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Dataset Title:  ULB data from a local source. Subscribe RSS
Institution:  ULB   (Dataset ID: SSP585_FWF_1990_2300)
Information:  Summary ? | License ? | Metadata | Background (external link) | Files | Make a graph
 
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 quantile (count) ?      5    1.0 (even)
  < slider >
 time2 (Time, years) ?      311    1.0 (even)
  < slider >
 basin (count) ?      27    1.0 (even)
  < slider >
 
Grid Variables (which always also download all of the dimension variables) 
 Net_Mass_Balance (Gt/yr) ?
 Surface_Mass_Balance_Fluxes (Gt/yr) ?
 Sub_Shelf_Melt_Fluxes (Gt/yr) ?
 Calving_Fluxes (Calving, Gt/yr) ?

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 {
  quantile {
    Int32 actual_range 0, 4;
    String long_name "Quantile";
    String units "count";
  }
  time2 {
    Float32 actual_range 1990.0, 2300.0;
    String long_name "Time";
    String standard_name "time";
    String units "years";
  }
  basin {
    Int16 actual_range 0, 26;
    String long_name "Basin";
    String units "count";
  }
  Net_Mass_Balance {
    String long_name "Net Mass Balance";
    String standard_name "net_mass_balance";
    String units "Gt/yr";
  }
  Surface_Mass_Balance_Fluxes {
    String long_name "SMB";
    String standard_name "smb";
    String units "Gt/yr";
  }
  Sub_Shelf_Melt_Fluxes {
    String long_name "Sub Shelf Melt";
    String standard_name "sub_shelf_melt";
    String units "Gt/yr";
  }
  Calving_Fluxes {
    String long_name "Calving";
    String standard_name "calving";
    String units "Gt/yr";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String contact "violaine.coulon@ulb.be";
    String Conventions "CF-1.10, COARDS, ACDD-1.3";
    String creator_email "violaine.coulon@ulb.be";
    String creator_name "Violaine Coulon";
    String creator_type "person";
    String history 
"2025-01-18T05:14:48Z (local files)
2025-01-18T05:14:48Z https://er1.s4oceanice.eu/erddap/griddap/SSP585_FWF_1990_2300.das";
    String info "Kori-ULB, Laboratoire de Glaciologie, Université Libre de Bruxelles, Brussels, BE";
    String infoUrl "???";
    String institution "ULB";
    String keywords "balance, basin, calving, Calving_Fluxes, data, local, mass, melt, net, net_mass_balance, quantile, shelf, smb, source, sub, Sub-Shelf_Melt_Fluxes, sub_shelf_melt, Surface_Mass_Balance_Fluxes, time, ulb";
    String license "CC-BY4.0";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "ULB data from a local source.";
    String title "ULB data from a local source.";
  }
}

 

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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