MeetingOfInterest:Meeting-356
17 - 19 September 2019
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Deadlines
Abstract submission: The abstract submission deadline has passed Registration: Registration is now closed
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The energy exchange at the land surface affects the climate, and when the climate changes so will the land surface. These changes alter various feedback mechanisms, influencing atmospheric circulation and hydrological cycle. One example is the albedo feedback; a warmer climate means less snow on the ground and a dark surface absorbs more energy than a light surface, thus reinforcing the warming signal through a positive feedback process. This is one of the main reasons why climate change affects high latitude regions stronger than most other regions of the world. Another example is soil moisture impacts on land surface-atmosphere interactions through redistribution of the available energy as latent and sensible heat fluxes. These examples show that we need to develop models that fully integrate two-way couplings between the atmosphere and land surface, and thus improve on today’s models that still rely on one-way couplings and thereby neglects important interactions and feedbacks.
Extreme weather events will occur more often in the future than today, and therefore we expect an increase in frequency of floods, droughts, and landslides. This will likely lead to larger damages on infrastructure and nature. The demand and production potential of renewable energy is also strongly linked to the hydrometeorological system. The Norwegian Hydrological Council recognizes the need to bring together hydrologists and meteorologists to discuss the integration of meteorology and hydrology in all modelling activities that includes weather, climate and water (e.g. weather forecasts, climate prediction, hydrological impact predictions, climate and hydrological model coupling, environmental hazards).
The conference aims to address topics related to modelling the climate system and the interface with the land surface processes and hydrological impacts of climate change. It will also focus on recent developments of observation systems and data analysis, including experiences with big data and machine learning. A special focus is given to cold climates, including the boreal, alpine and arctic zone. The conference is organized in three sessions:
(1) “Water Cycle extremes”, (2) “From modelling to decisions”, and (3) ”Learning from environmental data: from field observations to machine learning”.
