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Copulas for integrating weather and land information in space and time
Group: University of Twente, Department of Earth Observation Science
Promotor: Prof.dr.ir. Alfred Stein
Co-promotor: Prof.Bob Su
Environmental processes consist of interactions between weather, land, and water variables that change continuously in space and time. One reason why describing a process is problematic is that natural phenomena are often only observed at a discrete set of locations and times. Another reason is that a complete process description requires to consider the variables at several locations and times, and associations between several variables at one location and time. This research constitutes a relatively new area for describing the interdependencies in weather variables tackling two problems common in local hydrological studies: the source of weather data in data-scarce environments, and the complexity of the interdependencies. The novel aspects lie in integrating of information and improving the predictions using copula-based methods. The main conclusions drawn from our research are that copula-based methods can represent well the spatial variability and co-variability of air temperature and precipitation, and can improve existing methods at local scales.
By September we will present an overview of SENSE dissertations on this page, with links to the full texts of the dissertations.