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Dataset Title:  Forecast, Salish Sea, 3d v Grid Variable Fields, Hourly Subscribe RSS
Institution:  UBC EOAS   (Dataset ID: ubcSSf3DvGridFields1h)
Information:  Summary ? | License ? | Metadata | Background | Data Access Form
 
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gridX (count) ?     specify just 1 value →
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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 1.7330994e+9, 1.7337438e+9;
    String axis "T";
    String calendar "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 the 00:00 to 01:00 UTC hour on 2021-06-03 have a time value of 2021-06-03 00:30:00Z";
    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";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    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 {
    Int16 actual_range 0, 897;
    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 ubcSSnBathymetry2V17-02 dataset.";
    String coverage_content_type "modelResult";
    String ioos_category "location";
    String long_name "Grid Y";
    String standard_name "y";
    String units "count";
  }
  gridX {
    Int16 actual_range 0, 397;
    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 ubcSSnBathymetry2V17-02 dataset.";
    String coverage_content_type "modelResult";
    String ioos_category "location";
    String long_name "Grid X";
    String standard_name "x";
    String units "count";
  }
  vVelocity {
    Float32 _FillValue 1.0e+20;
    Float64 colorBarMaximum 8.0;
    Float64 colorBarMinimum -8.0;
    String coverage_content_type "modelResult";
    String ioos_category "currents";
    String long_name "Ocean Current Along y-axis";
    Float32 missing_value 1.0e+20;
    String standard_name "sea_water_y_velocity";
    String units "m s-1";
  }
  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.

Reference wording:

Forecasted 3d meridional (v) component velocity fields from the SalishSeaCast model
(Soontiens et al, 2016; Soontiens and Allen, 2017)
were downloaded from their ERDDAP server
(https://salishsea.eos.ubc.ca/erddap/)
on DATE from dataset ubcSSf3DvGridFields1h.

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";
    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 "V velocity";
    String drawLandMask "over";
    String history 
"2024-12-08T00:05:03Z (local files)
2024-12-08T00:05:03Z https://salishsea.eos.ubc.ca/griddap/ubcSSf3DvGridFields1h.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 "circulation, current, currents, depthv, Earth Science > Oceans > Ocean Circulation > Ocean Currents, ocean, oceans, sea, sea_water_y_velocity, seawater, time_counter, v grid, v velocity component, velocity along y-axis, vomecrty";
    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 
"Forecast, Salish Sea, 3d v Grid Variable Fields, Hourly

Forecasted 3d meridional (v) component velocity field values averaged over 1 hour intervals
from the most recent SalishSeaCast NEMO model forecast run. 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 the 00:00 to 01:00 UTC hour on 2021-06-03 have a time value of 2021-06-03 00:30:00Z.
Geo-location and depth data for the SalishSeaCast NEMO model grid are available in the ubcSSnBathymetry2V17-02 dataset.

This dataset is updated daily to move it forward 1 day in time.
It starts at 00:30:00 UTC 5 days prior to the most recently completed forecast run,
and extends to 11:30:00 UTC on the 2nd day after the forecast run date.
So, for example, after completion of the 10-Nov-2017 forecast run,
this dataset included data from 2017-11-05 00:30:00 UTC to 2017-11-12 11:30:00 UTC.

v17-02: NEMO-3.6; ubcSSnBathymetryV17-02 bathymetry; see infoUrl link for full details: vVelocity variable
v18-06: NEMO-3.6 SalishSeaCast-201806 configuration; ubcSSnBathymetry2V17-02 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.";
    String testOutOfDate "now+24hours";
    String time_coverage_end "2024-12-09T11:30:00Z";
    String time_coverage_start "2024-12-02T00:30:00Z";
    String timeStamp "2024-Dec-07 16:26:08 GMT";
    String title "Forecast, Salish Sea, 3d v Grid Variable Fields, Hourly";
  }
}

 

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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