Research fellowship in joint analysis of infrared and microwave radiances

at  Chalmers

Today, microwave and infrared cloud observations are largely used separately, even though it is commonly accepted that they provide complementary measurement information. This project aims at bridging the gap between the two wavelength regions to improve the use of the observations in the derivation of climate data and weather forecasting. The project is timely considering the upcoming launches of the first sub-millimetre operational sensors (AWS and ICI). The position is a fellowship funded by EUMETSAT, placed at the Division of Geoscience and Remote Sensing at Chalmers University of Technology (Gothenburg, Sweden). We are now inviting applications from suitably qualified scientists from EUMETSAT’s member states.

QUALIFICATIONS

The fellow should have a university degree in physics, mathematics, meteorology, remote sensing, or equivalent, and relevant research experience, including PhD or at the level thereof. Experience in microwave and/or infrared, all-sky, radiative transfer will be emphasised. Knowledge in one or more of the following areas would also be an advantage: retrievals, data assimilation, numerical weather forecasting and cloud physics. Strong computing skills will be a significant asset. This includes good and proven practical knowledge of programming languages (particularly C/C++ and Python), as well as experience with performing scientific simulations, and their evaluation. The ability to work as part of a team, a high level of commitment and interest in continuing development and training is required. Candidates must be able to work effectively in English, both verbally and written. Swedish is not a requirement but Chalmers offers Swedish courses.

• Assess the different assumptions and approaches presently used in the infraredand microwave radiative transfer, by comparing observed and simulatedobservations using the ARTS (Atmospheric Radiative Transfer Simulator)research tool.
• Based on the findings, develop particle model parametrisations for differentcloud regimes, suitable to reach the project’s objectives.
• Take part in incorporating new models into cloud retrievals made at Chalmersand SMHI, as well as supporting ECMWF to add the models into the operationalRTTOV-SCATT observation operator