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Bridging the gap between climate models and impact studies: the FORESEE Database.

L Dobor1, Z Barcza1,2, T Hlásny3,4

  • 1Department of Meteorology Eötvös Loránd University Budapest Hungary.

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|June 16, 2017
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Summary
This summary is machine-generated.

The FORESEE database provides crucial climate data for Central and Eastern Europe, supporting climate change impact studies and adaptation strategies. It combines historical observations with future climate projections for the region.

Keywords:
Central and Eastern Europebias correctionclimatological database

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Area of Science:

  • Climatology and Environmental Science
  • Climate Change Research
  • Data Science for Environmental Applications

Background:

  • Reliable climate data is essential for understanding climate change impacts and developing adaptation strategies.
  • Central and Eastern Europe has inadequate knowledge of potential climate change effects, necessitating targeted research.
  • Existing climate datasets may not fully meet the specific needs of impact studies in this region.

Purpose of the Study:

  • To introduce FORESEE (Open Database for Climate Change Related Impact Studies in Central Europe), a novel climatological database.
  • To support research on and adaptation to climate change in Central and Eastern Europe.
  • To provide a comprehensive dataset combining historical observations and future climate projections.

Main Methods:

  • Developed a climatological database (FORESEE) using a questionnaire-based survey to define structure and content.
  • Integrated gridded daily observation-based data (1951-2013) from E-OBS and CRU TS datasets.
  • Incorporated bias-corrected climate projections (2014-2100) from 10 regional climate models (RCMs) under the A1B emission scenario (ENSEMBLES FP6 project).

Main Results:

  • FORESEE offers a seamless combination of historical climate data and future climate projections for Central and Eastern Europe.
  • The database includes bias-corrected meteorological data from multiple RCMs, enhancing reliability for impact studies.
  • The methodology, bias correction techniques, and data dissemination approach are designed to be replicable.

Conclusions:

  • FORESEE addresses the critical need for reliable climate data in Central and Eastern Europe for impact assessment and adaptation planning.
  • The database serves as a valuable resource for researchers and policymakers in the region.
  • The developed methodology provides a transferable framework for creating similar climate data resources elsewhere.