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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,...

 This workshop is the follow-up event of the workshop on stochastic weather generators organized in Roscoff, June 2012.

Registration

In the top bar, click on "Registration" to register.  There is a  100 € (+ VAT)  registration fee to cover coffee breaks, lunch, conference dinner and social activities. Since the number of presentations and participants is limited, we advise early registration. For submitting an abstract, click on "Abstract Submission".

Important dates

Registration: June 1st, 2014

Abstract submission: June 16th, 2014 (abstract of 1 page or extended-abstract of 2-4 pages)

Workshop: September 17 - 19, 2014

 

Sponsors

This workshop is part of the project VIGIE-Med, funded by the INRA program "Adaptation of Agriculture and Forest to Climate Change" and by the following sponsors.


            

            

   

 


 

 

Scientific and Organizing Committee

Denis Allard                    Biostatistics and Spatial Processes (BioSP), INRA Avignon, France

Edith Garbiel                 Laboratoire de mathématique d'Avignon, Université d'Avignon, France

Pierre Ailliot                    Laboratoire de Mathématiques de Bretagne Atlantique, Université de Bretagne Occidentale, France

Valérie Monbet                IRMAR, Université de Rennes, France

Philippe Naveau              Laboratoires des Sciences du Climat et de l'Environnement, IPSL, CNRS, France

Peter Thomson               Statistics Research Associates, NZ