|CLAVIER - Climate Change and Variability. Impact on Central and Eastern Europe
|Daniela Jacob (MPI-M; overall project coordination)
Andreas Gobiet (Uni Graz)
|Max Planck Insitute for Meteorology Hamburg, Germany (Coordinator)
Hungarian Meteorological Service, Budapest, Hungary
Institut Pierre Simon Laplace, Paris, France
Joanneum Research Graz, Austria
Budapest University of Technology and Economics, Faculty of Civil Engineering, Department of Hydraulic and Water Resources Engineering, Budapest, Hungary
Env-in-Cent Consulting Ltd., Budapest, Hungary
National Institute of Meteorology and Hydrology, Sofia, Bulgaria
University of National and World Economy, Sofia, Bulgaria
National Institute of Hydrology and Water Management, Bucharest, Romania
University of Cluj, Romania
The Institute of Geography of the Romanian Academy, Romania
EU (FP6 STREP)
|Sep. 2006 - Aug. 2009
The nations in central and eastern Europe (CEE) face triple challenges of the ongoing economic and political transition, continuing vulnerability to environmental hazards, and longer term impacts of global climate change. The overall aim of the EU FP6 project CLAVIER (CLimate ChAnge and Variability: Impact on Central and Eastern EuRope) is to make a contribution to successfully cope with these challenges. Three representative CEE Countries are studied in detail: Hungary, Romania, and Bulgaria.
In the framework of CLAVIER, ongoing and future climate changes are analysed based existing data and on climate projections with very high detail to fulfill the need of local and regional impact assessment. Researchers from 6 countries and different disciplines investigate linkages between climate change and its impact on weather patterns, air pollution, extreme events, and on water resources. Furthermore, an evaluation of the economic impact on agriculture, tourism, energy supply and the public sector is conducted.
WegCenter leads work package 2 (WP2) of CLAVIER (Optimized input data for climate impact studies from regional climate models) which is designed to improve interfaces between the project participants, particularly those from the climate modelling and the climate impact assessment communities. WP2 applies dynamical models at very high resolution to provide input for hydrological and agricultural impact studies, creates multi-scale datasets to optimize the representation of hydrological extreme events in regional climate models, and develops and applies statistical methods for linking coarser-scale climate scenarios to extreme events and various ecosystem-, health-, infrastructure-, and economic impact parameters.