IAHS Scientific Assembly 2017
10–14 July 2017
Port Elizabeth, South Africa
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Session 14

Advances in cold-region hydrological models: Integration of process understanding and application to climate and landcover changes
Convener: Tobias Jonas  | Co-Conveners: Timothy Link , Richard L.H. Essery , Marie Dumont , Eva Boegh , Magdalena Rogger 
Supporting commission(s) / organisations: ICSIH, ICCLAS, ICWRS

In mountainous and high-latitude regions of the world, hydrology and ecology are dominated by snowfall that becomes runoff and streamflow in the spring and early summer. In these regions, recent climate conditions have led to changes in precipitation, soil moisture, and streamflow that are having an impact on water supplies, ecosystems, and agriculture. Land cover changes driven by human activities, natural disturbances, and species changes are likewise altering snowpack, soil moisture, evaporative flux, and runoff dynamics. Advances in fundamental snow science are essential to understand both the impacts of landcover and both climate trends and variability on hydrological systems. Given the non-linear nature of these feedbacks, for hydrological models to project environmental changes accurately, detailed process representations are essential. This session will bring together experimental and modeling experts to address a broad range of topics that are important to improve current cold-region hydrological models for climate and landcover change studies.

We are encouraging presentations on all aspects of measuring and modeling snow processes, with emphasis on the following specific topics:

- Impacts of climatic variability and projected changes on water resources
- Impacts of landcover changes on snow patterns and processes
- Snowcover modeling in vegetated and complex terrain
- Interactions between snowcover, soil, and biotic processes
- Scaling strategies to link microscale properties to macroscale processes
- Representation of small-scale variations at coarser modeling grid scales
- The role of long-term hydrologic observatories in advancing snow process understanding