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Dataset Title:	OCEAN ICE - Future freshwater fluxes from the Antarctic ice sheet - high emission scenario
Institution:	ULB (Dataset ID: SSP585_FWF_1990_2300_AIS)
Information:	Summary \| License \| Metadata \| Background \| Data Access Form \| Files

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Graph Type:
X Axis:
Y Axis:
Color:

Dimensions

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Stop

quantile (quantile)

time2 (year)

specify just 1 value →

basin (count)

specify just 1 value →

Graph Settings

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[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 {
  quantile {
    Float32 actual_range 0.05, 0.95;
    String long_name "Quantile";
    String parameter_sdn_uri "SDN:S01::S0112";
    String parameter_sdn_urn "https://vocab.nerc.ac.uk/collection/S01/current/S0112/";
    String standard_name "quantile";
    String units "quantile";
  }
  time2 {
    Float32 actual_range 1990.0, 2300.0;
    String long_name "Time";
    String parameter_sdn_uri "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX//";
    String parameter_sdn_urn "SDN:P01::YEARXXXX";
    String standard_name "time";
    String unit_sdn_name "Years";
    String unit_sdn_uri "SDN:P06::UYRS";
    String unit_sdn_urn "https://vocab.nerc.ac.uk/collection/P06/current/UYRS/";
    String units "year";
  }
  basin {
    Int16 actual_range 0, 0;
    String long_name "Basin";
    String units "count";
  }
  Net_Mass_Balance {
    String long_name "Net Mass Balance";
    String parameter_sdn_uri "SDN:P04::G494";
    String parameter_sdn_urn "https://vocab.nerc.ac.uk/collection/P04/current/G494/";
    String standard_name "net_mass_balance";
    String units "Gigatonne year-1";
  }
  Surface_Meltwater_Runoff_Fluxes {
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Surface Runoff";
    String parameter_sdn_uri "SDN:P07::CFSN0248";
    String parameter_sdn_urn "https://vocab.nerc.ac.uk/collection/P07/current/CFSN0248/";
    String standard_name "surface_runoff_amount";
    String units "Gigatonne year-1";
  }
  Sub_Shelf_Melt_Fluxes {
    String long_name "Sub Shelf Melt";
    String standard_name "sub_shelf_melt";
    String units "Gigatonne year-1";
  }
  Calving_Fluxes {
    String long_name "Calving";
    String standard_name "calving";
    String units "Gigatonne year-1";
  }
  NC_GLOBAL {
    String acknowledgement "Coulon, V., De Rydt, J., Gregov, T., Qin, Q., Pattyn, F. (2024). Future freshwater fluxes from the Antarctic ice sheet [Data set]. Zenodo. https://doi.org/10.5281/zenodo.14162776";
    String cdm_data_type "Grid";
    String Conventions "CF-1.10, COARDS, ACDD-1.3";
    String creator_name "Violaine Coulon";
    String creator_type "person";
    String data_creation "2024-11-14";
    String data_doi "https://doi.org/10.5281/zenodo.14162775";
    String data_format_original "NetCDF";
    String history 
"2025-04-03T19:39:26Z (local files)
2025-04-03T19:39:26Z https://er1.s4oceanice.eu/griddap/SSP585_FWF_1990_2300_AIS.das";
    String infoUrl "https://agupubs.onlinelibrary.wiley.com/doi/epdf/10.1029/2024GL111250";
    String institution "ULB";
    String institution_edmo_code "717";
    String institution_edmo_uri "https://edmo.seadatanet.org/report/2062";
    String institution_ror_code "01r9htc13";
    String institution_ror_uri "https://ror.org/01r9htc13";
    String keywords "balance, basin, calving, Calving_Fluxes, data, EARTH SCIENCE>CLIMATE INDICATORS>CRYOSPHERIC INDICATORS>GLACIAL MEASUREMENTS>GLACIER MASS BALANCE/ICE SHEET MASS BALANCE, 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 keywords_vocabulary "GCMD";
    String license "CC-BY 4.0";
    String license_url "https://creativecommons.org/licenses/by/4.0/";
    String naming_authority "OCEAN ICE";
    String publisher_name "Zenodo";
    String publisher_type "Group";
    String publisher_url "https://zenodo.org/records/14162776";
    String references "https://zenodo.org/records/15031532";
    String source "Kori-ULB ice-sheet model v0.91";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "This dataset contains yearly timeseries of the [5 25 50 75 95] percentiles for the calibrated probabilistic projections of Antarctic net mass balance, surface meltwater runoff, sub-shelf melt, and calving fluxes (in Gt/yr) for the Antarctic Ice Sheet under a high emission scenario.";
    String title "OCEAN ICE - Future freshwater fluxes from the Antarctic ice sheet - high emission scenario";
  }
}

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.

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