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Peer-reviewed

Review of Snow Data Assimilation Methods for Hydrological, Land Surface, Meteorological and Climate Models: Results from a COST HarmoSnow Survey

Jürgen Helmert, Aynur Şensoy Şorman, Rodolfo Alvarado Montero, Carlo De Michele, Patricia de Rosnay, Marie Dumont, David C. Finger, Martin Lange, Ghislain Picard, Vera Potopová, Samantha Pullen, Dagrun Vikhamar-Schuler, Ali Nadir Arslan

Geosciences · 2018

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Summary

The European Cooperation in Science and Technology (COST) Action ES1404 “HarmoSnow”, entitled, “A European network for a harmonized monitoring of snow for the benefit of climate change scenarios, hydrology and numerical weather prediction” (2014-2018) aims to coordinate efforts in Europe to harmonize approaches to validation, and methodologies of snow measurement practices, instrumentation, algorithms and data assimilation (DA) techniques. One of the key objectives of the action was “Advance the application of snow DA in numerical weather prediction (NWP) and hydrological models and show its benefit for weather and hydrological forecasting as well as other applications.” This paper reviews approaches used for assimilation of snow measurements such as remotely sensed and in situ observation

Source type
Peer-reviewed study
DOI
10.3390/geosciences8120489
Catalogue ID
SNmokbvy84-9vpju9
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