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| tabledap
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| Title
| Summary
| FGDC
| ISO 19115
| Info
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| Institution
| Dataset ID
|
| https://cwcgom.aoml.noaa.gov/erddap/griddap/noaa_aoml_atlantic_oceanwatch_AFAI_1D
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| https://cwcgom.aoml.noaa.gov/erddap/griddap/noaa_aoml_atlantic_oceanwatch_AFAI_1D.graph
| https://cwcgom.aoml.noaa.gov/erddap/wms/noaa_aoml_atlantic_oceanwatch_AFAI_1D/request
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| 1-day USF AFAI Fields (USF AFAI 1D AOML) (USFAFAI)
| University of South Florida (USF) AFAI Fields. AFAI: Alternate Floating Algae Index (in reflectance units) to detect ocean surface features such as Sargassum, green macroalgae, and cyanobacteria. AFAI is estimated by Chuanmin Hu (USF). AFAI is sensitive to detect subtle ocean surface features, but it saturates under sun glint, clouds, or thick aerosols. Reference: Hu, C., L. Feng, R. F. Hardy, and E. J. Hochberg (2015). Spectral and spatial requirements of remote measurements of pelagic Sargassum macro algae. Remote Sens. Environ. 167:229-246. doi:10.1016/j.rse.2015.05.022.\nFor technical questions, please contact Joaquin Trinanes (joaquin.trinanes@noaa.gov). For scientific questions, contact Chuanmin Hu (huc@usf.edu). (USF AFAI 1D Atlantic Oceanographic & Meteorological Laboratory (AOML))\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nAFAI (AFAI (Alternative Floating Algae Index))\n
| https://cwcgom.aoml.noaa.gov/erddap/metadata/fgdc/xml/noaa_aoml_atlantic_oceanwatch_AFAI_1D_fgdc.xml
| https://cwcgom.aoml.noaa.gov/erddap/metadata/iso19115/xml/noaa_aoml_atlantic_oceanwatch_AFAI_1D_iso19115.xml
| https://cwcgom.aoml.noaa.gov/erddap/info/noaa_aoml_atlantic_oceanwatch_AFAI_1D/index.htmlTable
| https://cwcgom.aoml.noaa.gov/thredds/dodsC/AFAI/USFAFAI.nc.html
| http://cwcgom.aoml.noaa.gov:8080/erddap/rss/noaa_aoml_atlantic_oceanwatch_AFAI_1D.rss
| https://cwcgom.aoml.noaa.gov/erddap/subscriptions/add.html?datasetID=noaa_aoml_atlantic_oceanwatch_AFAI_1D&showErrors=false&email=
| USDOC/NOAA/OAR/AOML/PHOD
| noaa_aoml_atlantic_oceanwatch_AFAI_1D
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| https://cwcgom.aoml.noaa.gov/erddap/griddap/noaa_aoml_atlantic_oceanwatch_AFAI_3D
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| https://cwcgom.aoml.noaa.gov/erddap/griddap/noaa_aoml_atlantic_oceanwatch_AFAI_3D.graph
| https://cwcgom.aoml.noaa.gov/erddap/wms/noaa_aoml_atlantic_oceanwatch_AFAI_3D/request
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| 3-day cumulative USF AFAI Fields (USF AFAI 3D AOML) (USFAFAI3D)
| 3-day cumulative University of South Florida (USF) AFAI Fields. AFAI: Alternate Floating Algae Index (in reflectance units) to detect ocean surface features such as Sargassum, green macroalgae, and cyanobacteria. AFAI is estimated by Chuanmin Hu (USF). AFAI is sensitive to detect subtle ocean surface features, but it saturates under sun glint, clouds, or thick aerosols. Reference: Hu, C., L. Feng, R. F. Hardy, and E. J. Hochberg (2015). Spectral and spatial requirements of remote measurements of pelagic Sargassum macro algae. Remote Sens. Environ. 167:229-246. doi:10.1016/j.rse.2015.05.022.\nFor technical questions, please contact Joaquin Trinanes (joaquin.trinanes@noaa.gov). For scientific questions, contact Chuanmin Hu (huc@usf.edu). (USF AFAI 3D Atlantic Oceanographic & Meteorological Laboratory (AOML))\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nAFAI (AFAI (Alternative Floating Algae Index))\n
| https://cwcgom.aoml.noaa.gov/erddap/metadata/fgdc/xml/noaa_aoml_atlantic_oceanwatch_AFAI_3D_fgdc.xml
| https://cwcgom.aoml.noaa.gov/erddap/metadata/iso19115/xml/noaa_aoml_atlantic_oceanwatch_AFAI_3D_iso19115.xml
| https://cwcgom.aoml.noaa.gov/erddap/info/noaa_aoml_atlantic_oceanwatch_AFAI_3D/index.htmlTable
| https://cwcgom.aoml.noaa.gov/thredds/dodsC/AFAI/USFAFAI3D.nc.html
| http://cwcgom.aoml.noaa.gov:8080/erddap/rss/noaa_aoml_atlantic_oceanwatch_AFAI_3D.rss
| https://cwcgom.aoml.noaa.gov/erddap/subscriptions/add.html?datasetID=noaa_aoml_atlantic_oceanwatch_AFAI_3D&showErrors=false&email=
| USDOC/NOAA/OAR/AOML/PHOD
| noaa_aoml_atlantic_oceanwatch_AFAI_3D
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| https://cwcgom.aoml.noaa.gov/erddap/griddap/noaa_aoml_atlantic_oceanwatch_AFAI_7D
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| https://cwcgom.aoml.noaa.gov/erddap/griddap/noaa_aoml_atlantic_oceanwatch_AFAI_7D.graph
| https://cwcgom.aoml.noaa.gov/erddap/wms/noaa_aoml_atlantic_oceanwatch_AFAI_7D/request
|
| 7-day cumulative USF AFAI Fields (USF AFAI 7D AOML) (USFAFAI7D)
| 7-day cumulative University of South Florida (USF) AFAI Fields. AFAI: Alternate Floating Algae Index (in reflectance units) to detect ocean surface features such as Sargassum, green macroalgae, and cyanobacteria. AFAI is estimated by Chuanmin Hu (USF). AFAI is sensitive to detect subtle ocean surface features, but it saturates under sun glint, clouds, or thick aerosols. Reference: Hu, C., L. Feng, R. F. Hardy, and E. J. Hochberg (2015). Spectral and spatial requirements of remote measurements of pelagic Sargassum macro algae. Remote Sens. Environ. 167:229-246. doi:10.1016/j.rse.2015.05.022.\nFor technical questions, please contact Joaquin Trinanes (joaquin.trinanes@noaa.gov). For scientific questions, contact Chuanmin Hu (huc@usf.edu). (USF AFAI 3D Atlantic Oceanographic & Meteorological Laboratory (AOML))\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nAFAI (AFAI (Alternative Floating Algae Index))\n
| https://cwcgom.aoml.noaa.gov/erddap/metadata/fgdc/xml/noaa_aoml_atlantic_oceanwatch_AFAI_7D_fgdc.xml
| https://cwcgom.aoml.noaa.gov/erddap/metadata/iso19115/xml/noaa_aoml_atlantic_oceanwatch_AFAI_7D_iso19115.xml
| https://cwcgom.aoml.noaa.gov/erddap/info/noaa_aoml_atlantic_oceanwatch_AFAI_7D/index.htmlTable
| https://cwcgom.aoml.noaa.gov/thredds/dodsC/AFAI/USFAFAI7D.nc.html
| http://cwcgom.aoml.noaa.gov:8080/erddap/rss/noaa_aoml_atlantic_oceanwatch_AFAI_7D.rss
| https://cwcgom.aoml.noaa.gov/erddap/subscriptions/add.html?datasetID=noaa_aoml_atlantic_oceanwatch_AFAI_7D&showErrors=false&email=
| USDOC/NOAA/OAR/AOML/PHOD
| noaa_aoml_atlantic_oceanwatch_AFAI_7D
|
| https://cwcgom.aoml.noaa.gov/erddap/griddap/noaa_aoml_seascapes_8day
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| https://cwcgom.aoml.noaa.gov/erddap/griddap/noaa_aoml_seascapes_8day.graph
| https://cwcgom.aoml.noaa.gov/erddap/wms/noaa_aoml_seascapes_8day/request
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| 8_Day Global Seascapes
| Biogeographic framework. Space and time classified simultaneously from synoptic time series using hierarchical and topology preserving machine learning\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nCLASS (None)\nP (Prob, Punits)\n
| https://cwcgom.aoml.noaa.gov/erddap/metadata/fgdc/xml/noaa_aoml_seascapes_8day_fgdc.xml
| https://cwcgom.aoml.noaa.gov/erddap/metadata/iso19115/xml/noaa_aoml_seascapes_8day_iso19115.xml
| https://cwcgom.aoml.noaa.gov/erddap/info/noaa_aoml_seascapes_8day/index.htmlTable
| https://cwcgom.aoml.noaa.gov/thredds/dodsC/SEASCAPE_8DAY/SEASCAPES.nc.html
| http://cwcgom.aoml.noaa.gov:8080/erddap/rss/noaa_aoml_seascapes_8day.rss
| https://cwcgom.aoml.noaa.gov/erddap/subscriptions/add.html?datasetID=noaa_aoml_seascapes_8day&showErrors=false&email=
| NOAA CoastWatch, OSU, USF, NASA, UAF, IOOS, NMS
| noaa_aoml_seascapes_8day
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| https://cwcgom.aoml.noaa.gov/erddap/griddap/noaa_aoml_seascapes_8day_360
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| https://cwcgom.aoml.noaa.gov/erddap/griddap/noaa_aoml_seascapes_8day_360.graph
| https://cwcgom.aoml.noaa.gov/erddap/wms/noaa_aoml_seascapes_8day_360/request
|
| 8_Day Global Seascapes (Lon:0_360)
| Biogeographic framework. Space and time classified simultaneously from synoptic time series using hierarchical and topology preserving machine learning\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nCLASS (None)\nP (Prob, Punits)\n
| https://cwcgom.aoml.noaa.gov/erddap/metadata/fgdc/xml/noaa_aoml_seascapes_8day_360_fgdc.xml
| https://cwcgom.aoml.noaa.gov/erddap/metadata/iso19115/xml/noaa_aoml_seascapes_8day_360_iso19115.xml
| https://cwcgom.aoml.noaa.gov/erddap/info/noaa_aoml_seascapes_8day_360/index.htmlTable
| https://cwcgom.aoml.noaa.gov/thredds/dodsC/SEASCAPE_8DAY/SEASCAPES.nc.html
| http://cwcgom.aoml.noaa.gov:8080/erddap/rss/noaa_aoml_seascapes_8day_360.rss
| https://cwcgom.aoml.noaa.gov/erddap/subscriptions/add.html?datasetID=noaa_aoml_seascapes_8day_360&showErrors=false&email=
| NOAA CoastWatch, OSU, USF, NASA, UAF, IOOS, NMS
| noaa_aoml_seascapes_8day_360
|
| https://cwcgom.aoml.noaa.gov/erddap/griddap/VIIRS_OC_NRT
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| https://cwcgom.aoml.noaa.gov/erddap/griddap/VIIRS_OC_NRT.graph
| https://cwcgom.aoml.noaa.gov/erddap/wms/VIIRS_OC_NRT/request
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| Experimental NRT Global composite from NPP VIIRS created from Unprojected Swath Data from NPP VIIRS. Data provided by NOAA/NESDIS Center for Satellite Applications and Research)
| Global Daily chlor_a from Visible and Infrared Imager/Radiometer Suite (VIIRS)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nchlor_a (Chlorophyll Concentration, OC3 Algorithm, mg m^-3)\n
| https://cwcgom.aoml.noaa.gov/erddap/metadata/fgdc/xml/VIIRS_OC_NRT_fgdc.xml
| https://cwcgom.aoml.noaa.gov/erddap/metadata/iso19115/xml/VIIRS_OC_NRT_iso19115.xml
| https://cwcgom.aoml.noaa.gov/erddap/info/VIIRS_OC_NRT/index.htmlTable
| http://oceanwatch.aoml.noaa.gov/thredds/dodsC/VIIRS_OC/OC.nc.html
| http://cwcgom.aoml.noaa.gov:8080/erddap/rss/VIIRS_OC_NRT.rss
| https://cwcgom.aoml.noaa.gov/erddap/subscriptions/add.html?datasetID=VIIRS_OC_NRT&showErrors=false&email=
| USDOC/NOAA/OAR/AOML/PHOD
| VIIRS_OC_NRT
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| https://cwcgom.aoml.noaa.gov/erddap/griddap/VIIRS_OC_NRT_30D
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| https://cwcgom.aoml.noaa.gov/erddap/griddap/VIIRS_OC_NRT_30D.graph
| https://cwcgom.aoml.noaa.gov/erddap/wms/VIIRS_OC_NRT_30D/request
|
| Experimental NRT Global Monthly Cumulative field from NPP VIIRS created from Daily NPP VIIRS. Data provided by NOAA/NESDIS Center for Satellite Applications and Research)
| Global 30-day Cumulative chlor_a from Visible and Infrared Imager/Radiometer Suite (VIIRS)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nchlor_a (Chlorophyll Concentration, OC3 Algorithm, mg m^-3)\n
| https://cwcgom.aoml.noaa.gov/erddap/metadata/fgdc/xml/VIIRS_OC_NRT_30D_fgdc.xml
| https://cwcgom.aoml.noaa.gov/erddap/metadata/iso19115/xml/VIIRS_OC_NRT_30D_iso19115.xml
| https://cwcgom.aoml.noaa.gov/erddap/info/VIIRS_OC_NRT_30D/index.htmlTable
| http://oceanwatch.aoml.noaa.gov/thredds/dodsC/VIIRS_OC_7D/OC.nc.html
| http://cwcgom.aoml.noaa.gov:8080/erddap/rss/VIIRS_OC_NRT_30D.rss
| https://cwcgom.aoml.noaa.gov/erddap/subscriptions/add.html?datasetID=VIIRS_OC_NRT_30D&showErrors=false&email=
| USDOC/NOAA/OAR/AOML/PHOD
| VIIRS_OC_NRT_30D
|
| https://cwcgom.aoml.noaa.gov/erddap/griddap/VIIRS_OC_NRT_7D
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|
| https://cwcgom.aoml.noaa.gov/erddap/griddap/VIIRS_OC_NRT_7D.graph
| https://cwcgom.aoml.noaa.gov/erddap/wms/VIIRS_OC_NRT_7D/request
|
| Experimental NRT Global Weekly Cumulative field from NPP VIIRS created from Daily NPP VIIRS. Data provided by NOAA/NESDIS Center for Satellite Applications and Research)
| Global Weekly chlor_a from Visible and Infrared Imager/Radiometer Suite (VIIRS)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nchlor_a (Chlorophyll Concentration, OC3 Algorithm, mg m^-3)\n
| https://cwcgom.aoml.noaa.gov/erddap/metadata/fgdc/xml/VIIRS_OC_NRT_7D_fgdc.xml
| https://cwcgom.aoml.noaa.gov/erddap/metadata/iso19115/xml/VIIRS_OC_NRT_7D_iso19115.xml
| https://cwcgom.aoml.noaa.gov/erddap/info/VIIRS_OC_NRT_7D/index.htmlTable
| http://oceanwatch.aoml.noaa.gov/thredds/dodsC/VIIRS_OC_7D/OC.nc.html
| http://cwcgom.aoml.noaa.gov:8080/erddap/rss/VIIRS_OC_NRT_7D.rss
| https://cwcgom.aoml.noaa.gov/erddap/subscriptions/add.html?datasetID=VIIRS_OC_NRT_7D&showErrors=false&email=
| USDOC/NOAA/OAR/AOML/PHOD
| VIIRS_OC_NRT_7D
|
| https://cwcgom.aoml.noaa.gov/erddap/griddap/GoMModisAquaMonthlyClimCHLOR
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| https://cwcgom.aoml.noaa.gov/erddap/griddap/GoMModisAquaMonthlyClimCHLOR.graph
| https://cwcgom.aoml.noaa.gov/erddap/wms/GoMModisAquaMonthlyClimCHLOR/request
|
| Monthly Climatology MODIS Aqua Chlor_a
| TBD\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nchlor_a (Chlorophyll Concentration, OCI Algorithm, mg m^-3)\nStd_Dev_chlor_a (Chlorophyll Concentration standard deviation, mg m^-3)\nMaximum_chlor_a (Chlorophyll Concentration Maximum, OCI Algorithm, mg m^-3)\nMinimum_chlor_a (Chlorophyll Concentration Minimum, OCI Algorithm, mg m^-3)\n
| https://cwcgom.aoml.noaa.gov/erddap/metadata/fgdc/xml/GoMModisAquaMonthlyClimCHLOR_fgdc.xml
| https://cwcgom.aoml.noaa.gov/erddap/metadata/iso19115/xml/GoMModisAquaMonthlyClimCHLOR_iso19115.xml
| https://cwcgom.aoml.noaa.gov/erddap/info/GoMModisAquaMonthlyClimCHLOR/index.htmlTable
| http://cwcaribbean.aoml.noaa.gov
| http://cwcgom.aoml.noaa.gov:8080/erddap/rss/GoMModisAquaMonthlyClimCHLOR.rss
| https://cwcgom.aoml.noaa.gov/erddap/subscriptions/add.html?datasetID=GoMModisAquaMonthlyClimCHLOR&showErrors=false&email=
| CoastWatch, Carib. and GoM Regional Node, Atlantic OceanWatch
| GoMModisAquaMonthlyClimCHLOR
|
| https://cwcgom.aoml.noaa.gov/erddap/griddap/noaa_aoml_4729_9ee6_ab54
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|
| https://cwcgom.aoml.noaa.gov/erddap/griddap/noaa_aoml_4729_9ee6_ab54.graph
| https://cwcgom.aoml.noaa.gov/erddap/wms/noaa_aoml_4729_9ee6_ab54/request
|
| Monthly Global Seascapes
| Biogeographic framework. Space and time classified simultaneously from synoptic time series using hierarchical and topology preserving machine learning\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nCLASS (None)\nP (Prob, Punits)\n
| https://cwcgom.aoml.noaa.gov/erddap/metadata/fgdc/xml/noaa_aoml_4729_9ee6_ab54_fgdc.xml
| https://cwcgom.aoml.noaa.gov/erddap/metadata/iso19115/xml/noaa_aoml_4729_9ee6_ab54_iso19115.xml
| https://cwcgom.aoml.noaa.gov/erddap/info/noaa_aoml_4729_9ee6_ab54/index.htmlTable
| https://cwcgom.aoml.noaa.gov/thredds/dodsC/SEASCAPE_MONTH/SEASCAPES.nc.html
| http://cwcgom.aoml.noaa.gov:8080/erddap/rss/noaa_aoml_4729_9ee6_ab54.rss
| https://cwcgom.aoml.noaa.gov/erddap/subscriptions/add.html?datasetID=noaa_aoml_4729_9ee6_ab54&showErrors=false&email=
| NOAA CoastWatch, OSU, USF, NASA, UAF, IOOS, NMS
| noaa_aoml_4729_9ee6_ab54
|
| https://cwcgom.aoml.noaa.gov/erddap/griddap/noaa_aoml_4729_9ee6_ab54_360
|
|
| https://cwcgom.aoml.noaa.gov/erddap/griddap/noaa_aoml_4729_9ee6_ab54_360.graph
| https://cwcgom.aoml.noaa.gov/erddap/wms/noaa_aoml_4729_9ee6_ab54_360/request
|
| Monthly Global Seascapes (Lon:0_360)
| Biogeographic framework. Space and time classified simultaneously from synoptic time series using hierarchical and topology preserving machine learning\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nCLASS (None)\nP (Prob, Punits)\n
| https://cwcgom.aoml.noaa.gov/erddap/metadata/fgdc/xml/noaa_aoml_4729_9ee6_ab54_360_fgdc.xml
| https://cwcgom.aoml.noaa.gov/erddap/metadata/iso19115/xml/noaa_aoml_4729_9ee6_ab54_360_iso19115.xml
| https://cwcgom.aoml.noaa.gov/erddap/info/noaa_aoml_4729_9ee6_ab54_360/index.htmlTable
| https://cwcgom.aoml.noaa.gov/thredds/dodsC/SEASCAPE_MONTH/SEASCAPES.nc.html
| http://cwcgom.aoml.noaa.gov:8080/erddap/rss/noaa_aoml_4729_9ee6_ab54_360.rss
| https://cwcgom.aoml.noaa.gov/erddap/subscriptions/add.html?datasetID=noaa_aoml_4729_9ee6_ab54_360&showErrors=false&email=
| NOAA CoastWatch, OSU, USF, NASA, UAF, IOOS, NMS
| noaa_aoml_4729_9ee6_ab54_360
|
