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Last modified: November 21
May 29th-June 1st, 2012, Roscoff, Brittany, France
How can we reliably predict climate-related risks? Stochastic weather generators give us this ability by simulating sequences of daily weather and climate consistent with specific aspects of climate variability and change. The simulated sequences of meteorological variables (rainfall, wind, temperature,...) are typically used as inputs into complex environmental and ecosystem models. They have a wide range of applications in hydrology, agriculture and environmental management.
This workshop aims at bringing together a wide range of researchers, practitioners, and graduate students whose work is related to the stochastic modelling of meteorological variables and stochastic weather generators. Topics of interest within this broad framework include:
- Non-linear time series
- Multivariate time series
- Non-stationary time series
- Multiscale models
- Space-time models
- Model validation
- Rainfall, wind, wave, temperature, solar radiation,...
- Renewable
energy, agriculture, air quality, hydrology,
insurance, offshore and coastal engineering,...
Scientific/organizing committee
- P. Ailliot (Université de Brest, France)
- V. Monbet (Université de Rennes 1, France)
- P. Naveau (Laboratoire des Sciences du Climat et l'Environnement, France)
- P. Thomson (Statistics Research Associates, New Zealand)