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Dataset Title:  Great Lakes - Monthly Precipitation - GLISA - NCEI - CFSR V1 Subscribe RSS
Institution:  NOAA (NOAA)   (Dataset ID: glisa_cfsr_v1_precip_monthly)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
 
   Maximum ?
 
 platform (Station ID) ?          "CFSR_Precip"    "CFSR_Precip"
 longitude (degrees_east) ?          262.0    289.0
  < slider >
 latitude (degrees_north) ?          37.0    51.0
  < slider >
 time (UTC) ?          1979-01-01T00:00:00Z    2010-12-01T00:00:00Z
  < slider >
 Year ?          1979    2010
 Month ?          1    12
 Season ?          "DJF"    "SON"
 Total_Precipitation_in (inches s-1) ?          0.0    18.72989
 Total_Precipitation_mm (kg m-2) ?          0.0    0.7373973
 
Server-side Functions ?
 distinct() ?
? ("Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.")

File type: (more information)

(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 {
 s {
  platform {
    String actual_range 
"CFSR_Precip
CFSR_Precip";
    String cf_role "timeseries_id";
    String ioos_category "Identifier";
    String long_name "Station ID";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 _FillValue NaN;
    Float32 actual_range 262.0, 289.0;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String name "Lon";
    String standard_name "longitude";
    String units "degrees_east";
    Float32 valid_range 262.1875, 288.75;
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 _FillValue NaN;
    Float32 actual_range 37.0, 51.0;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String name "Lat";
    String standard_name "latitude";
    String units "degrees_north";
    Float32 valid_range 37.3113, 50.7372;
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 2.839968e+8, 1.2911616e+9;
    String axis "T";
    String bounds "time_bnds";
    String calendar "standard";
    String ioos_category "Time";
    String long_name "Time";
    String name "time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  Year {
    Int32 _FillValue 9999;
    Int32 actual_range 1979, 2010;
    String coordinates "reference_time";
    String ioos_category "Time";
    String long_name "Year";
  }
  Month {
    Int32 _FillValue 99;
    Int32 actual_range 1, 12;
    String coordinates "reference_time";
    String ioos_category "Time";
    String long_name "Month";
  }
  Season {
    String coordinates "reference_time";
    String ioos_category "Time";
    String long_name "Season";
  }
  Total_Precipitation_in {
    Float32 _FillValue -9999.0;
    Float32 actual_range 0.0, 18.72989;
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String destination_name "Total_Precipitation_in";
    String ioos_category "Meteorology";
    String level_desc "Surface";
    String long_name "Monthly Total Precipitation";
    Float64 missing_Value NaN;
    String standard_name "precipitation_amount";
    String units "inches s-1";
    String var_desc "Total Precipitation";
  }
  Total_Precipitation_mm {
    Float32 _FillValue -9999.0;
    Float32 actual_range 0.0, 0.7373973;
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String destination_name "Total_Precipitation_mm";
    String ioos_category "Meteorology";
    String level_desc "Surface";
    String long_name "Monthly Total Precipitation";
    Float64 missing_Value NaN;
    String standard_name "precipitation_amount";
    String units "kg m-2";
    String var_desc "Total Precipitation";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "TimeSeries";
    String cdm_timeseries_variables "platform, longitude, latitude";
    String Conventions "CF-1.6, ACDD-1.3, IOOS-1.2, COARDS";
    String creator_country "United States";
    String creator_email "glisa-info@umich.edu";
    String creator_institution "University of Michigan, Michigan State University";
    String creator_name "GLISA, the NOAA Great Lakes Climate Adaptation Partnership (CAP)";
    String creator_sector "academic";
    String creator_type "institution";
    String creator_url "https://glisa.umich.edu";
    Float64 Easternmost_Easting 289.0;
    String featureType "TimeSeries";
    Float64 geospatial_lat_max 51.0;
    Float64 geospatial_lat_min 37.0;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 289.0;
    Float64 geospatial_lon_min 262.0;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-11-21T13:39:46Z (local files)
2024-11-21T13:39:46Z https://seagull-erddap.glos.org/erddap/tabledap/glisa_cfsr_v1_precip_monthly.html";
    String infoUrl "https://glisa.umich.edu";
    String institution "NOAA (NOAA)";
    String ioos_ingest "false";
    String keywords "administration, aggregated, atmospheric, CDDCDV, centers, climate, cooling, cooling_degree_days, data, date, days, degree, divisions, drought, environmental, great, great lakes, HDDCDV, heating, heating_degree_days, index, information, lakes, meteorology, modified, national, ncei, nesdis, noaa, oceanic, palmer, palmer_drought_severity_index, PDSI, PMDI, PRCP_inches, PRCP_mm, region, severity, temperature, time, TMAX_degC, TMAX_degF, TMIN_degC, TMIN_degF, TMP_degC, TMP_degF, US, values, year";
    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, GLOS, 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 naming_authority "org.glos";
    Float64 Northernmost_Northing 51.0;
    String publisher_country "United States";
    String publisher_email "info@glos.org";
    String publisher_institution "GLOS";
    String publisher_sector "nonprofit";
    String publisher_url "https://glos.org";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 37.0;
    String standard_name "CF Standard Name Table v77";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "The monthly precipitation values of the National Centers for Environmental Information (NCEI) US Climate Divisions in the Great lakes region";
    String time_coverage_end "2010-12-01T00:00:00Z";
    String time_coverage_start "1979-01-01T00:00:00Z";
    String title "Great Lakes - Monthly Precipitation - GLISA - NCEI - CFSR V1";
    Float64 Westernmost_Easting 262.0;
  }
}

 

Using tabledap to Request Data and Graphs from Tabular Datasets

tabledap lets you request a data subset, a graph, or a map from a tabular dataset (for example, buoy data), via a specially formed URL. tabledap uses the OPeNDAP (external link) Data Access Protocol (DAP) (external link) and its selection 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.

Tabledap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/pmelTaoDySst.htmlTable?longitude,latitude,time,station,wmo_platform_code,T_25&time>=2015-05-23T12:00:00Z&time<=2015-05-31T12:00:00Z
Thus, the query is often a comma-separated list of desired variable names, followed by a collection of constraints (e.g., variable<value), each preceded by '&' (which is interpreted as "AND").

For details, see the tabledap Documentation.


 
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