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Dataset Title:  AdriaClim RESM - NEMO - historical, day - T subgrid 4D Subscribe RSS
Institution:  CMCC   (Dataset ID: adriaclim_resm_nemo_historical_day_T_depth)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
 
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (Time axis, UTC) ?      10592    1 day (even)
  < slider >
 depth (m) ?      120    22.09147 (uneven)
  < slider >
 latitude (degrees_north) ?      331    0.02083333 (even)
  < slider >
 longitude (degrees_east) ?      432    0.02083334 (even)
  < slider >
 
Grid Variables (which always also download all of the dimension variables) 
 vosaline (Sea Water Salinity, PSU) ?
 votemper (Sea Water Potential Temperature, degree_C) ?

File type: (more information)

(Documentation / Bypass this form) ?
 
(Please be patient. It may take a while to get the data.)


 

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 6.942672e+8, 1.6093296e+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";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float32 actual_range 0.4126711, 2629.298;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth";
    String name "deptht";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  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";
  }
  vosaline {
    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 "1 d";
    String ioos_category "Salinity";
    String long_name "Sea Water Salinity";
    Float32 missing_value 1.0e+20;
    String online_operation "average";
    String standard_name "sea_water_practical_salinity";
    String units "PSU";
  }
  votemper {
    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 "1 d";
    String ioos_category "Temperature";
    String long_name "Sea Water Potential Temperature";
    Float32 missing_value 1.0e+20;
    String online_operation "average";
    String standard_name "sea_water_potential_temperature";
    String units "degree_C";
  }
  NC_GLOBAL {
    String adriaclim_dataset "model";
    String adriaclim_model "NEMO forcing by WRF";
    String adriaclim_scale "adriatic";
    String adriaclim_timeperiod "day";
    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 18:56:54 2023: cdo chname,nav_lon,lon,nav_lat,lat,deptht,depth,deptht_bnds,depth_bnds /work/opa/wrf_cmcc/Dedy/NEMO_NEW_WIND_ERDDAP/historical/day/2016/12/ADRIACLIM2_1d_20161208_grid_T.nc.17645 /work/opa/wrf_cmcc/Dedy/NEMO_NEW_WIND_ERDDAP/historical/day/2016/12/ADRIACLIM2_1d_20161208_grid_T.nc
Thu Feb 16 18:56:54 2023: ncks -A -v nav_lat /tmp/nemo_lat_T.nc /work/opa/wrf_cmcc/Dedy/NEMO_NEW_WIND_ERDDAP/historical/day/2016/12/ADRIACLIM2_1d_20161208_grid_T.nc.17645
Thu Feb 16 18:56:53 2023: ncks -A -v nav_lon /tmp/nemo_lon_T.nc /work/opa/wrf_cmcc/Dedy/NEMO_NEW_WIND_ERDDAP/historical/day/2016/12/ADRIACLIM2_1d_20161208_grid_T.nc.17645
Thu Feb 16 18:56:53 2023: ncrename -O -d x,lon -d y,lat /work/opa/wrf_cmcc/Dedy/NEMO_NEW_WIND_ERDDAP/historical/day/2016/12/ADRIACLIM2_1d_20161208_grid_T.nc.17645
Thu Feb 16 18:56:53 2023: ncks -C -O -x -v nav_lon,nav_lat /work/opa/wrf_cmcc/Dedy/NEMO_NEW_WIND/historical/day/2016/12/ADRIACLIM2_1d_20161208_grid_T.nc /work/opa/wrf_cmcc/Dedy/NEMO_NEW_WIND_ERDDAP/historical/day/2016/12/ADRIACLIM2_1d_20161208_grid_T.nc.17645
2024-11-06T19:24:47Z (local files)
2024-11-06T19:24:47Z https://erddap-adriaclim.cmcc-opa.eu/erddap/griddap/adriaclim_resm_nemo_historical_day_T_depth.das";
    String history_of_appended_files 
"Tue Oct 11 16:48:42 2022: Appended file /work/opa/vs15521/AdriaClim/SSH_steric2/files/daily/historical/SL_calibrated_SLA_satellite_historical_daily_19931031.nc had following \"history\" attribute:
Tue Oct 11 09:54:26 2022: ncrename -O -d time,time_counter files/daily/historical/SL_calibrated_SLA_satellite_historical_daily_19931031.nc
Tue Oct 11 16:48:42 2022: Appended file /work/opa/vs15521/AdriaClim/SSH_steric2/files/daily/historical/SL_calibrated_Reanalysis_historical_daily_19931031.nc had following \"history\" attribute:
Tue Oct 11 09:54:26 2022: ncrename -O -d time,time_counter files/daily/historical/SL_calibrated_Reanalysis_historical_daily_19931031.nc
Tue Oct 11 16:48:42 2022: Appended file /work/opa/vs15521/AdriaClim/SSH_steric2/files/daily/historical/SSH_calibrated_Reanalysis_historical_daily_19931031.nc had following \"history\" attribute:
Tue Oct 11 09:54:26 2022: ncrename -O -d time,time_counter files/daily/historical/SSH_calibrated_Reanalysis_historical_daily_19931031.nc
Tue Oct 11 16:48:41 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 16:48:41 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 "counter, data, density, depth, earth, Earth Science > Oceans > Ocean Temperature > Potential Temperature, Earth Science > Oceans > Salinity/Density > Salinity, grid, ocean, oceans, potential, practical, salinity, science, sea, sea_water_potential_temperature, sea_water_practical_salinity, seawater, temperature, time, time_counter, vosaline, votemper, water";
    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_1d_20161207_20161213_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 - historical, day - T subgrid 4D";
    String time_coverage_end "2020-12-30T12:00:00Z";
    String time_coverage_start "1992-01-01T12:00:00Z";
    String timeStamp "2023-Feb-01 02:56:42 GMT";
    String title "AdriaClim RESM - NEMO - historical, day - T subgrid 4D";
    String uuid "e7a39bd5-d3d1-40a8-83c8-68ccd2eacbf4";
    Float64 Westernmost_Easting 12.0;
  }
}

 

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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.

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.


 
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