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Dataset Title:  daily mean 4x Daily NOAA-CIRES 20th Century Reanalysis V2c (pr
ltm), 0001
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Institution:  325 Broadway R/PSD1, Boulder, CO 80305   (Dataset ID: noaa_esrl_34f8_6fa1_9e4d)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form
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Y Axis:  ?
Color:  ?
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time (UTC) ?     specify just 1 value →
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latitude (degrees_north) ?
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longitude (degrees_east) ?
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   Minimum:   Maximum:   N Sections: 
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Y Axis Minimum:   Maximum:   Ascending: 
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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 -6.21357696e+10, -6.210432e+10;
    String avg_period "0030-00-00 00:00:00";
    String axis "T";
    String climatology "climatology_bounds";
    String climo_period "1981/01/01 - 2010/12/31";
    String coordinate_defines "point";
    String delta_t "0000-00-01 00:00:00";
    String ioos_category "Time";
    String long_name "Time";
    Float64 ltm_range 1586616.0, 1849560.0;
    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";
  pr_wtr {
    Float32 actual_range 0.08541667, 76.16542;
    Float64 colorBarMaximum 200.0;
    Float64 colorBarMinimum 0.0;
    String datum "wgs84";
    Int16 GRIB_id 54;
    String GRIB_name "PWATeatmFcst";
    String ioos_category "Meteorology";
    String level_desc "Entire Atmosphere Considered As a Single Layer";
    String long_name "daily Long Term Mean mean 3-hourly Precipitable Water for entire atmosphere";
    Float32 missing_value -9.96921e+36;
    String parent_stat "Mean";
    Int16 precision 2;
    String standard_name "atmosphere_water_vapor_content";
    String statistic "Long Term Mean";
    String statistic_method "Ensemble mean is calculated by averaging over all 56 ensemble members at each time step";
    String units "kg/m^2";
    Float32 valid_range -40.0, 160.0;
    String var_desc "Precipitable Water Content";
  valid_yr_count {
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Statistics";
    String long_name "count of non-missing values used in mean";
    Int16 missing_value 32767;
    String assimilation_algorithm "Ensemble Kalman Filter";
    String cdm_data_type "Grid";
    String citation 
"Compo,G.P. <>, 
J.S. Whitaker <>
P.D. Sardeshmukh, N.Matsui, R.J. Allan, X. Yin, B.E. Gleason, R.S. Vose, 
G. Rutledge, P. Bessemoulin, S. Bronnimann, M. Brunet, R.I. Crouthamel, 
A.N. Grant, P.Y. Groisman, P.D. Jones, M. Kruk, A.C. Kruger, G.J. Marshal, 
M. Maugeri, H.Y. Mok, O. Nordli, T.F. Ross, R.M. Trio, X.L. Wang, 
S.D. Woodruff, and S.J. Worley, 2011:  The Twentieth Century Reanalysis Project
Quarterly J. Roy. Meteorol. Soc./, 137, 1-28. DOI: 10.1002/qj.776.";
    String comment 
"Data is from 
NOAA-CIRES 20th Century Reanalysis version 2c
(4x/day).  It consists of most variables interpolated to
pressure surfaces from model (sigma) surfaces.";
    String contact "";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creation_date "2014-06-13T18:30:07Z";
    String creator_email "";
    String creator_name "NOAA ESRL PSD";
    String creator_type "institution";
    String creator_url "";
    String dataset_title "NOAA-CIRES 20th Century Reanalysis (V2c)";
    Float64 Easternmost_Easting 358.125;
    String forcing 
"CO2, Sl, Vl, SST, Oz (Oz is prognostic, SST is SODAsi.2c, Sl starts in 1944 
repeating 11 year solar cycle prior, Vl is Sato et al. 1993)";
    String forcing_note 
"Additional information on the external forcings uses in this 
reanalysis can be found at http://dx.doi.rog/10.1002/qj.776";
    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 2015/03/30 by doDayLTM
    String id "Datasets/20thC_ReanV2c/Derived/Dailies/gaussian/monolevel/";
    String infoUrl "";
    String institution "325 Broadway R/PSD1, Boulder, CO 80305";
    String keywords "20th, 3-hourly, atmosphere, atmosphere_water_vapor_content, atmospheric, boulder, broadway, century, cires, content, cooperative, count, daily, data, day, earth, Earth Science > Atmosphere > Atmospheric Water Vapor > Water Vapor, entire, environmental, hour, hourly, institute, latitude, long, longitude, mean, meteorology, missing, noaa, noaa-cires, non, non-missing, pr_wtr, precipitable, psd1, reanalysis, research, science, sciences, statistics, term, time, used, v2c, valid_yr_count, values, vapor, 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 name_of_model_used "ensda_v351";
    Float64 Northernmost_Northing 88.542;
    String not_missing_threshold_percent "minimum 3% values input to have non-missing output value";
    String observations "International Surface Pressure Databank version 3.2.9";
    String platform "Model";
    String product "reanalysis";
    String references "";
    String source 
"20CRv2c 2014, Ensemble Kalman Filter, ocean (specified): SODAsi.2c; 
atmosphere: NCEP GFS2008ex; sea ice (specified): COBE-SST2 sea ice; 
land: Noah; version 2";
    String sourceUrl "";
    Float64 Southernmost_Northing -88.542;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary 
"Data is from 
NOAA-Cooperative Institute for Research in Environmental Sciences (CIRES) 20th Century Reanalysis version 2c
(4x/day).  It consists of most variables interpolated to
pressure surfaces from model (sigma) surfaces.";
    String time_coverage_end "0001-12-31T00:00:00Z";
    String time_coverage_start "0001-01-01T00:00:00Z";
    String title "daily mean 4x Daily NOAA-CIRES 20th Century Reanalysis V2c (pr, 0001";
    String version "2c";
    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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