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Dataset Title:  Green, Salish Sea, 3d Chemistry Fields, Monthly, v21-11 Subscribe RSS
Institution:  UBC EOAS   (Dataset ID: ubcSSg3DChemistryFields1moV21-11)
Information:  Summary ? | License ? | Metadata | Background | Data Access Form
 
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Y Axis:  ?
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time (UTC) ?
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depth (m) ?     specify just 1 value →
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gridY (count) ?     specify just 1 value →
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gridX (count) ?     specify just 1 value →
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   Minimum:   Maximum:   N Sections: 
Y Axis Minimum:   Maximum:   Ascending: 
 
(Please be patient. It may take a while to get the data.)
 
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[The graph you specified. Please be patient.]

 

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 1.1688624e+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";
  }
  dissolved_inorganic_carbon {
    Float32 _FillValue NaN;
    Float64 colorBarMaximum 2400.0;
    Float64 colorBarMinimum 600.0;
    String coverage_content_type "modelResult";
    String ioos_category "co2";
    String long_name "Dissolved Inorganic C Concentration";
    String standard_name "mole_concentration_of_dissolved_inorganic_carbon_in_sea_water";
    String units "mmol m-3";
  }
  total_alkalinity {
    Float32 _FillValue NaN;
    Float64 colorBarMaximum 2400.0;
    Float64 colorBarMinimum 500.0;
    String coverage_content_type "modelResult";
    String ioos_category "co2";
    String long_name "Total Alkalinity Concentration";
    String standard_name "sea_water_alkalinity_expressed_as_mole_equivalent";
    String units "mmol m-3";
  }
  dissolved_oxygen {
    Float32 _FillValue NaN;
    Float64 colorBarMaximum 500.0;
    Float64 colorBarMinimum 0.0;
    String coverage_content_type "modelResult";
    String ioos_category "dissolved_o2";
    String long_name "Dissolved Oxygen Concentration";
    String standard_name "mole_concentration_of_dissolved_molecular_oxygen_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 SKOG carbon chemistry and oxygen fields from the SalishSeaCast NEMO model
(Soontiens et al, 2016; Soontiens and Allen, 2017, Jarníková et al, 2022)
were downloaded from their ERDDAP server
(https://salishsea.eos.ubc.ca/erddap/)
on DATE from dataset ubcSSg3DChemistryFields1moV21-11.

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

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

Jarníková T., Ianson D., Allen S.E., Shao A.E., Olson E.M.. 2022.
Anthropogenic carbon increase has caused critical shifts in aragonite saturation across a sensitive coastal system.
Global Biogeochemical Cycles, 36(7).
https://doi.org/10.1029/2021GB007024";
    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 
"2024-11-21T12:10:23Z (local files)
2024-11-21T12:10:23Z https://salishsea.eos.ubc.ca/griddap/ubcSSg3DChemistryFields1moV21-11.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 "alkalinity, carbon, chemistry, concentration, depth, dissolved, dissolved_inorganic_carbon, dissolved_oxygen, Earth Science > Oceans > Ocean Chemistry > Alkalinity, Earth Science > Oceans > Ocean Chemistry > Carbon, Earth Science > Oceans > Ocean Chemistry > Inorganic Carbon, Earth Science > Oceans > Ocean Chemistry > Oxygen, mole_concentration_of_dissolved_inorganic_carbon_in_sea_water, mole_concentration_of_dissolved_molecular_oxygen_in_sea_water, O2, ocean, oceans, oxygen, sea, sea_water_alkalinity_expressed_as_mole_equivalent, seawater, time, total_alkalinity, water";
    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 Chemistry Fields, Monthly, v21-11

3d dissolved inorganic carbon, dissolved oxygen, and total alkalinity 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 ubcSSnBathymetryV21-08 dataset.

v21-11: NEMO-3.6 SalishSeaCast-202111 configuration; ubcSSnBathymetryV21-08 bathymetry;
        see infoUrl link for full details.
        Dissolved inorganic carbon, dissolved oxygen, and total alkalinity variables.";
    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 Chemistry 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.

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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