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Dataset Title:  Data from a local source. Subscribe RSS
Institution:  ???   (Dataset ID: PWS_L2_FCST)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Make a graph
 
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (UTC) ?      30442    1h 8m 58s (uneven)
  < slider >
 depth (m) ?      16    20.0 (uneven)
  < slider >
 latitude (degrees_north) ?      153    0.01 (even)
  < slider >
 longitude (degrees_east) ?      347    0.01 (even)
  < slider >
 
Grid Variables (which always also download all of the dimension variables)
 temp (Temperature, degree_Celsius) ?
 salt (Salinity, 1e-3) ?
 u (Zonal Current, m.s-1) ?
 v (Meridional Current, m.s-1) ?

File type: (more info)

(Documentation / Bypass this form) ?
 
(Please be patient. It may take a while to get the data.)


 

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    Int32 _ChunkSizes 1024;
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.3963104e+9, 1.522278e+9;
    String axis "T";
    String calendar "standard";
    String ioos_category "Time";
    String long_name "Time";
    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 0.0, 300.0;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 59.68, 61.2;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 211.75, 215.21;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  temp {
    Int32 _ChunkSizes 1, 16, 153, 347;
    Float32 _FillValue -9999.0;
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String coverage_content_type "modelResult";
    String ioos_category "Temperature";
    String long_name "Temperature";
    Float32 missing_value -9999.0;
    String standard_name "sea_water_potential_temperature";
    String units "degree_Celsius";
  }
  salt {
    Int32 _ChunkSizes 1, 16, 153, 347;
    Float32 _FillValue -9999.0;
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String coverage_content_type "modelResult";
    String ioos_category "Salinity";
    String long_name "Salinity";
    Float32 missing_value -9999.0;
    String standard_name "sea_water_practical_salinity";
    String units "1e-3";
  }
  u {
    Int32 _ChunkSizes 1, 16, 153, 347;
    Float32 _FillValue -9999.0;
    Float64 colorBarMaximum 0.5;
    Float64 colorBarMinimum -0.5;
    String coverage_content_type "modelResult";
    String ioos_category "Currents";
    String long_name "Zonal Current";
    Float32 missing_value -9999.0;
    String standard_name "eastward_sea_water_velocity";
    String units "m.s-1";
  }
  v {
    Int32 _ChunkSizes 1, 16, 153, 347;
    Float32 _FillValue -9999.0;
    Float64 colorBarMaximum 0.5;
    Float64 colorBarMinimum -0.5;
    String coverage_content_type "modelResult";
    String ioos_category "Currents";
    String long_name "Meridional Current";
    Float32 missing_value -9999.0;
    String standard_name "northward_sea_water_velocity";
    String units "m.s-1";
  }
  NC_GLOBAL {
    String _CoordSysBuilder "ucar.nc2.dataset.conv.CF1Convention";
    String acknowledgement "This model is operated by UCLA and Remote Sensing Solutions Incd.";
    String cdm_data_type "Grid";
    String comment "The ROMS model is described in detail at: https://www.myroms.org/For differences between ROMS models, see Shchepetkin, A.F., and J.C. McWilliams, 2009: Correction and Commentary for `Ocean Forecasting in Terrain-Following Coordinates: Formulation and Skill Assessment of the Regional Ocean Modeling System`by Haidvogel et al., J. Comp. Phys. 227, pp. 3595-3624. J. Comp. Phys., 228, 8985-9000.";
    String Conventions "COARDS, CF-1.6, Unidata Dataset Discovery v1.0";
    String creator_email "ychao@remotesensingsolutions.com";
    String creator_name "Yi Chao";
    String creator_url "http://www.remotesensingsolutions.com/about/bio_Chao.php";
    Float64 Easternmost_Easting 215.21;
    Float64 geospatial_lat_max 61.2;
    Float64 geospatial_lat_min 59.68;
    Float64 geospatial_lat_resolution 0.010000000000000021;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 215.21;
    Float64 geospatial_lon_min 211.75;
    Float64 geospatial_lon_resolution 0.010000000000000023;
    String geospatial_lon_units "degrees_east";
    String history 
"Fri Nov 25 16:11:50 2016: ncatted -O -aunits,depth,o,c,meters /shared/ocean/PWS/data/fcst/pws_fcst_2016112506.nc
Fri Nov 25 09:17:40 2016: ncatted -O -aunits,depth,o,c,meters /shared/ocean/PWS/data/fcst/pws_fcst_2016112506.nc
2018-08-17T22:54:21Z (local files)
2018-08-17T22:54:21Z http://erddap.axiomdatascience.com/erddap/griddap/PWS_L2_FCST.das";
    String id "pws-forecast-1km";
    String infoUrl "???";
    String institution "???";
    String keywords "circulation, current, currents, data, density, Earth Science > Oceans > Ocean Circulation > Ocean Currents, Earth Science > Oceans > Ocean Temperature > Water Temperature, Earth Science > Oceans > Salinity/Density > Salinity, eastward, eastward_sea_water_velocity, local, meridional, northward, northward_sea_water_velocity, ocean, oceans, salinity, sea, sea_water_salinity, sea_water_temperature, seawater, source, temperature, velocity, water, zonal";
    String keywords_vocabulary "GCMD Science Keywords";
    String license 
"The data may be used and redistributed for free but is not intended
for legal use, since it may contain inaccuracies. Neither the data
Contributor, ERD, NOAA, nor the United States Government, nor any
of their employees or contractors, makes any warranty, express or
implied, including warranties of merchantability and fitness for a
particular purpose, or assumes any legal liability for the accuracy,
completeness, or usefulness, of this information.";
    String Metadata_Conventions "COARDS, CF-1.6, Unidata Dataset Discovery v1.0";
    String metadata_link "https://portal.aoos.org/#search?q=PWS%20ROMS";
    String model "Prince William Sound ROMS";
    String naming_authority "org.aoos";
    Float64 Northernmost_Northing 61.2;
    String project "Alaska Ocean Observing System (AOOS) Prince William Sound Modeling";
    String publisher_email "axiom@axds.co";
    String publisher_name "Alaska Ocean Observing System (AOOS)";
    String publisher_url "http://www.aoos.org/";
    String source "http://remotesensingsolutions.com";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 59.68;
    String standard_name_vocabulary "CF-12";
    String summary "Data from a local source.";
    String time_coverage_end "2018-03-28T23:00:00Z";
    String time_coverage_start "2014-04-01T00:00:00Z";
    String title "Data from a local source.";
    String type "1km (L2)";
    Float64 Westernmost_Easting 211.75;
  }
}

 

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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