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Dataset Title:  Green, Salish Sea, 3d v Grid Variable Fields, Monthly, v19-05 Subscribe RSS
Institution:  UBC EOAS   (Dataset ID: ubcSSg3DvGridFields1moV19-05)
Information:  Summary ? | License ? | Metadata | Background | Data Access Form
 
Graph Type:  ?
X Axis:  ?
Y Axis:  ?
Color:  ?
 
Dimensions ?    Start ?    Stop ?
time (UTC) ?
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    >>
< slider >
depth (m) ?     specify just 1 value →
    << -
< <
gridY (count) ?     specify just 1 value →
    << -
< <
gridX (count) ?     specify just 1 value →
    << -
< <
 
Graph Settings
Marker Type:   Size: 
Color: 
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.)
 
Optional:
Then set the File Type: (File Type information)
and
or view the URL:
(Documentation / Bypass this form ? )
    Time range:    <<    -              
[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 {
    Int32 _ChunkSizes 1;
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.1689488e+9, 1.60812e+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; e.g. the field average values for January 2007 have a time value of 2007-01-16 12:00:00Z";
    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 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 {
    Int32 _ChunkSizes 1, 40, 898, 398;
    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";
  }
  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:

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 ubcSSg3DvGridFields1moV19-05.

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 "ocean V grid variables";
    String drawLandMask "over";
    String history 
"2024-12-08T00:47:22Z (local files)
2024-12-08T00:47:22Z https://salishsea.eos.ubc.ca/griddap/ubcSSg3DvGridFields1moV19-05.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, 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";
    Int32 nco_openmp_thread_number 1;
    String project "SalishSeaCast NEMO Model";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary 
"Green, Salish Sea, 3d v Grid Variable Fields, Monthly, v19-05

Variable values at the 3d meridional (v) component velocity grid points 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 ubcSSnBathymetryV17-02 dataset.

v19-05: vVelocity variable.
        NEMO-3.6 SalishSeaCast-201905 configuration; ubcSSnBathymetryV17-02 bathymetry;
        see infoUrl link for full details.";
    String time_coverage_end "2020-12-16T12:00:00Z";
    String time_coverage_start "2007-01-16T12:00:00Z";
    String timeStamp "2020-Apr-01 17:11:38 GMT";
    String title "Green, Salish Sea, 3d v Grid Variable Fields, Monthly, v19-05";
    String uuid "ceed2a74-5083-482f-bb92-858bab8a18e3";
  }
}

 

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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