Snow provides water for more than 1 billion people, yet we are still unable to quantify how much snow is available globally with acceptable accuracy. Microwave radiation is scattered by the snow, and this property can be exploited to remotely sense the snow mass actively or passively. Huge progress has been made to quantify the uncertainties in existing retrieval techniques and towards development of the next generation of higher accuracy snow mass retrieval algorithms. This session aims to bring together the community to present results that address remaining challenges such as how to quantify the snow grain size, validation of microwave emission and scattering models, data assimilation techniques and optimal collection of supporting field observations
We think it's going to be a timely and interesting session, so please consider submitting an abstract!
With best wishes,
Mel Sandells (Univ. Reading)
Mike Durand (Ohio State University)
Chris Derksen (Environment Canada)
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