Articles | Volume 12, issue 1
https://doi.org/10.5194/tc-12-247-2018
© Author(s) 2018. 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-12-247-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
23 Jan 2018
Research article |
| 23 Jan 2018
| 23 Jan 2018
Ensemble-based assimilation of fractional snow-covered area satellite retrievals to estimate the snow distribution at Arctic sites
Kristoffer Aalstad
CORRESPONDING AUTHOR
Department of Geosciences, University of Oslo, P.O. Box 1047, Blindern, 0316 Oslo, Norway
Sebastian Westermann
Department of Geosciences, University of Oslo, P.O. Box 1047, Blindern, 0316 Oslo, Norway
Thomas Vikhamar Schuler
Department of Geosciences, University of Oslo, P.O. Box 1047, Blindern, 0316 Oslo, Norway
Julia Boike
Alfred Wegener Institute Helmholtz Center for Polar and Marine Research, Telegrafenberg A43, 14473 Potsdam, Germany
Laurent Bertino
Nansen Environmental and
Remote Sensing Center, Thormøhlens gate 47, Bergen 5006, Norway
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- Integrated hydrogeophysical modelling and data assimilation for geoelectrical leak detection C. Tso et al. 10.1016/j.jconhyd.2020.103679
- Toward Snow Cover Estimation in Mountainous Areas Using Modern Data Assimilation Methods: A Review C. Largeron et al. 10.3389/feart.2020.00325
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- Assimilation of Sentinel-2 Data into a Snowpack Model in the High Atlas of Morocco M. Baba et al. 10.3390/rs10121982
- Reconciling Svalbard Glacier Mass Balance T. Schuler et al. 10.3389/feart.2020.00156
- Improving Snow Estimates Through Assimilation of MODIS Fractional Snow Cover Data Using Machine Learning Algorithms and the Common Land Model J. Hou et al. 10.1029/2020WR029010
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Latest update: 07 Jul 2025
Short summary
We demonstrate how snow cover data from satellites can be used to constrain estimates of snow distributions at sites in the Arctic. In this effort, we make use of data assimilation to combine the information contained in the snow cover data with a simple snow model. By comparing our snow distribution estimates to independent observations, we find that this method performs favorably. Being modular, this method could be applied to other areas as a component of a larger reanalysis system.
We demonstrate how snow cover data from satellites can be used to constrain estimates of snow...
