Make A Graph

Dataset Title:	AdriaClim RESM - WRF - projection, 6h - Ancillary - Td_2m, tcc
Institution:	CMCC (Dataset ID: adriaclim_resm_wrf_projection_ancillary)
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:

(Please be patient. It may take a while to get the data.)

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

or view the URL:
(Documentation / Bypass this form

)

Click on the map to specify a new center point.

Zoom:

[The graph you specified. Please be patient.]

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 1.6095024e+9, 2.5561008e+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";
  }
  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";
  }
  tcc {
    Float32 _FillValue 1.0e+20;
    String ioos_category "Meteorology";
    String long_name "Total Cloud Cover";
    String standard_name "total cloud cover";
  }
  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, 17.41.35, 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 17:43:51 2022: ncks -A -v lon ../work/WRF/wrf_lon.nc wrfout-ancillary-2050-12-31.nc
Fri Oct 14 17:43:29 2022: ncks -A -v lat ../work/WRF/wrf_lat.nc wrfout-ancillary-2050-12-31.nc
Fri Oct 14 17:43:00 2022: ncrename -O -d west_east,lon -d south_north,lat wrfout-ancillary-2050-12-31.nc
Fri Oct 14 17:42:37 2022: ncks -C -O -x -v lon,lat wrfout-ancillary-2050-12-31.nc.tmp wrfout-ancillary-2050-12-31.nc
2024-11-06T19:46:08Z (local files)
2024-11-06T19:46:08Z https://erddap-adriaclim.cmcc-opa.eu/griddap/adriaclim_resm_wrf_projection_ancillary.das";
    String history_of_appended_files 
"Thu Oct 13 00:45:55 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
Thu Oct 13 00:45:55 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 "-using, 31.nc.1973, air, air_pressure_at_sea_level, ancillary, atmosphere, atmospheric, cloud, cloud cover, cloudiness, cmcc, cover, data, dew, dew point, dew_point_temperature, dewpoint, division, earth, Earth Science > Atmosphere > Atmospheric Pressure > Atmospheric Pressure Measurements, Earth Science > Atmosphere > Atmospheric Pressure > Sea Level Pressure, Earth Science > Atmosphere > Atmospheric Pressure > Static Pressure, Earth Science > Atmosphere > Atmospheric Temperature > Dew Point Temperature, Earth Science > Atmosphere > Atmospheric Water Vapor > Dew Point Temperature, eta, forecasting, foundation, height, level, lowest, measurements, meteorology, model, ncl, opa, point, pressure, pressure-, research, science, sea, sea level, sea-level, seawater, slp, slp_b, slp_c, static, surface, tcc, Td_2m, temperature, time, total, total cloud cover, using, vapor, water, weather, wrf, wrf-ncl, wrfout, wrfout-ancillary-2000-12-31.nc.1973";
    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_2050-12-31_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 - projection, 6h - Ancillary - Td_2m, tcc";
    String time_coverage_end "2050-12-31T12:00:00Z";
    String time_coverage_start "2021-01-01T12:00:00Z";
    String title "AdriaClim RESM - WRF - projection, 6h - Ancillary - Td_2m, tcc";
    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.