Estimating snow cover duration from ground temperature

Autor(en)

Irene Teubner, Leopold Haimberger, Michael Hantel

Abstrakt

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(en)

Department für Funktionelle und Evolutionäre Ökologie, Institut für Meteorologie und Geophysik

Journal

Journal of Applied Meteorology and Climatology

Band

54

Seiten

959-965

Anzahl der Seiten

7

ISSN

1558-8424

DOI

https://doi.org/10.1175/JAMC-D-15-0006.1

Publikationsdatum

2015

Peer-reviewed

Ja

ÖFOS 2012

105204 Klimatologie, 105207 Gebirgsmeteorologie, 105206 Meteorologie

Schlagwörter

ASJC Scopus Sachgebiete

Atmospheric Science

Link zum Portal

https://ucris.univie.ac.at/portal/de/publications/estimating-snow-cover-duration-from-ground-temperature(744a2a59-2306-4467-a1d9-6ffd6a90721c).html