Articles | Volume 10, issue 2
https://doi.org/10.5194/gi-10-297-2021
https://doi.org/10.5194/gi-10-297-2021
Research article
 | 
24 Nov 2021
Research article |  | 24 Nov 2021

Evaluating methods for reconstructing large gaps in historic snow depth time series

Johannes Aschauer and Christoph Marty

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Cited articles

Anderson, E. A.: National Weather Service River Rorecast Rystem – Snow Accumulation and Ablation Model, NOAA Technical Memorandum NWS-HYDRO-17, US Depart. of Commerce, Silver Spring, MD, 1973. a, b
Aschauer, J.: source code: Evaluating methods for reconstructing large gaps in historic snow depth time series, Zenodo [code], https://doi.org/10.5281/zenodo.5547996, 2021. a
Auer, I., Böhm, R., Jurkovic, A., Lipa, W., Orlik, A., Potzmann, R., Schöner, W., Ungersböck, M., Matulla, C., Briffa, K., Jones, P., Efthymiadis, D., Brunetti, M., Nanni, T., Maugeri, M., Mercalli, L., Mestre, O., Moisselin, J.-M., Begert, M., Müller-Westermeier, G., Kveton, V., Bochnicek, O., Stastny, P., Lapin, M., Szalai, S., Szentimrey, T., Cegnar, T., Dolinar, M., Gajic-Capka, M., Zaninovic, K., Majstorovic, Z., and Nieplova, E.: HISTALP—historical instrumental climatological surface time series of the Greater Alpine Region, Int. J. Climatol., 27, 17–46, https://doi.org/10.1002/joc.1377, 2007. a
Avanzi, F., Zheng, Z., Coogan, A., Rice, R., Akella, R., and Conklin, M. H.: Gap-filling snow-depth time-series with Kalman filtering-smoothing and expectation maximization: Proof of concept using spatially dense wireless-sensor-network data, Cold Reg. Sci. Technol., 175, 103 066, https://doi.org/10.1016/j.coldregions.2020.103066, 2020. a, b
Bales, R., Stacy, E., Safeeq, M., Meng, X., Meadows, M., Oroza, C., Conklin, M., Glaser, S., and Wagenbrenner, J.: Spatially distributed water-balance and meteorological data from the rain-snow transition, southern Sierra Nevada, California, Earth Syst. Sci. Data, 10, 1795–1805, https://doi.org/10.5194/essd-10-1795-2018, 2018. a
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Short summary
Methods for reconstruction of winter long data gaps in snow depth time series are compared. The methods use snow depth data from neighboring stations or calculate snow depth from temperature and precipitation data. All methods except one are able to reproduce the average snow depth and maximum snow depth in a winter reasonably well. For reconstructing the number of snow days with snow depth ≥ 1 cm, results suggest using a snow model instead of relying on data from neighboring stations.