Make A Graph

Dataset Title:	AdriaClim RESM - WRF - historical, 6h - near surface
Institution:	CMCC (Dataset ID: adriaclim_resm_wrf_historical_near_surface)
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Data Access Form \| Files

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Graph Type:
X Axis:
Y Axis:
Color:

Dimensions

Start

Stop

time (UTC)

specify just 1 value →

latitude (degrees_north)

longitude (degrees_east)

Graph Settings
Color Bar:	Continuity:	Scale:
Minimum:	Maximum:	N Sections:
Draw land mask:
Y Axis Minimum:	Maximum:

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Then set the File Type: (File Type information)
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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:

Web page authors can embed a graph of the latest data in a web page using HTML <img> tags.
Anyone can use ERDDAPs Slide Sorter to build a personal web page that displays graphs with the latest data (or other images or HTML content), each in its own, draggable slide.

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 6.627312e+8, 1.6094808e+9;
    String axis "T";
    String calendar "standard";
    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";
    Float32 actual_range 29.77812, 48.89355;
    String axis "Y";
    String cell_methods "west_east: mean";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 5.031466, 22.91633;
    String axis "X";
    String cell_methods "south_north: mean";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  LH {
    Float32 _FillValue 1.0e+20;
    Float64 colorBarMaximum 250.0;
    Float64 colorBarMinimum -250.0;
    String ioos_category "Heat Flux";
    String long_name "Latent Heat Flux - Upward - at surface - instant";
    String standard_name "surface_upward_latent_heat_flux";
    String units "W m-2";
  }
  LW_d {
    Float32 _FillValue 1.0e+20;
    Float64 colorBarMaximum 500.0;
    Float64 colorBarMinimum -500.0;
    String ioos_category "Heat Flux";
    String long_name "Longwave Flux - Downward - at surface - instant";
    String standard_name "surface_downwelling_longwave_flux_in_air";
    String units "W m-2";
  }
  LandMask {
    Float32 _FillValue 1.0e+20;
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Identifier";
    String long_name "Land Mask";
    String notes "1=land, 0=water";
    String standard_name "land_binary_mask";
  }
  LandUse {
    Float32 _FillValue 1.0e+20;
    String ioos_category "Unknown";
    String long_name "Land Use Category";
    String notes "see WRF LANDUSE.TBL for category types";
    String standard_name "area_type";
  }
  SH {
    Float32 _FillValue 1.0e+20;
    Float64 colorBarMaximum 250.0;
    Float64 colorBarMinimum -250.0;
    String ioos_category "Heat Flux";
    String long_name "Sensible Heat Flux - Upward - at surface - instant";
    String standard_name "surface_upward_sensible_heat_flux";
    String units "W m-2";
  }
  SST {
    Float32 _FillValue 1.0e+20;
    Float64 colorBarMaximum 305.0;
    Float64 colorBarMinimum 273.0;
    String ioos_category "Temperature";
    String long_name "Sea-Surface Temperature";
    String standard_name "sea_surface_temperature";
    String units "K";
  }
  SW_d {
    Float32 _FillValue 1.0e+20;
    Float64 colorBarMaximum 500.0;
    Float64 colorBarMinimum -500.0;
    String ioos_category "Heat Flux";
    String long_name "Shortwave Flux - Downward - at surface - instant";
    String standard_name "surface_downwelling_shortwave_flux_in_air";
    String units "W m-2";
  }
  SeaIce {
    Float32 _FillValue 1.0e+20;
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Ice Distribution";
    String long_name "Sea Ice";
    String notes "1=seaice, 0=water";
    String standard_name "sea_ice_area_fraction";
  }
  T_2m {
    Float32 _FillValue 1.0e+20;
    Float64 colorBarMaximum 5.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Statistics";
    String long_name "BIAS CORRECTED Temperature at 2 m";
    String standard_name "air_temperature";
    String units "degree_C";
  }
  T_sfc {
    Float32 _FillValue 1.0e+20;
    Float64 colorBarMaximum 313.0;
    Float64 colorBarMinimum 263.0;
    String ioos_category "Temperature";
    String long_name "Temperature at the Surface";
    String standard_name "surface_temperature";
    String units "K";
  }
  Td_2m {
    Float32 _FillValue 1.0e+20;
    Float64 colorBarMaximum 40.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Temperature";
    String long_name "Dewpoint Temperature at 2 m";
    String standard_name "dew_point_temperature";
    String units "degree_C";
  }
  albedo {
    Float32 _FillValue 1.0e+20;
    String ioos_category "Optical Properties";
    String long_name "Surface Albedo";
    String standard_name "surface_albedo";
  }
  p_sfc {
    Float32 _FillValue 1.0e+20;
    Float64 colorBarMaximum 1050.0;
    Float64 colorBarMinimum 950.0;
    String ioos_category "Pressure";
    String long_name "Pressure at the Surface";
    String standard_name "surface_air_pressure";
    String units "hPa";
  }
  precip_tot {
    Float32 _FillValue 1.0e+20;
    Float64 colorBarMaximum 0.1;
    Float64 colorBarMinimum -0.1;
    String ioos_category "Statistics";
    String long_name "BIAS CORRECTED 6 HOUR CUMULATED TOTAL RAINFALL";
    String standard_name "total_precipitation_amount";
    String units "mm";
  }
  q_2m {
    Float32 _FillValue 1.0e+20;
    Float64 colorBarMaximum 30.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Meteorology";
    String long_name "Specific Humidity at 2 m";
    String standard_name "specific_humidity";
    String units "kg kg-1";
  }
  r_v_2m {
    Float32 _FillValue 1.0e+20;
    Float64 colorBarMaximum 200.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Meteorology";
    String long_name "Water Vapor Mixing Ratio at 2 m";
    String standard_name "humidity_mixing_ratio";
    String units "kg kg-1";
  }
  rh_2m {
    Float32 _FillValue 1.0e+20;
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Meteorology";
    String long_name "Relative Humidity at 2 m";
    String standard_name "relative_humidity";
    String units "percent";
  }
  u_star {
    Float32 _FillValue 1.0e+20;
    String ioos_category "Currents";
    String long_name "Friction Velocity (u*)";
    String units "m s-1";
  }
  NC_GLOBAL {
    String adriaclim_dataset "model";
    String adriaclim_model "WRF";
    String adriaclim_scale "italy";
    String adriaclim_timeperiod "6h";
    String cdm_data_type "Grid";
    String Conventions "CF-1.6, Standard Name Table v19, COARDS, ACDD-1.3";
    String created_by "AdriaClim Project - correspondence to giorgia.verri@cmcc.it";
    String creation_date "ven 14 ott 2022, 17.12.47, CEST";
    String creator_name "CMCC Foundation OPA Division";
    String creator_type "institution";
    String creator_url "https://www.ec.gc.ca/scitech/default.asp?lang=En&n=61B33C26-1#cmc";
    String dataset "WRF output file with bias-corrected T_2m, u_10m_gr, v_10m_gr, precip_tot";
    Float64 Easternmost_Easting 22.91633;
    Float64 geospatial_lat_max 48.89355;
    Float64 geospatial_lat_min 29.77812;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 22.91633;
    Float64 geospatial_lon_min 5.031466;
    Float64 geospatial_lon_resolution 0.06231659930313589;
    String geospatial_lon_units "degrees_east";
    String history 
"Fri Oct 14 17:12:51 2022: ncks -A -v lat /work/opa/wrf_cmcc/Dedy/WRF/wrf_lat.nc /work/opa/wrf_cmcc/Dedy/WRF/historical/6h/2009/04/wrfout-2009-04-09.nc
Fri Oct 14 17:12:51 2022: ncks -A -v lon /work/opa/wrf_cmcc/Dedy/WRF/wrf_lon.nc /work/opa/wrf_cmcc/Dedy/WRF/historical/6h/2009/04/wrfout-2009-04-09.nc
Fri Oct 14 17:12:51 2022: ncrename -O -d west_east,lon -d south_north,lat /work/opa/wrf_cmcc/Dedy/WRF/historical/6h/2009/04/wrfout-2009-04-09.nc
Fri Oct 14 17:12:50 2022: ncks -C -O -x -v lon,lat /work/opa/wrf_cmcc/Dedy/WRF/historical/6h/2009/04/wrfout-2009-04-09.nc.14052.nc /work/opa/wrf_cmcc/Dedy/WRF/historical/6h/2009/04/wrfout-2009-04-09.nc
2024-09-18T10:14:39Z (local files)
2024-09-18T10:14:39Z https://erddap-adriaclim.cmcc-opa.eu/griddap/adriaclim_resm_wrf_historical_near_surface.das";
    String history_of_appended_files 
"Wed Oct  5 14:36:46 2022: Appended file /work/opa/wrf_cmcc/Dedy/WRF/wrf_lat.nc had following \"history\" attribute:
Mon Oct  3 11:35:07 2022: ncrename -O -d south_north,lat lat_WRF1.nc
Mon Oct  3 11:34:13 2022: ncwa -a west_east lat_WRF.nc lat_WRF1.nc
Mon Oct  3 11:32:28 2022: ncks -v lat WRF_1993/wrfpost_19930101.nc lat_WRF.nc
Wed Oct  5 14:36:46 2022: Appended file /work/opa/wrf_cmcc/Dedy/WRF/wrf_lon.nc had following \"history\" attribute:
Mon Oct  3 11:34:50 2022: ncrename -O -d west_east,lon lon_WRF1.nc
Mon Oct  3 11:33:55 2022: ncwa -a south_north lon_WRF.nc lon_WRF1.nc
Mon Oct  3 11:32:18 2022: ncks -v lon WRF_1993/wrfpost_19930101.nc lon_WRF.nc";
    String infoUrl "https://cmcc.it";
    String institution "CMCC";
    String keywords "31.nc.8061, air, air_temperature, albedo, amount, area, area_type, atmosphere, atmospheric, bias, binary, category, cmcc, component, corrected, cryosphere, cumulated, currents, data, dew, dew point, dew_point_temperature, dewpoint, distribution, division, downward, downwelling, earth, Earth Science > Atmosphere > Atmospheric Pressure > Surface Pressure, Earth Science > Atmosphere > Atmospheric Radiation > Albedo, Earth Science > Atmosphere > Atmospheric Radiation > Heat Flux, Earth Science > Atmosphere > Atmospheric Radiation > Longwave Radiation, Earth Science > Atmosphere > Atmospheric Radiation > Shortwave Radiation, Earth Science > Atmosphere > Atmospheric Temperature > Air Temperature, Earth Science > Atmosphere > Atmospheric Temperature > Dew Point Temperature, Earth Science > Atmosphere > Atmospheric Temperature > Surface Air Temperature, Earth Science > Atmosphere > Atmospheric Water Vapor > Dew Point Temperature, Earth Science > Atmosphere > Atmospheric Water Vapor > Humidity, Earth Science > Atmosphere > Atmospheric Winds > Surface Winds, Earth Science > Cryosphere > Sea Ice > Ice Extent, Earth Science > Land Surface > Land Temperature > Land Surface Temperature, Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature, Earth Science > Oceans > Sea Ice > Ice Extent, eastward, eastward_wind, extent, flux, foundation, fraction, friction, grid, heat, heat flux, hour, humidity, humidity_mixing_ratio, ice, ice distribution, identifier, instant, land, land_binary_mask, LandMask, LandUse, latent, longwave, LW_d, mask, meteorology, mixing, northward, northward_wind, ocean, oceans, opa, optical, optical properties, p_sfc, point, precip_tot, precipitation, pressure, properties, q_2m, r_v_2m, radiation, rain, rainfall, ratio, relative, relative_humidity, rh_2m, science, sea, sea-surface, sea_ice_area_fraction, sea_surface_temperature, SeaIce, seawater, sensible, shortwave, specific, specific_humidity, SST, statistics, surface, surface_air_pressure, surface_albedo, surface_downwelling_longwave_flux_in_air, surface_downwelling_shortwave_flux_in_air, surface_temperature, surface_upward_latent_heat_flux, surface_upward_sensible_heat_flux, SW_d, T_2m, T_sfc, Td_2m, temperature, time, total, total_precipitation_amount, type, u-component, u_10m_gr, u_star, upward, use, v-component, v_10m_gr, vapor, velocity, water, wind, winds, wrfout, wrfout-2000-12-31.nc.8061";
    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 NCO "netCDF Operators version 4.9.3 (Homepage = http://nco.sf.net, Code = https://github.com/nco/nco)";
    Float64 Northernmost_Northing 48.89355;
    String notes "Created with NCL script:  wrfout_to_cf.ncl v2.0.3";
    String source "wrfout_d01_2009-04-09_12:00:00c_corr";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 29.77812;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "AdriaClim RESM - WRF - historical, 6h - near surface";
    String time_coverage_end "2021-01-01T06:00:00Z";
    String time_coverage_start "1991-01-01T12:00:00Z";
    String title "AdriaClim RESM - WRF - historical, 6h - near surface";
    Float64 Westernmost_Easting 5.031466;
  }
}

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.

(easy) You can get data by using the dataset's Data Access Form. It makes the URL for you.
(easy) You can make a graph or map by using the dataset's Make A Graph form. It makes the URL for you.
(not hard) You can bypass the forms and get the data or make a graph or map by generating the URL by hand or with a computer program or script.

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.