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Dataset Title:  C-HARM 3-Day Advanced Forecast: Pseudo-Nitzschia, cellular domoic acid, and
particulate domoic acid probability, California and Southern Oregon coast
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Institution:  UCSC, UCSD   (Dataset ID: charmForecast3day)
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 1.5296688e+9, 1.5378768e+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 "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 232.5, 243.0;
    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;
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String coordsys "geographic";
    String coverage_content_type "modelResult";
    String ioos_category "Unknown";
    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;
  }
  particulate_domoic {
    Float32 _FillValue -99999.0;
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String coordsys "geographic";
    String coverage_content_type "modelResult";
    String ioos_category "Unknown";
    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;
  }
  cellular_domoic {
    Float32 _FillValue -99999.0;
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String coordsys "geographic";
    String coverage_content_type "modelResult";
    String ioos_category "Unknown";
    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;
  }
  chla_filled {
    Float32 _FillValue 9999.0;
    Float64 colorBarMaximum 30.0;
    Float64 colorBarMinimum 0.03;
    String colorBarScale "Log";
    String coordsys "geographic";
    String coverage_content_type "auxiliaryInformation";
    String ioos_category "Ocean Color";
    String long_name "Chlorophyll fields filled with DINEOF";
    Float32 missing_value 9999.0;
    String standard_name "concentration_of_chlorophyll_in_sea_water";
    String units "mg m^-3";
  }
  r555_filled {
    Float32 _FillValue 9999.0;
    Float64 colorBarMaximum 0.006;
    Float64 colorBarMinimum 0.0;
    String coordsys "geographic";
    String coverage_content_type "auxiliaryInformation";
    String ioos_category "Heat Flux";
    String long_name "555nm 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";
  }
  r488_filled {
    Float32 _FillValue 9999.0;
    Float64 colorBarMaximum 0.015;
    Float64 colorBarMinimum 0.0;
    String coordsys "geographic";
    String coverage_content_type "auxiliaryInformation";
    String ioos_category "Heat Flux";
    String long_name "488nm 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 "We thank NOAA CoastWatch West Coast Node (https://coastwatch.pfeg.noaa.gov/) for generating and serving the C-HARM model output and NOAA Southwest Fisheries (https://swfsc.noaa.gov/) for computing resources. ROMS model data was provided by the Cooperative Ocean Prediction System (http://west.rssoffice.com/). Ocean color data provided by NASA Goddard Space Flight Center, Ocean Ecology Laboratory, Ocean Biology Processing Group (MODIS Aqua Ocean Color Data; 2018 Reprocessing, doi: 10.5067/AQUA/MODIS/L2/OC/2018), NASA OB.DAAC, Greenbelt, MD, USA. This project was supported by the NASA Applied Sciences Program grant 80NSSC17K0049.";
    String cdm_data_type "Grid";
    String composite "true";
    String contributor "Dale Robinson, Fred Bahr, Yizhen Li, Raphe Kudela, Richard Stumpf, SCCOOS";
    String contributor_email "dale.robinson@noaa.gov, flbahr@mbari.org, yizhen.li@noaa.gov, kudela@ucsc.edu, richard.stumpf@noaa.gov, cra002@ucsd.edu";
    String contributor_role "operationalize, model coding, code transition, Co-PI, Co-PI, CA HAB Bulletin";
    String contributor_url "https://coastwatch.pfeg.noaa.gov, https://www.cencoos.org, https://coastalscience.noaa.gov/research/stressor-impacts-mitigation/hab-forecasts, https://www.ucsc.edu, https://coastalscience.noaa.gov/, 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 "http://www.cencoos.org/data/models/habs";
    String date_created "2018-09-22T12:02:09Z";
    String date_issued "2018-09-22T12:02:09Z";
    String date_metadata_modified "2018-09-22T12:02:09Z";
    String date_modified "2018-09-22T12:02:09Z";
    Float64 Easternmost_Easting 243.0;
    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 243.0;
    Float64 geospatial_lon_min 232.5;
    Float64 geospatial_lon_resolution 0.03;
    String geospatial_lon_units "degrees_east";
    String history 
"2018-09-22: DINEOF gap filling was applied to daily MODIS Aqua chlorophyll, 555nm reflectance, and 488nm reflectance fields extending back 180 days from today's date.
 The gap-filled data plus salinity and temperature ROMS data were used as inputs to the C-HARM model to obtain nowcast. 
 ROMS current forecasts were used to advect the MODIS data 1, 2, and three days into the future and gap-filled with DINEOF. 
 These 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.
2018-09-23T12:59:57Z (local files)
2018-09-23T12:59:57Z http://coastwatch.pfeg.noaa.gov/griddap/charmForecast3day.das";
    String id "charmForecastDay3";
    String infoUrl "https://www.cencoos.org/data/models/habs";
    String institute "UCSC UCSD";
    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 "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 "Aqua";
    String processing_level "L4 Mapped";
    String product_name "C-HARM model nowcast and forecast";
    String product_version "1.0";
    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 "MODIS";
    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 v55";
    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 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";
    String testOutOfDate "now+1day";
    String time_coverage_end "2018-09-25T12:00:00Z";
    String time_coverage_resolution "PD1";
    String time_coverage_start "2018-06-22T12:00:00Z";
    String title "C-HARM 3-Day Advanced Forecast: Pseudo-Nitzschia, cellular domoic acid, and particulate domoic acid probability, California and Southern Oregon coast";
    Float64 Westernmost_Easting 232.5;
  }
}

 

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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