Estimating snow cover duration from ground temperature
- Author(s)
- Irene Teubner, Leopold Haimberger, Michael Hantel
- Abstract
Snow cover duration is commonly derived from snow depth, snow water equivalent, or satellite data. Snow cover duration has more recently also been inferred from ground temperature data. In this study, a probabilistic snow cover duration (SCD) model is introduced that estimates the conditional probability for snow cover given the daily mean and the diurnal range of ground temperature. For the application of the SCD model, 87 Austrian sites in the Alpine region are investigated in the period of 2000 to 2011. The daily range of ground temperature is identified to represent the primary variable in determining the snow cover duration. In the case of a large dataset, however, the inclusion of the daily mean ground temperature as the second given parameter improves results. Rank correlation coefficients of predicted versus observed snow cover duration are typically between 0.8 and 0.9.
- Organisation(s)
- Functional and Evolutionary Ecology, Department of Meteorology and Geophysics
- Journal
- Journal of Applied Meteorology and Climatology
- Volume
- 54
- Pages
- 959-965
- No. of pages
- 7
- ISSN
- 1558-8424
- DOI
- https://doi.org/10.1175/JAMC-D-15-0006.1
- Publication date
- 2015
- Peer reviewed
- Yes
- Austrian Fields of Science 2012
- 105204 Climatology, 105207 Mountain meteorology, 105206 Meteorology
- Keywords
- ASJC Scopus subject areas
- Atmospheric Science
- Portal url
- https://ucris.univie.ac.at/portal/en/publications/estimating-snow-cover-duration-from-ground-temperature(744a2a59-2306-4467-a1d9-6ffd6a90721c).html