Title: Analysis of Different Snow Products Available at JRC-MARS Unit
Publisher: Publications Office of the European Union
Publication Year: 2014
JRC N°: JRC91944
ISBN: 978-92-79-44018-2
ISSN: 1831-9424
Other Identifiers: EUR 26925
OP LB-NA-26925-EN-N
URI: http://publications.jrc.ec.europa.eu/repository/handle/JRC91944
DOI: 10.2788/284954
Type: EUR - Scientific and Technical Research Reports
Abstract: Snow cover information is actually used in the modelling of frost kill damage of winter cereals at JRC-MARS. The intended improvements can exploit snow data information leading to more precise simulations in the crop models and soil moisture simulations resulting more precise crop yield forecasts. As a first step, the main characteristics and constrains of ground-based snow depth measurements and remote sensing based snow observation were discussed. Comparison of SnowMaus and ECMWF snow products was performed for 20 meteorological stations of Russia, Ukraine, Poland and Sweden. The results indicated good agreement in case of both model for start and termination of snow cover. SnowMaus model can be useful in the data quality control, but local calibration is needed for reliable snow depth values especially in case of deep snow cover. The ECMWF model provided the best estimates/results of snow depth by the help of snow water equivalent and simulated snow density parameters. Evaluation of shallow snow cover data (<20 cm) confirmed that the ECMWF based snow data are most suitable for winter frost kill analysis.
JRC Directorate:Sustainable Resources

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