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

Xueyuan WANG, Jianping TANG, Xiaorui NIU, Shuyu WANG

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Front. Earth Sci. ›› 2016, Vol. 10 ›› Issue (4) : 644-661. DOI: 10.1007/s11707-015-0548-x
RESEARCH ARTICLE
RESEARCH ARTICLE

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

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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

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Xueyuan WANG, Jianping TANG, Xiaorui NIU, Shuyu WANG. An assessment of precipitation and surface air temperature over China by regional climate models. Front. Earth Sci., 2016, 10(4): 644‒661 https://doi.org/10.1007/s11707-015-0548-x

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

Acknowledgments

This work was supported by the National Basic Research Program of China (No. 2011CB952004), and the National Natural Science Foundation of China (Grant Nos. 41305006, 41375075, and 91425304). The numerical calculations in this paper have been done on the IBM Blade cluster system in the High Performance Computing Center (HPCC) of Nanjing University.

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2015 Higher Education Press and Springer-Verlag Berlin Heidelberg
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