Irish Centre for High-End Computing (ICHEC) ICHEC ERDDAP Server
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ERDDAP > tabledap > Make A Graph ?

Dataset Title:  actual_evapotranspiration ETa_ed (daily) Subscribe RSS
Institution:  ICHEC   (Dataset ID: EPA_Hydroclimate_ETa_ed_daily)
Range: longitude = 0.0 to 171.0°E, latitude = 0.0 to 195.0°N, time = 1981-01-01T00:00:00Z to 2016-12-31T00:00:00Z
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files
 
Graph Type:  ?
X Axis: 
Y Axis: 
Color: 
-1 +1
 
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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 {
 s {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 3.471552e+8, 1.4831424e+9;
    String axis "T";
    String calendar "proleptic_gregorian";
    String ioos_category "Time";
    String long_name "Time";
    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";
    Int16 actual_range 0, 195;
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String ioos_category "Location";
    String long_name "Latitude";
    String source_name "y";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Int16 actual_range 0, 171;
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String ioos_category "Location";
    String long_name "Longitude";
    String source_name "x";
    String standard_name "longitude";
    String units "degrees_east";
  }
  ETa_ed {
    Float32 _FillValue -9.0e+33;
    Float32 actual_range -0.2560864, 4.683811;
    String ioos_category "Unknown";
    String long_name "actual_evapotranspiration";
    Float32 missing_value -9.0e+33;
  }
 }
  NC_GLOBAL {
    String CDI "Climate Data Interface version 1.7.0 (https://code.mpimet.mpg.de/projects/cdi)";
    String cdm_data_type "Point";
    String CDO "Climate Data Operators version 1.7.0 (https://code.mpimet.mpg.de/projects/cdo)";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    Float64 Easternmost_Easting 171.0;
    String featureType "Point";
    Float64 geospatial_lat_max 195.0;
    Float64 geospatial_lat_min 0.0;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 171.0;
    Float64 geospatial_lon_min 0.0;
    String geospatial_lon_units "degrees_east";
    String history 
"Mon May 21 12:44:04 2018: cdo -s chname,AE,ETa_ed ED/MERA_ETaed-daily.nc ED/MERA_ETaed-daily1.nc
Tue Apr 17 09:48:09 2018: cdo mergetime MERA-ETaed_1981.nc MERA-ETaed_1982.nc MERA-ETaed_1983.nc MERA-ETaed_1984.nc MERA-ETaed_1985.nc MERA-ETaed_1986.nc MERA-ETaed_1987.nc MERA-ETaed_1988.nc MERA-ETaed_1989.nc MERA-ETaed_1990.nc MERA-ETaed_1991.nc MERA-ETaed_1992.nc MERA-ETaed_1993.nc MERA-ETaed_1994.nc MERA-ETaed_1995.nc MERA-ETaed_1996.nc MERA-ETaed_1997.nc MERA-ETaed_1998.nc MERA-ETaed_1999.nc MERA-ETaed_2000.nc MERA-ETaed_2001.nc MERA-ETaed_2002.nc MERA-ETaed_2003.nc MERA-ETaed_2004.nc MERA-ETaed_2005.nc MERA-ETaed_2006.nc MERA-ETaed_2007.nc MERA-ETaed_2008.nc MERA-ETaed_2009.nc MERA-ETaed_2010.nc MERA-ETaed_2011.nc MERA-ETaed_2012.nc MERA-ETaed_2013.nc MERA-ETaed_2014.nc MERA-ETaed_2015.nc MERA-ETaed_2016.nc MERA-ETaed.nc
Mon Apr 16 21:01:22 2018: cdo mergetime /ichec/work/staff/cilwerner/EPA/Hydroclimate/AE/MERA/Daily-AE/ED/MERAed-AE-20160101.nc /ichec/work/staff/cilwerner/EPA/Hydroclimate/AE/MERA/Daily-AE/ED/MERAed-AE-20160102.nc /ichec/work/staff/cilwerner/EPA/Hydroclimate/AE/MERA/Daily-AE/ED/MERAed-AE-20160103.nc /ichec/work/staff/cilwerner/EPA/Hydroclimate/AE/MERA/Daily-AE/ED/MERAed-AE-20160104.nc /ichec/work/staff/cilwerner/EPA/Hydroclimate/AE/MERA/Daily-AE/ED/MERAed-AE-20160105.nc /ichec/work/staff/cilwerner/EPA/Hydroclimate/AE/MERA/Daily-AE/ED/MERAed-AE-20160106.nc /ichec/work/staff/cilwerner/EPA/Hydroclimate/AE/MERA/Daily-AE/ED/MERAed-AE-20160107.nc /ichec/work/staff/cilwerner/EPA/Hydroclimate/AE/MERA/Daily-AE/ED/MERAed-AE-20160108.nc /ichec/work/staff/cilwerner/EPA/Hydroclimate/AE/MERA/Daily-AE/ED/MERAed-AE-20160109.nc /ichec/work/staff/cilwerner/EPA/Hydroclimate/AE/MERA/Daily-AE/ED/MERAed-AE-20160110.nc /ichec/work/staff/cilwerner/EPA/Hydroclimate/AE/MERA/Daily-AE/ED/MERAed-AE-20160111.nc 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/ichec/work/staff/cilwerner/EPA/Hydroclimate/AE/MERA/Daily-AE/ED/MERAed-AE-20161229.nc /ichec/work/staff/cilwerner/EPA/Hydroclimate/AE/MERA/Daily-AE/ED/MERAed-AE-20161230.nc /ichec/work/staff/cilwerner/EPA/Hydroclimate/AE/MERA/Daily-AE/ED/MERAed-AE-20161231.nc /ichec/work/staff/cilwerner/EPA/Hydroclimate/AE/MERA/Yearly-AE/ED/MERA-ETaed_2016.nc
Mon Apr 16 20:36:35 2018: cdo selname,AE step3edmer.nc /ichec/work/staff/cilwerner/EPA/Hydroclimate/AE/MERA/Daily-AE/ED/MERAed-AE-20160101.nc
Mon Apr 16 20:36:35 2018: cdo -s expr,AE=ETo*((50-SMDtm1)/50);SMDtm1=SMDtm1;Prec=Prec; step2edmer.nc step3edmer.nc
Mon Apr 16 20:36:35 2018: cdo -s chname,SMDt,SMDtm1,var65,Prec,var1,ETo step1edmer.nc step2edmer.nc
Mon Apr 16 20:36:35 2018: cdo merge /ichec/work/staff/cilwerner/SMD/Start_files//MERA/Prec/MERAObs2016m0101.nc /ichec/work/staff/cilwerner/SMD/Start_files//MERA/ETo/MERA-ETo_20160101.nc edmer.nc step1edmer.nc
Mon Apr 09 12:34:47 2018: cdo splitday /ichec/work/staff/cilwerner/Grid_Prec/MERA/W2DA_2016m01grid.nc /ichec/work/staff/cilwerner/SMD/Start_files/MERA/Prec/MERAObs2016m01
Mon Apr 09 12:34:47 2018: cdo -f nc setgridtype,curvilinear WD2A_2016m01grid.grb /ichec/work/staff/cilwerner/Grid_Prec/MERA/W2DA_2016m01grid.nc
2019-09-23T08:14:12Z (local files)
2019-09-23T08:14:12Z https://erddap.ichec.ie/tabledap/EPA_Hydroclimate_ETa_ed_daily.das";
    String infoUrl "https://www.ichec.ie/partnerships/state-supported/high-resolution-gridded-datasets-hydro-climate-indices-ireland";
    String institution "ICHEC";
    String keywords "data, ETa_ed, latitude, local, longitude, source, time";
    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 195.0;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 0.0;
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary "ETa_ed daily values";
    String time_coverage_end "2016-12-31T00:00:00Z";
    String time_coverage_start "1981-01-01T00:00:00Z";
    String title "actual_evapotranspiration ETa_ed (daily)";
    Float64 Westernmost_Easting 0.0;
  }
}

 

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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