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Dataset Title:  AdriaClim Indicators | B04, Max Brunt-Vaisala Frequency | projection Subscribe RSS
Institution:  UNIBO   (Dataset ID: BO4_8b21_a153_7b5b)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
 
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (Time axis, UTC) ?      240    30 days 10h 20m 35s (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) 
 MaxBV (Max Brunt Vaisala Frequency, circle hour-1) ?

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 1.9263744e+9, 2.5547616e+9;
    String axis "T";
    String calendar "proleptic_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";
  }
  MaxBV {
    Float32 _FillValue NaN;
    String cell_methods "time_counter: mean";
    String ioos_category "Time";
    String long_name "Max Brunt Vaisala Frequency";
    Float32 missing_value NaN;
    String standard_name "max brunt vaisala frequency";
    String units "circle hour-1";
  }
  NC_GLOBAL {
    String adriaclim_dataset "indicator";
    String adriaclim_scale "adriatic";
    String adriaclim_timeperiod "monthly";
    String adriaclim_type "timeseries";
    String CDI "Climate Data Interface version 2.1.1 (https://mpimet.mpg.de/cdi)";
    String cdm_data_type "Grid";
    String CDO "Climate Data Operators version 2.1.1 (https://mpimet.mpg.de/cdo)";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creator_name "unibo";
    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;
    String frequency "mon";
    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 
"2024-09-18T10:15:31Z (local files)
2024-09-18T10:15:31Z https://erddap-adriaclim.cmcc-opa.eu/erddap/griddap/BO4_8b21_a153_7b5b.das";
    String infoUrl "https://www.unibo.it";
    String institution "UNIBO";
    String keywords "adriaclim, b04, brunt, brunt-vaisala, counter, data, frequency, max, max brunt vaisala frequency, MaxBV, nemo, projection, resm, time, time_counter, unibo, vaisala";
    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_20301228_20310103_grid_T";
    String NCO "netCDF Operators version 5.1.4 (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 | B04 - Brunt-Vaisala Frequency. ocean T grid variables. unibo data from a local source.";
    String time_coverage_end "2050-12-16T00:00:00Z";
    String time_coverage_start "2031-01-17T00:00:00Z";
    String timeStamp "2023-Feb-01 11:33:06 GMT";
    String title "AdriaClim Indicators | B04, Max Brunt-Vaisala Frequency | projection";
    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.

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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