PhD position: Assimilation of remote sens.data in CLM

PhD position: Assimilation of remote sens.data in CLM
Job Offer Details
Job Description

The overall objective of the project is to improve the near-real-time modeling and prediction of plant-mediated gas exchanges by the Community Land Model (CLM) for different plant functional types. The project focuses on the development of the model?s photosynthesis module. The candidate will develop algorithms and strategies for the assimilation of remotely sensed hyperspectral and thermal data sets, and will perform model source-code modifications. The model?s sensitivity to different parameterization strategies will be studied. The simulated photosynthetic rates will be validated based on fluorescence data provided by collaborating project sections.
The research will be carried out within Transregional Collaborative Research Centre (TR32) at the University of Köln, Institute of Geophysics and Meteorology. Please see our website (http://www.tr32.de) for further information on TR32 and details on the position on offer.

Full Doctorate
yes

Research Stay
no

Paid position?
yes

Start
01.01.2012

Length
36 Monate

Working Language
English, German

Language of the Doctoral Thesis
English

Subject Requirements (Qualification)
Candidates with a M.Sc./Diplom in biology, plant ecophysiology, ecology, micrometeorology, environmental sciences or a related discipline are encouraged to apply. We expect a strong interest in process- and system- oriented research.
Experience in computer programming (preferably FORTRAN, C) is required. Further prerequisites are a documented proficiency in English and basic knowledge of German or the willingness to acquire this.
Skills and strong interest in numerical modeling, model development and working with large data sets are beneficial.

Type of Persons
PhD student

Compulsory Attachments

• Curriculum vitae

University / Organisation
Universit?t zu K?ln
50923 K?ln

Faculty / Institute
Institute of Geophysics and Meteorology
K?ln
http://www.tr32.de

Supervisor of the Doctoral Thesis
Frau Dr. Hella Ahrends