Abstract
In this article, we examine climate model estimations for the future climate over central Belgium. Our analysis is focused mainly on two variables: potential evapotranspiration (PET) and precipitation. PET is calculated using the Penman equation with parameters appropriately calibrated for Belgium, based on RCM data from the European project PRUDENCE database. Next, we proceed into estimating the model capacity to reproduce the reference climate for PET and precipitation. The same analysis for precipitation is also performed based on GCM data from the IPCC AR4 database. Then, the climate change signal is evaluated over central Belgium using RCM and GCM simulations based on several SRES scenarios. The RCM simulations show a clear shift in the precipitation pattern with an increase during winter and a decrease during summer. However, the inclusion of another set of SRES scenarios from the GCM simulations leads to a less clear climate change signal.
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Boukhris O, Willems P, Baguis P, Roulin E (2008) Rainfall and evapotranspiration climate change scenarios for impact analysis on hydrological extremes in Belgium, ECWATECH-2008 Conference (International Trade Fair and Congress "Water: Ecology and Technology"), 3-6 June 2008, Moscow, Russia
Brouyaux F, De Backer H, Debontridder L, Delcloo A, Dewitte S, Cheymol A, Hus J, Joukoff A, Mohymont B, Roulin E, Tricot C, Van Malderen R, Vandiepenbeeck M, Vannitsem S (2009) Vigilance Climatique. Royal Meteorol Inst Belg
Brunetti M, Buffoni L, Maugeri M, Nanni T (2000) Precipitation intensity trends in northern Italy. Int J Clim 20:1017–1031
Bultot F, Coppens A, Dupriez G (1983) Estimation de l’évapotranspiration potentielle en Belgique. Publications/publicaties série/serie A No 112 Royal Meteorol Inst Belg
Bultot F, Dupriez GL, Gellens D (1988) Estimated annual regime of energy-balance components, evapotranspiration and soil moisture for a drainage basin in the case of a CO2 doubling. Clim Change 12:39–56
Christensen JH, Christensen OB (2007) A summary of the PRUDENCE model projections of changes in European climate by the end of this century. Clim Change 81:7–30
Demarée GR, Lachaert P-J, Verhoeve T, Thoen E (2002) The long-term daily Central Belgium Temperature (CBT) series (1767–1998) and early instrumental meteorological observations in Belgium. Clim Change 53:269–293
Doblas-Reyes FJ, Hagedorn R, Palmer TN (2005) The rationale behind the success of multi-model ensembles in seasonal forecasting–II. Calibration and combination. Tellus 57A:234–252
Ekström M, Fowler HJ, Kilsby CG, Jones PD (2005) New estimates of future changes in extreme rainfall across the UK using regional climate model integrations. 2. Future estimates and use in impact studies. J Hydrol 300:234–251
Fowler HJ, Ekström M, Kilsby CG, Jones PD (2005) New estimates of future changes in extreme rainfall across the UK using regional climate model integrations. 1. Assessment of control climate. J Hydrol 300:212–233
Frei C, Schär C (2001) Detection probability of trends in rare events: theory and application to heavy precipitation in the alpine region. J Clim 14:1568–1584
Gellens-Meulenberghs F, Gellens D (1992) L’évapotranspiration potentielle en Belgique: variabilité spatiale et temporelle. Royal Meteorol Inst Belg Pub Series A No 130
Gong L, Xu C-Y, Chen D, Halldin S, Chen YD (2006) Sensitivity of the Penman-Monteith reference evapotranspiration to key climatic variables in the Changjiang (Yangtze River) basin. J Hydrol 329:620–629
Hagedorn R, Doblas-Reyes FJ, Palmer TN (2005) The rationale behind the success of multi-model ensembles in seasonal forecasting–I. Basic concept. Tellus 57A:219–233
Hamdi R, Deckmyn A, Termonia P, Demarée GR, Baguis P, Vanhuysse S, Wolff E (2009) Effects of historical urbanization in the Brussels Capital Region on surface air temperature time series: a model study. Submitted to J Appl Meteorol Climatol
Houghton JT, et al (2001) (eds) Climate Change 2001: The Scientific Basis. Cambridge Univ Press
Idso SB (1981) A set of equations for full spectrum and 8- to 14 m and 10.5- to 12.5 m thermal radiation from cloudless skies. Water Resour Res 17:295–304
Intergovernmental Panel on Climate Change (IPCC) (2000) Special Report for Emission Scenarios (SRES)
Intergovernmental Panel on Climate Change (IPCC) (2007) Fourth Assessment Report (FOAR)
Kannan N, White SM, Worrall F, Whelan MJ (2007) Sensitivity analysis and identification of the best evapotranspiration and runoff options for hydrological modelling in SWAT-2000. J Hydrol 332:456–466
Kay AL, Davies HN (2008) Calculating potential evaporation from climate model data: a source of uncertainty for hydrological climate change impacts. J Hydrol 358:221–239
Krishnamurti TN, Kishtawal CM, Zhang Z, LaRow T, Bachiochi D, Williford E, Gadgil S, Surendran S (2000) Multimodel ensemble forecasts for weather and seasonal climate. J Clim 13:4196–4216
Manabe S, Bryan K (1969) Climate calculations with a combined ocean atmosphere model. J Atmos Sci 26:786–789
Manabe S, Wetherald RT (1975) The effect of doubling the CO2 concentration on the climate of a general circulation model. J Atmos Sci 32:3–15
Manabe S, Wetherald RT, Stouffer RJ (1981) Summer dryness due to an increase in atmospheric CO2 concentration. Clim Change 3:347–386
Marsh TJ (2001) The 2000/2001 floods in the UK—a brief overview. Weather 56:343–345
Martin M, Berdahl P (1984) Characteristics of infrared sky radiation in the United States. Sol Energy 33:321–336
Monteith JL (1973) Principles of environmental physics. Contemporary Biology Series. Arnold, London
Osborn TJ, Hulme M, Jones PD, Basnett TA (2000) Observed trends in the daily intensity of United Kingdom precipitation. Int J Clim 20:347–364
Oudin L, Hervieu F, Michel C, Perrin C, Andreassian V, Anctil F, Loumagne C (2005) Which potential evapotranspiration input for a lumped rainfall-runoff model? Part 2 — Towards a simple and efficient potential evapotranspiration model for rainfall-runoff modeling. J Hydrol 303:290–306
Palmer TN (2000) Predicting uncertainty in forecasts of weather and climate. Rep Prog Phys 63:71–116
Palmer TN, Räisänen J (2002) Quantifying the risk of extreme seasonal precipitation events in a changing climate. Nature 415:512–514
Penman HL (1948) Natural evaporation from open water, bare soil and grass. Proc R Soc Lond A193:120–146
Roulin E, Gellens-Meulenberghs F, Gosset J (1996) Operational assessment of surface radiative fluxes over Belgium by means of Meteosat PDUS and meteorological data. In: Parlow E (ed) Progress in environmental remote sensing research and applications. Balkema, Rotterdam, pp 409–416
Rowell DP, Jones RG (2006) Causes and uncertainty of future summer drying over Europe. Clim Dyn 27:281–299
Wetherald RT, Manabe S (1995) The mechanisms of summer dryness induced by greenhouse warming. J Clim 8:3096–3108
Acknowledgments
The research presented in this paper was done in the scope of the CCI-HYDR research project for the Belgian Science Policy Office (BelSPO)—Research Program “Science for a Sustainable Development”. Data for this work have been provided through the IPCC Data Distribution Center and through the PRUDENCE data archive. The IPCC data are available for download from http://www.ipcc-data.org/ and the PRUDENCE data from http://prudence.dmi.dk/.
We would like finally to thank the referees for their remarks that helped us to further improve this work.
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Baguis, P., Roulin, E., Willems, P. et al. Climate change scenarios for precipitation and potential evapotranspiration over central Belgium. Theor Appl Climatol 99, 273–286 (2010). https://doi.org/10.1007/s00704-009-0146-5
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DOI: https://doi.org/10.1007/s00704-009-0146-5