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Dataset Title:  Green, Salish Sea, 2d Depth-averaged Tracer Fields, Seasonal, v17-02 Subscribe RSS
Institution:  UBC EOAS   (Dataset ID: ubcSSg2DTracerFieldsSeasonalV17-02)
Information:  Summary ? | License ? | Metadata | Background (external link) | Data Access Form
Graph Type:  ?
X Axis:  ?
Y Axis:  ?
Color:  ?
Dimensions ?    Start ?    Stop ?
time (UTC) ?
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< slider >
gridY (count) ?     specify just 1 value →
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< <
gridX (count) ?     specify just 1 value →
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Graph Settings
Marker Type:   Size: 
Color Bar:   Continuity:   Scale: 
   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 1.42128e+9, 1.5081552e+9;
    String axis "T";
    String calendar "gregorian";
    String cell_methods "time_counter: mean";
    String comment "time values are UTC at the centre of the intervals over which the calculated model results are averaged";
    String coverage_content_type "modelResult";
    String ioos_category "Time";
    String long_name "Time axis";
    String source_name "time_counter";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  gridY {
    Int16 actual_range 0, 897;
    String coverage_content_type "modelResult";
    String ioos_category "location";
    String long_name "Y";
    String units "count";
  gridX {
    Int16 actual_range 0, 397;
    String coverage_content_type "modelResult";
    String ioos_category "location";
    String long_name "X";
    String units "count";
  salinity {
    Int32 _ChunkSizes 1, 898, 398;
    Float64 colorBarMaximum 34.0;
    Float64 colorBarMinimum 0.0;
    String coverage_content_type "modelResult";
    String ioos_category "salinity";
  temperature {
    Int32 _ChunkSizes 1, 898, 398;
    Float64 colorBarMaximum 20.0;
    Float64 colorBarMinimum 4.0;
    String coverage_content_type "modelResult";
    String ioos_category "temperature";
    String acknowledgement "MEOPAR, ONC, Compute 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.

Reference wording:

3 month seasonal-averaged 2d depth-averaged salinity and water temperature fields from the SalishSeaCast model
(Soontiens et al, 2016; Soontiens and Allen, 2017)
were downloaded from their ERDDAP server
on DATE from dataset ubcSSg2DTracerFieldsSeasonalV17-02.


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.

Soontiens, N. and Allen, S., 2017.
Modelling sensitivities to mixing and advection in a sill-basin estuarine system. Ocean Modelling, 112, 17-32.
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creator_email "sallen@eoas.ubc.ca";
    String creator_name "Salish Sea MEOPAR Project Contributors";
    String creator_url "https://salishsea-meopar-docs.readthedocs.io/";
    String description "depth-averaged seasonal average T grid variables";
    String drawLandMask "over";
    String history 
"2022-05-28T19:18:32Z (local files)
2022-05-28T19:18:32Z https://salishsea.eos.ubc.ca/griddap/ubcSSg2DTracerFieldsSeasonalV17-02.das";
    String infoUrl "https://salishsea-meopar-docs.readthedocs.io/en/latest/results_server/index.html#salish-sea-model-results";
    String institution "UBC EOAS";
    String institution_fullname "Earth, Ocean & Atmospheric Sciences, University of British Columbia";
    String keywords "conservative temperature, Earth Science > Oceans > Ocean Temperature > Conservative Temperature, Earth Science > Oceans > Salinity/Density > Salinity, grid, ocean, oceans, reference salinity, sea water, sea_water_conservative_temperature, sea_water_reference_salinity, seawater, time_counter, vosaline, votemper, water";
    String license 
"The Salish Sea MEOPAR NEMO model results are copyright
by the Salish Sea MEOPAR 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";
    Int32 nco_openmp_thread_number 1;
    String project "Salish Sea MEOPAR NEMO Model";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary 
"Green, Salish Sea, 2d Depth-averaged Tracer Fields, Seasonal, v17-02

2d depth-averaged salinity and water temperature field values
averaged over 3 month seasonal intervals from Salish Sea NEMO model nowcast runs.
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.
The variable values are averaged over the upper 22 layers of the model grid,
approximately 0 to 30 metres depth.
Geo-location and depth data for the Salish Sea NEMO model grid are available in the ubcSSnBathymetry2V17-02 dataset.

v17-02: NEMO-3.6; ubcSSnBathymetryV17-02 bathymetry; see infoUrl link for full details:
  reference salinity and conservative temperature variables";
    String time_coverage_end "2017-10-16T12:00:00Z";
    String time_coverage_start "2015-01-15T00:00:00Z";
    String timeStamp "2017-Jun-30 16:04:14 GMT";
    String title "Green, Salish Sea, 2d Depth-averaged Tracer Fields, Seasonal, v17-02";


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
For example,
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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