Bridging the gap between climate models and impact studies: the FORESEE Database
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F15%3AN0000025" target="_blank" >RIV/60460709:41320/15:N0000025 - isvavai.cz</a>
Result on the web
<a href="http://onlinelibrary.wiley.com.infozdroje.czu.cz/doi/10.1002/gdj3.22/abstract;jsessionid=4FD11498495E34558976EBEB7D94F49A.f03t03" target="_blank" >http://onlinelibrary.wiley.com.infozdroje.czu.cz/doi/10.1002/gdj3.22/abstract;jsessionid=4FD11498495E34558976EBEB7D94F49A.f03t03</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Bridging the gap between climate models and impact studies: the FORESEE Database
Original language description
Studies on climate change impacts are essential for identifying vulnerabilities and developing adaptation options. However, such studies depend crucially on the availability of reliable climate data. In this study, we introduce the climatological database called FORESEE (Open Database for Climate Change Related Impact Studies in Central Europe), which was developed to support the research of and adaptation to climate change in Central and Eastern Europe: the region where knowledge of possible climate change effects is inadequate. A questionnaire-based survey was used to specify database structure and content. FORESEE contains the seamless combination of gridded daily observation-based data (1951-2013) built on the E-OBS and CRU TS datasets, and a collection of climate projections (2014-2100). The future climate is represented by bias-corrected meteorological data from 10 regional climate models (RCMs), driven by the A1B emission scenario. These latter data were developed within the frame of the ENSEMBLES FP6 project. Although FORESEE only covers a limited area of Central and Eastern Europe, the methodology of database development, the applied bias correction techniques, and the data dissemination method, can serve as a blueprint for similar initiatives.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
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OECD FORD branch
40102 - Forestry
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů