2nd training on Snow Microwave Radiative Transfer (SMRT) model, Canada, July 2019

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2nd training on Snow Microwave Radiative Transfer (SMRT) model, Canada, July 2019

Ghislain Picard-3

Dear Colleagues,

We are pleased to announce the second Snow Microwave Radiative Transfer (SMRT) model training workshop, which will take place 4th-6th July 2019 at the University of Waterloo, in Canada. This is just before IUGG2019 Montreal to facilitate attendance at both events.

SMRT is a new active/passive microwave model for seasonal snow and sea-ice developed  in the framework of an ESA project aiming at exploring the role of snow microstructure and unifying the ingredients of existing model/theories (MEMLS, DMRT-QMS, HUT, ...). More information is available on the website http://www.smrt-model.science/ and in a paper https://doi.org/10.5194/gmd-11-2763-2018

The aim of this 2.5 day workshop is to provide a general introduction to snow microwave modelling and a specific introduction to SMRT. Participants will have an opportunity to learn how to use the SMRT model and compare different modelling approaches (e.g. IBA, DMRT, ...). In particular, lectures, practicals and discussions will cover:

- Snow microstructure and its impact on microwave scattering
- Different electromagnetic theories to compute scattering from random media
- Methods to solve the radiative transfer equation
- Modular approach to SMRT to allow easy model intercomparisons (DMRT, MEMLS, HUT, ...)
- How you can extend SMRT and contribute to build the next generation microwave community model
- Applications of SMRT
Support will be offered to help participants use SMRT for their own research.

We would like to welcome those of all career and expertise levels. Attendance at the workshop is free but registration will be mandatory and the number of workshop places will be limited to 30 participants. Participants will need to fund their own travel to Waterloo, food and accommodation.

More information will be posted later (early April) for the registration and the venue: https://smrt2019.sciencesconf.org/

With best wishes,

Ghislain Picard (U. Grenoble Alpes), Richard Kelly (U. Waterloo) , Claude Duguay (U. Waterloo, Mel Sandells (CoresSciences), Henning Löwe (WSL/SLF)

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