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ERDDAP
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Brought to you by NOAA NMFS SWFSC ERD |
| griddap | Subset | tabledap | Make A Graph | wms | files | Title | Summary | FGDC | ISO 19115 | Info | Background Info | RSS | Institution | Dataset ID | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/GLIDERS_2021_01_03.subset | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/GLIDERS_2021_01_03 | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/GLIDERS_2021_01_03.graph | https://erddap.aoml.noaa.gov/hdb/erddap/files/GLIDERS_2021_01_03/ | GLIDERS_MISSIONS_2021 Jan_Mar | ru32-20210330T1448. Deployment of a Slocum glider to perform seasonal surveys of dissolved oxygen concentrations in the shallow coastal waters of New Jersey. This deployment is part of the New Jersey Department of Environmental Protection's yearly coastal waters oxygen monitoring efforts. This glider carried a Conductivity, Temperature, Depth (CTD), Seabird Scientific ECO triplet fluorescence-backscatter-chlorophyll a sensor, Sequoia Scientific LISST 200x, SeaView wave sensor, Vemco Mobile Transceiver and Aanderaa dissolved oxygen sensor.\n\ncdm_data_type = Point\nVARIABLES:\ntrajectory (Trajectory/Deployment Name)\ntime (Precise Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Precise Latitude, degrees_north)\nlongitude (Precise Longitude, degrees_east)\ndepth (m)\ntemperature (Sea Water Temperature, degree_C)\nsalinity (Sea Water Practical Salinity, 1e-3)\nu (Depth-Averaged Eastward Sea Water Velocity, m s-1)\nv (Depth-Averaged Northward Sea Water Velocity, m s-1)\nprofile_id\nprofile_time (seconds since 1970-01-01T00:00:00Z)\nprofile_latitude (degrees_north)\nprofile_longitude (degrees_east)\ntime_qc (profile_time Variable Quality Flag)\nlatitude_qc (latitude Variable Quality Flag, degrees_north)\nlongitude_qc (longitude Variable Quality Flag, degrees_east)\ndepth_qc (depth Variable Quality Flag)\ntemperature_qc (temperature Variable Quality Flag)\nsalinity_qc (salinity Variable Quality Flag)\nu_qc (u Variable Quality Flag)\nv_qc (v Variable Quality Flag)\nprofile_time_qc (time Variable Quality Flag)\nprofile_latitude_qc (profile_lat Variable Quality Flag, degrees_north)\nprofile_longitude_qc (precise_lon Variable Quality Flag, degrees_east)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/GLIDERS_2021_01_03_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/GLIDERS_2021_01_03_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/GLIDERS_2021_01_03/index.htmlTable | https://www.state.nj.us/dep/wms/bmw/glider.html
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/GLIDERS_2021_01_03.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=GLIDERS_2021_01_03&showErrors=false&email= | OOI Coastal Endurance | GLIDERS_2021_01_03 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/GLIDERS_2022_07_09.subset | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/GLIDERS_2022_07_09 | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/GLIDERS_2022_07_09.graph | https://erddap.aoml.noaa.gov/hdb/erddap/files/GLIDERS_2022_07_09/ | GLIDERS_MISSIONS_2022 Jul_Sep | ru30-20220906T1523. This project is conducting seasonal deployments to investigate carbonate chemistry and monitor ocean acidification in the Mid-Atlantic Bight. The glider used for the automated observation includes an integrated deep rated version of the Ion Sensitive Field Effect Transistor (ISFET)-based pH sensor. The pH sensor unit is complemented with existing glider sensors including a Conductivity, Temperature, Depth (CTD), a WETLabs FLBBCD ECO puck configured for simultaneous chlorophyll fluorescence and optical backscatter measurements, and an Aanderaa Optode for measuring dissolved oxygen. This approximately 21 to 30 day deployment out of Sandy Hook, NJ will run cross-shelf transects zig-zagging southward and ultimately coming back inshore along E line for a planned recovery out of Tuckerton, NJ as the battery pack allows. This glider track will cover Atlantic sea scallop and Atlantic surfclam habitats in the MAB. The real-time dataset contains CTD, dissolved oxygen, chlorophyll a, Colored Dissolved Organic Matter (CDOM) and optical backscatter measurements. Dissolved oxygen and pH data will be processed post-deployment. This is the second glider deployment in 2022 for this project.\n\ncdm_data_type = Point\nVARIABLES:\ntrajectory (Trajectory/Deployment Name)\ntime (Precise Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Precise Latitude, degrees_north)\nlongitude (Precise Longitude, degrees_east)\ndepth (m)\ntemperature (Sea Water Temperature, degree_C)\nsalinity (Sea Water Practical Salinity, 1e-3)\nu (Depth-Averaged Eastward Sea Water Velocity, m s-1)\nv (Depth-Averaged Northward Sea Water Velocity, m s-1)\nprofile_id\nprofile_time (seconds since 1970-01-01T00:00:00Z)\nprofile_latitude (degrees_north)\nprofile_longitude (degrees_east)\ntime_qc (profile_time Variable Quality Flag)\nlatitude_qc (latitude Variable Quality Flag, degrees_north)\n... (9 more variables)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/GLIDERS_2022_07_09_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/GLIDERS_2022_07_09_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/GLIDERS_2022_07_09/index.htmlTable | https://marine.rutgers.edu/main/
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/GLIDERS_2022_07_09.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=GLIDERS_2022_07_09&showErrors=false&email= | Oregon State University | GLIDERS_2022_07_09 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/GLIDERS_2023_04_06.subset | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/GLIDERS_2023_04_06 | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/GLIDERS_2023_04_06.graph | https://erddap.aoml.noaa.gov/hdb/erddap/files/GLIDERS_2023_04_06/ | GLIDERS_MISSIONS_2023 Apr_Jun | ru41-20230420T1638. This project is conducting a seasonal baseline survey with a pair of gliders (this glider and RU39) deployed in each season over two years with a full complement of available sensors to simultaneously map oceanographic and ecological variables. This glider is equipped with a Conductivity, Temperature, Depth (CTD), a WETLabs FLBBCD ECO puck configured for simultaneous chlorophyll fluorescence and optical backscatter measurements, an Aanderaa Optode for measuring dissolved oxygen, a DMON passive acoustic sensor for the detection of marine mammals, and an Rx-LIVE fish telemetry receiver to track tagged species moving through the region. This approximately 21- to 30-day deployment out of Sandy Hook, New Jersey will run a zig-zag transect along the coast of New Jersey, in and around current and planned offshore wind lease areas, with a planned recovery out of Tuckerton, New Jersey. The real-time dataset contains CTD, chlorophyll a, Colored Dissolved Organic Matter (CDOM), optical backscatter, and dissolved oxygen measurements. The display of baleen whale occurrence information will be available in near real-time on the Robots4Whales website: http://robots4whales.whoi.edu. Vemco acoustically-derived data will be processed post-deployment.\n\ncdm_data_type = Point\nVARIABLES:\ntrajectory (Trajectory/Deployment Name)\ntime (Precise Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Precise Latitude, degrees_north)\nlongitude (Precise Longitude, degrees_east)\ndepth (m)\ntemperature (Sea Water Temperature, degree_C)\nsalinity (Sea Water Practical Salinity, 1e-3)\nu (Depth-Averaged Eastward Sea Water Velocity, m s-1)\nv (Depth-Averaged Northward Sea Water Velocity, m s-1)\nprofile_id\nprofile_time (seconds since 1970-01-01T00:00:00Z)\nprofile_latitude (degrees_north)\nprofile_longitude (degrees_east)\ntime_qc (profile_time Variable Quality Flag)\n... (10 more variables)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/GLIDERS_2023_04_06_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/GLIDERS_2023_04_06_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/GLIDERS_2023_04_06/index.htmlTable | https://rucool.marine.rutgers.edu
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/GLIDERS_2023_04_06.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=GLIDERS_2023_04_06&showErrors=false&email= | Skidaway Institute of Oceanography | GLIDERS_2023_04_06 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ocean_color_8d_2002 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ocean_color_8d_2002.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/ocean_color_8d_2002/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/ocean_color_8d_2002/ | MODISA L3 SMI, 2002 | HMODISA Level-3 Standard Mapped Image\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nchlor_a (Chlorophyll Concentration, OCI Algorithm, mg m^-3)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/ocean_color_8d_2002_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/ocean_color_8d_2002_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/ocean_color_8d_2002/index.htmlTable | https://oceandata.sci.gsfc.nasa.gov
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/ocean_color_8d_2002.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=ocean_color_8d_2002&showErrors=false&email= | NASA/GSFC OBPG | ocean_color_8d_2002 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ocean_color_8d_2003 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ocean_color_8d_2003.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/ocean_color_8d_2003/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/ocean_color_8d_2003/ | MODISA L3 SMI, 2003 | HMODISA Level-3 Standard Mapped Image\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nchlor_a (Chlorophyll Concentration, OCI Algorithm, mg m^-3)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/ocean_color_8d_2003_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/ocean_color_8d_2003_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/ocean_color_8d_2003/index.htmlTable | https://oceandata.sci.gsfc.nasa.gov
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/ocean_color_8d_2003.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=ocean_color_8d_2003&showErrors=false&email= | NASA/GSFC OBPG | ocean_color_8d_2003 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ocean_color_8d_2004 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ocean_color_8d_2004.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/ocean_color_8d_2004/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/ocean_color_8d_2004/ | MODISA L3 SMI, 2004 | HMODISA Level-3 Standard Mapped Image\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nchlor_a (Chlorophyll Concentration, OCI Algorithm, mg m^-3)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/ocean_color_8d_2004_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/ocean_color_8d_2004_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/ocean_color_8d_2004/index.htmlTable | https://oceandata.sci.gsfc.nasa.gov
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/ocean_color_8d_2004.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=ocean_color_8d_2004&showErrors=false&email= | NASA/GSFC OBPG | ocean_color_8d_2004 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ocean_color_8d_2005 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ocean_color_8d_2005.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/ocean_color_8d_2005/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/ocean_color_8d_2005/ | MODISA L3 SMI, 2005 | HMODISA Level-3 Standard Mapped Image\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nchlor_a (Chlorophyll Concentration, OCI Algorithm, mg m^-3)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/ocean_color_8d_2005_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/ocean_color_8d_2005_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/ocean_color_8d_2005/index.htmlTable | https://oceandata.sci.gsfc.nasa.gov
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/ocean_color_8d_2005.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=ocean_color_8d_2005&showErrors=false&email= | NASA/GSFC OBPG | ocean_color_8d_2005 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ocean_color_8d_2006 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ocean_color_8d_2006.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/ocean_color_8d_2006/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/ocean_color_8d_2006/ | MODISA L3 SMI, 2006 | HMODISA Level-3 Standard Mapped Image\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nchlor_a (Chlorophyll Concentration, OCI Algorithm, mg m^-3)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/ocean_color_8d_2006_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/ocean_color_8d_2006_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/ocean_color_8d_2006/index.htmlTable | https://oceandata.sci.gsfc.nasa.gov
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/ocean_color_8d_2006.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=ocean_color_8d_2006&showErrors=false&email= | NASA/GSFC OBPG | ocean_color_8d_2006 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ocean_color_8d_2007 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ocean_color_8d_2007.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/ocean_color_8d_2007/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/ocean_color_8d_2007/ | MODISA L3 SMI, 2007 | HMODISA Level-3 Standard Mapped Image\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nchlor_a (Chlorophyll Concentration, OCI Algorithm, mg m^-3)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/ocean_color_8d_2007_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/ocean_color_8d_2007_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/ocean_color_8d_2007/index.htmlTable | https://oceandata.sci.gsfc.nasa.gov
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/ocean_color_8d_2007.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=ocean_color_8d_2007&showErrors=false&email= | NASA/GSFC OBPG | ocean_color_8d_2007 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ocean_color_8d_2008 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ocean_color_8d_2008.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/ocean_color_8d_2008/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/ocean_color_8d_2008/ | MODISA L3 SMI, 2008 | HMODISA Level-3 Standard Mapped Image\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nchlor_a (Chlorophyll Concentration, OCI Algorithm, mg m^-3)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/ocean_color_8d_2008_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/ocean_color_8d_2008_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/ocean_color_8d_2008/index.htmlTable | https://oceandata.sci.gsfc.nasa.gov
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/ocean_color_8d_2008.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=ocean_color_8d_2008&showErrors=false&email= | NASA/GSFC OBPG | ocean_color_8d_2008 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ocean_color_8d_2009 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ocean_color_8d_2009.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/ocean_color_8d_2009/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/ocean_color_8d_2009/ | MODISA L3 SMI, 2009 | HMODISA Level-3 Standard Mapped Image\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nchlor_a (Chlorophyll Concentration, OCI Algorithm, mg m^-3)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/ocean_color_8d_2009_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/ocean_color_8d_2009_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/ocean_color_8d_2009/index.htmlTable | https://oceandata.sci.gsfc.nasa.gov
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/ocean_color_8d_2009.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=ocean_color_8d_2009&showErrors=false&email= | NASA/GSFC OBPG | ocean_color_8d_2009 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ocean_color_8d_2010 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ocean_color_8d_2010.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/ocean_color_8d_2010/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/ocean_color_8d_2010/ | MODISA L3 SMI, 2010 | HMODISA Level-3 Standard Mapped Image\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nchlor_a (Chlorophyll Concentration, OCI Algorithm, mg m^-3)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/ocean_color_8d_2010_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/ocean_color_8d_2010_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/ocean_color_8d_2010/index.htmlTable | https://oceandata.sci.gsfc.nasa.gov
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/ocean_color_8d_2010.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=ocean_color_8d_2010&showErrors=false&email= | NASA/GSFC OBPG | ocean_color_8d_2010 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ocean_color_8d_2011 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ocean_color_8d_2011.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/ocean_color_8d_2011/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/ocean_color_8d_2011/ | MODISA L3 SMI, 2011 | HMODISA Level-3 Standard Mapped Image\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nchlor_a (Chlorophyll Concentration, OCI Algorithm, mg m^-3)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/ocean_color_8d_2011_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/ocean_color_8d_2011_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/ocean_color_8d_2011/index.htmlTable | https://oceandata.sci.gsfc.nasa.gov
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/ocean_color_8d_2011.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=ocean_color_8d_2011&showErrors=false&email= | NASA/GSFC OBPG | ocean_color_8d_2011 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ocean_color_8d_2012 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ocean_color_8d_2012.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/ocean_color_8d_2012/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/ocean_color_8d_2012/ | MODISA L3 SMI, 2012 | HMODISA Level-3 Standard Mapped Image\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nchlor_a (Chlorophyll Concentration, OCI Algorithm, mg m^-3)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/ocean_color_8d_2012_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/ocean_color_8d_2012_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/ocean_color_8d_2012/index.htmlTable | https://oceandata.sci.gsfc.nasa.gov
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/ocean_color_8d_2012.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=ocean_color_8d_2012&showErrors=false&email= | NASA/GSFC OBPG | ocean_color_8d_2012 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ocean_color_8d_2013 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ocean_color_8d_2013.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/ocean_color_8d_2013/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/ocean_color_8d_2013/ | MODISA L3 SMI, 2013 | HMODISA Level-3 Standard Mapped Image\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nchlor_a (Chlorophyll Concentration, OCI Algorithm, mg m^-3)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/ocean_color_8d_2013_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/ocean_color_8d_2013_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/ocean_color_8d_2013/index.htmlTable | https://oceandata.sci.gsfc.nasa.gov
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/ocean_color_8d_2013.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=ocean_color_8d_2013&showErrors=false&email= | NASA/GSFC OBPG | ocean_color_8d_2013 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ocean_color_8d_2014 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ocean_color_8d_2014.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/ocean_color_8d_2014/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/ocean_color_8d_2014/ | MODISA L3 SMI, 2014 | HMODISA Level-3 Standard Mapped Image\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nchlor_a (Chlorophyll Concentration, OCI Algorithm, mg m^-3)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/ocean_color_8d_2014_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/ocean_color_8d_2014_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/ocean_color_8d_2014/index.htmlTable | https://oceandata.sci.gsfc.nasa.gov
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/ocean_color_8d_2014.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=ocean_color_8d_2014&showErrors=false&email= | NASA/GSFC OBPG | ocean_color_8d_2014 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ocean_color_8d_2015 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ocean_color_8d_2015.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/ocean_color_8d_2015/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/ocean_color_8d_2015/ | MODISA L3 SMI, 2015 | Moderate Resolution Imaging Spectroradiometer (MODIS) Level-3 Standard Mapped Image\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nchlor_a (Chlorophyll Concentration, OCI Algorithm, mg m^-3)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/ocean_color_8d_2015_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/ocean_color_8d_2015_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/ocean_color_8d_2015/index.htmlTable | https://oceandata.sci.gsfc.nasa.gov
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/ocean_color_8d_2015.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=ocean_color_8d_2015&showErrors=false&email= | NASA/GSFC OBPG | ocean_color_8d_2015 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ocean_color_8d_2016 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ocean_color_8d_2016.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/ocean_color_8d_2016/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/ocean_color_8d_2016/ | MODISA L3 SMI, 2016 | HMODISA Level-3 Standard Mapped Image\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nchlor_a (Chlorophyll Concentration, OCI Algorithm, mg m^-3)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/ocean_color_8d_2016_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/ocean_color_8d_2016_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/ocean_color_8d_2016/index.htmlTable | https://oceandata.sci.gsfc.nasa.gov
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/ocean_color_8d_2016.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=ocean_color_8d_2016&showErrors=false&email= | NASA/GSFC OBPG | ocean_color_8d_2016 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ocean_color_8d_2017 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ocean_color_8d_2017.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/ocean_color_8d_2017/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/ocean_color_8d_2017/ | MODISA L3 SMI, 2017 | HMODISA Level-3 Standard Mapped Image\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nchlor_a (Chlorophyll Concentration, OCI Algorithm, mg m^-3)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/ocean_color_8d_2017_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/ocean_color_8d_2017_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/ocean_color_8d_2017/index.htmlTable | https://oceandata.sci.gsfc.nasa.gov
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/ocean_color_8d_2017.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=ocean_color_8d_2017&showErrors=false&email= | NASA/GSFC OBPG | ocean_color_8d_2017 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ocean_color_8d_2018 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ocean_color_8d_2018.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/ocean_color_8d_2018/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/ocean_color_8d_2018/ | MODISA L3 SMI, 2018 | Moderate Resolution Imaging Spectroradiometer on Aqua (MODISA) Level-3 Standard Mapped Image\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nchlor_a (Chlorophyll Concentration, OCI Algorithm, mg m^-3)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/ocean_color_8d_2018_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/ocean_color_8d_2018_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/ocean_color_8d_2018/index.htmlTable | https://oceandata.sci.gsfc.nasa.gov
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/ocean_color_8d_2018.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=ocean_color_8d_2018&showErrors=false&email= | NASA/GSFC OBPG | ocean_color_8d_2018 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ocean_color_8d_2019 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ocean_color_8d_2019.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/ocean_color_8d_2019/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/ocean_color_8d_2019/ | MODISA L3 SMI, 2019 | Moderate Resolution Imaging Spectroradiometer on Aqua (MODISA) Level-3 Standard Mapped Image\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nchlor_a (Chlorophyll Concentration, OCI Algorithm, mg m^-3)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/ocean_color_8d_2019_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/ocean_color_8d_2019_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/ocean_color_8d_2019/index.htmlTable | https://oceandata.sci.gsfc.nasa.gov
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/ocean_color_8d_2019.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=ocean_color_8d_2019&showErrors=false&email= | NASA/GSFC OBPG | ocean_color_8d_2019 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ocean_color_8d_2020 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ocean_color_8d_2020.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/ocean_color_8d_2020/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/ocean_color_8d_2020/ | MODISA L3 SMI, 2020 | Moderate Resolution Imaging Spectroradiometer on Aqua (MODISA) Level-3 Standard Mapped Image\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nchlor_a (Chlorophyll Concentration, OCI Algorithm, mg m^-3)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/ocean_color_8d_2020_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/ocean_color_8d_2020_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/ocean_color_8d_2020/index.htmlTable | https://oceandata.sci.gsfc.nasa.gov
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/ocean_color_8d_2020.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=ocean_color_8d_2020&showErrors=false&email= | NASA/GSFC OBPG | ocean_color_8d_2020 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ocean_color_8d_2021 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ocean_color_8d_2021.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/ocean_color_8d_2021/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/ocean_color_8d_2021/ | MODISA L3 SMI, 2021 | Moderate Resolution Imaging Spectroradiometer on Aqua (MODISA) Level-3 Standard Mapped Image\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nchlor_a (Chlorophyll Concentration, OCI Algorithm, mg m^-3)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/ocean_color_8d_2021_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/ocean_color_8d_2021_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/ocean_color_8d_2021/index.htmlTable | https://oceandata.sci.gsfc.nasa.gov
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/ocean_color_8d_2021.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=ocean_color_8d_2021&showErrors=false&email= | NASA/GSFC OBPG | ocean_color_8d_2021 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ocean_color_8d_2022 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ocean_color_8d_2022.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/ocean_color_8d_2022/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/ocean_color_8d_2022/ | MODISA L3 SMI, 2022 | Moderate Resolution Imaging Spectroradiometer on Aqua (MODISA) Level-3 Standard Mapped Image\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nchlor_a (Chlorophyll Concentration, OCI Algorithm, mg m^-3)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/ocean_color_8d_2022_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/ocean_color_8d_2022_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/ocean_color_8d_2022/index.htmlTable | https://oceandata.sci.gsfc.nasa.gov
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/ocean_color_8d_2022.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=ocean_color_8d_2022&showErrors=false&email= | NASA/GSFC OBPG | ocean_color_8d_2022 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ocean_color_8d_2023 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ocean_color_8d_2023.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/ocean_color_8d_2023/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/ocean_color_8d_2023/ | MODISA L3 SMI, 2023 | Moderate Resolution Imaging Spectroradiometer on Aqua (MODISA) Level-3 Standard Mapped Image\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nchlor_a (Chlorophyll Concentration, OCI Algorithm, mg m^-3)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/ocean_color_8d_2023_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/ocean_color_8d_2023_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/ocean_color_8d_2023/index.htmlTable | https://oceandata.sci.gsfc.nasa.gov
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/ocean_color_8d_2023.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=ocean_color_8d_2023&showErrors=false&email= | NASA/GSFC OBPG | ocean_color_8d_2023 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ocean_color_8d_2024 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ocean_color_8d_2024.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/ocean_color_8d_2024/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/ocean_color_8d_2024/ | MODISA L3 SMI, 2024 | Moderate Resolution Imaging Spectroradiometer on Aqua (MODISA) Level-3 Standard Mapped Image\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nchlor_a (Chlorophyll Concentration, OCI Algorithm, mg m^-3)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/ocean_color_8d_2024_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/ocean_color_8d_2024_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/ocean_color_8d_2024/index.htmlTable | https://oceandata.sci.gsfc.nasa.gov
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/ocean_color_8d_2024.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=ocean_color_8d_2024&showErrors=false&email= | NASA/GSFC OBPG | ocean_color_8d_2024 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1005_2017.subset | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1005_2017 | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1005_2017.graph | https://erddap.aoml.noaa.gov/hdb/erddap/files/sd1005_2017/ | Saildrone 1005 NOAA PMEL TPOS 2017 NRT (Pacific) | NOAA PMEL TPOS 2017 NRT Saildrone 1005. This file contains near-real time data from the Saildrone core sensors for the Pacific Marine Environmental Laboratory (PMEL) TPOS 2017 Mission (Mission 1) to the eastern tropical Pacific (10N, 125W and 0, 125W). This was the first of three missions funded by NOAA/OAR/CPO/OOMD and NOAA/OMAO as a pilot study for the Tropical Pacific Observing System (TPOS)-2020 project. The PIs were Dr. Meghan Cronin (NOAA PMEL), Dr. Dongxiao Zhang (UW Joint Institue for the Study of Atmoshere and Ocean (JISAO)), Dr. Adrienne Sutton (NOAA PMEL), and Mr. Christian Meinig (NOAA PMEL). Mr. Nathan Anderson contributed to the metadata creation. The PMEL TPOS 2017 Mission (aka Mission 1) had two Gen-4 Saildrones, each with a full atmospheric and ocean core sensor suite, an Acoustic Doppler Current Profiler (ADCP), and an ASVCO2 carbon flux and pH system. The two drones were deployed out of Alameda, CA on September 1, 2017 for a mission in the equatorial Pacific. After sailing near the CCE1 mooring off coastal California, the drones proceeded to the area near 10N, 125W. They remained in the area from October 18 - November 13, 2017 to participate in the Salinity Processes in the Upper Ocean Regional Study (SPURS)-2 field study, which included side-by-side data acquisition with a Woods Hole Oceanographic Institution (WHOI) buoy, and the R/V REVELLE. When SPURS-2 ended, the drones sailed south on either side of 125W, stopping for comparisons against Tropical Atmosphere/Ocean (TAO) moorings at 8N, 5N, and 2N. After crossing the equator, the drones returned to California. SD-1005 was recovered in San Luis Obispo Bay on May 6, 2018. SD-1006 was recovered from San Francisco Bay on May 18, 2018.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntrajectory (Trajectory/Drone ID)\nTEMP_O2_STDDEV (Seawater temperature SD, degree_C)\nSW_UNMASKED_IRRAD_CENTER_MEAN (Shortwave total radiation measured by unmasked center detector, W m-2)\nCHLOR_MEAN (Chlorophyll concentration, microgram L-1)\nRH_MEAN (Relative humidity, percent)\nRH_QC (quality flag)\nRH_DM (data mode)\n... (56 more variables)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/sd1005_2017_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/sd1005_2017_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/sd1005_2017/index.htmlTable | saildrone.com, pmel.noaa.gov | https://erddap.aoml.noaa.gov/hdb/erddap/rss/sd1005_2017.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=sd1005_2017&showErrors=false&email= | NOAA PMEL | sd1005_2017 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1005_2018.subset | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1005_2018 | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1005_2018.graph | https://erddap.aoml.noaa.gov/hdb/erddap/files/sd1005_2018/ | Saildrone 1005 NOAA PMEL TPOS 2018 NRT (Pacific) | NOAA PMEL TPOS 2018 NRT Saildrone 1005. This file contains near-real time data from the Saildrone core sensors for the Pacific Marine Environmental Laboratory (PMEL) TPOS 2018 Mission (Mission 2) to the central equatorial Pacific (0, 140W). This was the second of three missions funded by NOAA Office of Oceanic and Atmospheric Research (OAR)/CPO/OOMD and NOAA/OMAO as a pilot study for the Tropical Pacific Observing System (TPOS)-2020 project. The PIs were Dr. Meghan Cronin (NOAA PMEL), Dr. Dongxiao Zhang (UW Joint Institue for the Study of Atmoshere and Ocean (JISAO)), Dr. Adrienne Sutton (NOAA PMEL), and Mr. Christian Meinig (NOAA PMEL). Mr. Nathan Anderson contributed to the metadata creation. PMEL TPOS 2018 Mission (aka Mission 2) had four Saildrones: SD1005 and SD1006 were Gen 4 drones, and SD1029 and SD1030 were Gen 5 drones equipped with a larger wing designed for equatorial work. The drones were each equipped with full atmospheric and ocean core sensor suite, and an Acoustic Doppler Current Profiler (ADCP) (not included in this file). SD1029 & SD1030 also carried shortwave and longwave radiation (included in core set) and an ASVCO2 carbon flux and pH system; these carbon data are served in a separate file. SD1029 had 3 strap-on SBE56 temperature sensors (at 0.35m, 1.16m, and 1.72m) to study the near-surface stratification. For the Gen5 drones, the core Conductivity, Temperature, Depth (CTD) was an RBR located in the flowthrough tunnel in the keel. The carbon system also had an independent prawler CTD that is higher quality than the RBR. The vehicles were deployed out of Honolulu, HI on October 3, 2018. After sailing near a PMEL Carbon mooring in Kaneohe Bay, HI, the drones proceeded to the Tropical Atmosphere/Ocean (TAO) mooring at 9N, 140W. Three drones completed a circuit around the mooring, and then began their transit south towards the equator. Two drones made it to the equator and sailed near the TAO moorings at 0, 140W. Navigation issues caused the mission to be aborted early (mid-December 2018), before further science tasks could be completed. Three Saildrones were recovered in Honolulu on 01-27-19. SD1030 was recovered in HI later in the spring of 2019.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntrajectory (Trajectory/Drone ID)\nlatitude_QC (quality flag, degrees_north)\n... (60 more variables)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/sd1005_2018_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/sd1005_2018_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/sd1005_2018/index.htmlTable | saildrone.com, pmel.noaa.gov | https://erddap.aoml.noaa.gov/hdb/erddap/rss/sd1005_2018.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=sd1005_2018&showErrors=false&email= | NOAA PMEL | sd1005_2018 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1006_2017.subset | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1006_2017 | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1006_2017.graph | https://erddap.aoml.noaa.gov/hdb/erddap/files/sd1006_2017/ | Saildrone 1006 NOAA PMEL TPOS 2017 NRT (Pacific) | NOAA PMEL TPOS 2017 NRT Saildrone 1006. This file contains near-real time data from the Saildrone core sensors for the Pacific Marine Environmental Laboratory (PMEL) TPOS 2017 Mission (Mission 1) to the eastern tropical Pacific (10N, 125W and 0, 125W). This was the first of three missions funded by NOAA/OAR/CPO/OOMD and NOAA/OMAO as a pilot study for the Tropical Pacific Observing System (TPOS)-2020 project. The PIs were Dr. Meghan Cronin (NOAA PMEL), Dr. Dongxiao Zhang (UW Joint Institue for the Study of Atmoshere and Ocean (JISAO)), Dr. Adrienne Sutton (NOAA PMEL), and Mr. Christian Meinig (NOAA PMEL). Mr. Nathan Anderson contributed to the metadata creation. The PMEL TPOS 2017 Mission (aka Mission 1) had two Gen-4 Saildrones, each with a full atmospheric and ocean core sensor suite, an Acoustic Doppler Current Profiler (ADCP), and an ASVCO2 carbon flux and pH system. The two drones were deployed out of Alameda, CA on September 1, 2017 for a mission in the equatorial Pacific. After sailing near the CCE1 mooring off coastal California, the drones proceeded to the area near 10N, 125W. They remained in the area from October 18 - November 13, 2017 to participate in the Salinity Processes in the Upper Ocean Regional Study (SPURS)-2 field study, which included side-by-side data acquisition with a Woods Hole Oceanographic Institution (WHOI) buoy, and the R/V REVELLE. When SPURS-2 ended, the drones sailed south on either side of 125W, stopping for comparisons against Tropical Atmosphere/Ocean (TAO) moorings at 8N, 5N, and 2N. After crossing the equator, the drones returned to California. SD-1005 was recovered in San Luis Obispo Bay on May 6, 2018. SD-1006 was recovered from San Francisco Bay on May 18, 2018.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntrajectory (Trajectory/Drone ID)\nTEMP_O2_STDDEV (Seawater temperature SD, degree_C)\nSW_UNMASKED_IRRAD_CENTER_MEAN (Shortwave total radiation measured by unmasked center detector, W m-2)\nCHLOR_MEAN (Chlorophyll concentration, microgram L-1)\nRH_MEAN (Relative humidity, percent)\nRH_QC (quality flag)\nRH_DM (data mode)\n... (56 more variables)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/sd1006_2017_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/sd1006_2017_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/sd1006_2017/index.htmlTable | saildrone.com, pmel.noaa.gov | https://erddap.aoml.noaa.gov/hdb/erddap/rss/sd1006_2017.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=sd1006_2017&showErrors=false&email= | NOAA PMEL | sd1006_2017 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1006_2018.subset | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1006_2018 | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1006_2018.graph | https://erddap.aoml.noaa.gov/hdb/erddap/files/sd1006_2018/ | Saildrone 1006 NOAA PMEL TPOS 2018 NRT (Pacific) | NOAA PMEL TPOS 2018 NRT Saildrone 1006. This file contains near-real time data from the Saildrone core sensors for the Pacific Marine Environmental Laboratory (PMEL) TPOS 2018 Mission (Mission 2) to the central equatorial Pacific (0, 140W). This was the second of three missions funded by NOAA Office of Oceanic and Atmospheric Research (OAR)/CPO/OOMD and NOAA/OMAO as a pilot study for the Tropical Pacific Observing System (TPOS)-2020 project. The PIs were Dr. Meghan Cronin (NOAA PMEL), Dr. Dongxiao Zhang (UW Joint Institue for the Study of Atmoshere and Ocean (JISAO)), Dr. Adrienne Sutton (NOAA PMEL), and Mr. Christian Meinig (NOAA PMEL). Mr. Nathan Anderson contributed to the metadata creation. PMEL TPOS 2018 Mission (aka Mission 2) had four Saildrones: SD1005 and SD1006 were Gen 4 drones, and SD1029 and SD1030 were Gen 5 drones equipped with a larger wing designed for equatorial work. The drones were each equipped with full atmospheric and ocean core sensor suite, and an Acoustic Doppler Current Profiler (ADCP) (not included in this file). SD1029 & SD1030 also carried shortwave and longwave radiation (included in core set) and an ASVCO2 carbon flux and pH system; these carbon data are served in a separate file. SD1029 had 3 strap-on SBE56 temperature sensors (at 0.35m, 1.16m, and 1.72m) to study the near-surface stratification. For the Gen5 drones, the core Conductivity, Temperature, Depth (CTD) was an RBR located in the flowthrough tunnel in the keel. The carbon system also had an independent prawler CTD that is higher quality than the RBR. The vehicles were deployed out of Honolulu, HI on October 3, 2018. After sailing near a PMEL Carbon mooring in Kaneohe Bay, HI, the drones proceeded to the Tropical Atmosphere/Ocean (TAO) mooring at 9N, 140W. Three drones completed a circuit around the mooring, and then began their transit south towards the equator. Two drones made it to the equator and sailed near the TAO moorings at 0, 140W. Navigation issues caused the mission to be aborted early (mid-December 2018), before further science tasks could be completed. Three Saildrones were recovered in Honolulu on 01-27-19. SD1030 was recovered in HI later in the spring of 2019.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntrajectory (Trajectory/Drone ID)\nlatitude_QC (quality flag, degrees_north)\n... (60 more variables)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/sd1006_2018_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/sd1006_2018_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/sd1006_2018/index.htmlTable | saildrone.com, pmel.noaa.gov | https://erddap.aoml.noaa.gov/hdb/erddap/rss/sd1006_2018.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=sd1006_2018&showErrors=false&email= | NOAA PMEL | sd1006_2018 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1029_2018.subset | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1029_2018 | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1029_2018.graph | https://erddap.aoml.noaa.gov/hdb/erddap/files/sd1029_2018/ | Saildrone 1029 NOAA PMEL TPOS 2018 NRT (Pacific) | NOAA PMEL TPOS 2018 NRT Saildrone 1029. This file contains near-real time data from the Saildrone core sensors for the Pacific Marine Environmental Laboratory (PMEL) TPOS 2018 Mission (Mission 2) to the central equatorial Pacific (0, 140W). This was the second of three missions funded by NOAA Office of Oceanic and Atmospheric Research (OAR)/CPO/OOMD and NOAA/OMAO as a pilot study for the Tropical Pacific Observing System (TPOS)-2020 project. The PIs were Dr. Meghan Cronin (NOAA PMEL), Dr. Dongxiao Zhang (UW Joint Institue for the Study of Atmoshere and Ocean (JISAO)), Dr. Adrienne Sutton (NOAA PMEL), and Mr. Christian Meinig (NOAA PMEL). Mr. Nathan Anderson contributed to the metadata creation. PMEL TPOS 2018 Mission (aka Mission 2) had four Saildrones: SD1005 and SD1006 were Gen 4 drones, and SD1029 and SD1030 were Gen 5 drones equipped with a larger wing designed for equatorial work. The drones were each equipped with full atmospheric and ocean core sensor suite, and an Acoustic Doppler Current Profiler (ADCP) (not included in this file). SD1029 & SD1030 also carried shortwave and longwave radiation (included in core set) and an ASVCO2 carbon flux and pH system; these carbon data are served in a separate file. SD1029 had 3 strap-on SBE56 temperature sensors (at 0.35m, 1.16m, and 1.72m) to study the near-surface stratification. For the Gen5 drones, the core Conductivity, Temperature, Depth (CTD) was an RBR located in the flowthrough tunnel in the keel. The carbon system also had an independent prawler CTD that is higher quality than the RBR. The vehicles were deployed out of Honolulu, HI on October 3, 2018. After sailing near a PMEL Carbon mooring in Kaneohe Bay, HI, the drones proceeded to the Tropical Atmosphere/Ocean (TAO) mooring at 9N, 140W. Three drones completed a circuit around the mooring, and then began their transit south towards the equator. Two drones made it to the equator and sailed near the TAO moorings at 0, 140W. Navigation issues caused the mission to be aborted early (mid-December 2018), before further science tasks could be completed. Three Saildrones were recovered in Honolulu on 01-27-19. SD1030 was recovered in HI later in the spring of 2019.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntrajectory (Trajectory/Drone ID)\nlatitude_QC (quality flag, degrees_north)\n... (84 more variables)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/sd1029_2018_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/sd1029_2018_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/sd1029_2018/index.htmlTable | saildrone.com, pmel.noaa.gov | https://erddap.aoml.noaa.gov/hdb/erddap/rss/sd1029_2018.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=sd1029_2018&showErrors=false&email= | NOAA PMEL | sd1029_2018 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1030_2018.subset | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1030_2018 | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1030_2018.graph | https://erddap.aoml.noaa.gov/hdb/erddap/files/sd1030_2018/ | Saildrone 1030 NOAA PMEL TPOS 2018 NRT (Pacific) | NOAA PMEL TPOS 2018 NRT Saildrone 1030. This file contains near-real time data from the Saildrone core sensors for the Pacific Marine Environmental Laboratory (PMEL) TPOS 2018 Mission (Mission 2) to the central equatorial Pacific (0, 140W). This was the second of three missions funded by NOAA Office of Oceanic and Atmospheric Research (OAR)/CPO/OOMD and NOAA/OMAO as a pilot study for the Tropical Pacific Observing System (TPOS)-2020 project. The PIs were Dr. Meghan Cronin (NOAA PMEL), Dr. Dongxiao Zhang (UW Joint Institue for the Study of Atmoshere and Ocean (JISAO)), Dr. Adrienne Sutton (NOAA PMEL), and Mr. Christian Meinig (NOAA PMEL). Mr. Nathan Anderson contributed to the metadata creation. PMEL TPOS 2018 Mission (aka Mission 2) had four Saildrones: SD1005 and SD1006 were Gen 4 drones, and SD1029 and SD1030 were Gen 5 drones equipped with a larger wing designed for equatorial work. The drones were each equipped with full atmospheric and ocean core sensor suite, and an Acoustic Doppler Current Profiler (ADCP) (not included in this file). SD1029 & SD1030 also carried shortwave and longwave radiation (included in core set) and an ASVCO2 carbon flux and pH system; these carbon data are served in a separate file. SD1029 had 3 strap-on SBE56 temperature sensors (at 0.35m, 1.16m, and 1.72m) to study the near-surface stratification. For the Gen5 drones, the core Conductivity, Temperature, Depth (CTD) was an RBR located in the flowthrough tunnel in the keel. The carbon system also had an independent prawler CTD that is higher quality than the RBR. The vehicles were deployed out of Honolulu, HI on October 3, 2018. After sailing near a PMEL Carbon mooring in Kaneohe Bay, HI, the drones proceeded to the Tropical Atmosphere/Ocean (TAO) mooring at 9N, 140W. Three drones completed a circuit around the mooring, and then began their transit south towards the equator. Two drones made it to the equator and sailed near the TAO moorings at 0, 140W. Navigation issues caused the mission to be aborted early (mid-December 2018), before further science tasks could be completed. Three Saildrones were recovered in Honolulu on 01-27-19. SD1030 was recovered in HI later in the spring of 2019.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntrajectory (Trajectory/Drone ID)\nlatitude_QC (quality flag, degrees_north)\n... (84 more variables)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/sd1030_2018_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/sd1030_2018_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/sd1030_2018/index.htmlTable | saildrone.com, pmel.noaa.gov | https://erddap.aoml.noaa.gov/hdb/erddap/rss/sd1030_2018.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=sd1030_2018&showErrors=false&email= | NOAA PMEL | sd1030_2018 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1030_tpos_2023.subset | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1030_tpos_2023 | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1030_tpos_2023.graph | https://erddap.aoml.noaa.gov/hdb/erddap/files/sd1030_tpos_2023/ | Saildrone 1030 NOAA PMEL TPOS 2023 (Pacific) | NOAA PMEL TPOS 2023 Saildrone 1030. This file contains data from the Saildrone Inc. Uncrewed Surface Vehicle (USV) (i.e., \"saildrone\") core MetOcean sensors for the NOAA Pacific Marine Environmental Laboratory (PMEL) TPOS 2023 Mission (Mission 6) to the central tropical Pacific along the 155°W meridian, west along the equator, and returning north roughly along the 170°W meridian. This mission was funded by NOAA OMAO UxSOC and the UMS 2022 project to implement the Research to Operations - Component Service Transition Plan Volume 1-C \"Uncrewed Surface Vehicles (USV) integrated within the Tropical Pacific Observing System (TPOS)\". This TPOS-2023 mission, focused on observing air-sea interaction processes and CO2 fluxes associated with the developing 2023 El Nino, an equatorial upwelling experiment near 0°N 153.5°W, a comparison with R/V Antea near 0°N 166°W, and several National Data Buoy Center (NDBC) buoy flybys. A pre-mission comparison against the WHOTS mooring was also conducted from May 30 - June 2, 2023. The PIs were Dr. Meghan Cronin (NOAA PMEL), Dr. Dongxiao Zhang (UW Cooperative Institute for Climate, Ocean, and Ecosystem Studies (UW CICOES)), Dr. Adrienne Sutton (NOAA PMEL), Dr. Samantha Wills (UW/CICOES), Dr. Réka Domokos (NOAA National Marine Fisheries Service (NMFS) Pacific Islands Fisheries Science Center (PIFSC) Ecosystem Services Division (ESD)), Karen Grissom (NOAA NDBC), Eugene Burger (NOAA PMEL), Yolande Serra (UW CICOES), Dr. Arun Kumar (NOAA National Centers for Environmental Prediction (NCEP)), Dr. Jack Reeves Eyre (NOAA NCEP and ERT), and Jieshun Zhu (NOAA NCEP). Mr. Nathan Anderson (UW CICOES) contributed to the metadata creation. The PMEL TPOS 2023 Mission (aka Mission 6) had three Saildrones: SD1030, SD1033, and SD1079. All were standard Gen 6 drones with the core MetOcean package and an ASVCO2 Gen2 carbon flux system. SD1030 and SD1033 were equipped with Acoustic Doppler Current Profilers (ADCPs) at 1.86m (not included in this file) and SD1079 with an EK80 echo sounder. The collaboration with NMFS facilitated the addition of the echo sounder to explore the value of combining physical and fish biomass surveys of the Pacific Islands Regions, with the collaboration's goal of connecting the life cycle with the energy, water, and carbon cycles to improve ecosystem forecasts within Earth system models. The core Conductivity, Temperature, Depth (CTD) sensor was an SBE 37-SMP at 1.7m, and a temperature logger RBR Coda^3 T at 0.5m, with 3x PMEL-provided self-logging SBE56 Temperature sensors at 0.355m, 0.775m, and 1.155m. All drones had a PMEL-provided SPN1 shielded shortwave radiometer and a Kipp and Zonen longwave radiometer. Carbon system data (including the CTD data) are served through a separate file. EK80 data will also be provided as a separate file. The vehicles for the 2023 mission were deployed out of Honolulu, HI in June 2023, arriving on station (near 18°N 155°W) to initiate the mission on 22 June 2023. The 120-day mission was extended to 05 Nov 2023, because SD1030 went off-mission early (12 Sept 2023) due to navigational issues.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\n... (74 more variables)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/sd1030_tpos_2023_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/sd1030_tpos_2023_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/sd1030_tpos_2023/index.htmlTable | saildrone.com, pmel.noaa.gov | https://erddap.aoml.noaa.gov/hdb/erddap/rss/sd1030_tpos_2023.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=sd1030_tpos_2023&showErrors=false&email= | NOAA PMEL | sd1030_tpos_2023 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1033_tpos_2022.subset | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1033_tpos_2022 | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1033_tpos_2022.graph | https://erddap.aoml.noaa.gov/hdb/erddap/files/sd1033_tpos_2022/ | Saildrone 1033 NOAA PMEL TPOS 2022 (Pacific) | NOAA PMEL TPOS 2022 Saildrone 1033. This file contains data from the Saildrone, Inc. Uncrewed Surface Vehicle (USV), aka \"saildrone\", core MetOcean sensors for the NOAA Pacific Marine Environmental Laboratory (PMEL) TPOS 2022 Mission (Mission 5) to the eastern tropical Pacific along the 125W meridian. This mission was funded by NOAA/OMAO as a demonstration project to test saildrone as a research and operational platform for the Tropical Pacific Observing System (TPOS). The mission focused on observing air-sea interaction processes and CO2 fluxes associated with the predicted rare 3rd consecutive La Niña, Tropical Instability Waves, and high frequency eddy and frontal variability between the Equatorial Cold Tongue and the Intertropical Convergence Zone. The PIs were Dr. Meghan Cronin (NOAA/PMEL), Dr. Dongxiao Zhang (UW Cooperative Institute for Climate, Ocean, and Ecosystem Studies (UW/CICOES)), Dr. Adrienne Sutton (NOAA/PMEL), and Mr. Christian Meinig (NOAA/PMEL). Dr. Samantha Wills (UW/CICOES) was a research scientist with the project, acting as a co-PI and Mission Manager during this mission. Mr. Nathan Anderson (UW/CICOES) contributed to the metadata creation. The PMEL TPOS 2022 Mission (aka Mission 5) had two Saildrones: SD1033 and SD1052. Both were standard Gen 6 drones, with an Acoustic Doppler Current Profiler (ADCP) at 1.86m (not included in this file) and the core MetOcean package. The core Conductivity, Temperature, Depth (CTD) was an SBE 37-SMP at 1.7m, with an RBR Coda^3 T temperature sensor at 0.5m and 3x SBE56 T sensors at 0.33m, 0.5m on SD1052 (0.75m on SD1033), and 1.13m. Both SD1033 and SD1052 had an ASVCO2 Gen2 carbon flux system, an SPN1 shielded shortwave radiometer, and an Eppley longwave radiometer. The vehicles for the 2022 mission were deployed out of San Francisco Bay, CA in early May 2022, arriving on station to initiate the mission on 22 June 2022. The 90-day mission ended 22 Sept 2022.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntrajectory (Trajectory/Drone ID)\nSOG (Speed over ground, m s-1)\nSOG_FILTERED_MEAN (Speed over ground one minute mean, m s-1)\nSOG_FILTERED_STDDEV (Speed over ground one minute stddev, m s-1)\n... (74 more variables)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/sd1033_tpos_2022_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/sd1033_tpos_2022_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/sd1033_tpos_2022/index.htmlTable | saildrone.com, pmel.noaa.gov | https://erddap.aoml.noaa.gov/hdb/erddap/rss/sd1033_tpos_2022.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=sd1033_tpos_2022&showErrors=false&email= | NOAA PMEL | sd1033_tpos_2022 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1033_tpos_2023.subset | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1033_tpos_2023 | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1033_tpos_2023.graph | https://erddap.aoml.noaa.gov/hdb/erddap/files/sd1033_tpos_2023/ | Saildrone 1033 NOAA PMEL TPOS 2023 (Pacific) | NOAA PMEL TPOS 2023 Saildrone 1033. This file contains data from the Saildrone Inc. Uncrewed Surface Vehicle (USV) (i.e., \"saildrone\") core MetOcean sensors for the NOAA Pacific Marine Environmental Laboratory (PMEL) TPOS 2023 Mission (Mission 6) to the central tropical Pacific along the 155°W meridian, west along the equator, and returning north roughly along the 170°W meridian. This mission was funded by NOAA OMAO UxSOC and the UMS 2022 project to implement the Research to Operations - Component Service Transition Plan Volume 1-C \"Uncrewed Surface Vehicles (USV) integrated within the Tropical Pacific Observing System (TPOS)\". This TPOS-2023 mission, focused on observing air-sea interaction processes and CO2 fluxes associated with the developing 2023 El Nino, an equatorial upwelling experiment near 0°N 153.5°W, a comparison with R/V Antea near 0°N 166°W, and several National Data Buoy Center (NDBC) buoy flybys. A pre-mission comparison against the WHOTS mooring was also conducted from May 30 - June 2, 2023. The PIs were Dr. Meghan Cronin (NOAA PMEL), Dr. Dongxiao Zhang (UW Cooperative Institute for Climate, Ocean, and Ecosystem Studies (UW CICOES)), Dr. Adrienne Sutton (NOAA PMEL), Dr. Samantha Wills (UW/CICOES), Dr. Réka Domokos (NOAA National Marine Fisheries Service (NMFS) Pacific Islands Fisheries Science Center (PIFSC) Ecosystem Services Division (ESD)), Karen Grissom (NOAA NDBC), Eugene Burger (NOAA PMEL), Yolande Serra (UW CICOES), Dr. Arun Kumar (NOAA National Centers for Environmental Prediction (NCEP)), Dr. Jack Reeves Eyre (NOAA NCEP and ERT), and Jieshun Zhu (NOAA NCEP). Mr. Nathan Anderson (UW CICOES) contributed to the metadata creation. The PMEL TPOS 2023 Mission (aka Mission 6) had three Saildrones: SD1030, SD1033, and SD1079. All were standard Gen 6 drones with the core MetOcean package and an ASVCO2 Gen2 carbon flux system. SD1030 and SD1033 were equipped with Acoustic Doppler Current Profilers (ADCPs) at 1.86m (not included in this file) and SD1079 with an EK80 echo sounder. The collaboration with NMFS facilitated the addition of the echo sounder to explore the value of combining physical and fish biomass surveys of the Pacific Islands Regions, with the collaboration's goal of connecting the life cycle with the energy, water, and carbon cycles to improve ecosystem forecasts within Earth system models. The core Conductivity, Temperature, Depth (CTD) sensor was an SBE 37-SMP at 1.7m, and a temperature logger RBR Coda^3 T at 0.5m, with 3x PMEL-provided self-logging SBE56 Temperature sensors at 0.355m, 0.775m, and 1.155m. All drones had a PMEL-provided SPN1 shielded shortwave radiometer and a Kipp and Zonen longwave radiometer. Carbon system data (including the CTD data) are served through a separate file. EK80 data will also be provided as a separate file. The vehicles for the 2023 mission were deployed out of Honolulu, HI in June 2023, arriving on station (near 18°N 155°W) to initiate the mission on 22 June 2023. The 120-day mission was extended to 05 Nov 2023, because SD1030 went off-mission early (12 Sept 2023) due to navigational issues.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\n... (74 more variables)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/sd1033_tpos_2023_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/sd1033_tpos_2023_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/sd1033_tpos_2023/index.htmlTable | saildrone.com, pmel.noaa.gov | https://erddap.aoml.noaa.gov/hdb/erddap/rss/sd1033_tpos_2023.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=sd1033_tpos_2023&showErrors=false&email= | NOAA PMEL | sd1033_tpos_2023 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1033_tpos_2024.subset | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1033_tpos_2024 | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1033_tpos_2024.graph | https://erddap.aoml.noaa.gov/hdb/erddap/files/sd1033_tpos_2024/ | Saildrone 1033 NOAA PMEL TPOS 2024 (Pacific) | NOAA PMEL TPOS 2024 Saildrone 1033. This file contains data from the Saildrone Inc. Uncrewed Surface Vehicle (USV) (i.e., \"saildrone\") core MetOcean sensors for the NOAA Pacific Marine Environmental Laboratory (PMEL) Tropical Pacific Observing System (TPOS) 2024 Mission (Mission 7) to the central tropical Pacific. The mission started on Oct 30, 2024 with a transect along the 125°W meridian from 10°N to 6°N, where the USVs then caught favorable currents to intercept the National Science Foundation (NSF)-funded Mixing belOw Tropical Instability waVEs (MOTIVE) cruise near 1°N 138°W. The MOTIVE cruise featured a drifting array of University of Washington (UW) Applied Physics Laboratory (APL) Wirewalkers and a UW profiling glider (glider PI: Katie Kohlman (UW School of Oceanography)), against which the Saildrones conducted a coordinated frontal study (Nov 22 - 26, 2024). For more information on the MOTIVE cruise, see https://www.polarsteps.com/AnnaAndTheWater/14669345-motive-cruise-i. An upwelling experiment and Tropical Atmosphere/Ocean (TAO) intercomparison at 0°N 140°W was also performed (Dec 2 - 5) before the drones were swept westward by stronger-than-usual equatorial currents associated with the La Niña. Additional scientific objectives accomplished included observations of convective cold pool events, sharp fronts of submeso- and meso-scale processes within Tropical Instability Waves, and a return to the 140°W meridian leveraging North Equatorial Countercurrent (NECC) under the Inter-Tropical Convergence Zone (ITCZ). This mission was supported through the NOAA OMAO Uncrewed Systems Operation Center (UxSOC) funded project titled \"Uncrewed Surface Vehicles (USV) integrated within the Tropical Pacific Observing System\", which follows the implementation strategy laid out by the Uncrewed Marine Systems (UMS) 2022 \"Research to Operations - Component Service Transition Plan Volume 1-C\". The PIs and mission managers were Dr. Meghan Cronin (NOAA PMEL), Dr. Dongxiao Zhang (UW Cooperative Institute for Climate, Ocean, and Ecosystem Studies (UW CICOES)), Dr. Yolande Serra (UW CICOES), and Dr. Elizabeth McGeorge (UW CICOES). Other PIs for this mission include: Dr. Adrienne Sutton (NOAA PMEL) for ASVCO2 measurements, Eugene Burger (NOAA PMEL) for data stream issues, Dr. Réka Domokos (NOAA National Marine Fisheries Service (NMFS) Pacific Islands Fisheries Science Center (PIFSC)) for fisheries applications (note: there was no EK80 deployed during this mission), Ian Sears and Stephanie Ray (both at NOAA National Data Buoy Center (NDBC)) for coordination with NDBC TPOS components, and Drs. Arun Kumar and Jieshun Zhu (both at NOAA National Centers for Environmental Prediction (NCEP)) for operational weather, climate and ocean applications. In addition to being part of the mission management team, Mr. Nathan Anderson worked with Ms. Ellen Koukel (both of UW CICOES) on the metadata creation and data archiving. The PMEL TPOS 2024 Mission (aka Mission 7) had two Saildrones: SD1033 and SD1090. Both were standard Gen 6 drones with the core MetOcean package and an ASVCO2 Gen2 carbon flux system. Both were equipped with Acoustic Doppler Current Profilers (ADCPs) at 1.86m (not included in this file). The core Conductivity, Temperature, Depth (CTD) sensor was an SBE 37-SMP at 1.7m, and a temperature logger RBR Coda^3 T at 0.5m, with 3x PMEL-provided self-logging SBE56 Temperature sensors nominally located at 0.33m, 0.75m, and 1.03m. All drones had a PMEL-provided SPN1 shielded shortwave radiometer and a Kipp and Zonen longwave radiometer (on a standalone data logger and processed separately). Carbon system data (including the CTD data) are also served through a separate file. The vehicles for the 2024 mission were deployed out of Alameda, CA, arriving on station (10°N 125°W) to initiate the mission on 30 Oct 2024. The 98-day mission was terminated 4 Feb 2025 after anemometers failed on both SD1090 (Jan 15) and SD1033 (Jan 18).\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\n... (80 more variables)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/sd1033_tpos_2024_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/sd1033_tpos_2024_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/sd1033_tpos_2024/index.htmlTable | https://www.pmel.noaa.gov/ocs/saildrone;
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/sd1033_tpos_2024.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=sd1033_tpos_2024&showErrors=false&email= | NOAA/PMEL | sd1033_tpos_2024 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1052_tpos_2022.subset | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1052_tpos_2022 | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1052_tpos_2022.graph | https://erddap.aoml.noaa.gov/hdb/erddap/files/sd1052_tpos_2022/ | Saildrone 1052 NOAA PMEL TPOS 2022 (Pacific) | NOAA PMEL TPOS 2022 Saildrone 1052. This file contains data from the Saildrone, Inc. Uncrewed Surface Vehicle (USV), aka \"saildrone\", core MetOcean sensors for the NOAA Pacific Marine Environmental Laboratory (PMEL) TPOS 2022 Mission (Mission 5) to the eastern tropical Pacific along the 125W meridian. This mission was funded by NOAA/OMAO as a demonstration project to test saildrone as a research and operational platform for the Tropical Pacific Observing System (TPOS). The mission focused on observing air-sea interaction processes and CO2 fluxes associated with the predicted rare 3rd consecutive La Niña, Tropical Instability Waves, and high frequency eddy and frontal variability between the Equatorial Cold Tongue and the Intertropical Convergence Zone. The PIs were Dr. Meghan Cronin (NOAA/PMEL), Dr. Dongxiao Zhang (UW Cooperative Institute for Climate, Ocean, and Ecosystem Studies (UW/CICOES)), Dr. Adrienne Sutton (NOAA/PMEL), and Mr. Christian Meinig (NOAA/PMEL). Dr. Samantha Wills (UW/CICOES) was a research scientist with the project, acting as a co-PI and Mission Manager during this mission. Mr. Nathan Anderson (UW/CICOES) contributed to the metadata creation. The PMEL TPOS 2022 Mission (aka Mission 5) had two Saildrones: SD1033 and SD1052. Both were standard Gen 6 drones, with an Acoustic Doppler Current Profiler (ADCP) at 1.86m (not included in this file) and the core MetOcean package. The core Conductivity, Temperature, Depth (CTD) was an SBE 37-SMP at 1.7m, with an RBR Coda^3 T temperature sensor at 0.5m and 3x SBE56 T sensors at 0.33m, 0.5m on SD1052 (0.75m on SD1033), and 1.13m. Both SD1033 and SD1052 had an ASVCO2 Gen2 carbon flux system, an SPN1 shielded shortwave radiometer, and an Eppley longwave radiometer. The vehicles for the 2022 mission were deployed out of San Francisco Bay, CA in early May 2022, arriving on station to initiate the mission on 22 June 2022. The 90-day mission ended 22 Sept 2022.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntrajectory (Trajectory/Drone ID)\nSOG (Speed over ground, m s-1)\nSOG_FILTERED_MEAN (Speed over ground one minute mean, m s-1)\nSOG_FILTERED_STDDEV (Speed over ground one minute stddev, m s-1)\n... (70 more variables)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/sd1052_tpos_2022_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/sd1052_tpos_2022_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/sd1052_tpos_2022/index.htmlTable | saildrone.com, pmel.noaa.gov | https://erddap.aoml.noaa.gov/hdb/erddap/rss/sd1052_tpos_2022.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=sd1052_tpos_2022&showErrors=false&email= | NOAA PMEL | sd1052_tpos_2022 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1065_tpos_2021.subset | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1065_tpos_2021 | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1065_tpos_2021.graph | https://erddap.aoml.noaa.gov/hdb/erddap/files/sd1065_tpos_2021/ | Saildrone 1065 NOAA PMEL TPOS 2021 (Pacific) | NOAA PMEL TPOS 2021 Saildrone 1065. This file contains data from the Saildrone Inc. Uncrewed Surface Vehicle (USV), aka \"saildrone\", core MetOcean sensors for the NOAA Pacific Marine Environmental Laboratory (PMEL) TPOS 2021 Mission (Mission 4) to the eastern tropical Pacific hurricane genesis region near 10N - 15N, 110W, the near-equatorial Cold Tongue region between 110W - 125W, and the region south of the equator where an Intertropical Convergence Zone (ITCZ) sometimes forms. This mission was funded in part by NOAA/OMAO and NOAA/National Ocean Partnership Program (NOPP) as a demonstration project to test saildrone as a research and operational platform for the Tropical Pacific Observing System (TPOS). The PIs were Dr. Meghan Cronin (NOAA/PMEL), Dr. Dongxiao Zhang, and Dr. Samantha Wills (UW Cooperative Institute for Climate, Ocean, and Ecosystem Studies (UW/CICOES), Dr. Adrienne Sutton, Mr. Christian Meinig, and Eugene Burger (all NOAA/PMEL), Dr. Yolande Serra (UW/CICOES), Dr. Avichal Mehra (NOAA/NCEP/EMC), Karen Grissom (NOAA/National Data Buoy Center (NDBC)), and Dr. Eric Lindstrom (Saildrone, Inc). Dr. Meghan Cronin was the lead PI for the project. Drs. Samantha Wills and Dongxiao Zhang acted as Mission Managers during this mission. Mr. Nathan Anderson (UW/CICOES) contributed to the metadata creation. The PMEL TPOS 2021 Mission (aka Mission 4) had two Saildrones: SD1065 and SD1066. Both were standard Gen 6 Explorer drones, with an Acoustic Doppler Current Profiler (ADCP) at 1.86m (not included in this file) and the core MetOcean package. The core CTD was an SBE 37-SMP at 1.54m, with an auxiliary SBE prawler at 0.62m and 3x SBE56 T sensors at 0.33m, 0.5m, and 1.03m. Both SD1065 and SD1066 had an ASVCO2 carbon flux and pH system, an SPN1 shielded shortwave radiometer, and an Eppley longwave radiometer. Carbon system data (including its prawler Conductivity, Temperature, Depth (CTD) data) are served through a separate file. The vehicles for the 2021 mission were deployed out of San Francisco Bay, CA on 23 July 2021, transiting to the eastern tropical Pacific, where they spent 160 days collecting data. The drones encountered rough seas associated with Tropical Depression Marty, forcing them into \"storm mode\" for several days before entering the hurricane genesis study region. The drones then proceeded south along the 110W Tropical Atmosphere/Ocean (TAO) mooring line, completing two intercomparisons at the 8N, 110W and 5N, 110W TAO buoys. The drones also sampled the strong meridional Sea Surface Temperature (SST) front separating the warm waters of the northern hemisphere ITCZ from the cold waters of the equatorial Cold Tongue. The drones became separated en route to the equatorial study region due to strong easterly ocean currents, with SD1065 eventually crossing the Equator to survey the southern hemisphere \"double\" ITCZ regime. The mission ended in the field on 17 February, 2022, with SD1065 positioned near 8S, 117W and SD1066 positioned near 1N, 130W.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\n... (81 more variables)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/sd1065_tpos_2021_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/sd1065_tpos_2021_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/sd1065_tpos_2021/index.htmlTable | saildrone.com, pmel.noaa.gov | https://erddap.aoml.noaa.gov/hdb/erddap/rss/sd1065_tpos_2021.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=sd1065_tpos_2021&showErrors=false&email= | NOAA PMEL | sd1065_tpos_2021 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1066_2019.subset | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1066_2019 | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1066_2019.graph | https://erddap.aoml.noaa.gov/hdb/erddap/files/sd1066_2019/ | Saildrone 1066 NOAA PMEL TPOS 2019 NRT (Pacific) | NOAA PMEL TPOS 2019 NRT Saildrone 1066. This file contains near-real time data from the Saildrone core MetOcean sensors for the Pacific Marine Environmental Laboratory (PMEL) TPOS 2019 Mission ('Mission 3') to the central equatorial Pacific (0, 140W). This was the third of three missions funded by NOAA/OAR/CPO/OOMD and NOAA/OMAO as a pilot study for the Tropical Pacific Observing System (TPOS)-2020 project. The PIs were Dr. Meghan Cronin (NOAA PMEL), Dr. Dongxiao Zhang (UW Joint Institue for the Study of Atmoshere and Ocean (JISAO)), Dr. Adrienne Sutton (NOAA PMEL), and Mr. Christian Meinig (NOAA PMEL). Dr. Samantha Wills (UW JISAO) was a postdoctoral fellow with the project, acting as a PI and Mission Manager during this mission. Mr. Nathan Anderson contributed to the metadata creation. PMEL TPOS 2019 Mission (aka Mission 3) had four Saildrones: SD1066, SD1067, SD1068 and SD1069. All were standard Gen 5 drones (but with copper paint), with standard wings, not the large wings used in Mission 2. All had an Acoustic Doppler Current Profiler (ADCP) (not included in this file) and the core MetOcean package. The core CTDs were an RBR in the flowthrough tunnel in the keel and a pumped SBE37 at the outflow of the flowthrough tunnel. In addition, SD1066 and SD1067 had ASVCO2 carbon flux and pH system, a SPN1 shielded shortwave radiometer, and an Eppley longwave radiometer. Carbon system data (including its prawler Conductivity, Temperature, Depth (CTD) data) are served through a separate file. The vehicles were deployed out of Honolulu, HI on 9 June 2019. After performing ADCP bottom track testing on Penguin Bank, the drones proceeded to WHOTS for an intercomparison. On 17 June 2019, SD 1067 returned to shore for servicing. Following its ADCP bottom tracking tested again, on 20 June 2019 all 4 drones began their transit to the Tropical Atmosphere/Ocean (TAO) mooring at 9N, 140W, and then south towards the equator. In addition to intercomparisons against the 0N, 140W TAO buoy, several experiments were performed to survey scales of variability in the equatorial region and the structure of the cold tongue front. An experiment in the InterTropical Convergence Zone (ITCZ) was then performed before returning to Hawaii for a final intercomparison against the WHOTS mooring, a newly deployed PMEL test TELOS surface mooring and test PRAWLER mooring which carried a test Z-Cell ADCP on its bridal. The mission ended on December 20, 2019. All four Saildrones were recovered in Honolulu in early January 2020.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\n... (124 more variables)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/sd1066_2019_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/sd1066_2019_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/sd1066_2019/index.htmlTable | saildrone.com, pmel.noaa.gov | https://erddap.aoml.noaa.gov/hdb/erddap/rss/sd1066_2019.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=sd1066_2019&showErrors=false&email= | NOAA PMEL | sd1066_2019 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1066_tpos_2021.subset | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1066_tpos_2021 | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1066_tpos_2021.graph | https://erddap.aoml.noaa.gov/hdb/erddap/files/sd1066_tpos_2021/ | Saildrone 1066 NOAA PMEL TPOS 2021 (Pacific) | This file contains data from the Saildrone Inc. Uncrewed Surface Vehicle (USV), aka \"saildrone\", core MetOcean sensors for the NOAA Pacific Marine Environmental Laboratory (PMEL) TPOS 2021 Mission (Mission 4) to the eastern tropical Pacific hurricane genesis region near 10N - 15N, 110W, the near-equatorial Cold Tongue region between 110W - 125W, and the region south of the equator where an Intertropical Convergence Zone (ITCZ) sometimes forms. This mission was funded in part by NOAA/OMAO and NOAA/National Ocean Partnership Program (NOPP) as a demonstration project to test saildrone as a research and operational platform for the Tropical Pacific Observing System (TPOS). The PIs were Dr. Meghan Cronin (NOAA/PMEL), Dr. Dongxiao Zhang, and Dr. Samantha Wills (UW Cooperative Institute for Climate, Ocean, and Ecosystem Studies (UW/CICOES), Dr. Adrienne Sutton, Mr. Christian Meinig, and Eugene Burger (all NOAA/PMEL), Dr. Yolande Serra (UW/CICOES), Dr. Avichal Mehra (NOAA/NCEP/EMC), Karen Grissom (NOAA/National Data Buoy Center (NDBC)), and Dr. Eric Lindstrom (Saildrone, Inc). Dr. Meghan Cronin was the lead PI for the project. Drs. Samantha Wills and Dongxiao Zhang acted as Mission Managers during this mission. Mr. Nathan Anderson (UW/CICOES) contributed to the metadata creation. The PMEL TPOS 2021 Mission (aka Mission 4) had two Saildrones: SD1065 and SD1066. Both were standard Gen 6 Explorer drones, with an Acoustic Doppler Current Profiler (ADCP) at 1.86m (not included in this file) and the core MetOcean package. The core CTD was an SBE 37-SMP at 1.54m, with an auxiliary SBE prawler at 0.62m and 3x SBE56 T sensors at 0.33m, 0.5m, and 1.03m. Both SD1065 and SD1066 had an ASVCO2 carbon flux and pH system, an SPN1 shielded shortwave radiometer, and an Eppley longwave radiometer. Carbon system data (including its prawler Conductivity, Temperature, Depth (CTD) data) are served through a separate file. The vehicles for the 2021 mission were deployed out of San Francisco Bay, CA on 23 July 2021, transiting to the eastern tropical Pacific, where they spent 160 days collecting data. The drones encountered rough seas associated with Tropical Depression Marty, forcing them into \"storm mode\" for several days before entering the hurricane genesis study region. The drones then proceeded south along the 110W Tropical Atmosphere/Ocean (TAO) mooring line, completing two intercomparisons at the 8N, 110W and 5N, 110W TAO buoys. The drones also sampled the strong meridional Sea Surface Temperature (SST) front separating the warm waters of the northern hemisphere ITCZ from the cold waters of the equatorial Cold Tongue. The drones became separated en route to the equatorial study region due to strong easterly ocean currents, with SD1065 eventually crossing the Equator to survey the southern hemisphere \"double\" ITCZ regime. The mission ended in the field on 17 February, 2022, with SD1065 positioned near 8S, 117W and SD1066 positioned near 1N, 130W.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\n... (75 more variables)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/sd1066_tpos_2021_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/sd1066_tpos_2021_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/sd1066_tpos_2021/index.htmlTable | saildrone.com, pmel.noaa.gov | https://erddap.aoml.noaa.gov/hdb/erddap/rss/sd1066_tpos_2021.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=sd1066_tpos_2021&showErrors=false&email= | NOAA PMEL | sd1066_tpos_2021 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1067_2019.subset | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1067_2019 | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1067_2019.graph | https://erddap.aoml.noaa.gov/hdb/erddap/files/sd1067_2019/ | Saildrone 1067 NOAA PMEL TPOS 2019 NRT (Pacific) | NOAA PMEL TPOS 2019 NRT Saildrone 1067. This file contains near-real time data from the Saildrone core MetOcean sensors for the Pacific Marine Environmental Laboratory (PMEL) TPOS 2019 Mission ('Mission 3') to the central equatorial Pacific (0, 140W). This was the third of three missions funded by NOAA/OAR/CPO/OOMD and NOAA/OMAO as a pilot study for the Tropical Pacific Observing System (TPOS)-2020 project. The PIs were Dr. Meghan Cronin (NOAA PMEL), Dr. Dongxiao Zhang (UW Joint Institue for the Study of Atmoshere and Ocean (JISAO)), Dr. Adrienne Sutton (NOAA PMEL), and Mr. Christian Meinig (NOAA PMEL). Dr. Samantha Wills (UW JISAO) was a postdoctoral fellow with the project, acting as a PI and Mission Manager during this mission. Mr. Nathan Anderson contributed to the metadata creation. PMEL TPOS 2019 Mission (aka Mission 3) had four Saildrones: SD1066, SD1067, SD1068 and SD1069. All were standard Gen 5 drones (but with copper paint), with standard wings, not the large wings used in Mission 2. All had an Acoustic Doppler Current Profiler (ADCP) (not included in this file) and the core MetOcean package. The core CTDs were an RBR in the flowthrough tunnel in the keel and a pumped SBE37 at the outflow of the flowthrough tunnel. In addition, SD1066 and SD1067 had ASVCO2 carbon flux and pH system, a SPN1 shielded shortwave radiometer, and an Eppley longwave radiometer. Carbon system data (including its prawler Conductivity, Temperature, Depth (CTD) data) are served through a separate file. The vehicles were deployed out of Honolulu, HI on 9 June 2019. After performing ADCP bottom track testing on Penguin Bank, the drones proceeded to WHOTS for an intercomparison. On 17 June 2019, SD 1067 returned to shore for servicing. Following its ADCP bottom tracking tested again, on 20 June 2019 all 4 drones began their transit to the Tropical Atmosphere/Ocean (TAO) mooring at 9N, 140W, and then south towards the equator. In addition to intercomparisons against the 0N, 140W TAO buoy, several experiments were performed to survey scales of variability in the equatorial region and the structure of the cold tongue front. An experiment in the InterTropical Convergence Zone (ITCZ) was then performed before returning to Hawaii for a final intercomparison against the WHOTS mooring, a newly deployed PMEL test TELOS surface mooring and test PRAWLER mooring which carried a test Z-Cell ADCP on its bridal. The mission ended on December 20, 2019. All four Saildrones were recovered in Honolulu in early January 2020.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\n... (124 more variables)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/sd1067_2019_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/sd1067_2019_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/sd1067_2019/index.htmlTable | saildrone.com, pmel.noaa.gov | https://erddap.aoml.noaa.gov/hdb/erddap/rss/sd1067_2019.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=sd1067_2019&showErrors=false&email= | NOAA PMEL | sd1067_2019 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1068_2019.subset | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1068_2019 | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1068_2019.graph | https://erddap.aoml.noaa.gov/hdb/erddap/files/sd1068_2019/ | Saildrone 1068 NOAA PMEL TPOS 2019 NRT (Pacific) | NOAA PMEL TPOS 2019 NRT Saildrone 1068. This file contains near-real time data from the Saildrone core MetOcean sensors for the Pacific Marine Environmental Laboratory (PMEL) TPOS 2019 Mission ('Mission 3') to the central equatorial Pacific (0, 140W). This was the third of three missions funded by NOAA/OAR/CPO/OOMD and NOAA/OMAO as a pilot study for the Tropical Pacific Observing System (TPOS)-2020 project. The PIs were Dr. Meghan Cronin (NOAA PMEL), Dr. Dongxiao Zhang (UW Joint Institue for the Study of Atmoshere and Ocean (JISAO)), Dr. Adrienne Sutton (NOAA PMEL), and Mr. Christian Meinig (NOAA PMEL). Dr. Samantha Wills (UW JISAO) was a postdoctoral fellow with the project, acting as a PI and Mission Manager during this mission. Mr. Nathan Anderson contributed to the metadata creation. PMEL TPOS 2019 Mission (aka Mission 3) had four Saildrones: SD1066, SD1067, SD1068 and SD1069. All were standard Gen 5 drones (but with copper paint), with standard wings, not the large wings used in Mission 2. All had an Acoustic Doppler Current Profiler (ADCP) (not included in this file) and the core MetOcean package. The core CTDs were an RBR in the flowthrough tunnel in the keel and a pumped SBE37 at the outflow of the flowthrough tunnel. In addition, SD1066 and SD1067 had ASVCO2 carbon flux and pH system, a SPN1 shielded shortwave radiometer, and an Eppley longwave radiometer. Carbon system data (including its prawler Conductivity, Temperature, Depth (CTD) data) are served through a separate file. The vehicles were deployed out of Honolulu, HI on 9 June 2019. After performing ADCP bottom track testing on Penguin Bank, the drones proceeded to WHOTS for an intercomparison. On 17 June 2019, SD 1067 returned to shore for servicing. Following its ADCP bottom tracking tested again, on 20 June 2019 all 4 drones began their transit to the Tropical Atmosphere/Ocean (TAO) mooring at 9N, 140W, and then south towards the equator. In addition to intercomparisons against the 0N, 140W TAO buoy, several experiments were performed to survey scales of variability in the equatorial region and the structure of the cold tongue front. An experiment in the InterTropical Convergence Zone (ITCZ) was then performed before returning to Hawaii for a final intercomparison against the WHOTS mooring, a newly deployed PMEL test TELOS surface mooring and test PRAWLER mooring which carried a test Z-Cell ADCP on its bridal. The mission ended on December 20, 2019. All four Saildrones were recovered in Honolulu in early January 2020.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\n... (116 more variables)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/sd1068_2019_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/sd1068_2019_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/sd1068_2019/index.htmlTable | saildrone.com, pmel.noaa.gov | https://erddap.aoml.noaa.gov/hdb/erddap/rss/sd1068_2019.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=sd1068_2019&showErrors=false&email= | NOAA PMEL | sd1068_2019 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1069_2019.subset | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1069_2019 | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1069_2019.graph | https://erddap.aoml.noaa.gov/hdb/erddap/files/sd1069_2019/ | Saildrone 1069 NOAA PMEL TPOS 2019 NRT (Pacific) | NOAA PMEL TPOS 2019 NRT Saildrone 1069. This file contains near-real time data from the Saildrone core MetOcean sensors for the Pacific Marine Environmental Laboratory (PMEL) TPOS 2019 Mission ('Mission 3') to the central equatorial Pacific (0, 140W). This was the third of three missions funded by NOAA/OAR/CPO/OOMD and NOAA/OMAO as a pilot study for the Tropical Pacific Observing System (TPOS)-2020 project. The PIs were Dr. Meghan Cronin (NOAA PMEL), Dr. Dongxiao Zhang (UW Joint Institue for the Study of Atmoshere and Ocean (JISAO)), Dr. Adrienne Sutton (NOAA PMEL), and Mr. Christian Meinig (NOAA PMEL). Dr. Samantha Wills (UW JISAO) was a postdoctoral fellow with the project, acting as a PI and Mission Manager during this mission. Mr. Nathan Anderson contributed to the metadata creation. PMEL TPOS 2019 Mission (aka Mission 3) had four Saildrones: SD1066, SD1067, SD1068 and SD1069. All were standard Gen 5 drones (but with copper paint), with standard wings, not the large wings used in Mission 2. All had an Acoustic Doppler Current Profiler (ADCP) (not included in this file) and the core MetOcean package. The core CTDs were an RBR in the flowthrough tunnel in the keel and a pumped SBE37 at the outflow of the flowthrough tunnel. In addition, SD1066 and SD1067 had ASVCO2 carbon flux and pH system, a SPN1 shielded shortwave radiometer, and an Eppley longwave radiometer. Carbon system data (including its prawler Conductivity, Temperature, Depth (CTD) data) are served through a separate file. The vehicles were deployed out of Honolulu, HI on 9 June 2019. After performing ADCP bottom track testing on Penguin Bank, the drones proceeded to WHOTS for an intercomparison. On 17 June 2019, SD 1067 returned to shore for servicing. Following its ADCP bottom tracking tested again, on 20 June 2019 all 4 drones began their transit to the Tropical Atmosphere/Ocean (TAO) mooring at 9N, 140W, and then south towards the equator. In addition to intercomparisons against the 0N, 140W TAO buoy, several experiments were performed to survey scales of variability in the equatorial region and the structure of the cold tongue front. An experiment in the InterTropical Convergence Zone (ITCZ) was then performed before returning to Hawaii for a final intercomparison against the WHOTS mooring, a newly deployed PMEL test TELOS surface mooring and test PRAWLER mooring which carried a test Z-Cell ADCP on its bridal. The mission ended on December 20, 2019. All four Saildrones were recovered in Honolulu in early January 2020.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\n... (116 more variables)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/sd1069_2019_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/sd1069_2019_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/sd1069_2019/index.htmlTable | saildrone.com, pmel.noaa.gov | https://erddap.aoml.noaa.gov/hdb/erddap/rss/sd1069_2019.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=sd1069_2019&showErrors=false&email= | NOAA PMEL | sd1069_2019 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1079_tpos_2023.subset | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1079_tpos_2023 | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1079_tpos_2023.graph | https://erddap.aoml.noaa.gov/hdb/erddap/files/sd1079_tpos_2023/ | Saildrone 1079 NOAA PMEL TPOS 2023 (Pacific) | NOAA PMEL TPOS 2023 Saildrone 1079. This file contains data from the Saildrone Inc. Uncrewed Surface Vehicle (USV) (i.e., \"saildrone\") core MetOcean sensors for the NOAA Pacific Marine Environmental Laboratory (PMEL) TPOS 2023 Mission (Mission 6) to the central tropical Pacific along the 155°W meridian, west along the equator, and returning north roughly along the 170°W meridian. This mission was funded by NOAA OMAO UxSOC and the UMS 2022 project to implement the Research to Operations - Component Service Transition Plan Volume 1-C \"Uncrewed Surface Vehicles (USV) integrated within the Tropical Pacific Observing System (TPOS)\". This TPOS-2023 mission, focused on observing air-sea interaction processes and CO2 fluxes associated with the developing 2023 El Nino, an equatorial upwelling experiment near 0°N 153.5°W, a comparison with R/V Antea near 0°N 166°W, and several National Data Buoy Center (NDBC) buoy flybys. A pre-mission comparison against the WHOTS mooring was also conducted from May 30 - June 2, 2023. The PIs were Dr. Meghan Cronin (NOAA PMEL), Dr. Dongxiao Zhang (UW Cooperative Institute for Climate, Ocean, and Ecosystem Studies (UW CICOES)), Dr. Adrienne Sutton (NOAA PMEL), Dr. Samantha Wills (UW/CICOES), Dr. Réka Domokos (NOAA National Marine Fisheries Service (NMFS) Pacific Islands Fisheries Science Center (PIFSC) Ecosystem Services Division (ESD)), Karen Grissom (NOAA NDBC), Eugene Burger (NOAA PMEL), Yolande Serra (UW CICOES), Dr. Arun Kumar (NOAA National Centers for Environmental Prediction (NCEP)), Dr. Jack Reeves Eyre (NOAA NCEP and ERT), and Jieshun Zhu (NOAA NCEP). Mr. Nathan Anderson (UW CICOES) contributed to the metadata creation. The PMEL TPOS 2023 Mission (aka Mission 6) had three Saildrones: SD1030, SD1033, and SD1079. All were standard Gen 6 drones with the core MetOcean package and an ASVCO2 Gen2 carbon flux system. SD1030 and SD1033 were equipped with Acoustic Doppler Current Profilers (ADCPs) at 1.86m (not included in this file) and SD1079 with an EK80 echo sounder. The collaboration with NMFS facilitated the addition of the echo sounder to explore the value of combining physical and fish biomass surveys of the Pacific Islands Regions, with the collaboration's goal of connecting the life cycle with the energy, water, and carbon cycles to improve ecosystem forecasts within Earth system models. The core Conductivity, Temperature, Depth (CTD) sensor was an SBE 37-SMP at 1.7m, and a temperature logger RBR Coda^3 T at 0.5m, with 3x PMEL-provided self-logging SBE56 Temperature sensors at 0.355m, 0.775m, and 1.155m. All drones had a PMEL-provided SPN1 shielded shortwave radiometer and a Kipp and Zonen longwave radiometer. Carbon system data (including the CTD data) are served through a separate file. EK80 data will also be provided as a separate file. The vehicles for the 2023 mission were deployed out of Honolulu, HI in June 2023, arriving on station (near 18°N 155°W) to initiate the mission on 22 June 2023. The 120-day mission was extended to 05 Nov 2023, because SD1030 went off-mission early (12 Sept 2023) due to navigational issues.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\n... (74 more variables)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/sd1079_tpos_2023_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/sd1079_tpos_2023_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/sd1079_tpos_2023/index.htmlTable | saildrone.com, pmel.noaa.gov | https://erddap.aoml.noaa.gov/hdb/erddap/rss/sd1079_tpos_2023.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=sd1079_tpos_2023&showErrors=false&email= | NOAA PMEL | sd1079_tpos_2023 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1090_tpos_2024.subset | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1090_tpos_2024 | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1090_tpos_2024.graph | https://erddap.aoml.noaa.gov/hdb/erddap/files/sd1090_tpos_2024/ | Saildrone 1090 NOAA PMEL TPOS 2024 (Pacific) | NOAA PMEL TPOS 2024 Saildrone 1090. This file contains data from the Saildrone Inc. Uncrewed Surface Vehicle (USV) (i.e., \"saildrone\") core MetOcean sensors for the NOAA Pacific Marine Environmental Laboratory (PMEL) Tropical Pacific Observing System (TPOS) 2024 Mission (Mission 7) to the central tropical Pacific. The mission started on Oct 30, 2024 with a transect along the 125°W meridian from 10°N to 6°N, where the USVs then caught favorable currents to intercept the National Science Foundation (NSF)-funded Mixing belOw Tropical Instability waVEs (MOTIVE) cruise near 1°N 138°W. The MOTIVE cruise featured a drifting array of University of Washington (UW) Applied Physics Laboratory (APL) Wirewalkers and a UW profiling glider (glider PI: Katie Kohlman (UW School of Oceanography)), against which the Saildrones conducted a coordinated frontal study (Nov 22 - 26, 2024). For more information on the MOTIVE cruise, see https://www.polarsteps.com/AnnaAndTheWater/14669345-motive-cruise-i. An upwelling experiment and Tropical Atmosphere/Ocean (TAO) intercomparison at 0°N 140°W was also performed (Dec 2 - 5) before the drones were swept westward by stronger-than-usual equatorial currents associated with the La Niña. Additional scientific objectives accomplished included observations of convective cold pool events, sharp fronts of submeso- and meso-scale processes within Tropical Instability Waves, and a return to the 140°W meridian leveraging North Equatorial Countercurrent (NECC) under the Inter-Tropical Convergence Zone (ITCZ). This mission was supported through the NOAA OMAO Uncrewed Systems Operation Center (UxSOC) funded project titled \"Uncrewed Surface Vehicles (USV) integrated within the Tropical Pacific Observing System\", which follows the implementation strategy laid out by the Uncrewed Marine Systems (UMS) 2022 \"Research to Operations - Component Service Transition Plan Volume 1-C\". The PIs and mission managers were Dr. Meghan Cronin (NOAA PMEL), Dr. Dongxiao Zhang (UW Cooperative Institute for Climate, Ocean, and Ecosystem Studies (UW CICOES)), Dr. Yolande Serra (UW CICOES), and Dr. Elizabeth McGeorge (UW CICOES). Other PIs for this mission include: Dr. Adrienne Sutton (NOAA PMEL) for ASVCO2 measurements, Eugene Burger (NOAA PMEL) for data stream issues, Dr. Réka Domokos (NOAA National Marine Fisheries Service (NMFS) Pacific Islands Fisheries Science Center (PIFSC)) for fisheries applications (note: there was no EK80 deployed during this mission), Ian Sears and Stephanie Ray (both at NOAA National Data Buoy Center (NDBC)) for coordination with NDBC TPOS components, and Drs. Arun Kumar and Jieshun Zhu (both at NOAA National Centers for Environmental Prediction (NCEP)) for operational weather, climate and ocean applications. In addition to being part of the mission management team, Mr. Nathan Anderson worked with Ms. Ellen Koukel (both of UW CICOES) on the metadata creation and data archiving. The PMEL TPOS 2024 Mission (aka Mission 7) had two Saildrones: SD1033 and SD1090. Both were standard Gen 6 drones with the core MetOcean package and an ASVCO2 Gen2 carbon flux system. Both were equipped with Acoustic Doppler Current Profilers (ADCPs) at 1.86m (not included in this file). The core Conductivity, Temperature, Depth (CTD) sensor was an SBE 37-SMP at 1.7m, and a temperature logger RBR Coda^3 T at 0.5m, with 3x PMEL-provided self-logging SBE56 Temperature sensors nominally located at 0.33m, 0.75m, and 1.03m. All drones had a PMEL-provided SPN1 shielded shortwave radiometer and a Kipp and Zonen longwave radiometer (on a standalone data logger and processed separately). Carbon system data (including the CTD data) are also served through a separate file. The vehicles for the 2024 mission were deployed out of Alameda, CA, arriving on station (10°N 125°W) to initiate the mission on 30 Oct 2024. The 98-day mission was terminated 4 Feb 2025 after anemometers failed on both SD1090 (Jan 15) and SD1033 (Jan 18).\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\n... (80 more variables)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/sd1090_tpos_2024_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/sd1090_tpos_2024_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/sd1090_tpos_2024/index.htmlTable | https://www.pmel.noaa.gov/ocs/saildrone;
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/sd1090_tpos_2024.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=sd1090_tpos_2024&showErrors=false&email= | NOAA/PMEL | sd1090_tpos_2024 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/saildrones_2021.subset | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/saildrones_2021 | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/saildrones_2021.graph | https://erddap.aoml.noaa.gov/hdb/erddap/files/saildrones_2021/ | Saildrone Hurricane Monitoring 2021 NRT data | Saildrone Hurricane Monitoring 2021 Near Real Time (NRT) data, drone 1060. Five Gen6 Saildrone Explorer USVs were launched in the Atlantic Ocean for the duration of the 2021 Atlantic Hurricane Season. These USVs were equipped with a 'hurricane wing' designed specifically to withstand hurricane-strength winds and waves. The five objectives of this mission include (1) advancing the CONOPS of steering and operating USVs towards strong low-pressure systems, (2) coordinating with underwater gliders, (3) developing CONOPS for coordinating with UAVs, (4) developing CONOPS for using multiple USVs to observe the air-sea interface ahead, inside and behind hurricanes, and (5) provision of real-time data for ingestion to Global Telecommunications System (GTS) and reception by operational data assimilation and forecast systems.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\nWATER_CURRENT_SPEED_MEAN (Water Current Speed, m s-1)\nWATER_CURRENT_DIRECTION_MEAN (Water Current Direction, degree)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/saildrones_2021_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/saildrones_2021_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/saildrones_2021/index.htmlTable | https://saildrone.com/
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/saildrones_2021.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=saildrones_2021&showErrors=false&email= | Saildrone | saildrones_2021 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/saildrones_2022.subset | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/saildrones_2022 | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/saildrones_2022.graph | https://erddap.aoml.noaa.gov/hdb/erddap/files/saildrones_2022/ | Saildrone Hurricane Monitoring 2022 NRT data | Saildrone Atlantic 2022 Hurricane Monitoring, drone 1084. Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification. This mission will deploy 7 USVs during the 2022 hurricane season to observe the air-sea interaction before, during and after hurricanes. When possible, the deployed USVs will coordinate with other autonomous devices to make coherent observations of the air-sea interface and profiles in the upper ocean and atmospheric marine boundary layer.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/saildrones_2022_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/saildrones_2022_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/saildrones_2022/index.htmlTable | https://saildrone.com/
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/saildrones_2022.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=saildrones_2022&showErrors=false&email= | Saildrone | saildrones_2022 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/saildrones_2023.subset | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/saildrones_2023 | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/saildrones_2023.graph | https://erddap.aoml.noaa.gov/hdb/erddap/files/saildrones_2023/ | Saildrone Hurricane Monitoring 2023 NRT data | Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/saildrones_2023_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/saildrones_2023_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/saildrones_2023/index.htmlTable | https://saildrone.com/
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/saildrones_2023.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=saildrones_2023&showErrors=false&email= | Saildrone | saildrones_2023 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/saildrones_2024.subset | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/saildrones_2024 | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/saildrones_2024.graph | https://erddap.aoml.noaa.gov/hdb/erddap/files/saildrones_2024/ | Saildrone Hurricane Monitoring 2024 NRT data | (1) Real-time steering of USVs toward tropical cyclones and other strong low-pressure systems, based on forecasted tracks and the knowledge and experience gained from the 2021-2023 hurricane missions (2) Continuing to evolve and refine the practice of coordinating USVs and underwater gliders, small uncrewed aerial systems, and other air-deployed or pre-existing instruments (3) Observations of air-sea interactions ahead of, inside, and after hurricanes (4) Provision of real-time data for ingestion to Global Telecommunications System (GTS) and reception by operational data assimilation and forecast systems (5) Near-real time validations of forecast model initialization and output\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/saildrones_2024_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/saildrones_2024_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/saildrones_2024/index.htmlTable | https://saildrone.com/
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/saildrones_2024.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=saildrones_2024&showErrors=false&email= | NOAA Atlantic Oceanographic and Meteorological Laboratory, NOAA PMEL | saildrones_2024 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/SEAWIFS_1998 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/SEAWIFS_1998.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/SEAWIFS_1998/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/SEAWIFS_1998/ | SeaWiFS L3 Standard Mapped Image 1998 | Sea-Wide Field-of-View Sensor (SeaWiFS) Level-3 Standard Mapped Image\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nchlor_a (Chlorophyll Concentration, OCI Algorithm, mg m^-3)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/SEAWIFS_1998_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/SEAWIFS_1998_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/SEAWIFS_1998/index.htmlTable | https://oceandata.sci.gsfc.nasa.gov
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/SEAWIFS_1998.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=SEAWIFS_1998&showErrors=false&email= | NASA/GSFC OBPG | SEAWIFS_1998 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/SEAWIFS_1999 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/SEAWIFS_1999.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/SEAWIFS_1999/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/SEAWIFS_1999/ | SeaWiFS L3 Standard Mapped Image 1999 | Sea-Wide Field-of-View Sensor (SeaWiFS) Level-3 Standard Mapped Image\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nchlor_a (Chlorophyll Concentration, OCI Algorithm, mg m^-3)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/SEAWIFS_1999_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/SEAWIFS_1999_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/SEAWIFS_1999/index.htmlTable | https://oceandata.sci.gsfc.nasa.gov
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/SEAWIFS_1999.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=SEAWIFS_1999&showErrors=false&email= | NASA/GSFC OBPG | SEAWIFS_1999 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/SEAWIFS_2000 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/SEAWIFS_2000.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/SEAWIFS_2000/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/SEAWIFS_2000/ | SeaWiFS L3 Standard Mapped Image 2000 | Sea-Wide Field-of-View Sensor (SeaWiFS) Level-3 Standard Mapped Image\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nchlor_a (Chlorophyll Concentration, OCI Algorithm, mg m^-3)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/SEAWIFS_2000_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/SEAWIFS_2000_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/SEAWIFS_2000/index.htmlTable | https://oceandata.sci.gsfc.nasa.gov
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/SEAWIFS_2000.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=SEAWIFS_2000&showErrors=false&email= | NASA/GSFC OBPG | SEAWIFS_2000 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/SEAWIFS_2001 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/SEAWIFS_2001.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/SEAWIFS_2001/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/SEAWIFS_2001/ | SeaWiFS L3 Standard Mapped Image 2001 | Sea-Wide Field-of-View Sensor (SeaWiFS) Level-3 Standard Mapped Image\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nchlor_a (Chlorophyll Concentration, OCI Algorithm, mg m^-3)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/SEAWIFS_2001_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/SEAWIFS_2001_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/SEAWIFS_2001/index.htmlTable | https://oceandata.sci.gsfc.nasa.gov
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/SEAWIFS_2001.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=SEAWIFS_2001&showErrors=false&email= | NASA/GSFC OBPG | SEAWIFS_2001 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/SEAWIFS_2002 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/SEAWIFS_2002.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/SEAWIFS_2002/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/SEAWIFS_2002/ | SeaWiFS L3 Standard Mapped Image 2002 | Sea-Wide Field-of-View Sensor (SeaWiFS) Level-3 Standard Mapped Image\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nchlor_a (Chlorophyll Concentration, OCI Algorithm, mg m^-3)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/SEAWIFS_2002_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/SEAWIFS_2002_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/SEAWIFS_2002/index.htmlTable | https://oceandata.sci.gsfc.nasa.gov
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/SEAWIFS_2002.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=SEAWIFS_2002&showErrors=false&email= | NASA/GSFC OBPG | SEAWIFS_2002 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/SEAWIFS_2003 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/SEAWIFS_2003.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/SEAWIFS_2003/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/SEAWIFS_2003/ | SeaWiFS L3 Standard Mapped Image 2003 | Sea-Wide Field-of-View Sensor (SeaWiFS) Level-3 Standard Mapped Image\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nchlor_a (Chlorophyll Concentration, OCI Algorithm, mg m^-3)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/SEAWIFS_2003_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/SEAWIFS_2003_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/SEAWIFS_2003/index.htmlTable | https://oceandata.sci.gsfc.nasa.gov
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/SEAWIFS_2003.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=SEAWIFS_2003&showErrors=false&email= | NASA/GSFC OBPG | SEAWIFS_2003 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/SEAWIFS_2004 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/SEAWIFS_2004.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/SEAWIFS_2004/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/SEAWIFS_2004/ | SeaWiFS L3 Standard Mapped Image 2004 | Sea-Wide Field-of-View Sensor (SeaWiFS) Level-3 Standard Mapped Image\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nchlor_a (Chlorophyll Concentration, OCI Algorithm, mg m^-3)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/SEAWIFS_2004_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/SEAWIFS_2004_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/SEAWIFS_2004/index.htmlTable | https://oceandata.sci.gsfc.nasa.gov
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/SEAWIFS_2004.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=SEAWIFS_2004&showErrors=false&email= | NASA/GSFC OBPG | SEAWIFS_2004 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/SEAWIFS_2005 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/SEAWIFS_2005.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/SEAWIFS_2005/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/SEAWIFS_2005/ | SeaWiFS L3 Standard Mapped Image 2005 | Sea-Wide Field-of-View Sensor (SeaWiFS) Level-3 Standard Mapped Image\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nchlor_a (Chlorophyll Concentration, OCI Algorithm, mg m^-3)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/SEAWIFS_2005_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/SEAWIFS_2005_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/SEAWIFS_2005/index.htmlTable | https://oceandata.sci.gsfc.nasa.gov
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/SEAWIFS_2005.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=SEAWIFS_2005&showErrors=false&email= | NASA/GSFC OBPG | SEAWIFS_2005 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/SEAWIFS_2006 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/SEAWIFS_2006.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/SEAWIFS_2006/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/SEAWIFS_2006/ | SeaWiFS L3 Standard Mapped Image 2006 | Sea-Wide Field-of-View Sensor (SeaWiFS) Level-3 Standard Mapped Image\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nchlor_a (Chlorophyll Concentration, OCI Algorithm, mg m^-3)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/SEAWIFS_2006_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/SEAWIFS_2006_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/SEAWIFS_2006/index.htmlTable | https://oceandata.sci.gsfc.nasa.gov
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/SEAWIFS_2006.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=SEAWIFS_2006&showErrors=false&email= | NASA/GSFC OBPG | SEAWIFS_2006 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/SEAWIFS_2007 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/SEAWIFS_2007.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/SEAWIFS_2007/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/SEAWIFS_2007/ | SeaWiFS L3 Standard Mapped Image 2007 | Sea-Wide Field-of-View Sensor (SeaWiFS) Level-3 Standard Mapped Image\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nchlor_a (Chlorophyll Concentration, OCI Algorithm, mg m^-3)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/SEAWIFS_2007_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/SEAWIFS_2007_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/SEAWIFS_2007/index.htmlTable | https://oceandata.sci.gsfc.nasa.gov
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/SEAWIFS_2007.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=SEAWIFS_2007&showErrors=false&email= | NASA/GSFC OBPG | SEAWIFS_2007 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/SEAWIFS_2008 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/SEAWIFS_2008.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/SEAWIFS_2008/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/SEAWIFS_2008/ | SeaWiFS L3 Standard Mapped Image 2008 | Sea-Wide Field-of-View Sensor (SeaWiFS) Level-3 Standard Mapped Image\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nchlor_a (Chlorophyll Concentration, OCI Algorithm, mg m^-3)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/SEAWIFS_2008_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/SEAWIFS_2008_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/SEAWIFS_2008/index.htmlTable | https://oceandata.sci.gsfc.nasa.gov
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/SEAWIFS_2008.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=SEAWIFS_2008&showErrors=false&email= | NASA/GSFC OBPG | SEAWIFS_2008 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/SEAWIFS_2009 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/SEAWIFS_2009.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/SEAWIFS_2009/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/SEAWIFS_2009/ | SeaWiFS L3 Standard Mapped Image 2009 | Sea-Wide Field-of-View Sensor (SeaWiFS) Level-3 Standard Mapped Image\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nchlor_a (Chlorophyll Concentration, OCI Algorithm, mg m^-3)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/SEAWIFS_2009_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/SEAWIFS_2009_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/SEAWIFS_2009/index.htmlTable | https://oceandata.sci.gsfc.nasa.gov
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/SEAWIFS_2009.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=SEAWIFS_2009&showErrors=false&email= | NASA/GSFC OBPG | SEAWIFS_2009 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/SEAWIFS_2010 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/SEAWIFS_2010.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/SEAWIFS_2010/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/SEAWIFS_2010/ | SeaWiFS L3 Standard Mapped Image 2010 | Sea-Wide Field-of-View Sensor (SeaWiFS) Level-3 Standard Mapped Image\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nchlor_a (Chlorophyll Concentration, OCI Algorithm, mg m^-3)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/SEAWIFS_2010_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/SEAWIFS_2010_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/SEAWIFS_2010/index.htmlTable | https://oceandata.sci.gsfc.nasa.gov
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/SEAWIFS_2010.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=SEAWIFS_2010&showErrors=false&email= | NASA/GSFC OBPG | SEAWIFS_2010 |