EESS special event talk on "Operational snowmelt modelling in Switzerland - Integrating observational data with advanced modelling approaches"
Event details
| Date | 01.06.2016 |
| Hour | 14:15 › 15:00 |
| Speaker | Dr Tobias JONAS, Head Snow Hydrology Research Group, WSL Institute for Snow and Avalanche Research SLF, Davos CH |
| Location | |
| Category | Conferences - Seminars |
Abstract:
The distribution of seasonal snowcover is known to be highly variable in space and time. While data from longterm snow monitoring sites provide valuable information about the temporal dynamics of snowcover formation and depletion, these data do not adequately describe the spatial variability of available snow water resources. Snowcover models on the other hand can replicate the spatial distribution of snow but often deviate from observations due to shortcomings related to input data and process representations within the models.
To provide accurate information about available snow water resources in Switzerland at high spatial and temporal resolution, we have developed a monitoring framework that combines different types of snowcover models with data assimilation techniques to incorporate available observational data. This system is primarily in use for operational snowmelt forecasting purposes but is also an excellent tool for deriving datasets of distributed snow water resources for related research.
Short biography:
Diploma in Physics from the Fluid Dynamics Institute at Georg-August University Göttingen, Germany;
Ph.D. from the Department of Environmental Sciences, Swiss Federal Institute of Technology Zurich ETHZ;
At SLF/WSL since 2002, head of the snow hydrology research group since 2006
The distribution of seasonal snowcover is known to be highly variable in space and time. While data from longterm snow monitoring sites provide valuable information about the temporal dynamics of snowcover formation and depletion, these data do not adequately describe the spatial variability of available snow water resources. Snowcover models on the other hand can replicate the spatial distribution of snow but often deviate from observations due to shortcomings related to input data and process representations within the models.
To provide accurate information about available snow water resources in Switzerland at high spatial and temporal resolution, we have developed a monitoring framework that combines different types of snowcover models with data assimilation techniques to incorporate available observational data. This system is primarily in use for operational snowmelt forecasting purposes but is also an excellent tool for deriving datasets of distributed snow water resources for related research.
Short biography:
Diploma in Physics from the Fluid Dynamics Institute at Georg-August University Göttingen, Germany;
Ph.D. from the Department of Environmental Sciences, Swiss Federal Institute of Technology Zurich ETHZ;
At SLF/WSL since 2002, head of the snow hydrology research group since 2006
Practical information
- Informed public
- Free
- This event is internal
Organizer
- EESS - IIE & IIC
Contact
- Prof. Anton Schleiss & Alain Foehn, LCH-IIC-ENAC