Abstract
In this study, five regional climate models (RCMs) participating in the CORDEX-East Asia project (HadGEM3-RA, RegCM4, SNU-MM5, SNU-WRF, and YSU-RSM) are evaluated in terms of their performances in simulating the climatology of summer extremes in East Asia. Seasonal maxima of daily mean temperature and precipitation are analyzed using the generalized extreme value method. RCMs show systematic bias patterns in both seasonal means and extremes. A cold bias is located along the coast, whereas a warm bias occurs in northern China. Overall, wet bias occurs in East Asia, but with a substantial dry bias centered in South Korea. This dry bias appears to be related to the colder ocean surface around South Korea, positioning the monsoonal front further south compared to observations. Taylor diagram analyses reveal that the models simulate temperature means more accurately compared to extremes because of the higher spatial correlation, whereas precipitation extremes are simulated better than their means because of the higher spatial variability. The latter implies that extreme rainfall events can be captured more accurately by RCMs compared to the driving GCM despite poorer simulation of mean rainfall. Inter-RCM analysis indicates a close relationship between the means and extremes in terms of model skills, but it does not show a clear relationship between temperature and precipitation. Sub-regional analysis largely supports the mean–extreme skill relationship. Analyses of frequency and intensity distributions of daily data for three selected sub-regions suggest that overall shifts of temperature distribution and biases in moderate–heavy precipitations contribute importantly to the seasonal mean biases.
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Baek H-J, Lee J, Lee H-S et al (2013) Climate change in the 21st century simulated by HadGEM2-AO under representative concentration pathways. Asia-Pac J Atmos Sci 49:603–618
Boo K-O, Kwon W-T, Baek H-J (2006) Change of extreme events of temperature and precipitation over Korea using regional projection of future climate change. Geophys Res Lett 33:L01701. doi:10.1029/2005GL023378
Cha DH, Lee DK (2009) Reduction of systematic errors in regional climate simulations of the summer monsoon over East Asia and the western North Pacific by applying the spectral nudging technique. J Geophys Res 114:D14108. doi:10.1029/2008JD011176
Choi G, Collins D, Ren G et al (2009) Changes in means and extreme events of temperature and precipitation in the Asia-Pacific Network region, 1955–2007. Int J Climatol 29:1906–1925
Christensen JH, Hewitson B, Busuioc A et al (2007) Regional climate projections. In: Solomon S et al (eds) Climate Change 2007: The physical science basis. Contribution of working group I to the fourth assessment report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, UK and New York, NY, USA
Coles SG (2001) An introduction to statistical modeling of extreme values. Springer, Berlin
Davies T, Cullen MJP, Malcolm AJ, Mawson MH, Staniforth A, White AA, Wood N (2005) A new dynamical core for the Met Office’s global and regional modeling of the atmosphere. Q J R Meteorol Soc 131:1759–1782
Dee DP, Uppala SM, Simmons AJ et al (2011) The ERA-Interim reanalysis: configuration and performance of the data assimilation system. Q J R Meteorol Soc 137:553–597
Déqué M, Rowell DP, Lüthi D et al (2007) An intercomparison of regional climate simulations for Europe: assessing uncertainties in model projections. Clim Change 81:53–70
Flaounas E, Drobinski P, Borga M, Calvet J-C, Delrieu G, Morin E, Tartari G, Toffolon R (2012) Assessment of gridded observations used for climate model validation in the Mediterranean region: the HyMeX and MED-CORDEX framework. Environ Res Lett 7:024017. doi:10.1088/1748-9326/7/2/024017
Foley AM (2010) Uncertainty in regional climate modelling: a review. Prog Phys Geogr 34:647–670
Freychet N, Hsu H, Chou C, Wu C (2015) Asian summer monsoon in CMIP5 projections: a link between the change in extreme precipitation and monsoon dynamics. J Clim. doi:10.1175/JCLI-D-14-00449.1
Giorgi F, Mearns LO (1999) Introduction to special section: regional climate modeling revisited. J Geophys Res 104:6335–6352
Giorgi F, Christensen J, Hulme M et al (2001) Regional climate information—evaluation and projections. In: Houghton JT et al (eds) Climate Change 2001: The Scientific Basis. Cambridge University Press, Cambridge, UK and New York, NY, USA, pp 583–638
Giorgi F, Jones C, Asrar GR (2009) Addressing climate information needs at the regional level: the CORDEX framework. WMO Bull 58:175–183
Giorgi F, Coppola E, Solmon F et al (2012) RegCM4: model description and preliminary tests over multiple CORDEX domains. Clim Res 52:7–29
Griffiths GM, Chambers LE, Haylock MR et al (2005) Change in mean temperature as a predictor of extreme temperature change in the Asia-Pacific region. Int J Climatol 25:1301–1330
Ho C-H, Park T-W, Jun S-Y et al (2011) A projection of extreme climate events in the 21st century over East Asia using the community climate system model 3. Asia-Pac J Atmos Sci 47:329–344
Hong S-Y, Kanamitsu M (2014) Dynamical downscaling: Fundamental issues from an NWP point of view and recommendations. Asia-Pac J Atmos Sci 50:83–104
Hong S-Y, Park H, Cheong H-B et al (2012) The global/regional integrated model system (GRIMs). Asia-Pac J Atmos Sci 49:219–243
Im E-S, Kwon W-T (2007) Characteristics of extreme climate sequences over Korea using a regional climate change scenario. Sci Online Lett Atmos 3:17–20
Im E-S, Ahn J-B, Kwon W-T, Giorgi F (2008) Multi-decadal scenario simulation over Korea using a one-way double-nested regional climate model system. Part 2: future climate projection (2021–2050). Clim Dyn 30:239–254
IPCC (2012) Managing the risks of extreme events and disasters to advance climate change adaptation. In: Field CB et al (eds) A special report of working groups I and II of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, UK, and New York, NY, USA
IPCC (2013) Climate change 2013: the physical science basis. In: Stocker TF et al (eds) Contribution of working group I to the fifth assessment report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, UK and New York, NY, USA
Jacob D, Elizalde A, Haensler A et al (2012) Assessing the transferability of the regional climate model REMO to different COordinated Regional Climate Downscaling EXperiment (CORDEX) regions. Atmosphere 3:181–199
Kanamaru H, Kanamitsu M (2007) Scale-selective bias correction in a downscaling of global analysis using a regional model. Mon Wea Rev 135:334–350
Kharin VV, Zwiers FW (2000) Changes in the extremes in an ensemble of transient climate simulation with a coupled atmosphere-ocean GCM. J Clim 13:3760–3788
Kharin VV, Zwiers FW (2005) Estimating extremes in transient climate change simulations. J Clim 18:1156–1173
Kim J, Waliser DE, Mattmann CA et al (2013) Evaluation of the CORDEX-Africa multi-RCM hindcast: systematic model errors. Clim Dyn. doi:10.1007/s00382-013-1751-7
Klein Tank AMG, Zwiers FW, Zhang X (2009) Guidelines on analysis of extremes in a changing climate in support of informed decisions for adaptation. Climate data and monitoring WCDMP-No. 72, WMO-TD No. 1500
Kusunoki S, Arakawa O (2012) Change in the precipitation intensity of the East Asian summer monsoon projected by CMIP3 models. Clim Dyn 38:2055–2072
Lee J-W, Hong S-Y (2014) Potential for added value to downscaled climate extremes over Korea by increased resolution of a regional climate model. Theor Appl Climatol 117:667–677
Martin GM, Bellouin N, Collins WJ et al (2011) The HadGEM2 family of Met Office Unified Model climate configurations. Geosci Model Dev 4:723–757
Martynov A, Laprise R, Sushama L, Winger K, Šeparović L, Dugas B (2013) Reanalysis-driven climate simulation over CORDEX North America domain using the Canadian Regional Climate Model, version 5: model performance evaluation. Clim Dyn 41:11–12
Miguez-Macho G, Stenchikov GL, Robock A (2005) Regional climate simulations over North America: interaction of local processes with improved large-scale flow. J Clim 18:1227–1246
Min S-K, Kim Y-H, Kim M-K, Park C (2014) Assessing human contribution to the summer 2013 Korean heat wave. In: Herring SC, Hoerling MP, Peterson TC, Stott PA (eds) Explaining extreme events of 2013 from a climate perspective. Bull Am Meteorol Soc 95:S48–S51
Min S-K, Son S-W, Seo K-H et al (2015) Changes in weather and climate extremes over Korea and possible causes: a review. Asia-Pac J Atmos Sci 52:103–121
Nikulin G, Jones C, Giorgi F et al (2012) Precipitation climatology in an ensemble of CORDEX-Africa regional climate simulations. J Clim 25:6057–6078
Oh S-G, Suh M-S, Cha D-H (2013) Impact of lateral boundary conditions on precipitation and temperature extremes over South Korea in the CORDEX regional climate simulation using RegCM4. Asia-Pac J Atmos Sci 49:497–509
Ozturk T, Altinsoy H, Türkeş M, Kurnaz L (2012) Simulation of temperature and precipitation climatology for the Central Asia CORDEX domain using RegCM 4.0. Clim Res 52:63–76
Rayner NA, Parker DE, Horton EB, Folland CK, Alexander LV, Rowell DP, Kent EC, Kaplan A (2003) Global analyses of sea surface temperature, sea ice, and night marine air temperature since the late nineteenth century. J Geophys Res 108:4407. doi:10.1029/2002JD002670
Skamarock WC, Klemp JB, Dudhia J, Gill DO, Barker DM, Wang W, Powers JG (2005) A description of the advanced research WRF version 2. NCAR Technical note NCAR/TN-4681STR
Solman SA, Sanchez E, Samuelsson P et al (2013) Evaluation of an ensemble of regional climate model simulations over South America driven by the ERA-Interim reanalysis: model performance and uncertainties. Clim Dyn 41:1139–1157
Sperber KR, Annamalai H, Kang IS, Kitoh A, Moise A, Turner A, Wang B, Zhou T (2013) The Asian summer monsoon: an intercomparison of CMIP5 vs. CMIP3 simulations of the late 20th century. Clim Dyn 41:2711–2744
Suh M-S, Oh S-G, Lee D-K, Cha D-H, Choi S-J, Jin C-S, Hong S-Y (2012) Development of new ensemble methods based on the performance skills of regional climate models over South Korea. J Clim 25:7067–7082
Taylor KE (2001) Summarizing multiple aspects of model performance in a single diagram. J Geophys Res 106:7183–7192
Von Storch H, Langerberg H, Feser F (2000) A spectral nudging technique for dynamical downscaling purposes. Mon Wea Rev 128:3664–3673
Wang Y, Leung LR, McGregor JL, Lee DK, Wang WC, Ding YH, Kimura F (2004) Regional climate modeling: Progress, challenges and prospects. J Meteorol Soc Jpn 82:1599–1628
Wehner M (2013) Very extreme seasonal precipitation in the NARCCAP ensemble: model performance and projections. Clim Dyn 40:59–80
Xie P, Arkin PA (1997) Global precipitation: a 17-year monthly analysis based on gauge observations, satellite estimates, and numerical model outputs. Bull Am Meteorol Soc 78:2539–2558
Yatagai A, Kaminguchi K, Arakawa O, Hamada A, Yasutomi N, Kitoh A (2012) APHRODITE: Constructing a long-term daily gridded precipitation dataset for Asia based on a dense network of rain gauges. Bull Am Meteorol Soc 93:1401–1415
Acknowledgments
This work was supported by the Korea Meteorological Administration Research and Development Program under Grant CATER 2013-3180, and in part supported by the Human Resources Development of the Korea Institute of Energy Technology Evaluation and Planning (KETEP) Grant funded by the Korea government Ministry of Trade, Industry and Energy (No. 20144030200460).
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Park, C., Min, SK., Lee, D. et al. Evaluation of multiple regional climate models for summer climate extremes over East Asia. Clim Dyn 46, 2469–2486 (2016). https://doi.org/10.1007/s00382-015-2713-z
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DOI: https://doi.org/10.1007/s00382-015-2713-z