PhD and Post-Doc Summer Research School: Observing and Modelling the Artic Environment – Climate processes, prediction and projection

The aim of this research school is to provide students with an overview of state-of the-art research in the Arctic from observations through process understanding and model development to application. The research school will have five sessions addressing:

1. Observational capabilities: including in-situ measurements and satellite remote sensing, field campaigns and operational resources;
2. Dynamics of the Arctic environment: what we know about the most important processes and how we include them in climate models;
3. Surface coupling: a review of the multitude of surface coupling processes in the Arctic and current approaches to integrating this understanding in models at different scales;
4. Climateprojectionandprediction:anthropogenically-forcedandnaturalclimatechangeintheArctic, perspective from the 21st century and opportunities with climate prediction;
5. Modelling for Arctic applications: using climate model results in other domains with examples from simulating marine primary production, future shipping routes, and other industrial activities in ice covered waters.