EDELWEISS: An Ensemble Distributed modEL of snoW Evolution wIth aSSimilation
| Autor: | Lafaysse, M., Dumont, M., Vionnet, V., Cenmod, T., Boone, A., Cluzet, B., Deschamps-Berger, C., Gascoin, S. |
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| Rok vydání: | 2023 |
| Zdroj: | XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) |
| DOI: | 10.57757/iugg23-0845 |
| Popis: | In mountains, snowpack properties have a complex spatial variability at scales from a few meters to hundreds of kilometers. To anticipate the associated natural hazards and optimize water resources management, numerical models are promising tools but they still suffer from large uncertainties and need to be constrained by the assimilation of conventional or remotely-sensed observations of both meteorological and snow conditions. Increased horizontal resolutions are expected to better solve this spatial variability and to better benefit from the assimilation of high resolution satellite imagery. However, higher resolutions require to solve more physical processes and to downscale km-scale meteorological inputs. Then, the accuracy of remotely-sensed observations varies in space and time above complex terrain. This involves challenges to preserve realistic spatial patterns in high-resolution simulations. Finally, most data assimilation algorithms well suited to snow modelling rely on ensemble simulations. Therefore, a balance must be found between horizontal resolution, ensemble size and complexity of the simulated processes (e.g. blowing snow, snow-vegetation interactions, internal snow processes) to fit with the current and future computational capacities. In this contribution, we present our choices to design the new EDELWEISS snow modelling system, expected to cover all French mountains (about 200000 km²) at 250 m horizontal resolution in support of avalanche forecasting and mountain hydrology. This design guides various research works that contributes to the overall objective of EDELWEISS. We also summarize the added value and the challenges associated with the available remotely-sensed observations to define priorities for their future assimilation in the system. The 28th IUGG General Assembly (IUGG2023) (Berlin 2023) |
| Databáze: | OpenAIRE |
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