Articles | Volume 13, issue 8
https://doi.org/10.5194/tc-13-2221-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-13-2221-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Evaluation of snow depth and snow cover over the Tibetan Plateau in global reanalyses using in situ and satellite remote sensing observations
NILU – Norwegian Institute for Air Research, Kjeller, Norway
Martin Wegmann
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany
formerly at: Institut des Géosciences de l'Environnement, Université Grenoble Alpes, Grenoble, France
Emanuel Dutra
Instituto Dom Luiz (IDL), Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
Institute of Climate System, Chinese Academy of Meteorological Sciences, Beijing, China
Gianpaolo Balsamo
European Centre for Medium-Range Weather Forecasts (ECMWF), Reading, UK
Department of Earth System Science, Tsinghua University, Beijing, China
Institute of Tibetan Plateau Research of Chinese Academy of Sciences, Beijing, China
Patricia de Rosnay
European Centre for Medium-Range Weather Forecasts (ECMWF), Reading, UK
Congwen Zhu
Institute of Climate System, Chinese Academy of Meteorological Sciences, Beijing, China
Wenli Wang
Department of Earth System Science, Tsinghua University, Beijing, China
Institute of Tibetan Plateau Research of Chinese Academy of Sciences, Beijing, China
Retish Senan
European Centre for Medium-Range Weather Forecasts (ECMWF), Reading, UK
Gabriele Arduini
European Centre for Medium-Range Weather Forecasts (ECMWF), Reading, UK
Data sets
IMS Daily Northern Hemisphere Snow and Ice Analysis at 1 km, 4 km, and 24 km Resolutions, Version 1 National Ice Center https://doi.org/10.7265/N52R3PMC
Short summary
The Tibetan Plateau region exerts a considerable influence on regional climate, yet the snowpack over that region is poorly represented in both climate and forecast models due a large precipitation and snowfall bias. We evaluate the snowpack in state-of-the-art atmospheric reanalyses against in situ observations and satellite remote sensing products. Improved snow initialisation through better use of snow observations in reanalyses may improve medium-range to seasonal weather forecasts.
The Tibetan Plateau region exerts a considerable influence on regional climate, yet the snowpack...