Review of Surface Solar Radiation Projections in Bias-Corrected Euro-Cordex Regional Climate Models

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Regional climate models (RCMs) are used in a wide range of climate applications as they can provide high resolution (up to 10 to 20 km or less) and multi-decadal simulations of the climate system describing climate feedback mechanisms acting at the regional scale. However due to different forcing data and physics parametrisations regional climate models might produce different results. This study aims to achieve a state-of-the-art knowledge of bias-corrected surface solar radiation projections coming from 11 EURO-CORDEX regional climate models. First a comparison against 63 GEBA observations is elaborated indicating a general overestimation of surface solar radiation (SSR) in the RCMs by 6.12 W/m2 (4.4%). Next changes in surface radiation between the period of 2031-2060 and 1971-2000 are presented on annual and seasonal time scale. The model projections indicate robust increase in SSR mainly in the western part of the Mediterranean region, while the northern part of the continent is characterised by decreases in SSR till the middle of this century. The study emphasis the need of an overall validation of different climate models before introducing them in impact studies in order to have an overview regarding the uncertainties.

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  • [1] Wild M Folini D Henschel F Fischer N Müller B (2015a) Projections of long-term changes in solar radiation based on CMIP5 climate models and their influence on energy yields of photovoltaic systems. Sol Energy 116:12–24

  • [2] Remund J Muller SC (2010) Trends in global radiation between 1950 and 2100. 10th EMS Annual Meeting 10th European Conference on Applications of Meteorology (ECAM). European Meteorological Society (EMS) Zurich

  • [3] Gaetani M et al (2014) The near future availability of photovoltaic energy in Europe and Africa in climate-aerosol modelling experiments. Renew Sust Energy Rev 38:706–716

  • [4] Jerez S Thais F Tobin I Wild M Colette A Yiou P Vautard R (2015) The CLIMIX model: a tool to create and evaluate spatially-resolved scenarios of photovoltaic and wind power development. Renew Sustain Energy Rev 42:1–15. doi:10.1016/j.rser.2014.09.041

  • [5] Panagea IS Tsanis IK Koutroulis AG Grillakis MG (2014) Climate change impact on photovoltaic energy output: the case of Greece. Adv Meteorol 2014:264506

  • [6] Pasicko R Brankovic C Simic Z (2012) Assessment of climate change impacts on energy generation from renewable sources in Croatia. Renew Energy 46:224–231

  • [7] Blanka Bartók Martin Wild Doris Folini Daniel Lüthi Sven Kotlarski Christoph Schär Robert Vautard Sonia Jerez Zoltán Imecs (2016): Projected changes in surface solar radiation in CMIP5 global climate models and in EURO-CORDEX regional climate models for Europe CLIMATE DYNAMICS doi: 10.1007/s00382-016-3471-2

  • [8] IPCC Climate Change (2013) The physical science basis. In: Stocker TF Qin D Plattner GK Tignor M Allen SK Boschung J Nauels A Xia Y Bex V Midgley PM (eds) Contribution of working group I to the ifth assessment report of the intergovernmental panel on climate change. Cambridge University Press Cambridge p1535. doi:10.1017/CBO9781107415324

  • [9] Jacob D Petersen J Eggert B Alias A Christensen OB Bouwer LM et al (2014) EURO-CORDEX: new high-resolution climate change projections for European impact research. Reg Environ Change 14(2):563–578

  • [10] Weedon G. P. et al (2010) The WATCH Forcing Data 1958–2001: A meteorological forcing dataset for land surface- and hydrological-models WATCH Tech. Rep. 22 41 pp.

  • [11] Vrac M. Drobinski P. Merlo A. Herrmann M. Lavaysse C. Li L. & Somot S. (2012). Dynamical and statistical downscaling of the French Mediterranean climate: uncertainty assessmt.en Natural Hazards and Earth System Sciences12 2769-2784

  • [12] Gilgen H Wild M Ohmura A (1998) Means and trends of shortwave irradiance at the surface estimated from global energy balance archive data. J Clim 11(8):2042–2061

  • [13] Szentimrey T (2003) Multiple analysis of series for homogenization (MASH); Veriication procedure for homogenized time series. In: Fourth seminar for homogenization and quality control in climatological databases WMO Budapest 56:193–201

  • [14] Stanhill G Cohen S (2001) Global dimming: a review of the evidence for a widespread and signiicant reduction in global radiation with discussion of its probable causes and possible agricultural consequences. Agric For Meteorol 107(4):255–278

  • [15] Wild M et al (2005) From dimming to brightening: decadal changes in surface solar radiation. Science 308:847–850. doi:10.1126/science.1103215

  • [16] Wild M (2009) Global dimming and brightening: A review. J Geophys Res 114:D00D16. doi:10

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