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Dataset Title:  Monthly NOAA-CIRES 20th Century Reanalysis V2 (Top Dataset, monolevel, weasd.
mon.mean), 1871-2012
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Institution:  NOAA ESRL/PSD   (Dataset ID: noaa_esrl_7683_5a15_777d)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Make a graph
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (UTC) ?      1704    30 days 10h 29m 6s (uneven)
  < slider >
 latitude (degrees_north) ?      94    -1.904129 (uneven)
  < slider >
 longitude (degrees_east) ?      192    1.875 (even)
  < slider >
Grid Variables (which always also download all of the dimension variables)
 weasd (Monthly Water Equiv. of Accum. Snow Depth at surface, kg/m^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 -3.1241376e+9, 1.35432e+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 -88.542, 88.542;
    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 0.0, 358.125;
    String axis "X";
    String coordinate_defines "point";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  weasd {
    Float32 actual_range 0.0, 11861.85;
    String cell_methods "time: mean (monthly from 3-hourly values)";
    Float64 colorBarMaximum 200.0;
    Float64 colorBarMinimum 0.0;
    Int16 GRIB_id 65;
    String GRIB_name "WEASDsfcFcst";
    String ioos_category "Ice Distribution";
    String level_desc "Surface";
    String long_name "Monthly Water Equiv. of Accum. Snow Depth at surface";
    Float32 missing_value -9.96921e+36;
    String parent_stat "Individual Obs";
    Int16 precision 0;
    String standard_name "surface_snow_amount";
    String statistic "Ensemble Mean";
    String statistic_method "Ensemble mean is calculated by averaging over all 56 ensemble members at each time step and then averaging mean over all time steps in a month";
    String units "kg/m^2";
    Float32 valid_range 0.0, 65530.0;
    String var_desc "Water Equiv. of Accum. Snow Depth";
    String cdm_data_type "Grid";
    String citation 
"Compo,G.P. <>, 
J.S. Whitaker <>,
 and P.D. Sardeshmukh, 2006: Feasibility of a 100 year reanalysis using
only surface pressure data.
/Bull. Amer. Met. Soc./, 87, 175-190.";
    String comment 
"Data is from 
NOAA-CIRES 20th Century Reanalysis version 2
(8x/day).  It consists of most variables interpolated to
pressure surfaces from model (sigma) surfaces.";
    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 "NOAA-CIRES 20th Century Reanalysis (V2)";
    Float64 Easternmost_Easting 358.125;
    Float64 geospatial_lat_max 88.542;
    Float64 geospatial_lat_min -88.542;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 358.125;
    Float64 geospatial_lon_min 0.0;
    Float64 geospatial_lon_resolution 1.875;
    String geospatial_lon_units "degrees_east";
    String history 
"created by NOAA/ESRL/PSD web&data
Converted to chunked, deflated non-packed NetCDF4 2014/05
    String id "Datasets/20thC_ReanV2/Monthlies/gaussian/monolevel/weasd.mon.mean.nc";
    String infoUrl "";
    String institution "NOAA ESRL/PSD";
    String keywords "20th, accum, amount, atmosphere, century, cires, cooperative, cryosphere, data, dataset, depth, distribution, division, earth, Earth Science > Atmosphere > Precipitation > Snow, Earth Science > Cryosphere > Snow/Ice > Snow Depth, Earth Science > Terrestrial Hydrosphere > Snow/Ice > Snow Depth, environmental, equiv, esrl, hydrosphere, ice, ice distribution, institute, laboratory, latitude, longitude, monolevel, month, monthly, noaa, noaa-cires, physical, precipitation, psd, rain, rainfall, reanalysis, research, science, sciences, snow, surface, surface_snow_amount, system, terrestrial, time, top, water, weasd, weasd.mon.mean";
    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 88.542;
    String references "";
    String sourceUrl "";
    Float64 Southernmost_Northing -88.542;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary 
"Monthly NOAA-Cooperative Institute for Research in Environmental Sciences (CIRES) 20th Century Reanalysis V2. Data is from 
NOAA-CIRES 20th Century Reanalysis version 2
(8x/day).  It consists of most variables interpolated to
pressure surfaces from model (sigma) surfaces.";
    String time_coverage_end "2012-12-01T00:00:00Z";
    String time_coverage_start "1871-01-01T00:00:00Z";
    String title "Monthly NOAA-CIRES 20th Century Reanalysis V2 (Top Dataset, monolevel, weasd.mon.mean), 1871-2012";
    String version "2.0";
    Float64 Westernmost_Easting 0.0;


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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