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Content archived on 2024-05-29

Geostatistical Analysis of Precipitation data

Objective

The spatial interpolation of precipitation is increasingly important in the development of agricultural, hydrological and ecological models. Such models are becoming an integral part of our ability to understand global climate change and both natural and anthropogenic impacts on the environment. For example, spatially explicit modelling of global climate change requires estimates of climate variables at unstapled locations, usually on a regularly spaced grid. In GAP, the fellow will develop a methodology to combine methods of multivariate geostatistics with rationalised climatologies in order to map the long-term (1960-2002) spatial variability in rainfall. Rainfall in two regions in Europe will be analysed for its long-term variation in the spatial distribution of rainfall and to consider the effect of sample network on these long-term patterns. Firstly, rainfall sample networks and patterns in the United Kingdom will be analysed because of the relatively dense, long-term and relatively static network of rainfall stations. A similar investigation will be conducted using rainfall data from the Iberian Peninsula. These regions have different climatologically characteristics that will also be compared as part of the investigation. This investigation is expected to improve the robustness in the representation of rainfall due to inclusion of more data sources and the possibility of identifying trends and shifts in spatial variation using the variables derived from the analysis.

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Call for proposal

FP6-2002-MOBILITY-5
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Coordinator

UNIVERSITY OF EAST ANGLIA
EU contribution
No data
Address
University Plain
NORWICH
United Kingdom

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Total cost
No data