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Dataset Title:  SODA - POP 2.2.4 Monthly Means, 1871-2010 (At Surface) Subscribe RSS
Institution:  TAMU/UMD   (Dataset ID: hawaii_3e19_7ccd_16ff)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Make a graph
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (Centered Time, UTC) ?      1680    30 days 10h 28m 40s (uneven)
  < slider >
 latitude (degrees_north) ?      330    0.5 (even)
  < slider >
 longitude (degrees_east) ?      720    0.5 (even)
  < slider >
Grid Variables (which always also download all of the dimension variables) 
 taux (Zonal Wind Stress, Pa) ?
 tauy (Meridional Wind Stress, Pa) ?
 ssh (Sea Level, m) ?

File type: (more information)

(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 {
    String _CoordinateAxisType "Time";
    Float64 actual_range -3.122928e+9, 1.2923712e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Centered 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";
    Float64 actual_range -75.25, 89.25;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range 0.25, 359.75;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  taux {
    Float32 _FillValue -9.99e+33;
    Float64 colorBarMaximum 0.5;
    Float64 colorBarMinimum -0.5;
    String ioos_category "Wind";
    String long_name "Zonal Wind Stress";
    Float32 missing_value -9.99e+33;
    String standard_name "surface_downward_eastward_stress";
    String units "Pa";
  tauy {
    Float32 _FillValue -9.99e+33;
    Float64 colorBarMaximum 0.5;
    Float64 colorBarMinimum -0.5;
    String ioos_category "Wind";
    String long_name "Meridional Wind Stress";
    Float32 missing_value -9.99e+33;
    String standard_name "surface_downward_northward_stress";
    String units "Pa";
  ssh {
    Float32 _FillValue -9.99e+33;
    Float64 colorBarMaximum 10.0;
    Float64 colorBarMinimum -10.0;
    String ioos_category "Sea Level";
    String long_name "Sea Level";
    Float32 missing_value -9.99e+33;
    String units "m";
    String cdm_data_type "Grid";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String dataType "Grid";
    String defaultGraphQuery "&.draw=vectors";
    String documentation "";
    Float64 Easternmost_Easting 359.75;
    Float64 geospatial_lat_max 89.25;
    Float64 geospatial_lat_min -75.25;
    Float64 geospatial_lat_resolution 0.5;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 359.75;
    Float64 geospatial_lon_min 0.25;
    Float64 geospatial_lon_resolution 0.5;
    String geospatial_lon_units "degrees_east";
    String history 
"Tue Apr 30 05:42:52 HST 2024 : imported by GrADS Data Server 2.0
    String infoUrl "";
    String institution "TAMU/UMD";
    String keywords "atmosphere, atmospheric, downward, Earth Science > Atmosphere > Atmospheric Winds > Wind Stress, Earth Science > Oceans > Sea Surface Topography > Sea Surface Height, eastward, height, level, means, meridional, monthly, northward, oceans, pop, sea, sea level, sea_surface_height, soda, stress, surface, surface_downward_eastward_stress, surface_downward_northward_stress, tamu, topography, umd, wind, winds, 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.";
    Float64 Northernmost_Northing 89.25;
    String sourceUrl "";
    Float64 Southernmost_Northing -75.25;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary 
"Simple Ocean Data Assimilation (SODA) version 2.2.4 - A reanalysis of ocean 
climate. SODA uses the GFDL modular ocean model version 2.2. The model is 
forced by observed surface wind stresses from the COADS data set (from 1958 
to 1992) and from NCEP (after 1992). Note that the wind stresses were 
detrended before use due to inconsistencies with observed sea level pressure 
trends. The model is also constrained by constant assimilation of observed 
temperatures, salinities, and altimetry using an optimal data assimilation 
technique. The observed data comes from: 1) The World Ocean Atlas 1994 which 
contains ocean temperatures and salinities from mechanical 
bathythermographs, expendable bathythermographs and conductivity-temperature-
depth probes. 2) The expendable bathythermograph archive 3) The TOGA-TAO 
thermistor array 4) The Soviet SECTIONS tropical program 5) Satellite 
altimetry from Geosat, ERS/1 and TOPEX/Poseidon. 
We are now exploring an eddy-permitting reanalysis based on the Parallel 
Ocean Program POP-1.4 model with 40 levels in the vertical and a 0.4x0.25 
degree displaced pole grid (25 km resolution in the western North 
Atlantic).  The first version of this we will release is SODA1.2, a 
reanalysis driven by ERA-40 winds covering the period 1958-2001 (extended to 
the current year using available altimetry).";
    String time_coverage_end "2010-12-15T00:00:00Z";
    String time_coverage_start "1871-01-15T00:00:00Z";
    String title "SODA - POP 2.2.4 Monthly Means, 1871-2010 (At Surface)";
    Float64 Westernmost_Easting 0.25;


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{?query}
For example,[(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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