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Dataset Title:  C-HARM v2 1-Day Forecast, Pseudo-nitzschia, cellular domoic acid, and
particular domoic acid probability, California and Southern Oregon coast, 2022-
present, Lon+/-180
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Institution:  UCSC, UCSD   (Dataset ID: charmForecast1dayV2_LonPM180)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files
 
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Things You Can Do With Your Graphs

Well, you can do anything you want with your graphs, of course. But some things you might not have considered are:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.6095888e+9, 1.669896e+9;
    String axis "T";
    String calendar "Gregorian";
    String comment "The day represented by the forecasts";
    String coverage_content_type "coordinate";
    String ioos_category "Time";
    String long_name "Centered Forecast Time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 31.3, 43.0;
    String axis "Y";
    String comment "The latitude values are the centers of the grid cells";
    String coordsys "geographic";
    String coverage_content_type "coordinate";
    String ioos_category "Location";
    String long_name "Latitude";
    String point_spacing "even";
    String standard_name "latitude";
    String units "degrees_north";
    Float32 valid_range -90.0, 90.0;
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -127.5, -117.0;
    String axis "X";
    String comment "Longitude values are the centers of the grid cells";
    String coordsys "geographic";
    String coverage_content_type "coordinate";
    String ioos_category "Location";
    String long_name "Longitude";
    String point_spacing "even";
    String standard_name "longitude";
    String units "degrees_east";
    Float32 valid_range 0.0, 360.0;
  }
  pseudo_nitzschia {
    Float32 _FillValue -99999.0;
    Float32 colorBarMaximum 1.0;
    Float32 colorBarMinimum 0.0;
    String coordsys "geographic";
    String coverage_content_type "modelResult";
    String ioos_category "Phytoplankton Species";
    String long_name "Probability of Pseudo-nitzschia > 10,000 cells/L ";
    Float32 missing_value -99999.0;
    String units "1";
    Float32 valid_range 0.0, 1.0;
  }
  cellular_domoic {
    Float32 _FillValue -99999.0;
    Float32 colorBarMaximum 1.0;
    Float32 colorBarMinimum 0.0;
    String coordsys "geographic";
    String coverage_content_type "modelResult";
    String ioos_category "Contaminants";
    String long_name "Probability of Cellular Domoic Acid > 10 picograms/cell";
    Float32 missing_value -99999.0;
    String units "1";
    Float32 valid_range 0.0, 1.0;
  }
  particulate_domoic {
    Float32 _FillValue -99999.0;
    Float32 colorBarMaximum 1.0;
    Float32 colorBarMinimum 0.0;
    String coordsys "geographic";
    String coverage_content_type "modelResult";
    String ioos_category "Contaminants";
    String long_name "Probability of Particulate Domoic Acid > 500 nanograms/L";
    Float32 missing_value -99999.0;
    String units "1";
    Float32 valid_range 0.0, 1.0;
  }
  chla_filled {
    Float32 _FillValue 9999.0;
    Float32 colorBarMaximum 30.0;
    Float32 colorBarMinimum 0.03;
    String colorBarScale "Log";
    String coordsys "geographic";
    String coverage_content_type "auxiliaryInformation";
    String ioos_category "Ocean Color";
    String long_name "S-NPP NOAA VIIRS Chlorophyll Fields Filled with DINEOF";
    Float32 missing_value 9999.0;
    String units "mg m^-3";
  }
  rrs486_filled {
    Float32 _FillValue 9999.0;
    Float32 colorBarMaximum 0.015;
    Float32 colorBarMinimum 0.0;
    String coordsys "geographic";
    String coverage_content_type "auxiliaryInformation";
    String ioos_category "Ocean Color";
    String long_name "S-NPP NOAA VIIRS 486nm Reflectance Fields Filled with DINEOF";
    Float32 missing_value 9999.0;
    String standard_name "surface_ratio_of_upwelling_radiance_emerging_from_sea_water_to_downwelling_radiative_flux_in_air";
    String units "sr^-1";
  }
  rrs551_filled {
    Float32 _FillValue 9999.0;
    Float32 colorBarMaximum 0.006;
    Float32 colorBarMinimum 0.0;
    String coordsys "geographic";
    String coverage_content_type "auxiliaryInformation";
    String ioos_category "Ocean Color";
    String long_name "S-NPP NOAA VIIRS 551nm Reflectance Fields Filled with DINEOF";
    Float32 missing_value 9999.0;
    String standard_name "surface_ratio_of_upwelling_radiance_emerging_from_sea_water_to_downwelling_radiative_flux_in_air";
    String units "sr^-1";
  }
  NC_GLOBAL {
    String acknowledgement "UCSC UCSDWe thank NOAA CoastWatch West Coast Node (https://coastwatch.pfeg.noaa.gov/) for generating C-HARM model output and NOAA Southwest Fisheries (https://swfsc.noaa.gov/) for serving the data and computing resources. ROMS model data was provided by the West Coast Operational Forecast System (https://tidesandcurrents.noaa.gov/ofs/dev/wcofs/wcofs.html). Ocean color data provided by NOAA CoastWatch (https://coastwatch.noaa.gov/cw/satellite-data-products/ocean-color/near-real-time/viirs-single-sensor.html). This project was supported by the NOAA Coastal and Ocean Modeling Testbed Project (NOAA-NOS-IOOS-2018-2005452), award NA18NOS0120161 to Dr. Christopher Edwards.";
    String cdm_data_type "Grid";
    String composite "true";
    String contributor "Dale Robinson, Christopher Edwards, Raphe Kudela, Clarissa Anderson";
    String contributor_email "dale.robinson@noaa.gov, cedwards@ucsc.edu, kudela@ucsc.edu, cra002@ucsd.edu";
    String contributor_name "Dale Robinson, Christopher Edwards, Raphe Kudela, Clarissa Anderson";
    String contributor_role "operationalizing, Lead PI, Co-PI, Co-PI";
    String contributor_url "https://coastwatch.pfeg.noaa.gov, https://oceanmodeling.ucsc.edu, http://oceandatacenter.ucsc.edu/home/ https://www.sccoos.org";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creator_email "cra002@ucsd.edu";
    String creator_name "Clarissa Anderson";
    String creator_type "person";
    String creator_url "https://www.cencoos.org/observations/models-forecasts/";
    String date_created "2022-12-02T14:28:03Z";
    String date_issued "2022-12-02T14:28:03Z";
    String date_metadata_modified "2022-12-02T14:28:03Z";
    String date_modified "2022-12-02T14:28:03Z";
    Float64 Easternmost_Easting -117.0;
    Float64 geospatial_lat_max 43.0;
    Float64 geospatial_lat_min 31.3;
    Float64 geospatial_lat_resolution 0.03;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -117.0;
    Float64 geospatial_lon_min -127.5;
    Float64 geospatial_lon_resolution 0.03;
    String geospatial_lon_units "degrees_east";
    String history 
"2022-12-02: DINEOF gap filling was applied to daily S-NPP NOAA VIIRS chlorophyll, 551nm reflectance, and 486nm reflectance fields extending back 180 days from today's date.
 The gap-filled data plus salinity and temperature data from the CA-ROMS model were used as inputs to the C-HARM model to obtain nowcast. 
 ROMS current forecasts were used to advect the NOAA VIIRS data 1, 2, and 3 days into the future. Data gaps resulting from the advection were filled with a second DINEOF. 
 The advected gap-filled data plus salinity and temperature ROMS forecast data were used as inputs to the C-HARM model to obtain forecasts for 1, 2, and 3 days into the future.
2024-12-12T10:55:02Z (local files)
2024-12-12T10:55:02Z https://coastwatch.pfeg.noaa.gov/griddap/charmForecast1dayV2_LonPM180.das";
    String id "charmForecast1dayV2";
    String infoUrl "https://data.cencoos.org/#search?type_group=all&query=hab&page=1";
    String institution "UCSC, UCSD";
    String keywords "488nm, 555nm, acid, air, atmosphere, atmospheric, biological, biosphere, c-harm, california, cell, cells, cells/l, cellular, cellular_domoic, cencoos, chemistry, chla, chla_filled, chlorophyll, chlorophyll-a, classification, coast, coastal, coastwatch, color, concentration, concentration_of_chlorophyll_in_sea_water, data, deigo, diatoms, dineof, domoic, domoic acid, downwelling, earth, Earth Science > Atmosphere > Atmospheric Radiation > Radiative Flux, Earth Science > Biological Classification > Protists > Diatoms, Earth Science > Biological Classification > Protists > Plankton > Phytoplankton, Earth Science > Biosphere > Ecosystems > Marine Ecosystems > Coastal, Earth Science > Ocean > Ocean Temperature > Sea Surface Temperature, Earth Science > Oceans > Coastal Processes, Earth Science > Oceans > Ocean Chemistry > Chlorophyll, Earth Science > Oceans > Ocean Optics > Radiance, eastern, ecosystems, emerging, fields, filled, flux, forecast, habs, harm, harmful algal blooms, heat, heat flux, imaging, latitude, longitude, marine, model, modeling, moderate, modis, nanograms, nanograms/l, near, nitzschia, noaa, nowcast, nrt, observing, ocean, OCEAN > PACIFIC OCEAN > EASTERN PACIFIC OCEAN > CALIFORNIA, ocean color, oceans, optics, oregon, pacific, particular, particulate, particulate_domoic, phytoplankton, picograms, picograms/cell, plankton, probability, processes, protists, pseudo, pseudo-nitzschia, pseudo_nitzschia, r488_filled, r555_filled, radiance, radiation, radiative, ratio, real, reflectance, regional, resolution, roms, san, sccoos, science, sea, seawater, southern, spectroradiometer, sst, surface, surface_ratio_of_upwelling_radiance_emerging_from_sea_water_to_downwelling_radiative_flux_in_air, system, temperature, time, ucsc, ucsd, university, upwelling, water, with";
    String keywords_vocabulary "NASA Global Change Master Directory (GCMD) Science Keywords";
    String license 
"The data may be used and redistributed for free but are not intended for legal use, since it may contain inaccuracies. Neither the data Creator, Contributor, CoastWatch, NOAA, nor the United States Government, nor any of their employees or contractors, makes any warranty, express or implied, including warranties of merchantability and fitness for a particular purpose, or assumes any legal liability for the accuracy, completeness, or usefulness, of this information. 
 Please acknowledge the use of these data with the following statement: The data were downloaded from NOAA CoastWatch-West Coast Regional Node and Southwest Fisheries Science Center's Environmental Research Division. To cite these data in a paper, please follow the instructions in the license and at this link: https://coastwatch.pfeg.noaa.gov/erddap/information.html#citeDataset";
    String naming_authority "gov.noaa.pfeg.coastwatch";
    Float64 Northernmost_Northing 43.0;
    String platform "JPSS S-NPP";
    String processing_level "L4 Mapped";
    String product_name "C-HARM model nowcast and forecast";
    String product_version "2.0";
    String project "California-Harmful Algal Risk Mapping (C-HARM)";
    String projection "geographic";
    String publisher_email "erd.data@noaa.gov";
    String publisher_name "NOAA/NMFS/SWFSC/ERD";
    String publisher_type "institution";
    String publisher_url "https://coastwatch.pfeg.noaa.gov";
    String references "Anderson et al. 2016. doi:10.106/j.hal.2016.08.006, Anderson et al. 2011. doi:10.1029/2010GL045858, Anderson et al. 2009. doi: 10.1016/j.hal.2008.10.00";
    String sensor "VIIRS";
    String source "C-HARM model output";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 31.3;
    String spatial_resolution "3 km";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "The C-HARM model generates nowcast and forecasts of the probability of Pseudo-nitzschia concentrations of in excess of 10,000 cells/L, the probability of particulate domoic acid > 500 nanograms/L, and the probability of cellular domoic acid > 10 picograms/cell in California and Southern Oregon coastal water. Inputs for the model include near real-time satellite observations gap-filled chlorophyll a, 486nm reflectance, and 551nm reflectance fields from the S-NPP NOAA VIIRS sensor plus nowcast and forecast data of surface salinity, sea surface temperature, and surface currents from WCOFS ROMS. The chlorophyll a, reflectance, temperature, and surface current fields are included in the dataset";
    String testOutOfDate "now-1day";
    String time_coverage_end "2022-12-01T12:00:00Z";
    String time_coverage_resolution "PD1";
    String time_coverage_start "2021-01-02T12:00:00Z";
    String title "C-HARM v2 1-Day Forecast, Pseudo-nitzschia, cellular domoic acid, and particular domoic acid probability, California and Southern Oregon coast, 2022-present, Lon+/-180";
    Float64 Westernmost_Easting -127.5;
  }
}

 

Using griddap to Request Data and Graphs from Gridded Datasets

griddap lets you request a data subset, graph, or map from a gridded dataset (for example, sea surface temperature data from a satellite), via a specially formed URL. griddap uses the OPeNDAP (external link) Data Access Protocol (DAP) (external link) and its projection constraints (external link).

The URL specifies what you want: the dataset, a description of the graph or the subset of the data, and the file type for the response.

griddap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/griddap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/griddap/jplMURSST41.htmlTable?analysed_sst[(2002-06-01T09:00:00Z)][(-89.99):1000:(89.99)][(-179.99):1000:(180.0)]
Thus, the query is often a data variable name (e.g., analysed_sst), followed by [(start):stride:(stop)] (or a shorter variation of that) for each of the variable's dimensions (for example, [time][latitude][longitude]).

For details, see the griddap Documentation.


 
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