These are the collaborative research projects that I have worked on.


Greenland Ice-Ocean Interaction Phase 2

Phase 2 of the BMBF funded multi-institute collaborative project. The overarching aims of GROCE#2 are to build on findings in phase 1, to focus on representation of atmospheric processes and mass balance in CMIP6 Global Circulation Models (GCMs). Additional work will focus on the relationship between the atmosphere (past, present and future) on the development and drainage of melt ponds on the 79N glacier. The project began in Summer 2020.

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Greenland Ice-Ocean Interaction Phase 1

Phase 1 of the BMBF funded project ran from Summer 2017 to Summer 2020. The overarching aim of the project was to understand the oceanic and atmospheric processes influencing the 79N glacier and North East Greenland Ice Stream (NEGIS) in the present climate. My specific aims were investigating and modelling the important atmospheric processes in the region and estimating the surface mass balance of the glacier. GROCE is a multi-institute, collaborative project including researchers at Friedrich-Alexander University (FAU), Technical University of Dresden, the Alfred Wegener Institute (AWI), University of Bremen, University of Bonn and the Leibniz institute for Baltic Sea Research (IOW).

My output includes hourly, high-resolution (1 km) output from the Polar Weather Research and Forecasting (WRF) model from 2014 to 2018. Warm-air advection and katabatic winds can produce temperature jumps of 10+°C in 24 hours, occasionally raising the temperature to above freezing during winter. To investigate the impact of the warm-air events on the glacier surface and understand the surface mass balance (SMB) of the region, the COSIPY SMB model was offline coupled with the WRF output to produce estimates from 2014 to 2018. Three publications have resulted from this project.

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Orographic Flows and Climate of the Antarctic Peninsula

The fieldwork portion of this project began in 2011 with flights over the Larsen C Ice Shelf (LCIS), regular radiosonde launches and new AWSs installed. When I started this project in 2013, I used AWS observations from 6 locations over the LCIS to identify föhn winds by developing a semi-automatic detection system. I also detected föhn winds in AMPS archived model output, and ran the Polar WRF model for specific case studies of föhn winds. This led to a four-year record of föhn winds over the LCIS from observations and model data, and an investigation into the effect of them on the surface energy balance and melt production. Three publications resulted from my work (see Publications).

For more information visit the project overview page.