Articles | Volume 17, issue 2
https://doi.org/10.5194/tc-17-889-2023
https://doi.org/10.5194/tc-17-889-2023
Research article
 | 
21 Feb 2023
Research article |  | 21 Feb 2023

Towards long-term records of rain-on-snow events across the Arctic from satellite data

Annett Bartsch, Helena Bergstedt, Georg Pointner, Xaver Muri, Kimmo Rautiainen, Leena Leppänen, Kyle Joly, Aleksandr Sokolov, Pavel Orekhov, Dorothee Ehrich, and Eeva Mariatta Soininen

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Cited articles

Al Bitar, A., Mialon, A., Kerr, Y. H., Cabot, F., Richaume, P., Jacquette, E., Quesney, A., Mahmoodi, A., Tarot, S., Parrens, M., Al-Yaari, A., Pellarin, T., Rodriguez-Fernandez, N., and Wigneron, J.-P.: The global SMOS Level 3 daily soil moisture and brightness temperature maps, Earth Syst. Sci. Data, 9, 293–315, https://doi.org/10.5194/essd-9-293-2017, 2017. a
Bartsch, A.: Spring snowmelt and midwinter thaw and refreeze north of 60 N based on Seawinds QuikScat 2000–2009, supplement to: Bartsch, Annett (2010): Ten Years of SeaWinds on QuikSCAT for Snow Applications, Remote Sens., 2, 1142–1156, PANGAEA [data set], https://doi.org/10.1594/PANGAEA.834198, 2010a. a
Bartsch, A.: Ten Years of SeaWinds on QuikSCAT for Snow Applications, Remote Sens., 2, 1142–1156, https://doi.org/10.3390/rs2041142, 2010b. a, b, c, d, e, f
Bartsch, A.: Monitoring of Terrestrial Hydrology at High Latitudes with Scatterometer Data, in: Geoscience and Remote Sensing, New Achievements, edited by: Imperatore, P. and Riccio, D., Intechweb, Vokuvar, 247–262, ISBN 9789537619978, 2010c. a
Bartsch, A., Kidd, R. A., Wagner, W., and Bartalis, Z.: Temporal and Spatial Variability of the Beginning and End of Daily Spring Freeze/Thaw Cycles Derived from Scatterometer Data, Remote Sens. Environ., 106, 360–374, https://doi.org/10.1016/j.rse.2006.09.004, 2007. a, b
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Short summary
Rain-on-snow (ROS) events occur across many regions of the terrestrial Arctic in mid-winter. In extreme cases ice layers form which affect wildlife, vegetation and soils beyond the duration of the event. The fusion of multiple types of microwave satellite observations is suggested for the creation of a climate data record. Retrieval is most robust in the tundra biome, where records can be used to identify extremes and the results can be applied to impact studies at regional scale.