Make A Graph

Dataset Title:	AdriaClim Indicators \| adriaclim_WRF \| seasonal \| hist \| tg
Institution:	CMCC (Dataset ID: adriaclim_WRF_5029_ffe8_943d)
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

Times (day as Ycountmday fcount)

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 {
  Times {
    Int32 actual_range 0, 78;
    String ioos_category "Time";
    String long_name "Times";
    String units "day as Ycountmday fcount";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 37.00147, 46.97328;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 10.0168, 21.98158;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  tg {
    UInt32 _ChunkSizes 1, 217, 193;
    Float32 _FillValue NaN;
    String cell_methods "Times: mean";
    Float64 colorBarMaximum 313.0;
    Float64 colorBarMinimum 263.0;
    String description "BIAS CORRECTED TEMP at 2 M";
    String ioos_category "Temperature";
    String long_name "mean of mean daily temperature over the period";
    Float32 missing_value NaN;
    String units "degree_K";
  }
  NC_GLOBAL {
    String _NCProperties "version=2,netcdf=4.7.2,hdf5=1.10.5,";
    String adriaclim_dataset "indicator";
    String adriaclim_model "WRF - V3.5.1";
    String adriaclim_scale "adriatic";
    String adriaclim_timeperiod "seasonal";
    String adriaclim_type "timeseries";
    Int32 BL_PBL_PHYSICS 1;
    Float32 BLDT 0.0;
    Int32 BOTTOM_TOP_GRID_DIMENSION 60;
    Int32 BOTTOM_TOP_PATCH_END_STAG 60;
    Int32 BOTTOM_TOP_PATCH_END_UNSTAG 59;
    Int32 BOTTOM_TOP_PATCH_START_STAG 1;
    Int32 BOTTOM_TOP_PATCH_START_UNSTAG 1;
    Float32 BUCKET_J 1.0e+9;
    Float32 BUCKET_MM 100.0;
    String CDI "Climate Data Interface version 1.9.8 (https://mpimet.mpg.de/cdi)";
    String cdm_data_type "Grid";
    String CDO "Climate Data Operators version 1.9.8 (https://mpimet.mpg.de/cdo)";
    Float32 CEN_LAT 40.0;
    Float32 CEN_LON 13.9739;
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    Int32 CU_PHYSICS 6;
    Float32 CUDT 5.0;
    Int32 DAMP_OPT 0;
    Float32 DAMPCOEF 0.2;
    String dataset "WRF output file with bias-corrected T2, U10, V10,RAINC, RAINNC by VHR";
    Int32 DFI_OPT 0;
    Float32 DIFF_6TH_FACTOR 0.12;
    Int32 DIFF_6TH_OPT 2;
    Int32 DIFF_OPT 1;
    Float32 DT 20.0;
    Float32 DX 6000.0;
    Float32 DY 6000.0;
    Float64 Easternmost_Easting 21.98158;
    Int32 FEEDBACK 1;
    String frequency "year";
    Float64 geospatial_lat_max 46.97328;
    Float64 geospatial_lat_min 37.00147;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 21.98158;
    Float64 geospatial_lon_min 10.0168;
    Float64 geospatial_lon_resolution 0.062316562500000006;
    String geospatial_lon_units "degrees_east";
    Int32 GFDDA_END_H 0;
    Int32 GFDDA_INTERVAL_M 0;
    Float32 GMT 12.0;
    Int32 GRID_FDDA 0;
    Int32 GRID_ID 1;
    Int32 GRID_SFDDA 0;
    String GRIDTYPE "C";
    String history 
"2024-09-18T10:14:15Z (local files)
2024-09-18T10:14:15Z https://erddap-adriaclim.cmcc-opa.eu/griddap/adriaclim_WRF_5029_ffe8_943d.das";
    String history_of_appended_files 
"Thu Dec  1 16:12:11 2022: Appended file lat1.nc had following \"history\" attribute:
Thu Dec  1 16:12:09 2022: ncrename -O -d south_north,lat lat1.nc
Thu Dec  1 16:12:09 2022: ncwa -a west_east lat.nc lat1.nc
Thu Dec  1 16:12:09 2022: ncks -v south_north adriaclim_WRF_su_hist_seasonal_1991_2020.nc lat.nc

Thu Dec  1 16:12:11 2022: Appended file lon1.nc had following \"history\" attribute:
Thu Dec  1 16:12:09 2022: ncrename -O -d west_east,lon lon1.nc
Thu Dec  1 16:12:09 2022: ncwa -a south_north lon.nc lon1.nc
Thu Dec  1 16:12:09 2022: ncks -v west_east adriaclim_WRF_su_hist_seasonal_1991_2020.nc lon.nc";
    Int32 HYPSOMETRIC_OPT 2;
    Int32 I_PARENT_START 1;
    String infoUrl "https://cmcc.it";
    String institution "CMCC";
    Int32 ISFTCFLX 0;
    Int32 ISHALLOW 0;
    Int32 ISICE 24;
    Int32 ISLAKE -1;
    Int32 ISOILWATER 14;
    Int32 ISURBAN 1;
    Int32 ISWATER 16;
    Int32 J_PARENT_START 1;
    Int32 JULDAY 365;
    Int32 JULYR 1990;
    String keywords "daily, data, day, forecasting, mean, model, output, over, period, research, temperature, times, v3.5.1, weather, wrf";
    Float32 KHDIF 0.0;
    Int32 KM_OPT 4;
    Float32 KVDIF 0.0;
    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.";
    Int32 MAP_PROJ 3;
    String MAP_PROJ_CHAR "Mercator";
    Int32 MFSHCONV 0;
    String MMINLU "USGS";
    Float32 MOAD_CEN_LAT 40.0;
    Int32 MOIST_ADV_OPT 1;
    Int32 MP_PHYSICS 10;
    String NCO "netCDF Operators version 4.8.1 (Homepage = http://nco.sf.net, Code = https://github.com/nco/nco)";
    Float64 Northernmost_Northing 46.97328;
    Int32 NUM_LAND_CAT 24;
    Int32 OBS_NUDGE_OPT 0;
    Int32 PARENT_GRID_RATIO 1;
    Int32 PARENT_ID 0;
    Float32 POLE_LAT 90.0;
    Float32 POLE_LON 0.0;
    Float32 PREC_ACC_DT 0.0;
    String project "AdriaClim Project-correspondence to CMCC Foundation OPA Division-giorgia.verri@cmcc.it";
    Int32 RA_LW_PHYSICS 4;
    Int32 RA_SW_PHYSICS 4;
    Float32 RADT 10.0;
    Int32 SCALAR_ADV_OPT 1;
    Int32 SF_OCEAN_PHYSICS 0;
    Int32 SF_SFCLAY_PHYSICS 11;
    Int32 SF_SURFACE_PHYSICS 2;
    Int32 SF_URBAN_PHYSICS 0;
    Int32 SGFDDA_END_H 0;
    Int32 SGFDDA_INTERVAL_M 0;
    Int32 SHCU_PHYSICS 0;
    String SIMULATION_START_DATE "1990-01-01_12:00:00";
    Int32 SMOOTH_OPTION 0;
    String sourceUrl "(local files)";
    Int32 SOUTH_NORTH_GRID_DIMENSION 403;
    Int32 SOUTH_NORTH_PATCH_END_STAG 403;
    Int32 SOUTH_NORTH_PATCH_END_UNSTAG 402;
    Int32 SOUTH_NORTH_PATCH_START_STAG 1;
    Int32 SOUTH_NORTH_PATCH_START_UNSTAG 1;
    Float64 Southernmost_Northing 37.00147;
    Int32 SST_UPDATE 1;
    Float32 STAND_LON -13.6;
    String standard_name_vocabulary "CF Standard Name Table v70";
    Int32 STOCH_FORCE_OPT 0;
    String summary "AdriaClim Indicators | adriaclim_WRF | seasonal | hist | tg";
    Int32 SURFACE_INPUT_SOURCE 1;
    Int32 SWINT_OPT 0;
    Float32 SWRAD_SCAT 1.0;
    String TITLE " OUTPUT FROM WRF V3.5.1 MODEL";
    String title "AdriaClim Indicators | adriaclim_WRF | seasonal | hist | tg";
    Int32 TKE_ADV_OPT 1;
    Float32 TRUELAT1 30.0;
    Float32 TRUELAT2 60.0;
    Int32 W_DAMPING 0;
    Int32 WEST_EAST_GRID_DIMENSION 289;
    Int32 WEST_EAST_PATCH_END_STAG 289;
    Int32 WEST_EAST_PATCH_END_UNSTAG 288;
    Int32 WEST_EAST_PATCH_START_STAG 1;
    Int32 WEST_EAST_PATCH_START_UNSTAG 1;
    Float64 Westernmost_Easting 10.0168;
  }
}

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.