SalishSeaCast ERDDAP
Public access to the SalishSeaCast model products

Brought to you by SalishSeaCast UBC EOAS MEOPAR NOAA

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Dataset Title:	Green, Salish Sea, 3d Biology Fields, Monthly, v21-11
Institution:	UBC EOAS (Dataset ID: ubcSSg3DBiologyFields1moV21-11)
Information:	Summary \| License \| Metadata \| Background \| Data Access Form

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time (UTC)

depth (m)

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gridY (count)

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gridX (count)

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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:

Web page authors can embed a graph of the latest data in a web page using HTML <img> tags.
Anyone can use ERDDAPs Slide Sorter to build a personal web page that displays graphs with the latest data (or other images or HTML content), each in its own, draggable slide.

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.1688624e+9, 1.7289936e+9;
    String axis "T";
    String calendar "proleptic_gregorian";
    String comment 
"time values are UTC at the centre of the intervals over which the calculated model results are averaged;
e.g. the field average values for January 2022 have a time value of 2022-01-15 12:00:00Z,
and those for April 2022 have a time value of 2022-04-15 00:00:00Z";
    String coverage_content_type "modelResult";
    String ioos_category "Time";
    String long_name "Time Axis";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float32 _FillValue NaN;
    Float32 actual_range 0.5000003, 441.4661;
    String axis "Z";
    String coverage_content_type "modelResult";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  gridY {
    Int32 _ChunkSizes 898;
    Float64 actual_range 0.0, 897.0;
    String comment 
"gridY values are grid indices in the model y-direction;
geo-location data for the SalishSeaCast NEMO model grid is available in the ubcSSnBathymetryV21-08 dataset.";
    String coverage_content_type "modelResult";
    String ioos_category "location";
    String long_name "Grid Y";
    String standard_name "y";
    String units "count";
  }
  gridX {
    Int32 _ChunkSizes 398;
    Float64 actual_range 0.0, 397.0;
    String comment 
"gridX values are grid indices in the model x-direction;
geo-location data for the SalishSeaCast NEMO model grid is available in the ubcSSnBathymetryV21-08 dataset.";
    String coverage_content_type "modelResult";
    String ioos_category "location";
    String long_name "Grid X";
    String standard_name "x";
    String units "count";
  }
  ammonium {
    Float32 _FillValue NaN;
    Float64 colorBarMaximum 5.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "dissolved_nutrients";
    String long_name "Ammonium Concentration";
    String standard_name "mole_concentration_of_ammonium_in_sea_water";
    String units "mmol m-3";
  }
  biogenic_silicon {
    Float32 _FillValue NaN;
    Float64 colorBarMaximum 70.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "dissolved_nutrients";
    String long_name "Biogenic Silicon Concentration";
    String standard_name "mole_concentration_of_organic_detritus_expressed_as_silicon_in_sea_water";
    String units "mmol m-3";
  }
  diatoms {
    Float32 _FillValue NaN;
    Float64 colorBarMaximum 20.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "biology";
    String long_name "Diatoms Concentration";
    String standard_name "mole_concentration_of_diatoms_expressed_as_nitrogen_in_sea_water";
    String units "mmol m-3";
  }
  dissolved_organic_nitrogen {
    Float32 _FillValue NaN;
    String ioos_category "dissolved_nutrients";
    String long_name "Dissolved Organic N Concentration";
    String standard_name "mole_concentration_of_organic_detritus_expressed_as_nitrogen_in_sea_water";
    String units "mmol m-3";
  }
  flagellates {
    Float32 _FillValue NaN;
    Float64 colorBarMaximum 128.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "biology";
    String long_name "Flagellates Concentration";
    String standard_name "mole_concentration_of_flagellates_expressed_as_nitrogen_in_sea_water";
    String units "mmol m-3";
  }
  z2_zooplankton {
    Float32 _FillValue NaN;
    String comment 
"The Z2 zooplankton class is the highest trophic level whose grazing impact is included in the model
and represents groups with larger body size,
longer life cycles,
and slower grazing rates
(e.g., diapausing copepod species, euphausiids, amphipods and hydrozoan jellies).";
    String ioos_category "biology";
    String long_name "Z2 Zooplankton Concentration";
    String standard_name "mole_concentration_of_z2_zooplankton_expressed_as_nitrogen_in_sea_water";
    String units "mmol m-3";
  }
  z1_zooplankton {
    Float32 _FillValue NaN;
    String comment 
"The Z1 zooplankton class freely evolves based on model dynamics and includes groups with relatively small body size,
short life cycles,
high grazing rates,
or some combination of the three
(e.g., non-diapausing copepods, all copepod nauplii, dinoflagellates, foraminiferans, and larvaceans).";
    String ioos_category "biology";
    String long_name "Z1 Zooplankton Concentration";
    String standard_name "mole_concentration_of_z1_zooplankton_expressed_as_nitrogen_in_sea_water";
    String units "mmol m-3";
  }
  nitrate {
    Float32 _FillValue NaN;
    Float64 colorBarMaximum 40.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "dissolved_nutrients";
    String long_name "Nitrate Concentration";
    String standard_name "mole_concentration_of_nitrate_in_sea_water";
    String units "mmol m-3";
  }
  particulate_organic_nitrogen {
    Float32 _FillValue NaN;
    String ioos_category "dissolved_nutrients";
    String long_name "Particulate Organic N Concentration";
    String standard_name "mole_concentration_of_particulate_organic_matter_expressed_as_nitrogen_in_sea_water";
    String units "mmol m-3";
  }
  silicon {
    Float32 _FillValue NaN;
    Float64 colorBarMaximum 70.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "dissolved_nutrients";
    String long_name "Silicon Concentration";
    String standard_name "mole_concentration_of_silicate_in_sea_water";
    String units "mmol m-3";
  }
  NC_GLOBAL {
    String acknowledgement "MEOPAR, Ocean Networks Canada (ONC), Digital Research Alliance of Canada";
    String cdm_data_type "Grid";
    String comment 
"If you use this dataset in your research,
please reference it with wording similar to the example below,
and include citations of the publications below.
Inclusion of the date(s) when you downloaded the dataset,
and the dataset id help to ensure reproducibility of your work.

Example wording:

3d SMELT biological model field values from the SalishSeaCast NEMO model
(Soontiens et al, 2016; Moore-Maley et al, 2016; Soontiens and Allen, 2017; Olson et al, 2020; Suchy et al, 2023)
were downloaded from their ERDDAP server
(https://salishsea.eos.ubc.ca/erddap/)
on DATE from dataset ubcSSg3DBiologyFields1moV21-11.

Citations:

Soontiens, N., Allen, S., Latornell, D., Le Souef, K., Machuca, I., Paquin, J.-P., Lu, Y., Thompson, K., Korabel, V., 2016.
Storm surges in the Strait of Georgia simulated with a regional model.
Atmosphere-Ocean 54 1-21.
https://dx.doi.org/10.1080/07055900.2015.1108899

Moore-Maley, B. L., Allen, S. E., and IansonD., 2016.
Locally-driven interannual variability of near-surface pH and ÃŽÂ©A in the Strait of Georgia.
J. Geophys. Res. Oceans, 121(3), 1600Ã¢â,¬\"1625.
https://dx.doi.org/10.1002/2015JC011118

Soontiens, N. and Allen, S., 2017.
Modelling sensitivities to mixing and advection in a sill-basin estuarine system.
Ocean Modelling, 112, 17-32.
https://dx.doi.org/10.1016/j.ocemod.2017.02.008

Olson, E. M., Allen, S. E., Do, Vy, Dunphy, M., and Ianson, D., 2020.
Assessment of Nutrient Supply by a Tidal Jet in the Northern Strait of Georgia Based on a Biogeochemical Model.
J. Geophys. Res. Oceans, 125(8).
https://doi.org/10.1029/2019JC015766

Suchy, K. D., Olson, E. M., Allen, S. E., Galbraith, M., Herrmann, B., Keister, J.E., Perry, R.I., Sastri, A. R., Young, K., 2023.
Seasonal and regional variability of model-based zooplankton biomass in the Salish Sea and evaluation against observations.
Progress in Oceanography, 219, 103171.
https://doi.org/10.1016/j.pocean.2023.103171";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creator_email "sallen@eoas.ubc.ca";
    String creator_name "SalishSeaCast Project Contributors";
    String creator_url "https://salishsea-meopar-docs.readthedocs.io/";
    String description "biogeochemical variables";
    String drawLandMask "over";
    String history 
"2024-11-21T11:34:14Z (local files)
2024-11-21T11:34:14Z https://salishsea.eos.ubc.ca/griddap/ubcSSg3DBiologyFields1moV21-11.das";
    String infoUrl "https://salishsea.eos.ubc.ca/";
    String institution "UBC EOAS";
    String institution_fullname "Earth, Ocean & Atmospheric Sciences, University of British Columbia";
    String keywords "ammonia, ammonium, aquatic, biogenic, biogenic_silicon, biological, biosphere, chemistry, concentration, depth, detritus, diatoms, dissolved, dissolved_organic_nitrogen, Earth Science > Biological Classification > Protists > Diatoms, Earth Science > Biosphere > Aquatic Ecosystems > Plankton > Zooplankton, Earth Science > Oceans > Ocean Chemistry > Ammonia, Earth Science > Oceans > Ocean Chemistry > Nitrate, Earth Science > Oceans > Ocean Chemistry > Nitrogen, Earth Science > Oceans > Ocean Chemistry > Organic Matter, Earth Science > Oceans > Ocean Chemistry > Silicate, ecosystems, flagellates, marine, mole_concentration_of_ammonium_in_sea_water, mole_concentration_of_diatoms_expressed_as_nitrogen_in_sea_water, mole_concentration_of_flagellates_expressed_as_nitrogen_in_sea_water, mole_concentration_of_nitrate_in_sea_water, mole_concentration_of_organic_detritus_expressed_as_nitrogen_in_sea_water, mole_concentration_of_organic_detritus_expressed_as_silicon_in_sea_water, mole_concentration_of_particulate_organic_matter_expressed_as_nitrogen_in_sea_water, mole_concentration_of_silicate_in_sea_water, mole_concentration_of_z1_zooplankton_expressed_as_nitrogen_in_sea_water, mole_concentration_of_z2_zooplankton_expressed_as_nitrogen_in_sea_water, n02, nh4, nitrate, nitrogen, no3, ocean, oceans, organic, particulate, particulate_organic_nitrogen, plankton, protists, river, sea, seawater, silicate, silicon, time, tracer, water, zooplankton";
    String keywords_vocabulary "GCMD Science Keywords";
    String license 
"The SalishSeaCast NEMO model results are copyright
by the SalishSeaCast Project Contributors and The University of British Columbia.

They are licensed under the Apache License, Version 2.0. https://www.apache.org/licenses/LICENSE-2.0";
    String project "SalishSeaCast NEMO Model";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary 
"Green, Salish Sea, 3d Biology Fields, Monthly, v21-11

3d SMELT biological model field values averaged over 1 month intervals
from SalishSeaCast NEMO model runs with physics, biology and chemistry. The values are calculated for the entire model grid
that includes the Juan de Fuca Strait, the Strait of Georgia, Puget Sound,
and Johnstone Strait on the coasts of Washington State and British Columbia.
The time values are UTC.
They are the centre of the intervals over which the calculated model results are averaged;
e.g. the field average values for January 2007 have a time value of 2007-01-16 12:00:00Z.
Geo-location and depth data for the SalishSeaCast NEMO model grid are available in the ubcSSnBathymetry21-08 dataset.

v17-02: Micromolar concentrations of ammonium, biogenic silicon, ciliates (mesodinium rubrum),
        diatoms, dissolved organic nitrogen, flagellates (nanophytoplankton), mesozooplankton, microzooplankton,
        nitrate, particulate organic nitrogen, silicon.
        Fraser River water turbidity tracer.
        NEMO-3.6; ubcSSnBathymetryV17-02 bathymetry; see infoUrl link for full details.
v18-06: NEMO-3.6 SalishSeaCast-201806 configuration; ubcSSnBathymetryV17-02 bathymetry;
        see infoUrl link for full details.
v18-12: NEMO-3.6 SalishSeaCast-201812 configuration; ubcSSnBathymetryV17-02 bathymetry;
        see infoUrl link for full details.
v19-05: NEMO-3.6 SalishSeaCast-201905 configuration; ubcSSnBathymetryV17-02 bathymetry;
        see infoUrl link for full details.
v21-11: NEMO-3.6 SalishSeaCast-202111 configuration; ubcSSnBathymetryV21-08 bathymetry;
        see infoUrl link for full details.";
    String testOutOfDate "now-36days";
    String time_coverage_end "2024-10-15T12:00:00Z";
    String time_coverage_start "2007-01-15T12:00:00Z";
    String title "Green, Salish Sea, 3d Biology Fields, Monthly, v21-11";
  }
}

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.

(easy) You can get data by using the dataset's Data Access Form. It makes the URL for you.
(easy) You can make a graph or map by using the dataset's Make A Graph form. It makes the URL for you.
(not hard) You can bypass the forms and get the data or make a graph or map by generating the URL by hand or with a computer program or script.

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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