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Polar Prediction School 2018

last modified Sep 10, 2017 03:30 PM
An event on on weather and climate prediction in the polar regions for early career scientists.
Apr 17, 2018 09:00 AM to Apr 27, 2018 05:00 PM (Europe/Vienna / UTC200)
Abisko (Sweden)
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The EU Horizon 2020-funded APPLICATE project, in cooperation with the World Meteorological Organisation’s Polar Prediction Project (PPP) in occasion of the Year of Polar Prediction (YOPP), the Association of Polar Early Career Scientists (APECS) and other partners will be organizing the Polar Prediction School 2018 on weather and climate prediction in the polar regions  at Abisko Scientific Research Station.

The course will cover topics including chaotic systems and predictability, polar boundary layer processes, polar clouds, sea ice and high latitude ocean processes, polar extreme weather and polar-mid-latitude linkages. It will include a combination of polar weather and climate theory lectures with exercises on modelling and field meteorology techniques as well as soft skill training. Each of these components forms a crucial pillar of the prediction problem, and the motivation for combining these is to provide participants with a complete overview of the components required to understand and predict polar weather.

The Polar Prediction School 2018 will be open for 30 early career researchers (focus on advanced graduate students, PhD students and postdoctoral researchers) from around the world. An international set up instructors will be teaching the sessions. The course will be run at Abisko Scientific Research Station in Sweden where the instructional facilities are conveniently located in an environment well suited to Arctic observations. Here participants can begin to develop a sense for the environment they are studying.

For more information on the program, please check the draft agenda below. All information on this page will be updated as the planning progresses, so keep checking back frequently. The Polar Prediction School 2018 is modelled after the Polar Prediction School 2016, a summary of which you can read here.