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PhD Studentship, University of Bristol

By Thripthi • Dec 17th, 2009 • Category: Earth Science, Environmental Science, Geography
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Decadal Predictability of Earth System Models
University of – School of Geographical Sciences

Supervisors:

Prof Paul Valdes (Geographical Sciences, University of )

One of the biggest current challenges for climate science is to develop the ability to predict on decadal time scale, and on regional scales. Such predictions are essential for planning adaptation strategies for . Currently much of the focus for this work is using coupled atmosphere ocean models. However the role of other components of the Earth System in improving the skill of decadal forecasting is relatively under studied. In particular the representation of the land surface can have important impacts on climate predictions on all time scales from seasonal to century.

The project will use versions of the Hadley Centre model and the GENIE model to investigate the potential for decadal predictability and the impact of the land surface on such predictions.

For references about decadal predictability, see the special issue of the Phil. Trans. Of the Royal Society Theme Issue ‘Ensembles and probabilities: a new era in the prediction of ’ compiled by Matthew Collins and Sylvia Knight August 15, 2007; 365 (1857)

Web link: rsta.royalsocietypublishing.org/content/365/1857.toc

See www.ggy.bris.ac.uk/PGadmissions/physical/funded for further information.

Application Deadline: 29th January 2010

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This website is managed by Mrs. Thripthi Sabu. She is a post-graduate in Genetics and Plant Breeding from Kerala University. She lives in Thiruvananthapuram, Kerala. Find more about her at http://www.thesciencejobs.com/about
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