Nielsen, Eva Sofie Bendix; Katurji, Marwan; Zawar-Reza, Peyman; Meyer, Hanna (2023): Antarctic daily mesoscale air temperature dataset derived from remotely sensed land and ice surface temperature – AntAir ICE [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.954750
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Abstract:
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.
Supplement to:
Nielsen, Eva Sofie Bendix; Katurji, Marwan; Zawar-Reza, Peyman; Meyer, Hanna (2023): Antarctic daily mesoscale air temperature dataset derived from MODIS land and ice surface temperature. Scientific Data, 10, 833, https://doi.org/10.1038/s41597-023-02720-z
Coverage:
Latitude: -90.000000 * Longitude: 0.000000
Comment:
The dataset is in a GeoTIFF format and in the Antarctic Polar Stereographic projection (EPSG 3031) with one file per day. Each day is a bricked spatial raster with two layers; the first layer is the predicted near surface air temperature for that day in degree Celsius using a scaling factor of 0.1, the second layer is the number of available MODIS scenes for each grid cell for that day ranging from 0 to 4. Areas with cloud contamination or without sea ice are marked with no data. The files are names AntAir_ICE_<YYYY>_<DOY>.tif, where <YYYY> represents the year and <DOY> represents the day of year. Files for each year (2003-2021) are divided into quarters with January, February, March as 1, April, May, June as 2, July, August, September as 3 and October, November, December as 4 and compressed to ZIP files.
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | File content | Content | Nielsen, Eva Sofie Bendix | |||
| 2 | Binary Object | Binary | Nielsen, Eva Sofie Bendix | |||
| 3 | Binary Object (File Size) | Binary (Size) | Bytes | Nielsen, Eva Sofie Bendix |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Basic curation (CurationLevelB)
Size:
152 data points