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Dataset Title:  FNMOC Wind and Ekman Transport Data, 360x180, Monthly, from 6-hr Pressure,
Lon+/-180
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Institution:  FNMOC, NOAA ERD   (Dataset ID: erdlasFnWPr_LonPM180)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form
 
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Y Axis:  ?
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Vector Y:  ?
 
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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 -9.33552e+7, 1.7080848e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "reference time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range -89.5, 89.5;
    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 -179.5, 179.5;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  pmsl {
    Float32 _FillValue -9999.0;
    Float64 colorBarMaximum 1050.0;
    Float64 colorBarMinimum 950.0;
    String ioos_category "Pressure";
    String long_name "Pressure Reduced To MSL";
    String standard_name "air_pressure";
    String units "Mb";
  }
  u_mean {
    Float32 _FillValue -9999.0;
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum -15.0;
    String ioos_category "Wind";
    String long_name "East-West Component of Surface Wind";
    String standard_name "x_wind";
    String units "m s-1";
  }
  v_mean {
    Float32 _FillValue -9999.0;
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum -15.0;
    String ioos_category "Wind";
    String long_name "North-South Component of Surface Wind";
    String standard_name "y_wind";
    String units "m s-1";
  }
  uv_mag_mean {
    Float32 _FillValue -9999.0;
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Wind";
    String long_name "Magnitude of Surface Wind";
    String standard_name "wind_speed";
    String units "m s-1";
  }
  taux_mean {
    Float32 _FillValue -9999.0;
    Float64 colorBarMaximum 0.5;
    Float64 colorBarMinimum -0.5;
    String ioos_category "Wind";
    String long_name "East-West Component of Wind Stress";
    String standard_name "surface_downward_eastward_stress";
    String units "N m-2";
  }
  tauy_mean {
    Float32 _FillValue -9999.0;
    Float64 colorBarMaximum 0.5;
    Float64 colorBarMinimum -0.5;
    String ioos_category "Wind";
    String long_name "North-South Component of Wind Stress";
    String standard_name "surface_downward_northward_stress";
    String units "N m-2";
  }
  curl {
    Float32 _FillValue -9999.0;
    Float64 colorBarMaximum 3.0;
    Float64 colorBarMinimum -3.0;
    String ioos_category "Wind";
    String long_name "Curl of Surface Wind Stress";
    String units "MPa m-1";
  }
  ektrx {
    Float32 _FillValue -9999.0;
    Float64 colorBarMaximum 10000.0;
    Float64 colorBarMinimum -10000.0;
    String ioos_category "Currents";
    String long_name "East-West Component of Ekman Transport";
    String units "kg m-1 s-1";
  }
  ektry {
    Float32 _FillValue -9999.0;
    Float64 colorBarMaximum 10000.0;
    Float64 colorBarMinimum -10000.0;
    String ioos_category "Currents";
    String long_name "North-South Component of Ekman Transport";
    String units "kg m-1 s-1";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String defaultGraphQuery "&.draw=vectors";
    Float64 Easternmost_Easting 179.5;
    Float64 geospatial_lat_max 89.5;
    Float64 geospatial_lat_min -89.5;
    Float64 geospatial_lat_resolution 1.0;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 179.5;
    Float64 geospatial_lon_min -179.5;
    Float64 geospatial_lon_resolution 1.0;
    String geospatial_lon_units "degrees_east";
    String history 
"Tue Mar 15 13:53:25 2022: ncks -d time_series,,-62 wind_from_pressure.this_month_bad.nc wind_from_pressure_redo.nc
Thu Aug  5 21:38:17 2021: ncks -d time_series,,-2 wind_from_pressure.nc wind_from_pressure_truncate.nc
2024-03-19T08:52:08Z https://oceanview.pfeg.noaa.gov/thredds/dodsC/FNMOC/wind_from_pressure.nc
2024-03-19T08:52:08Z http://coastwatch.pfeg.noaa.gov/griddap/erdlasFnWPr_LonPM180.das";
    String infoUrl "https://www.pfeg.noaa.gov/products/PFEL/modeled/holdings.html";
    String institution "FNMOC, NOAA ERD";
    String keywords "360x180, 6-hr, air, air_pressure, atmosphere, atmospheric, component, curl, currents, data, downward, Earth Science > Atmosphere > Atmospheric Pressure > Atmospheric Pressure Measurements, Earth Science > Atmosphere > Atmospheric Pressure > Sea Level Pressure, Earth Science > Atmosphere > Atmospheric Pressure > Static Pressure, Earth Science > Atmosphere > Atmospheric Winds > Surface Winds, Earth Science > Atmosphere > Atmospheric Winds > Wind Stress, east, east-west, eastward, ekman, erd, fnmoc, from, level, magnitude, measurements, monthly, msl, noaa, north, north-south, northward, pressure, reduced, sea, south, speed, static, stress, surface, surface_downward_eastward_stress, surface_downward_northward_stress, transport, west, wind, wind_speed, winds, x_wind, y_wind";
    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 NCO "4.4.2";
    Float64 Northernmost_Northing 89.5;
    String sourceUrl "https://oceanview.pfeg.noaa.gov/thredds/dodsC/FNMOC/wind_from_pressure.nc";
    Float64 Southernmost_Northing -89.5;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary 
"Global monthly derived winds and Ekman transports can be obtained for any
point on the ocean (Northern Hemisphere: 1967 - present, Southern Hemisphere:
1981 - present).

ERD was established at the U.S. Navy Fleet Numerical Meteorology and
Oceanography Center (FNMOC) to take advantage of the Navy's global
oceanographic and meteorological databases. FNMOC produces operational
forecasts of the state of the atmosphere and the ocean several times daily
and maintains archives of several important parameters, such as sea level
pressure and temperature. ERD derives a number of well-known environmental
data and index products which are routinely distributed to researchers at
many state and federal laboratories, as well as to academic and international
researchers.";
    String time_coverage_end "2024-02-16T12:00:00Z";
    String time_coverage_start "1967-01-16T12:00:00Z";
    String title "FNMOC Wind and Ekman Transport Data, 360x180, Monthly, from 6-hr Pressure, Lon+/-180";
    Float64 Westernmost_Easting -179.5;
  }
}

 

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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