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  • Automated weather stations were installed to measure local scale weather conditions at Miers Valley, Miers Ridge, Commonwealth Glacier, Cape Christie, and Haystack Mountain. Miers Valley, Miers Ridge and Haystack Mountain stations have been operating since early 2021, Haystack, Commonwealth Glacier and Cape Christie were installed in December 2021, 2022, and 2023, respectively. Data are available on request in NetCDF. Parameters: - average air temperature (C) - average relative humidity (%) - average short wave in (W/m2) - average pressure (hPa) - wind speed (ms-1) - wind direction (true bearing degrees) - wind standard deviation Coordinates: - Miers Valley (-78.09805, 163.794283) - Miers Ridge (-78.123205, 163.863319) - Commonwealth Glacier (-77.563987, 163.281064) - Cape Christie (-72.29722222, 169.9847222) - Haystack Mountain (-77.05, 162.585) GET DATA:

  • 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. Python 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: 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. Related Publication: GET DATA: