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Dataset Title:  Top Dataset, monolevel, lhtfl.day.1981-2010.ltm (Daily NOAA-CIRES 20th Century
Reanalysis V2), 0001
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Institution:  NOAA ESRL/PSD   (Dataset ID: noaa_esrl_8fb8_2c20_48fb)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Make a graph
 
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (UTC) ?      365    1 day (even)
  < 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)
 lhtfl (Daily Long Term Mean Latent Heat Net Flux Spread at surface, W/m^2) ?
 not_missing_count (count of non-missing values used in mean) ?

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, -6.210432e+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 "start";
    String delta_t "0000-00-01 00:00:00";
    String interpreted_actual_range "0001/01/01 00:00:00 - 0001/12/31 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";
  }
  lhtfl {
    Float32 actual_range 0.0, 69.45007;
    String cell_methods "time: mean within days time: mean over days time: mean over years";
    Float64 colorBarMaximum 250.0;
    Float64 colorBarMinimum -250.0;
    Int16 GRIB_id 121;
    String GRIB_name "LHTFLsfcrAvg";
    String ioos_category "Heat Flux";
    String level_desc "Surface";
    String long_name "Daily Long Term Mean Latent Heat Net Flux Spread at surface";
    Float32 missing_value -9.96921e+36;
    String parent_stat "Ensemble Spread";
    Int16 precision 1;
    String standard_name "surface_upward_latent_heat_flux";
    String statistic "Long Term Mean";
    String units "W/m^2";
    Float32 valid_range 0.0, 6553.0;
    String var_desc "Latent Heat Net Flux";
  }
  not_missing_count {
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Statistics";
    String long_name "count of non-missing values used in mean";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String citation 
"Compo,G.P. <https://www.esrl.noaa.gov/psd/people/gilbert.p.compo>, 
J.S. Whitaker <https://www.esrl.noaa.gov/psd/people/jeffrey.s.whitaker>,
 and P.D. Sardeshmukh, 2006: Feasibility of a 100 year reanalysis using
 only surface pressure data.
  <https://www.esrl.noaa.gov/psd/people/gilbert.p.compo/Compoetal2006.pdf>
 /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 "esrl.psd.data@noaa.gov";
    String creator_name "NOAA ESRL PSD";
    String creator_type "institution";
    String creator_url "https://www.esrl.noaa.gov/psd/";
    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 2012/05/25 by doDayLTM2
Converted to chunked, deflated non-packed NetCDF4 2014/06
2018-08-14T13:40:56Z https://www.esrl.noaa.gov/psd/thredds/dodsC/Datasets/20thC_ReanV2/Derived/Dailies/gaussian_sprd/monolevel/lhtfl.day.1981-2010.ltm.nc
2018-08-14T13:40:56Z http://upwell.pfeg.noaa.gov/erddap/griddap/noaa_esrl_8fb8_2c20_48fb.das";
    String id "Datasets/20thC_ReanV2/Derived/Dailies/gaussian_sprd/monolevel/lhtfl.day.1981-2010.ltm.nchttps://www.esrl.noaa.gov/psd/thredds/dodsC/Datasets/20thC_ReanV2/Derived/Dailies/gaussian_sprd/monolevel/lhtfl.day.1981-2010.ltm.nc";
    String infoUrl "https://www.esrl.noaa.gov/psd/data/gridded/data.20thCentReanalysis.html";
    String institution "NOAA ESRL/PSD";
    String keywords "2010.ltm, 20th, atmosphere, atmospheric, century, cires, cooperative, count, daily, data, dataset, day, division, earth, Earth Science > Atmosphere > Atmospheric Radiation > Heat Flux, environmental, esrl, flux, heat, heat flux, institute, laboratory, latent, latitude, lhtfl, lhtfl.day.1981, lhtfl.day.1981-2010.ltm, long, longitude, mean, missing, monolevel, net, noaa, noaa-cires, non, non-missing, not_missing_count, physical, psd, radiation, reanalysis, research, science, sciences, spread, statistics, surface, surface_upward_latent_heat_flux, system, term, time, top, upward, used, values";
    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 not_missing_threshold_percent "minimum 3% values input to have non-missing output value";
    String references "https://www.esrl.noaa.gov/psd/data/gridded/data.20thCentReanalysis.html";
    String sourceUrl "https://www.esrl.noaa.gov/psd/thredds/dodsC/Datasets/20thC_ReanV2/Derived/Dailies/gaussian_sprd/monolevel/lhtfl.day.1981-2010.ltm.nc";
    Float64 Southernmost_Northing -88.542;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary 
"Daily 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 "0001-12-31T00:00:00Z";
    String time_coverage_start "0001-01-01T00:00:00Z";
    String title "Top Dataset, monolevel, lhtfl.day.1981-2010.ltm (Daily NOAA-CIRES 20th Century Reanalysis V2), 0001";
    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
https://upwell.pfeg.noaa.gov/erddap/griddap/datasetID.fileType{?query}
For example,
https://upwell.pfeg.noaa.gov/erddap/griddap/jplMURSST41.htmlTable?analysed_sst[(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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