AntAir: satellite-derived 1km daily Antarctic air temperatures 2003-2016, links to GeoTIFFs
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| Auteurs principaux: | , , , , , , |
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| Format: | Dataset Open Access |
| Langue: | en |
| Publié: |
PANGAEA
2019
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| _version_ | 1867171862895656960 |
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| author | Meyer, Hanna Katurji, Marwan Detsch, Florian Morgan, Fraser Nauss, Thomas Roudier, Pierre Zawar-Reza, Peyman |
| author_facet | Meyer, Hanna Katurji, Marwan Detsch, Florian Morgan, Fraser Nauss, Thomas Roudier, Pierre Zawar-Reza, Peyman |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | AntAir is a dataset of gridded air temperatures in 1km spatial and daily temporal resolution currently available for the years 2003-2016. AntAir was created by modelling daily air temperature from MODIS land surface temperature using machine learning algorithms. Data from 70 weather stations was used as a reference. The dataset covers the entire continent of Antarctica in 1km spatial resolution for the period 2003 to 2016. Each year consists of 365 raster layers that represent the predicted air temperature for the respective day. The raster layers are distributed using the GeoTIFF format and the Antarctic Polar Stereographic projection (EPSG 3031). The unit of the values is degree Celsius * 10. Clouded areas where no air temperature predictions could be made for are marked as no data. |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_902166 |
| institution | PANGAEA |
| language | en |
| publishDate | 2019 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | AntAir: satellite-derived 1km daily Antarctic air temperatures 2003-2016, links to GeoTIFFs Meyer, Hanna Katurji, Marwan Detsch, Florian Morgan, Fraser Nauss, Thomas Roudier, Pierre Zawar-Reza, Peyman Antarctica; Climate change; File content; File format; File name; File size; machine learning; MODIS; pan-Antarctica; remote sensing; Temperature; Uniform resource locator/link to file AntAir is a dataset of gridded air temperatures in 1km spatial and daily temporal resolution currently available for the years 2003-2016. AntAir was created by modelling daily air temperature from MODIS land surface temperature using machine learning algorithms. Data from 70 weather stations was used as a reference. The dataset covers the entire continent of Antarctica in 1km spatial resolution for the period 2003 to 2016. Each year consists of 365 raster layers that represent the predicted air temperature for the respective day. The raster layers are distributed using the GeoTIFF format and the Antarctic Polar Stereographic projection (EPSG 3031). The unit of the values is degree Celsius * 10. Clouded areas where no air temperature predictions could be made for are marked as no data. |
| title | AntAir: satellite-derived 1km daily Antarctic air temperatures 2003-2016, links to GeoTIFFs |
| topic | Antarctica; Climate change; File content; File format; File name; File size; machine learning; MODIS; pan-Antarctica; remote sensing; Temperature; Uniform resource locator/link to file |
| url | https://doi.org/10.1594/PANGAEA.902166 |