Articles | Volume 18, issue 9
https://doi.org/10.5194/tc-18-4355-2024
https://doi.org/10.5194/tc-18-4355-2024
Research article
 | 
23 Sep 2024
Research article |  | 23 Sep 2024

How well can satellite altimetry and firn models resolve Antarctic firn thickness variations?

Maria T. Kappelsberger, Martin Horwath, Eric Buchta, Matthias O. Willen, Ludwig Schröder, Sanne B. M. Veldhuijsen, Peter Kuipers Munneke, and Michiel R. van den Broeke

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Cited articles

Abshire, J., Sun, X., Riris, H., Sirota, J., MCGarry, J., Palm, S., Yi, D., and Liiva, P.: Geoscience Laser Altimeter System (GLAS) on the ICESat Mission: On–orbit measurement performance, Geophys. Res. Lett., 32, L21S02, https://doi.org/10.1029/2005GL024028, 2005. a
Agosta, C., Amory, C., Kittel, C., Orsi, A., Favier, V., Gallée, H., van den Broeke, M. R., Lenaerts, J. T. M., van Wessem, J. M., van de Berg, W. J., and Fettweis, X.: Estimation of the Antarctic surface mass balance using the regional climate model MAR (1979–2015) and identification of dominant processes, The Cryosphere, 13, 281–296, https://doi.org/10.5194/tc-13-281-2019, 2019. a, b, c
Amory, C., Buizert, C., Buzzard, S., Case, E., Clerx, N., Culberg, R., Datta, R., Dey, R., Drews, R., Dunmire, D., Eayrs, C., Hansen, N., Humbert, A., Kaitheri, A., Keegan, K., Kuipers Munneke, P., Lenaerts, J., Lhermitte, S., Mair, D., McDowell, I., Mejia, J., Meyer, C., Morris, E., Moser, D., Oraschewski, F., Pearce, E., de Roda Husman, S., Schlegel, N.-J., Schultz, T., Simonsen, S., Stevens, C., Thomas, E., Thompson-Munson, M., Wever, N., and Wouters, B.: Firn on ice sheets, Nat. Rev. Earth Environ., 5, 79–99, https://doi.org/10.1038/s43017-023-00507-9, 2024. a
Arthern, R., Vaughan, D., Rankin, A., Mulvaney, R., and Thomas, E.: In situ measurements of Antarctic snow compaction compared with predictions of models, J. Geophys. Res., 115, F03011, https://doi.org/10.1029/2009JF001306, 2010. a
Bodart, J. and Bingham, R.: The Impact of the Extreme 2015-16 El Niño on the Mass Balance of the Antarctic Ice Sheet, Geophys. Res. Lett., 46, 13862–13871, https://doi.org/10.1029/2019GL084466, 2019. a
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The interannual variations in the height of the Antarctic Ice Sheet (AIS) are mainly due to natural variations in snowfall. Precise knowledge of these variations is important for the detection of any long-term climatic trends in AIS surface elevation. We present a new product that spatially resolves these height variations over the period 1992–2017. The product combines the strengths of atmospheric modeling results and satellite altimetry measurements.