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Dataset Title:  Top Dataset, cpcsoil, soilw.mon.mean.v2 (CPC Soil Moisture), 0.5°, 1948-present Subscribe RSS
Institution:  NOAA/ESRL PSD   (Dataset ID: noaa_esrl_a622_b362_7876)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Make a graph
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (UTC) ?      847    30 days 10h 28m 5s (uneven)
  < slider >
 latitude (degrees_north) ?      360    -0.5 (even)
  < slider >
 longitude (degrees_east) ?      720    0.5 (even)
  < slider >
Grid Variables (which always also download all of the dimension variables)
 soilw (Model-Calculated Monthly Mean Soil Moisture, mm) ?

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 -6.943104e+8, 1.5304032e+9;
    String avg_period "0000-01-00 00:00:00";
    String axis "T";
    String coordinate_defines "start";
    String delta_t "0000-01-00 00:00:00";
    String ioos_category "Time";
    String long_name "Time";
    String prev_avg_period "0000-00-01 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 -89.75, 89.75;
    String axis "Y";
    String coordinate_defines "point";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 0.25, 359.75;
    String axis "X";
    String coordinate_defines "point";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  soilw {
    Float32 actual_range 0.0, 756.0046;
    String cell_methods "time: mean (monthly from values)";
    Float64 colorBarMaximum 800.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Soils";
    String level_desc "Surface";
    String long_name "Model-Calculated Monthly Mean Soil Moisture";
    Float32 missing_value -9.96921e+36;
    String parent_stat "Other";
    String standard_name "lwe_thickness_of_soil_moisture_content";
    String statistic "Monthly Mean";
    String units "mm";
    Float32 valid_range 0.0, 1000.0;
    String var_desc "Soil Moisture";
    String cdm_data_type "Grid";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creator_email "";
    String creator_name "NOAA ESRL PSD";
    String creator_type "institution";
    String creator_url "";
    String dataset_title "CPC Soil Moisture";
    Float64 Easternmost_Easting 359.75;
    Float64 geospatial_lat_max 89.75;
    Float64 geospatial_lat_min -89.75;
    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 
"Wed Oct 18 15:13:37 2017: ncks -d time,,-2
Wed Oct 18 15:12:08 2017: ncks -d time,,-3
CPC Soil Moisture
 Obtained on Nov 2004 from CPC's website
 and written to netCDF by Cathy Smith 12/2004.
 he CPC Global monthly soil moisture dataset is a 1/2 degree resolution grid from 1948 to the present.
 The file is written in COARDS and CF compliant netCDF at NOAA ESRL/PSD 
 Converted to chunked, deflated non-packed NetCDF4 Jul 2014
    String id "Datasets/cpcsoil/soilw.mon.mean.v2.nc";
    String infoUrl "";
    String institution "NOAA/ESRL PSD";
    String keywords "calculated, center, climate, content, cpc, cpcsoil, data, dataset, division, earth, Earth Science > Land Surface > Soils > Soil Moisture/Water Content, esrl, laboratory, land, latitude, longitude, lwe, lwe_thickness_of_soil_moisture_content, mean, model, model-calculated, moisture, month, monthly, noaa, physical, prediction, psd, research, science, sciences, soil, soils, soilw, soilw.mon.mean.v2, surface, system, thickness, time, top, water";
    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 "4.6.9";
    Float64 Northernmost_Northing 89.75;
    String references "";
    String sourceUrl "";
    Float64 Southernmost_Northing -89.75;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Climate Prediction Center (CPC) Soil Moisture (Top Dataset, cpcsoil, soilw.mon.mean.v2)";
    String testOutOfDate "now-86days";
    String time_coverage_end "2018-07-01T00:00:00Z";
    String time_coverage_start "1948-01-01T00:00:00Z";
    String title "Top Dataset, cpcsoil, soilw.mon.mean.v2 (CPC Soil Moisture), 0.5°, 1948-present";
    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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