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Dataset Title:  LTMs1950-1979, vpstr.ltm (COADS1), 2.0°, 0001 Subscribe RSS
Institution:  NOAA ESRL   (Dataset ID: noaa_esrl_abef_8595_c17c)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Make a graph
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (UTC) ?      12    30 days 8h 43m 38s (uneven)
  < slider >
 latitude (degrees_north) ?      90    -2.0 (even)
  < slider >
 longitude (degrees_east) ?      180    2.0 (even)
  < slider >
Grid Variables (which always also download all of the dimension variables)
 vpstr (v-wind pseudoStress Monthly Long Term Mean at Surface, m^2/s^2) ?

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 {
    String _CoordinateAxisType "Time";
    Float64 actual_range -6.21357696e+10, -6.2106912e+10;
    String avg_period "0030-00-00 00:00:00";
    String axis "T";
    String delta_t "0000-01-00 00:00:00";
    String ioos_category "Time";
    String long_name "Time";
    Float64 ltm_range 54786.0, 65712.0;
    String prev_avg_period "0000-01-00 00:00:00";
    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 -89.0, 89.0;
    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 1.0, 359.0;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  vpstr {
    Float32 actual_range -373.1, 357.4;
    Float64 colorBarMaximum 0.5;
    Float64 colorBarMinimum -0.5;
    String ioos_category "Wind";
    String level_desc "Surface";
    String long_name "v-wind pseudoStress Monthly Long Term Mean at Surface";
    Float32 missing_value 6180.1;
    String parent_stat "Mean";
    Int16 precision 1;
    String standard_name "surface_downward_northward_stress";
    String statistic "Long Term Mean";
    String units "m^2/s^2";
    Float32 valid_range -3000.0, 3000.0;
    String var_desc "v-wind pseudoStress";
    String cdm_data_type "Grid";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "";
    String creator_name "NOAA ESRL PSD";
    String creator_type "institution";
    String creator_url "";
    String dataset_title "International Comprehensive Ocean-Atmosphere Data Set (ICOADS) v2.5";
    Float64 Easternmost_Easting 359.0;
    Float64 geospatial_lat_max 89.0;
    Float64 geospatial_lat_min -89.0;
    Float64 geospatial_lat_resolution 2.0;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 359.0;
    Float64 geospatial_lon_min 1.0;
    Float64 geospatial_lon_resolution 2.0;
    String geospatial_lon_units "degrees_east";
    String history 
"fixstress Tue Aug 24 09:40:43 1999 from
/home/hoop/crdc/oldCRDC2COARDSv3/oldCRDC2COARDS Sun Dec 10 01:20:48 1995 from
doltmchgs Fri Jul 15 12:55:32 1994 from /crdc7/coads1/
Fixcdfs Fri May 27 18:52:16 1994 from /crdc7/coads1/
Fixcdfs Fri May 27 14:10:02 1994 from /crdc7/coads1/
Fixcdfs Fri May 27 12:30:38 1994 from /crdc7/coads1/
convert2new.shorts Thu Aug 19 18:02:07 1993 from /data5/hoop/coads1.ltms/oldfiles/vstr.ltm (vstr) 
CRDtools Pack Thu Dec  3 11:39:32 1992 from vstr.ltm.conv (vstr)
COADS v-wind stress (Y) Monthly Long term mean
CRDtools Conversion Thu Dec  3 11:33:57 1992 from vstr.ltm
EXTRACT.  92/12/02. 15.51.05. FROM ZYACM70-A
COADS  v-wind stress (Y)  Long term mean
Long-term mean files were constructed at CDC from the COADS1 monthly means for 1950-79.
    String id "";
    String infoUrl "";
    String institution "NOAA ESRL";
    String keywords "atmosphere, atmospheric, coads1, comprehensive, data, downward, earth, Earth Science > Atmosphere > Atmospheric Winds > Wind Stress, esrl, laboratory, latitude, long, longitude, ltms1950, ltms1950-1979, mean, month, monthly, noaa, northward, ocean, pseudostress, research, science, set, stress, surface, surface_downward_northward_stress, system, term, time, v-wind, vpstr, vpstr.ltm, wind, winds";
    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 89.0;
    String platform "Ship Observations";
    String references "";
    String sourceUrl "";
    Float64 Southernmost_Northing -89.0;
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary "Comprehensive Ocean Atmosphere Data Set 1 (COADS1) (LTMs1950-1979, vpstr.ltm)";
    String time_coverage_end "0001-12-01T00:00:00Z";
    String time_coverage_start "0001-01-01T00:00:00Z";
    String title "LTMs1950-1979, vpstr.ltm (COADS1), 2.0°, 0001";
    Float64 Westernmost_Easting 1.0;


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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