PRESENTATIONS at Climate scaling workshop, Lund April 2011

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Author Affiliation Title Presentation download
Ulla Holst Lund University The treatment of uncertainty in climate analysis and prediction Link
Markku Rummukainen Lund University and SMHI Regional climate downscaling - a review Link
Peter Guttorp University of Washington and Norwegian Computing Center Stochastic downscaling Link
Erik Kjellström SMHI Dynamic downscaling: assessing fundamental uncertaities in regional climate change Link
Grigory Nikulin SMHI Dynamic downscaling: providing regional information on extremes and variability Link
Veronica Berrocal University of Michigan Space-time downscaling under measurement error in computer model output Link
Cintia Bertacci Uvo Lund University From climate to hydrology - uses of downscaling Link
Shinya Sugita Tallinn University A paleological perspective Link
Sara Sjöstedt de Luna Umeå University Using seasonal patterns of varved lake sediments to reconstruct past climate Link
David Ryner University of Gothenburg Constructing climate change scenarios with sub-daily time-steps Link
Ben Smith Lund University Discussion introduction Link
Guy Schurgers Lund University Upscaling of biogeochemical processesusing probability density functions to quantify heterogeneity Link
Johan Lindström Lund University Gaussian Markov random fields - efficient modelling of spatially dependent data Link
David Bolin Lund University Fast estimation of spatially dependent temporal vegetation trends using Gaussian Morkov random fields Link
Finn Lindgren Norwegian University of Science and Technology Stochastic global temperature reconstruction using Markov random fields Link
Krys Podgorski Lund University Spatio-temporal stochastic models with embedded deterministic dynamics Link and Movie
Clive Anderson University of Sheffield Uncertainty and sensitivity of a dynamic global vegetation model Link
Elisabeth Orskaug Norwegian Computing Center Evaluation of a dynamically downscaling of Norwegian precipitation Link
Ola Haug Norwegian Computing Center Calibrating dynamically downscaled precipitation using the Doksum shift function Link
Rasmus Benestad Meteorologisk Institutt, Olso A new global set of downscaled temperature scenarios Link
Richard M. Gunton University of Leeds Down-scaling climate data for microclimate models and forecasts Link