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Dataset Title:	AdriaClim RESM - NEMO - projection, 3h - T subgrid 3D
Institution:	CMCC (Dataset ID: adriaclim_resm_nemo_projection_3h_T)
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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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 1.6410006e+9, 2.5560522e+9;
    String axis "T";
    String calendar "gregorian";
    String ioos_category "Time";
    String long_name "Time axis";
    String source_name "time_counter";
    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 39.0, 45.875;
    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 12.0, 20.97917;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Latent_Downward_Heat_Flux {
    Float32 _FillValue 1.0e+20;
    String cell_methods "time: mean (interval: 120 s)";
    Float64 colorBarMaximum 250.0;
    Float64 colorBarMinimum -250.0;
    String interval_operation "120 s";
    String interval_write "3 h";
    String ioos_category "Heat Flux";
    String long_name "Latent Downward Heat Flux over open ocean";
    Float32 missing_value 1.0e+20;
    String online_operation "average";
    String standard_name "surface_downward_latent_heat_flux";
    String units "W/m2";
  }
  Longwave_Downward_Heat_Flux {
    Float32 _FillValue 1.0e+20;
    String cell_methods "time: mean (interval: 120 s)";
    Float64 colorBarMaximum 500.0;
    Float64 colorBarMinimum -500.0;
    String interval_operation "120 s";
    String interval_write "3 h";
    String ioos_category "Heat Flux";
    String long_name "Longwave Downward Heat Flux over open ocean";
    Float32 missing_value 1.0e+20;
    String online_operation "average";
    String standard_name "surface_net_downward_longwave_flux";
    String units "W/m2";
  }
  Sensible_Downward_Heat_Flux {
    Float32 _FillValue 1.0e+20;
    String cell_methods "time: mean (interval: 120 s)";
    Float64 colorBarMaximum 250.0;
    Float64 colorBarMinimum -250.0;
    String interval_operation "120 s";
    String interval_write "3 h";
    String ioos_category "Heat Flux";
    String long_name "Sensible Downward Heat Flux over open ocean";
    Float32 missing_value 1.0e+20;
    String online_operation "average";
    String standard_name "surface_downward_sensible_heat_flux";
    String units "W/m2";
  }
  sohefldo {
    Float32 _FillValue 1.0e+20;
    String cell_methods "time: mean (interval: 120 s)";
    Float64 colorBarMaximum 250.0;
    Float64 colorBarMinimum -250.0;
    String interval_operation "120 s";
    String interval_write "3 h";
    String ioos_category "Heat Flux";
    String long_name "Net Downward Heat Flux";
    Float32 missing_value 1.0e+20;
    String online_operation "average";
    String standard_name "surface_downward_heat_flux_in_sea_water";
    String units "W/m2";
  }
  sosaline {
    Float32 _FillValue 1.0e+20;
    String cell_methods "time: mean (interval: 120 s)";
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String interval_operation "120 s";
    String interval_write "3 h";
    String ioos_category "Salinity";
    String long_name "Sea Surface Salinity";
    Float32 missing_value 1.0e+20;
    String online_operation "average";
    String standard_name "sea_water_practical_salinity";
    String units "PSU";
  }
  sosfldow {
    Float32 _FillValue 1.0e+20;
    String cell_methods "time: mean (interval: 120 s)";
    Float64 colorBarMaximum 2.0e-6;
    Float64 colorBarMinimum -2.0e-6;
    String interval_operation "120 s";
    String interval_write "3 h";
    String ioos_category "Salinity";
    String long_name "Downward salt flux";
    Float32 missing_value 1.0e+20;
    String online_operation "average";
    String units "0.001/m2/s";
  }
  soshfldo {
    Float32 _FillValue 1.0e+20;
    String cell_methods "time: mean (interval: 120 s)";
    Float64 colorBarMaximum 500.0;
    Float64 colorBarMinimum -500.0;
    String interval_operation "120 s";
    String interval_write "3 h";
    String ioos_category "Heat Flux";
    String long_name "Shortwave Radiation";
    Float32 missing_value 1.0e+20;
    String online_operation "average";
    String standard_name "net_downward_shortwave_flux_at_sea_water_surface";
    String units "W/m2";
  }
  sossheig {
    Float32 _FillValue 1.0e+20;
    String cell_methods "time: mean (interval: 120 s)";
    Float64 colorBarMaximum 2.0;
    Float64 colorBarMinimum -2.0;
    String interval_operation "120 s";
    String interval_write "3 h";
    String ioos_category "Sea Level";
    String long_name "sea surface height";
    Float32 missing_value 1.0e+20;
    String online_operation "average";
    String standard_name "sea_surface_height_above_geoid";
    String units "m";
  }
  sosstsst {
    Float32 _FillValue 1.0e+20;
    String cell_methods "time: mean (interval: 120 s)";
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String interval_operation "120 s";
    String interval_write "3 h";
    String ioos_category "Temperature";
    String long_name "Sea Surface Temperature";
    Float32 missing_value 1.0e+20;
    String online_operation "average";
    String standard_name "sea_surface_temperature";
    String units "degree_C";
  }
  sowaflup {
    Float32 _FillValue 1.0e+20;
    String cell_methods "time: mean (interval: 120 s)";
    Float64 colorBarMaximum 200.0;
    Float64 colorBarMinimum 0.0;
    String interval_operation "120 s";
    String interval_write "3 h";
    String ioos_category "Ice Distribution";
    String long_name "Net Upward Water Flux";
    Float32 missing_value 1.0e+20;
    String online_operation "average";
    String standard_name "water_flux_out_of_sea_ice_and_sea_water";
    String units "kg/m2/s";
  }
  wind_speed_module {
    Float32 _FillValue 1.0e+20;
    String cell_methods "time: mean (interval: 120 s)";
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum 0.0;
    String interval_operation "120 s";
    String interval_write "3 h";
    String ioos_category "Wind";
    String long_name "wind speed module";
    Float32 missing_value 1.0e+20;
    String online_operation "average";
    String standard_name "wind_speed";
    String units "m/s";
  }
  NC_GLOBAL {
    String adriaclim_dataset "model";
    String adriaclim_model "NEMO forcing by WRF";
    String adriaclim_scale "adriatic";
    String adriaclim_timeperiod "3h";
    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)";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String dataset "NEMO output files forced by AdriaClim WRF and WRFHydro and by Medcordex ocean NEMOMED8";
    String description "ocean T grid variables";
    Float64 Easternmost_Easting 20.97917;
    Float64 geospatial_lat_max 45.875;
    Float64 geospatial_lat_min 39.0;
    Float64 geospatial_lat_resolution 0.020833333333333332;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 20.97917;
    Float64 geospatial_lon_min 12.0;
    Float64 geospatial_lon_resolution 0.020833341067285384;
    String geospatial_lon_units "degrees_east";
    String history 
"Thu Feb 16 07:45:07 2023: cdo chname,nav_lon,lon,nav_lat,lat /work/opa/wrf_cmcc/Dedy/NEMO_NEW_WIND_ERDDAP/projection/3h/2024/12/ADRIACLIM2_3h_20241204_grid_T.nc.32476 /work/opa/wrf_cmcc/Dedy/NEMO_NEW_WIND_ERDDAP/projection/3h/2024/12/ADRIACLIM2_3h_20241204_grid_T.nc
Thu Feb 16 07:45:07 2023: ncks -A -v nav_lat /tmp/nemo_lat_T.nc /work/opa/wrf_cmcc/Dedy/NEMO_NEW_WIND_ERDDAP/projection/3h/2024/12/ADRIACLIM2_3h_20241204_grid_T.nc.32476
Thu Feb 16 07:45:07 2023: ncks -A -v nav_lon /tmp/nemo_lon_T.nc /work/opa/wrf_cmcc/Dedy/NEMO_NEW_WIND_ERDDAP/projection/3h/2024/12/ADRIACLIM2_3h_20241204_grid_T.nc.32476
Thu Feb 16 07:45:06 2023: ncrename -O -d x,lon -d y,lat /work/opa/wrf_cmcc/Dedy/NEMO_NEW_WIND_ERDDAP/projection/3h/2024/12/ADRIACLIM2_3h_20241204_grid_T.nc.32476
Thu Feb 16 07:45:06 2023: ncks -C -O -x -v total_precip,nav_lon,nav_lat /work/opa/wrf_cmcc/Dedy/NEMO_NEW_WIND/projection/3h/2024/12/ADRIACLIM2_3h_20241204_grid_T.nc /work/opa/wrf_cmcc/Dedy/NEMO_NEW_WIND_ERDDAP/projection/3h/2024/12/ADRIACLIM2_3h_20241204_grid_T.nc.32476
2024-09-18T10:23:16Z (local files)
2024-09-18T10:23:16Z https://erddap-adriaclim.cmcc-opa.eu/griddap/adriaclim_resm_nemo_projection_3h_T.das";
    String history_of_appended_files 
"Tue Oct 11 16:08:22 2022: Appended file /work/opa/vs15521/AdriaClim/SSH_steric2/files/3h/historical/SSH_calibrated_Reanalysis_historical_3h_19931031.nc had following \"history\" attribute:
Tue Oct 11 09:54:27 2022: ncrename -O -d time,time_counter files/3h/historical/SSH_calibrated_Reanalysis_historical_3h_19931031.nc
Tue Oct 11 16:08:21 2022: Appended file /work/opa/wrf_cmcc/Dedy/NEMO/nemo_lat.nc had following \"history\" attribute:
Tue Oct  4 14:21:24 2022: ncrename -O -d y,lat /work/opa/wrf_cmcc/Dedy/NEMO/nemo_lat.nc
Tue Oct  4 14:21:24 2022: ncwa -a x /work/opa/wrf_cmcc/Dedy/NEMO/nemo_lat.nc.1 /work/opa/wrf_cmcc/Dedy/NEMO/nemo_lat.nc
Tue Oct  4 14:21:24 2022: ncks -v nav_lat /data/products/ADRIACLIM_RESM/NEMO/historical/3h/1992/01_spinup/ADRIACLIM2_3h_19920129_grid_V.nc /work/opa/wrf_cmcc/Dedy/NEMO/nemo_lat.nc.1
Tue Oct 11 16:08:21 2022: Appended file /work/opa/wrf_cmcc/Dedy/NEMO/nemo_lon.nc had following \"history\" attribute:
Tue Oct  4 14:21:24 2022: ncrename -O -d x,lon /work/opa/wrf_cmcc/Dedy/NEMO/nemo_lon.nc
Tue Oct  4 14:21:24 2022: ncwa -a y /work/opa/wrf_cmcc/Dedy/NEMO/nemo_lon.nc.23608 /work/opa/wrf_cmcc/Dedy/NEMO/nemo_lon.nc
Tue Oct  4 14:21:24 2022: ncks -v nav_lon /data/products/ADRIACLIM_RESM/NEMO/historical/3h/1992/01_spinup/ADRIACLIM2_3h_19920129_grid_V.nc /work/opa/wrf_cmcc/Dedy/NEMO/nemo_lon.nc.23608";
    String infoUrl "https://cmcc.it";
    String institution "CMCC";
    String keywords "above, atmosphere, atmospheric, budget, calibrated, cmems, counter, cryosphere, data, density, distribution, downward, earth, 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 Winds > Surface Winds, Earth Science > Cryosphere > Sea Ice > Ice Growth/Melt, Earth Science > Oceans > Ocean Heat Budget > Heat Flux, Earth Science > Oceans > Ocean Heat Budget > Longwave Radiation, Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature, Earth Science > Oceans > Salinity/Density > Salinity, Earth Science > Oceans > Sea Ice > Ice Growth/Melt, Earth Science > Oceans > Sea Surface Topography > Sea Surface Height, Earth Science > Solid Earth > Geodetics/Gravity > Geoid Properties, flux, geodetics, geoid, gravity, grid, growth, heat, heat flux, height, ice, ice distribution, latent, Latent_Downward_Heat_Flux, level, longwave, Longwave_Downward_Heat_Flux, melt, module, net, net_downward_shortwave_flux_at_sea_water_surface, ocean, oceans, open, out, over, practical, properties, radiation, reanalysis, salinity, salt, science, sea, sea level, sea_surface_height_above_geoid, sea_surface_height_above_geoid calibrated, sea_surface_temperature, sea_water_practical_salinity, seawater, sensible, Sensible_Downward_Heat_Flux, shortwave, sohefldo, solid, sosaline, sosfldow, soshfldo, sossheig, sosstsst, sowaflup, speed, SSH_C, surface, surface_downward_heat_flux_in_sea_water, surface_downward_latent_heat_flux, surface_downward_sensible_heat_flux, surface_net_downward_longwave_flux, temperature, time, time_counter, topography, upward, using, water, water_flux_out_of_sea_ice_and_sea_water, wind, wind_speed, wind_speed_module, winds";
    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 name "ADRIACLIM2_3h_20241130_20241206_grid_T";
    String NCO "netCDF Operators version 4.9.3 (Homepage = http://nco.sf.net, Code = https://github.com/nco/nco)";
    Float64 Northernmost_Northing 45.875;
    String project "AdriaClim Project-correspondence to CMCC Foundation OPA Division - giorgia.verri@cmcc.it";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 39.0;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "AdriaClim RESM - NEMO - projection, 3h - T subgrid 3D";
    String time_coverage_end "2050-12-30T22:30:00Z";
    String time_coverage_start "2022-01-01T01:30:00Z";
    String timeStamp "2023-Jan-30 21:11:26 GMT";
    String title "AdriaClim RESM - NEMO - projection, 3h - T subgrid 3D";
    String uuid "8397c957-6adf-4242-9767-2da01b4dae73";
    Float64 Westernmost_Easting 12.0;
  }
}

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.