Abstract
We analyze a set of nine regional climate model simulations for the period 1961–2000 performed at 25 and 50 km horizontal grid spacing over a European domain in order to determine the effects of horizontal resolution on the simulation of precipitation. All of the models represent the seasonal mean spatial patterns and amount of precipitation fairly well. Most models exhibit a tendency to over-predict precipitation, resulting in a domain-average total bias for the ensemble mean of about 20% in winter (DJF) and less than 10% in summer (JJA) at both resolutions, although this bias could be artificially enhanced by the lack of a gauge correction in the observations. A majority of the models show increased precipitation at 25 km relative to 50 km over the oceans and inland seas in DJF, JJA, and ANN (annual average), although the response is strongest during JJA. The ratio of convective precipitation to total precipitation decreases over land for most models at 25 km. In addition, there is an increase in interannual variability in many of the models at 25 km grid spacing. Comparison with gridded observations indicates that a majority of models show improved skill in simulating both the spatial pattern and temporal evolution of precipitation at 25 km compared to 50 km during the summer months, but not in winter or on an annual mean basis. Model skill at higher resolution in simulating the spatial and temporal character of seasonal precipitation is found especially for Great Britain. This geographic dependence of the increased skill suggests that observed data of sufficient density are necessary to capture fine-scale climate signals. As climate models increase their horizontal resolution, it is thus a key priority to produce high quality fine scale observations for model evaluation.
Similar content being viewed by others
References
Adam JC, Lettenmaier DP (2003) Adjustment of global gridded precipitation for systematic bias. J Geophys Res Atmospheres 108:4257. doi:10.1029/2002JD002499
Adam JC, Clark EA, Lettenmaier DP, Wood EF (2006) Correction of global precipitation products for orographic effects. J Clim 19:15–38. doi:10.1175/JCLI3604.1
Bengtsson L, Botzet M, Esch M (1995) Hurricane-type vortices in a general circulation model. Tellus Ser A 47:175–196. doi: 10.1034/j.1600-0870.1995.t01-1-00003.x
Boville BA (1991) Sensitivity of simulated climate to model resolution. J Clim 4:469–486
Castro CL, Pielke RA, Leoncini G (2005) Dynamical downscaling: assessment of value retained and added using the Regional Atmospheric Modeling System (RAMS). J Geophys Res Atmospheres 110:D05108. doi:10.1029/2004JD004721
Duffy PB, Govindasamy B, Iorio JP, Milovich J, Sperber KR, Taylor KE, Wehner MF, Thompson SL (2003) High-resolution simulations of global climate, part 1: present climate. Clim Dyn 21:371–390. doi:10.1007/s00382-003-0339-z
Frei C, Schär C (1998) A precipitation climatology of the Alps from high-resolution rain-gauge observations. Int J Climatol 18:873–900
Frei C, Christensen JH, Déqué M, Jacob D, Jones RG, Vidale PL (2003) Daily precipitation statistics in regional climate models: evaluation and intercomparison for the European Alps. J Geophys Res Atmospheres 108:4124. doi:10.1029/2002JD002287
Gao X, Xu Y, Zhao Z, Pal JS, Giorgi F (2006) On the role of resolution and topography in the simulation of East Asia precipitation. Theor Appl Climatol 86:173–185. doi:10.1007/s00704-005-0214-4
Giorgi F (2002) Dependence of the surface climate interannual variability on spatial scale. Geophys Res Lett 29(23):2101. doi:10.1029/2002GL016175
Giorgi F, Bates GT (1989) The climatological skill of a regional model over complex terrain. Mon Wea Rev 117:2325–2347
Giorgi F, Marinucci MR (1996) An investigation of the sensitivity of simulated precipitation to the model resolution and its implications for climate studies. Mon Wea Rev 124:148–166
Giorgi F, Mearns LO (1991) Approaches to regional climate change simulation: a review. Rev Geophys 29:191–216
Giorgi F, Marinucci MR, Visconti G (1992) 2×CO2 climate change scenario over Europe generated using a limited area model nested in a general circulation model, 2. Climate Change Scenario 97:10011–10028
Giorgi F, Shields C, Brodeur, Bates GT (1994) Regional climate change scenarios over the United States produced with a nested regional climate model: spatial and seasonal characteristics. J Clim 7:375–399
Giorgi F, Mearns L, Shields C, McDaniel L (1998) Regional nested model simulations of present day and 2 × CO2 climate over the Central Great Plains of the United States. Clim Change 40:457–493
Gong X, Barnston AG, Ward MN (2003) The effect of spatial aggregation on the skill of seasonal precipitation forecasts. J Clim 16:3059–3071. doi:10.1175/1520-0442(2003)016
Gordon HB, Whetton PH, Pittock AB, Fowler AM, Haylock MR (1992) Simulated changes in daily rainfall intensity due to the enhanced greenhouse effect: implications for extreme rainfall events. Clim Dyn 8:83–102. doi:10.1007/BF00209165
Haylock MR, Hofstra N, Klein Tank AMG, Klok EJ, Jones PD, New M (2008) A European daily high-resolution gridded data set of surface temperature and precipitation for 1950-2006. J Geophys Res Atmospheres 113:D20119. doi:10.1029/2008JD010201
Hewitt CD, Griggs DJ (2004) Ensembles-based predictions of climate changes and their impacts. EOS 85:566
Iorio JP, Duffy PB, Govindasamy B, Thompson SL, Khairoutdinov M, Randall D (2004) Effects of model resolution and subgrid-scale physics on the simulation of precipitation in the continental United States. Clim Dyn 23:243–258. doi:10.1007/s00382-004-0440-y
Jones RG, Murphy JM, Noguer M (1995) Simulation of climate change over Europe using a nested regional-climate model. I: assessment of control climate, including sensitivity to location of lateral boundaries. Q J R Meteorol Soc 121:1413–1449. doi:10.1256/smsqj.52609
Leung LR, Qian Y (2003) The sensitivity of precipitation and snowpack simulations to model resolution via nesting in regions of complex terrain. J Hydrometeorol 4:1025–1043
Mass CF, Ovens D, Westrick K, Colle BA (2002) Does increasing horizontal resolution produce more skillful forecasts?. Bull Am Meteorol Soc 83:407–430
Mearns LO, Giorgi F, McDaniel L, Brodeur CS (1995) Analysis of daily variability and diurnal range of temperature in a nested regional climate model: comparison with observations and doubled CO2 results. Climate Dyn 11:193–209
Mitchell TD, Carter TR, Jones PD, Hulme M, New M (2004) A comprehensive set of high-resolution grids of monthly climate for Europe and the globe: the observed record (1901–2000) and 16 scenarios (2001-2100), Working Paper 55, Tyndall Centre
New M, Hulme M, Jones P (1999) Representing twentieth-century space-time climate variability. Part I: development of a 1961–90 mean monthly terrestrial climatology. J Clim 12:829–856. doi:10.1175/1520-0442(1999)012
New MG, Hulme M, Jones PD (2000) Representing 20th century space-time climate variability. Part II: development of 1901–96 monthly grids of terrestrial surface climate. J Clim 13:2217–2238
New MG, Lister D, Hulme M, Makin I (2002) A high-resolution data set of surface climate over global land areas. Clim Res 21:1–25
Oouchi K, Yoshimura J, Yoshimura H, Mizuta R, Noda A (2006) Tropical cyclone climatology in a global-warming climate as simulated in a 20 km-mesh global atmospheric model: frequency and wind intensity analyses. J Meteorol Soc Japan 84:259–276
Pope VD, Stratton RA (2002) The processes governing horizontal resolution sensitivity in a climate model. Clim Dyn 19:211–236. doi:10.1007/s00382-001-0222-8
Rauscher SA, Seth A, Qian JH, Camargo SJ (2006) Domain choice in an experimental nested modeling prediction system for South America. Theor Appl Climatol 86:229–246. doi:10.1007/s00704-006-0206-z
Rockel B, Woth K (2007) Extremes of near-surface wind speed over Europe and their future changes as estimated from an ensemble of RCM simulations. Clim Change 81:267–280
Rojas M (2006) Multiply nested regional climate simulation for southern South America: sensitivity to model resolution. Mon Wea Rev 134:2208–2223
Sanchez-Gomez E, Somot S, Déqué M (2008) Ability of an ensemble of regional climate models to reproduce the weather regimes during the period 1961–2000. Clim Dyn. doi:10.1007/s00382-008-0502-7
Seth A, Rauscher SA, Camargo SJ, Qian JH, Pal JS (2007) RegCM3 regional climatologies for South America using reanalysis and ECHAM global model driving fields. Clim Dyn 28:461–480. doi:10.1007/s00382-006-0191-z
Stephenson DB, F FC, Royer JF (1998) Simulation of the Asian summer monsoon and its dependence on model horizontal resolution. J Meteorol Soc Jpn 76:237–265
Taylor KE (2001) Summarizing multiple aspects of model performance in a single diagram. J Geophys Res 106:7183–7192. doi:10.1029/2000JD900719
Tian X, Dai A, Yang D, Xie Z (2007) Effects of precipitation-bias corrections on surface hydrology over northern latitudes. J Geophys Res Atmospheres 112:D14101. doi:10.1029/2007JD008420
Uppala SM, Kallberg PW, Simmons AJ, Andrae U, Bechtold VDC, Fiorino M, Gibson JK, Haseler J, Hernandez A, Kelly GA, Li X, Onogi K, Saarinen S, Sokka N, Allan RP, Andersson E, Arpe K, Balmaseda MA, Beljaars ACM, Berg LVD, Bidlot J, Bormann N, Caires S, Chevallier F, Dethof A, Dragosavac M, Fisher M, Fuentes M, Hagemann S, Hólm E, Hoskins BJ, Isaksen L, Janssen PAEM, Jenne R, McNally AP, Mahfouf JF, Morcrette JJ, Rayner NA, Saunders RW, Simon P, Sterl A, Trenberth KE, Untch A, Vasiljevic D, Viterbo P, Woollen J (2005) The ERA-40 re-analysis. Q J R Meteorol Soc 131:2961–3012. doi:10.1256/qj.04.176
Willmott CJ (1982) Some comments on the evaluation of model performance. Bull Am Meteorl Soc 63:1309–1369. doi:10.1175/1520-0477(1982)063
Xu H, Wang Y, Xie SP (2004) Effects of the Andes on eastern Pacific climate: a regional atmospheric model study. J Clim 17:589–602
Yang D, Kane D, Zhang Z, Legates D, Goodison B (2005) Bias corrections of long-term (1973-2004) daily precipitation data over the northern regions. Geophys Res Lett 32:L19501. doi:10.1029/2005GL024057
Acknowledgments
We acknowledge the ENSEMBLES project, funded by the European Commission’s 6th Framework Programme through contract GOCE-CT-2003-505539. We acknowledge the climate dataset from the EU-FP6 project ENSEMBLES (http://www.ensembles-eu.org) and the data providers in the ECA and D project (http://www.eca.knmi.nl). This study was partly funded by the European Union FP6 project WATCH (contract number 036946). We thank all of the participating modeling groups for providing the data. We thank Malcolm Haylock and Albert Klein Tank for answering questions about the Ensembles observations, and David Lister for providing information about the CRU TS1.2 data set. We thank Fred Kucharski for providing a script to produce the Taylor diagrams. We thank Ole Bossing Christensen for data processing help, and Erik Kjellström for providing information on the SMHI time step. We are grateful to two anonymous reviewers for their thoughtful and helpful comments.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Rauscher, S.A., Coppola, E., Piani, C. et al. Resolution effects on regional climate model simulations of seasonal precipitation over Europe. Clim Dyn 35, 685–711 (2010). https://doi.org/10.1007/s00382-009-0607-7
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00382-009-0607-7