Institute for Marine and Atmospheric Research Utrecht (IMAU) Antarctic automatic weather station data,  including surface radiation balance (1995–2022)

van Tiggelen, Maurice; Smeets, Paul C. J. P.; Reijmer, Carleen H.; Kuipers Munneke, Peter; van den Broeke, Michiel R.

doi:https://doi.org/10.5194/essd-17-4933-2025

Articles | Volume 17, issue 9

https://doi.org/10.5194/essd-17-4933-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-17-4933-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 17, issue 9

Data description paper

|

26 Sep 2025

Data description paper |

| 26 Sep 2025

Institute for Marine and Atmospheric Research Utrecht (IMAU) Antarctic automatic weather station data, including surface radiation balance (1995–2022)

Maurice van Tiggelen, Paul C. J. P. Smeets, Carleen H. Reijmer, Peter Kuipers Munneke, and Michiel R. van den Broeke

Data sets

IMAU Antarctic automatic weather station data, including surface radiation balance (1995-2022) Maurice van Tiggelen et al. https://doi.org/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.15082295

Short summary

This paper describes the measurements from the 19 IMAU (Institute for Marine and Atmospheric research Utrecht) automatic weather stations that operated on the Antarctic ice sheet from 1995 through 2022. These stations also measured the net surface radiation and surface height change, allowing for the quantification of the surface energy and mass balance at hourly resolution. These data are invaluable for the evaluation of atmospheric models and for the detection of climatological changes.