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| griddap | Subset | tabledap | Make A Graph | wms | files | Title | Summary | FGDC | ISO 19115 | Info | Background Info | RSS | Institution | Dataset ID | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| https://odss.mbari.org/erddap/griddap/charmForecast1day | https://odss.mbari.org/erddap/griddap/charmForecast1day.graph | https://odss.mbari.org/erddap/wms/charmForecast1day/request | C-HARM v1 1-Day Forecast, Pseudo-nitzschia, cellular domoic acid, and particular domoic acid probability, California and Southern Oregon coast, 2018-2022, Lon+/-180 | The C-HARM model generates nowcast and forecasts of the probability of Pseudo-nitzschia concentrations of in excess of 10,000 cells/L in California and Southern Oregon coastal water. Gap-filled chlorophyll a, 488nm reflectance, and 555nm reflectance fields are included in the dataset. Inputs for the model include near real-time satellite observations of ocean color and Regional Ocean Modeling System (ROMS) model nowcast and forecast of surface salinity, sea surface temperature, and surface currents\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\npseudo_nitzschia (Probability of Pseudo-nitzschia > 10,000 cells/L, 1)\n | https://odss.mbari.org/erddap/metadata/fgdc/xml/charmForecast1day_fgdc.xml | https://odss.mbari.org/erddap/metadata/iso19115/xml/charmForecast1day_iso19115.xml | https://odss.mbari.org/erddap/info/charmForecast1day/index.htmlTable | https://data.cencoos.org/#search?type_group=all&query=hab&page=1
| https://odss.mbari.org/erddap/rss/charmForecast1day.rss | https://odss.mbari.org/erddap/subscriptions/add.html?datasetID=charmForecast1day&showErrors=false&email= | UCSC, UCSD | charmForecast1day | |||
| https://odss.mbari.org/erddap/griddap/sst_front_0f9c_e27b_405e | https://odss.mbari.org/erddap/griddap/sst_front_0f9c_e27b_405e.graph | Data from a local source. | Data from a local source.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [scan_lines_along_track][pixels_across_track]):\nlatitude (degrees_north)\nlongitude (degrees_east)\nsatellite_zenith_angle\nsolar_zenith_angle\nrelative_azimuth_angle\nbrightness_temp_chM12 (Brightness Temp Ch M12)\nbrightness_temp_chM13 (Brightness Temp Ch M13)\nbrightness_temp_chM14 (Brightness Temp Ch M14)\nbrightness_temp_chM15 (Brightness Temp Ch M15)\nbrightness_temp_chM16 (Brightness Temp Ch M16)\nbrightness_temp_crtm_chM12 (Brightness Temp Crtm Ch M12)\nbrightness_temp_crtm_chM13 (Brightness Temp Crtm Ch M13)\nbrightness_temp_crtm_chM14 (Brightness Temp Crtm Ch M14)\nbrightness_temp_crtm_chM15 (Brightness Temp Crtm Ch M15)\nbrightness_temp_crtm_chM16 (Brightness Temp Crtm Ch M16)\nbrightness_temp_crtm_chM12_sst (Brightness Temp Crtm Ch M12 Sst)\nbrightness_temp_crtm_chM13_sst (Brightness Temp Crtm Ch M13 Sst)\nbrightness_temp_crtm_chM14_sst (Brightness Temp Crtm Ch M14 Sst)\nbrightness_temp_crtm_chM15_sst (Brightness Temp Crtm Ch M15 Sst)\nbrightness_temp_crtm_chM16_sst (Brightness Temp Crtm Ch M16 Sst)\nacspo_mask\nacspo_hybrid_mask\nindividual_clear_sky_tests_results\nindividual_clear_sky_tests_hybrid\nextra_byte_clear_sky_tests_results\nextra_byte_clear_sky_tests_hybrid\nsst_regression\n... (17 more variables)\n | https://odss.mbari.org/erddap/info/sst_front_0f9c_e27b_405e/index.htmlTable | https://www.noaa.gov/
| https://odss.mbari.org/erddap/rss/sst_front_0f9c_e27b_405e.rss | https://odss.mbari.org/erddap/subscriptions/add.html?datasetID=sst_front_0f9c_e27b_405e&showErrors=false&email= | NOAA | sst_front_0f9c_e27b_405e | ||||||
| https://odss.mbari.org/erddap/griddap/nesdisSSH1day | https://odss.mbari.org/erddap/griddap/nesdisSSH1day.graph | https://odss.mbari.org/erddap/wms/nesdisSSH1day/request | NOAA CoastWatch, Sea Surface Height Anomalies from Altimetry, Global, 2017-present, EXPERIMENTAL | The altimetry data are from RADS (http://rads.tudelft.nl/rads/rads.shtml), the Radar Altimetry Database System, first developed at Delft University of Technology, now also at the NOAA and the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT). The RADS data for each mission is updated with state of the art corrections for tides, atmospheric path delay, etc. Because they are all computed consistently between the various missions, this avoids the possibility of introducing biases and drifts because of the different implementation of the various corrections by different agencies. The goals of RADS are to provide a homogenous dataset of sea level anomalies, wave heights, and wind speeds, along with database selection and analysis tools.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nsla (Sea Level Anomalies, m)\n | https://odss.mbari.org/erddap/metadata/fgdc/xml/nesdisSSH1day_fgdc.xml | https://odss.mbari.org/erddap/metadata/iso19115/xml/nesdisSSH1day_iso19115.xml | https://odss.mbari.org/erddap/info/nesdisSSH1day/index.htmlTable | https://coastwatch.noaa.gov/cw_html/SSH_SeaLevelAnomaly.html
| https://odss.mbari.org/erddap/rss/nesdisSSH1day.rss | https://odss.mbari.org/erddap/subscriptions/add.html?datasetID=nesdisSSH1day&showErrors=false&email= | NOAA/NESDIS Center for Satellite Applications and Research | nesdisSSH1day |