An assessment of precipitation and surface air temperature over China by regional climate models

Abstract

An analysis of a 20-year summer time simulation of present-day climate (1989‒2008) over China using four regional climate models coupled with different land surface models is carried out. The climatic means, interannual variability, linear trends, and extremes are examined, with focus on precipitation and near surface air temperature. The models are able to reproduce the basic features of the observed summer mean precipitation and temperature over China and the regional detail due to topographic forcing. Overall, the model performance is better for temperature than that of precipitation. The models reasonably grasp the major anomalies and standard deviations over China and the five subregions studied. The models generally reproduce the spatial pattern of high interannual variability over wet regions, and low variability over the dry regions. The models also capture well the variable temperature gradient increase to the north by latitude. Both the observed and simulated linear trend of precipitation shows a drying tendency over the Yangtze River Basin and wetting over South China. The models capture well the relatively small temperature trends in large areas of China. The models reasonably simulate the characteristics of extreme precipitation indices of heavy rain days and heavy precipitation fraction. Most of the models also performed well in capturing both the sign and magnitude of the daily maximum and minimum temperatures over China.

Keywords

regional climate model / interannual variation / trend / extremes

References

[1] Chen F, Manning K W, LeMone M A, Trier S B, Alfieri J G, Roberts R, Tewari M, Niyogi D, Horst T W, Oncley S P, Basara J B, Blanken P D (2007). Description and evaluation of the characteristics if the NCAR high-resolution land data assimilation system. J Appl Meteorol Climatol, 46(6): 694–713

[2] Chen W L, Jiang Z H, Li L, Yiou P (2011). Simulation of regional climate change under the IPCC A2 scenario in southeast China. Clim Dyn, 36(3‒4): 491–507

[3] Christensen O B, Gaertner M A, Prego J A, Polcher J (2001). Internal variability of regional climate models. Clim Dyn, 17(11): 875–887

[4] Collins W D, Bitz C M, Blackmon M L, Bonan G B, Bretherton C S, Carton J A, Chang P, Doney S C, Hack J J, Henderson T B, Kiehl J T, Large W G, McKenna D S, Santer B D, Smith R D (2006). The community climate system model version 3 (CCSM3). J Clim, 19(11): 2122–2143

[5] Dickinson R E, Errico R M, Giorgi F, Bates G T (1989). A regional climate model for the western United States. Clim Change, 15(3): 383–422

[6] Dong S Y, Xu Y, Zhou B T, Shi Y (2015). Assessment of indices of temperature extremes simulated by multiple CMIP5 models over China. Adv Atmos Sci, 32(8): 1077–1091

[7] Duffy P B, Arritt R W, Coquard J, Gutowski W, Han J, Iorio J, Kim J, Leung L R, Roads J, Zeledon E (2006). Simulations of present and future climates in the Western United States with four nested regional climate models. J Clim, 19(6): 873–895

[8] Ek M B, Mitchell K E, Lin Y, Rogers E, Grunmann P, Koren V, Gayno G, Tarpley J D (2003). Implementation of Noah land surface model advancements in the National Centers for Environmental Prediction operational mesoscale Eta model. J Geophys Res, 108(D22): 8851

[9] Feng J M, Fu C B (2006). Inter-comparison of 10-year precipitation simulated by several RCMs for Asia. Advances in atmospheric sciences, 23: 531–542 (in Chinese)

[10] Feng J M, Fu C B (2007). Inter-comparison of long-term simulations of temperature and precipitation over China by different regional climate models. Chinese Journal of Atmospheric Sciences, 32: 805–814 (in Chinese)

[11] Feng J M, Wang Y L, Fu C B (2011). Simulation of extreme climate events over China with different regional climate models. Atmospheric and Oceanic Science Letters, 2011, 4: 47–56

[12] Fu C B, Wang S Y, Xiong Z, Gutowski W J, Lee D K, McGregor J L, Sato Y S, Kato H, Kim J W, Suh M S (2005). Regional climate model intercomparison project for Asia. BAMS, 257–266

[13] Fu C B, Wei H L, Chen M (1998). Simulation of the evolution of summer monsoon rainbelts over eastern China from regional climate model. Chinese J Atmos Sci, 22(4): 522–534 (in Chinese)

[14] Gao X J, Shi Y, Giorgi F (2011). A high resolution simulation of climate change over China. Sci China Earth Sci, 54(3): 462–472

[15] Giorgi F (1990). Simulation of regional climate using a limited area model nested in a general circulation model. J Clim, 3(9): 941–963

[16] Giorgi F, Bi X, Pal J S (2004). Mean, interannual variability and trends in a regional climate change experiment over Europe. I. Present-day climate (1961–1990). Clim Dyn, 22(6‒7): 733–756

[17] Giorgi F, Coppola E, Solmon F, Mariotti L, Sylla M B, Bi X, Elguindi N, Diro G T, Nair V, Giuliani G, Turuncoglu U U, Cozzini S, Güttler I, O’Brien T A, Tawfik A B, Shalaby A, Zakey A S, Steiner A L, Stordal F, Sloan L C, Brankovic C (2012). RegCM4: model description and preliminary tests over multiple CORDEX domains. Clim Res, 52: 7–29

[18] Giorgi F, Marinucci M R, Bates G T (1993a). Development of a second generation regional climate model (RegCM2) I: boundary layer and radiative transfer processes. Mon Weather Rev, 121(10): 2794–2813

[19] Giorgi F, Marinucci M R, Bates G T, de Canio G (1993b). Development of a second generation regional climate model (RegCM2) II: convective processes and assimilation of lateral boundary conditions. Mon Weather Rev, 121(10): 2814–2832

[20] Giorgi F, Mearns L O (1999). Introduction to special section: regional climate modeling revisited. J Geophys Res, 104(D6): 6335–6352

[21] Guo Y, Dong W J, Ren F M, Zhao Z C, Huang J B (2013). Surface air temperature simulations over China with CMIP5 and CMIP3. Adv Clim Change Res, 4(3), doi: 10.3724/SP.J.1248.2013.145

[22] Han Z Y, Zhou T J (2012). Assessing the quality of APHRODITE high-resolution daily precipitation dataset over contiguous China. Chinese Journal of Atmospheric Sciences, 36(2): 361–373 (in Chinese)

[23] Hong Y, Donat MG, Alexander LV, Sun Y (2014) Multi-dataset comparison of gridded observed temperature and precipitation extremes over China. International Journal of Climatoligy, doi: 10.1002/joc.4174

[24] Hu B Y, Tang J P, Wang S Y (2012). A numerical simulation for mid-21st century climate change over China under IPCC A1B scenario. Journal of the Meteorological Sciences, 32(2): 127–136

[25] Hu B Y, Tang J P, Wang S Y (2013). Evaluation and projection of extreme events over China under IPCC A1B scenario by MM5V3 model. Chinese J Geophys, 56(7): 2195–2206 in Chinese)

[26] Hu B Y, Wang S Y (2011). An assessment of surface air temperature and precipitation over China during 1982‒2001 by regional climate model. Journal of Nanjing University(Natural Sciences), 47(3): 318–329

[27] Jiang Z H, Song J, Li L, Chen W L, Wang Z F, Wang J (2012). Extreme climate events in China: IPCC-AR4 model evaluation and projection. Clim Change, 110(1‒2): 385–401

[28] Juang H M H, Hong S Y, Kanamitsu M (1997). The NCEP regional spectral model: an update. Bull Am Meteorol Soc, 78(10): 2125–2143

[29] Kanamitsu M, Ebisuzaki W, Woollen J, Yang SK, Hnilo J J, Fiorino M, Potter G L (2002). NCEP-DOE AMIP-II Reanalysis (R-2). Bulletin of the American Meteorological Society, 83(11): 1631–1643

[30] Katragkou E, Garcia-Diez M, Vautard R, Sobolowski S, Zanis P, Alexandri G, Cardoso R M, Colette A, Fernandez J, Gobiet A, Goergen K, Karacostas T, Knist S, Mayer S, Soares P M M, Pytharoulis I, Tegoulias I, Tsikerdekis A, Jacob D (2015). Regional climate hindcast simulations within EURO-CORDEX: evaluation of a WRF multi-physics ensemble. Geosci Model Dev, 8(3): 603– 618

[31] Liang X Z, Li L, Dai A, Kunkel K E (2004a). Regional climate model simulation of summer precipitation diurnal cycle over the United States. Geophys Res Lett, 31(24): L24208

[32] Liang X Z, Li L, Kunkel K E, Ting M, Wang J X L (2004b). Regional climate model simulation of U.S. precipitation during 1982–2002. Part I: annual cycle. J Clim, 17(18): 3510–3529

[33] Liang X Z, Xu M, Yuan X, Ling T, Choi H I, Zhang F, Chen L, Liu S, Su S, Qiao F, He Y, Wang J X L, Kunkel K E, Gao W, Joseph E, Morris V, Yu T W, Dudhia J, Michalakes J (2012). Regional climate–weather research and forecasting model. Bull Am Meteorol Soc, 93(9): 1363–1387

[34] Liu S Y, Gao W, Liang X Z (2013). A regional climate model downscaling projection of China future climate change. Clim Dyn, 41(7‒8): 1871–1884

[35] Oleson K W, Niu G Y, Yang Z L, Lawrence D M, Thornton P E, Lawrence P J, Stockli R, Dickinson R E, Bonan G B, Levis S, Dai A, Qian T (2008). Improvements to the Community Land Model and their impact on the hydrological cycle. J Geophys Res, 113(G1): G01021

[36] Pal J S, Giorgi F, Bi X, Elguindi N, Solmon F, Gao X, Pauscher S A, Gao X , Francisco R, Zakey A, Winter J, Ashfaq M, Syed F S, Bell J L, Diffenbaugh N S, Karmacharya J, Konaré A, Martinez D, da Rocha R P, Sloan L C, Steiner A L (2007). The ICTP RegCM3 and RegCNET: regional climate modeling for the developing world. Bull Am Meteorol Soc, 88: 1395–1409

[37] Steiner A L, Pal J S, Rauscher S A, Bell J L, Diffenbaugh N S, Boone A, Sloan L C, Giorgi F (2009). Land surface coupling in regional climate simulations of the West African monsoon. Clim Dyn, 33(6): 869–892

[38] Subin Z M, Riley W J, Jin J (2011). Ecosystem Feedbacks to Climate Change in California: Development, Testing, and Analysis Using a Coupled Regional Atmosphere and Land Surface Model (WRF3–CLM3.5). Earth Interactions, vol. 15, Paper No. 15

[39] Tang J P, Su B K, Zhao M (2003) Combinatorial optimization using MM5V3’s various parameterizations in different physical processes: regional climate simulation in East Asia. Journal of Nanjing University (Natural Sciences), 39(16): 754–769

[40] Tawfik A B, Steiner A L (2011). The role of soil ice in land–atmosphere coupling over the United States: a soil moistureprecipitation winter feedback mechanism. J Geophys Res, 116(D2): D02113

[41] Wang C H, Sun C (2013). Design and preliminary test of the Regional Climate Model (WRFC) base on coupling WRFV3.2 and CLM4.0. Plateau Meteorology, 32(6): 1626–1637

[42] Xu Y, Gao X J, Shen Y, Xu C H, Shi Y, Giorgi F (2009). A daily temperature dataset over China and its application in validating a RCM simulation. Adv Atmos Sci, 26(4): 763–772

[43] Yatagai A, Arakawa O, Kamiguchi K, Kawamoto H, Nodzu M I, Hamada A (2009). A 44-year daily gridded precipitation dataset for Asia based on a dense network of rain gauges. Science Online Letters on the Atmosphere, 5: 137–140

[44] Yhang Y B, Hong S Y (2008). Improved physical processes in a regional climate model and their impact on the simulated summer monsoon circulations over East Asia. J Clim, 21(5): 963–979

[45] Yu E T, Wang H J, Sun J Q (2010). A quick report on a dynamical downscaling simulation over China using the nested model. Atmos Oceanic Sci Lett, 3: 325–329

[46] Zhang D F, Ouyang L C, Gao X J, Zhao Z C, Pal J S, Giorgi F (2007). Simulation of the atmospheric circulation over East Asia and climate in China by RegCM3. Journal of Tropical Meteorology, 23(5): 444–452

[47] Zhao D (2013). Performance of regional integrated environment modeling system (RIEMS) in precipitation simulations over East Asia. Clim Dyn, 40(7‒8): 1767–1787

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