|From||Annette Rinke <Annette.Rinke@awi.de>|
|Date||Fri, 26 Jun 2020 14:16:29 +0200|
The section Physics of the Atmosphere at the Alfred Wegener
Institute in Potsdam, Germany, invites applications for a
PhD position (m/f/d) funded within the Transregional Collaborative
Research Center TR172 on “ArctiC Amplification: Climate Relevant
Atmospheric and SurfaCe Processes, and Feedback Mechanisms (AC)³”
by the German Research Foundation (DFG, Deutsche
Forschungsgemeinschaft). Within the TR172, AWI together with the
collaboration partners (Universities of Leipzig, Cologne and
Bremen, TROPOS) aim to better observe, understand, and simulate
processes leading to the current drastic climate changes in the
Arctic. Specifically, the title of the PhD project at AWI
Interactions between atmosphere and sea ice-ocean in the ArcticThe PhD project intends to achieve a better understanding of atmosphere-sea ice-ocean interactions in the Arctic. In particular, we aim to quantify the seasonal and regional thermodynamic and dynamic responses of the ice-ocean system to storms. This includes the analysis of impacts on sea ice (concentration, thickness, drift), upper ocean (temperature, heat budget, mixing/stratification) and the surface energy budget. Further, the feedback of sea-ice retreat, heat and moisture release, and oceanic heat fluxes on cyclone characteristics and a potential (pre)conditioning for (extreme) cyclones will be studied. An observation-modelling synergy approach will be applied. For this, a set of ensemble simulations with the coupled regional model HIRHAM-NAOSIM will be analyzed in concert with reanalysis, campaign and satellite data. Overall, the objectives of the dissertation include: (i) performance and analysis of model experiments with HIRHAM-NAOSIM, (ii) quantification of cyclone's impacts on changes in the sea ice and upper ocean, (iii) improved understanding of the mechanisms for the feedbacks between cyclones and sea ice-ocean in the Arctic.
Diploma/M.Sc. degree in physics, meteorology, geosciences, or related fields. Good skills in statistical data analysis and scientific programming (R, Python, Fortran, Matlab, or similar). Interest in Interest in atmospheric physics and atmosphere-sea ice interactions is expected. Experience in climate modelling and working with Unix-like operating systems is an advantage. Good English language skills are expected.
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