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Article

Bias Correction of RCM Precipitation by TIN-Copula Method: A Case Study for Historical and Future Simulations in Cyprus

1
Climate and Atmosphere Research Center (CARE-C), The Cyprus Institute, Aglantzia 2121, Cyprus
2
Department of Meteorology and Climatology, School of Geology, Aristotle University of Thessaloniki, 54636 Thessaloniki, Greece
3
Department of Atmospheric Chemistry, Max Planck Institute for Chemistry, 55128 Mainz, Germany
*
Author to whom correspondence should be addressed.
Climate 2020, 8(7), 85; https://doi.org/10.3390/cli8070085
Received: 29 May 2020 / Revised: 1 July 2020 / Accepted: 2 July 2020 / Published: 4 July 2020
(This article belongs to the Special Issue Precipitation: Forecasting and Climate Projections)
Numerical models are being used for the simulation of recent climate conditions as well as future projections. Due to the complexity of the Earth’s climate system and processes occurring at sub-grid scales, model results often diverge from the observed values. Different methods have been developed to minimize such biases. In the present study, the recently introduced “triangular irregular networks (TIN)-Copula” method was used for the bias correction of modelled monthly total and extreme precipitation in Cyprus. The method was applied to a 15-year historical period and two future periods of the same duration. Precipitation time-series were derived from a 12-km resolution EURO-CORDEX regional climate simulation. The results show that the TIN-Copula method significantly reduces the positive biases between the model results and observations during the historical period of 1986–2000, for both total and extreme precipitation (>80%). However, the level of improvement differs temporally and spatially. For future periods, the model tends to project significantly higher total precipitation rates prior to bias correction, while for extremes the differences are smaller. The adjustments slightly affect the overall climate change signal, which tends to be enhanced after bias correction, especially for total precipitation and for the autumn period. View Full-Text
Keywords: bias correction; precipitation; extremes; TIN-Copula; Cyprus; Mediterranean; climate model bias correction; precipitation; extremes; TIN-Copula; Cyprus; Mediterranean; climate model
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MDPI and ACS Style

Lazoglou, G.; Zittis, G.; Anagnostopoulou, C.; Hadjinicolaou, P.; Lelieveld, J. Bias Correction of RCM Precipitation by TIN-Copula Method: A Case Study for Historical and Future Simulations in Cyprus. Climate 2020, 8, 85. https://doi.org/10.3390/cli8070085

AMA Style

Lazoglou G, Zittis G, Anagnostopoulou C, Hadjinicolaou P, Lelieveld J. Bias Correction of RCM Precipitation by TIN-Copula Method: A Case Study for Historical and Future Simulations in Cyprus. Climate. 2020; 8(7):85. https://doi.org/10.3390/cli8070085

Chicago/Turabian Style

Lazoglou, Georgia, George Zittis, Christina Anagnostopoulou, Panos Hadjinicolaou, and Jos Lelieveld. 2020. "Bias Correction of RCM Precipitation by TIN-Copula Method: A Case Study for Historical and Future Simulations in Cyprus" Climate 8, no. 7: 85. https://doi.org/10.3390/cli8070085

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