the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
IMAU Antarctic automatic weather station data, including surface radiation balance (1995–2022)
Abstract. In cooperation with multiple institutes, the Institute for Marine and Atmospheric research Utrecht (IMAU) at Utrecht University has operated automated weather stations (AWS) at 19 locations on the Antarctic ice sheet from 1995 through 2022. Besides standard meteorological measurements (pressure, temperature, humidity, wind speed & direction), these stations include measured shortwave and longwave radiation components and surface height, thereby allowing for the reliable in situ quantification of the surface energy balance (SEB) and surface mass balance (SMB) at (two-)hourly temporal resolution. This unique dataset can be used for climate model evaluation and development, for the validation of remote sensing products, for the quantification of long term climatological changes, for the interpretation of ice cores, and for process understanding in general. This paper describes the dataset and the applied measurement corrections. The total dataset contains 154 station-years of data, of which 65 % include both SEB & SMB observations, and is available at https://doi.pangaea.de/10.1594/PANGAEA.974080 (Van Tiggelen et al, 2024).
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Data sets
IMAU Antarctic automatic weather station data, including surface radiation balance (1995-2022) Maurice van Tiggelen et al. https://doi.pangaea.de/10.1594/PANGAEA.974080
Model code and software
MATLAB scripts used to process the IMAU Antarctic automatic weather station data, including surface radiation balance (1995-2022) Maurice van Tiggelen et al. https://doi.org/10.5281/zenodo.15101447
IMAU-IceEddie: Python scripts used to process the IMAU Antarctic automatic weather station data, including surface radiation balance (1995-2022) Maurice van Tiggelen et al. https://doi.org/10.5281/zenodo.15058515
IMAU-pyEBM: Python energy balance model for snow and ice Maurice van Tiggelen et al. https://doi.org/10.5281/zenodo.15082294
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