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Dataset Title:  Daily 1/8-degree gridded meteorological data [1 Jan 1949 - 31 December 2010] Subscribe RSS
Institution:  Civil Engineering Department, Santa Clara University   (Dataset ID: MAURER)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form
 
Graph Type:  ?
X Axis:  ?
Y Axis:  ?
Color:  ?
 
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time (UTC) ?     specify just 1 value →
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< <
latitude (degrees_north) ?
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< slider >
longitude (degrees_east) ?
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Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
Draw land mask: 
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 -6.62688e+8, 1.2937536e+9;
    String axis "T";
    String calendar "standard";
    String ioos_category "Time";
    String long_name "Time axis";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String title "Time";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 31.1875, 43.1875;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
    Float32 valid_max 52.875;
    Float32 valid_min 25.125;
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -124.6875, -111.6875;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    Float64 modulo 360.0;
    String standard_name "longitude";
    String topology "circular";
    String units "degrees_east";
    Float32 valid_max -67.0;
    Float32 valid_min -124.75;
  }
  wind_speed {
    String associate "time latitude longitude";
    String axis "TYX";
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Wind";
    String long_name "Wind Speed";
    Float32 missing_value 1.0e+20;
    String standard_name "wind_speed";
    String units "m.s-1";
  }
  lwe_thickness_of_precipitation_amount {
    Float32 _FillValue 1.0e+20;
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Meteorology";
    String long_name "Lwe Thickness Of Precipitation Amount";
    String standard_name "lwe_thickness_of_precipitation_amount";
    String units "mm";
  }
  air_temperature_average {
    Float32 _FillValue 1.0e+20;
    Float64 colorBarMaximum 40.0;
    Float64 colorBarMinimum -10.0;
    String ioos_category "Temperature";
    String long_name "Air Temperature";
    String standard_name "air_temperature";
    String units "degree_Celsius";
  }
  air_temperature_maximum {
    Float32 _FillValue 1.0e+20;
    Float64 colorBarMaximum 40.0;
    Float64 colorBarMinimum -10.0;
    String ioos_category "Temperature";
    String long_name "Air Temperature";
    String standard_name "air_temperature";
    String units "degree_Celsius";
  }
  air_temperature_minimum {
    Float32 _FillValue 1.0e+20;
    Float64 colorBarMaximum 40.0;
    Float64 colorBarMinimum -10.0;
    String ioos_category "Temperature";
    String long_name "Air Temperature";
    String standard_name "air_temperature";
    String units "degree_Celsius";
  }
  NC_GLOBAL {
    String _CoordSysBuilder "ucar.nc2.dataset.conv.DefaultConvention";
    String acknowledgement "Thanks to Dr. Vimal Mishra of the University of Washington for updating the Mexico data and for making it available here.";
    String authors "Sheffield, J., G. Goteti, and E. F. Wood, 2006: Development of a 50-yr high-resolution global dataset of meteorological forcings for land surface modeling, J. Climate, 19 (13), 3088-3111";
    String CDI "Climate Data Interface version 1.5.0 (http://code.zmaw.de/projects/cdi)";
    String cdm_data_type "Grid";
    String CDO "Climate Data Operators version 1.5.0 (http://code.zmaw.de/projects/cdo)";
    String contributor_name "Andy Wood";
    String contributor_role "Contributor";
    String Conventions "GDT 1.2, COARDS, CF-1.6, Unidata Dataset Discovery v1.0";
    String creation_date "2006";
    String creator_email "emaurer@engr.scu.edu";
    String creator_name "Ed Maurer";
    String creator_url "http://www.engr.scu.edu/~emaurer/index.shtml";
    String date_created "2002";
    String date_modified "2011-08-23";
    String description "Gridded Observed global data";
    Float64 Easternmost_Easting -111.6875;
    String file_name "nldas_met_update.obs.daily.tasmin.1949.nc";
    Float64 geospatial_lat_max 43.1875;
    Float64 geospatial_lat_min 31.1875;
    Float64 geospatial_lat_resolution 0.125;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -111.6875;
    Float64 geospatial_lon_min -124.6875;
    Float64 geospatial_lon_resolution 0.125;
    String geospatial_lon_units "degrees_east";
    String History 
"Wed May 21 09:03:16 2014: ncea -d latitude,31.1,43.235 -d longitude,-125.86,-111.62 nldas_met_update.obs.daily.1949.nc subsetted2/nldas_met_update.obs.daily.1949.nc
Interpolated from 1-degree data";
    String history 
"Fri Oct 28 10:34:04 2011: cdo ifthen conus_mask.nc /archive/public/gridded_obs/daily/ncfiles_2010/nldas_met_update.obs.daily.tasmin.1949.nc /data3/emaurer/ldas_met_2010/process/met/nc/daily/nldas_met_update.obs.daily.tasmin.1949.nc
2018-10-18T01:36:29Z (local files)
2018-10-18T01:36:29Z http://erddap.axiomdatascience.com/griddap/MAURER.das";
    String infoUrl "http://www.engr.scu.edu/~emaurer/index.shtml";
    String institution "Civil Engineering Department, Santa Clara University";
    String keywords "8-degree, air, air_temperature, amount, atmosphere, atmospheric, civil, clara, daily, data, degree, department, direction, Earth Science > Atmosphere > Atmospheric Temperature > Air Temperature, Earth Science > Atmosphere > Atmospheric Temperature > Maximum/Minimum Temperature, Earth Science > Atmosphere > Atmospheric Temperature > Surface Air Temperature, Earth Science > Atmosphere > Atmospheric Winds > Surface Winds, Earth Science > Atmosphere > Atmospheric Winds > Surface Winds > Wind Speed/Wind Direction, Earth Science > Atmosphere > Precipitation > Liquid Water Equivalent, Earth Science > Atmosphere > Precipitation > Precipitation Amount, engineering, equivalent, gridded, liquid, lwe, lwe_thickness_of_precipitation_amount, maximum, meteorological, meteorology, minimum, precipitation, santa, speed, surface, temperature, thickness, university, water, wind, wind_speed, winds";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "These data are being made available to provide immediate access for the convenience of interested persons. These are believed to be reliable, though human or mechanical error remain a possibility. Therefore, there is no guarantee as to the accuracy, completeness, timeliness, or correct sequencing of the data. None of those involved in creating, processing, or distributing this information shall be responsible for any errors or omissions, or for the use or results obtained from the use of this information.";
    String Metadata_Conventions "GDT 1.2, COARDS, CF-1.6, Unidata Dataset Discovery v1.0";
    String metadata_link "http://www.engr.scu.edu/~emaurer/gridded_obs/index_gridded_obs.html";
    String NCO "4.0.9";
    Int32 nco_openmp_thread_number 1;
    Float64 Northernmost_Northing 43.1875;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 31.1875;
    String standard_name_vocabulary "CF-1.6";
    String summary "Daily 1/8-degree gridded meteorological data over land from January 1, 1949 to December 31, 2010. For this dataset, if a meteorological station has a time of observation before noon, the precipitation is assigned to the prior day, otherwise no adjustment is made. For data processing information, see: Maurer, E.P., A.W. Wood, J.C. Adam, D.P. Lettenmaier, and B. Nijssen, 2002, A Long-Term Hydrologically-Based Data Set of Land Surface Fluxes and States for the Conterminous United States, J. Climate 15, 3237-3251.";
    String SurfSgnConvention "Traditional";
    String time_coverage_end "2010-12-31T00:00:00Z";
    String time_coverage_start "1949-01-01T00:00:00Z";
    String title "Daily 1/8-degree gridded meteorological data [1 Jan 1949 - 31 December 2010]";
    Float64 Westernmost_Easting -124.6875;
  }
}

 

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://coastwatch.pfeg.noaa.gov/erddap/griddap/datasetID.fileType{?query}
For example,
https://coastwatch.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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