Abstract
The oncoming climate changes at the moment are the biggest challenge the mankind is faced with. They will exert influence on the ecosystems, on the all branches of the national economy, and on the quality of life. The climate changes and their consequences have a great number of regional features, which the global models cannot predict. That is why an operation plan for adaptation to climate changes has to be based on scientifically well-grounded assessments, giving an account of regional features in the climate changes and their consequences.
The purpose of the current research is to develop a method that permits a set of validated models, tuned to the physical geographic and climate conditions of the region will be able reliably to predict the regional climate changes for different global climate scenarios. The comprehensive and detail computer simulations will be done for the present climate. Here an evaluation of the ERA-Interim-driven regional climate model RegCM v4.4 over Southeastern Europe is presented. The study documents the performance of 20 different model configurations in representing the basic spatial and temporal patterns of the SE European climate for the period 1999–2009. Model evaluation focuses on near-surface air temperature and precipitation, and uses the EOBS data set as observational reference.
The study reveals that no particular model configuration can be judged as the best one, nevertheless seven ones indicate better performance for the precipitation during the summer.
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Acknowledgment
Deep gratitude to the organizations and institutes (ICTP, ECMWF, NCEP-NCAR, ECA&D, Unidata, MPI-M and all others), which provides free of charge software and data. Without their innovative data services and tools this study would be not possible. Special thanks to: VRE for regional Interdisciplinary communities in Southeastern Europe and the Eastern Mediterranean (VI-SEEM), Horizon 2020 project 675121, the EC-FP7 grant PIRSES-GA-2013-612671 (project REQUA), the Bulgarian National Science Fund (grant DN-04/2/13.12.2016), and Program for career development of young scientists, BAS.
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Gadzhev, G., Ivanov, V., Ganev, K., Chervenkov, H. (2018). TVRegCM Numerical Simulations - Preliminary Results. In: Lirkov, I., Margenov, S. (eds) Large-Scale Scientific Computing. LSSC 2017. Lecture Notes in Computer Science(), vol 10665. Springer, Cham. https://doi.org/10.1007/978-3-319-73441-5_28
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DOI: https://doi.org/10.1007/978-3-319-73441-5_28
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