{
    "@context": "http://schema.org/",
    
      "@type": "Dataset",
    
    
    "@id": "https://antcat.antarcticanz.govt.nz/geonetwork/cat/api/records/7c6288b5-80e2-447d-8bdb-6e3cec4424e0",
    "includedInDataCatalog":[{"@type":"DataCatalog","url":"https://antcat.antarcticanz.govt.nz/geonetwork/cat/search#","name":""}],
    
    "inLanguage":"eng",
    
    "name": "Antarctic Daily Mesoscale Air Temperature Dataset Derived from Remotely Sensed Land and Ice Surface Temperature \u2013 AntAir ICE",

    
    "alternateName": [
    ],
    "dateCreated": [
    
      "2023-11-27T00:00:00"],
    "dateModified": [
    ],
    "datePublished": [
    
      "2023-11-27T00:00:00"],
    "thumbnailUrl": [
    
      "https://antcat.antarcticanz.govt.nz:/geonetwork/srv/api/records/7c6288b5-80e2-447d-8bdb-6e3cec4424e0/attachments/marwan_asp.png"],
    "description": "AntAir ICE is an air temperature dataset for terrestrial Antarctica, the ice shelves, and the seasonal sea ice around Antarctica in a 1km2 spatial grid resolution and a daily temporal resolution available from 2003-2021. AntAir ICE was produced by modelling air temperature from MODIS ice surface temperature and land surface temperature using linear models. In-situ measurements of air temperature from 117 Automatic Weather Stations were used as the response variable. Each day has a bricked spatial raster with two layers, saved as a GeoTIFF format and in the Antarctic Polar Stereographic projection (EPSG 3031). The first layer is the predicted near surface air temperature for that day in degree Celsius * 10 and the second layer is the number of available MODIS scenes for that day ranging from 0 to 4. Areas with cloud contamination or without sea ice are marked with no data. Files for each year (2003-2021) are compressed with a ZIP files for each quarter.\n\nPython 3.8 was used for conversion of the MODIS products from HDF files to raster and all data handling and processing was thereafter done in R version 4.0.0. All data processing and modelling procedures are available as R scripts on a public Github repository: https:\/\/github.com\/evabendix\/AntAir-ICE. Using this code it is possible to download new available MODIS LST and IST scenes and apply the model to continue the near-surface air temperature dataset.\n\nRelated Publication: https:\/\/doi.org\/10.1038\/s41597-023-02720-z\n\nGET DATA: https:\/\/doi.org\/10.1594\/PANGAEA.954750",

    
    
    
      "identifier": "https://doi.org/10.1594/PANGAEA.954750",
    


    
    "keywords":[
    "","AIR TEMPERATURE","WEATHER STATIONS","AWS","Passive Remote Sensing","MODIS","ANTARCTICA","ASP"
    ]


    
    ,"creator": [

          {
          
          
          "@type":"Person"
          
            ,"name": "Bendix Nielsen, E."
            ,"email":  ["eva.nielsen@pg.canterbury.ac.nz"]
          

          
          ,"contactPoint": {
          "@type" : "PostalAddress"
          
          }
          }

          ]
        ,"publisher": [

          {
          

          
          "@type":"Organization"
          
            ,"name": "PANGAEA"
            ,"email":  ["info@pangaea.de"]
          

          
          ,"contactPoint": {
          "@type" : "PostalAddress"
          
          }
          }


          ]

        

    
    
    ,"distribution": [
    
      {
      "@type":"DataDownload",
      "contentUrl": "https:\/\/doi.org\/10.1594\/PANGAEA.954750",
      "encodingFormat": "WWW:LINK-1.0-http--link",
      "name": "Distribution Metadata"
      
      }]
    
      ,"encodingFormat": [
      
      ]
    


    ,"spatialCoverage": [
    
      {"@type":"Place",
      "description": [
      
      ],
      "geo": [
      
        {"@type":"GeoShape",
        "box": "-90.00 -160.00 -55.00 -40.00"
        },
        {"@type":"GeoShape",
        "box": "-90.00 40.00 -55.00 160.00"
        }
      ]
      }]

    ,"temporalCoverage": [
    
      "2003-01-01/2021-01-01"
      ]


    
      ,"license": [
          {
          "@type": "CreativeWork",
          "name": "This data set conforms to the CC BY Attribution License (https:\/\/creativecommons.org\/licenses\/by\/4.0\/)"
          }
        ]
    
    
    
    

    , "citation": "Bendix Nielsen, E., Katurji, M., Zawar-Reza, P., Meyer, H.,  (
    2023
    ) Antarctic Daily Mesoscale Air Temperature Dataset Derived from Remotely Sensed Land and Ice Surface Temperature – AntAir ICE.
    PANGAEA.
        https://doi.org/10.1594/PANGAEA.954750,
    Accessed: 2026-05-26+12:00"

    }