Abstract
The simulations of a heat wave occurring in southern Yangtze-Huaihe valley and southern China during late July, 2003 were conducted to examine the sensitivity of simulated surface air temperature (SAT) to different land surface schemes (LSSs) using the Weather Research and Forecasting Model (WRF) Version 2.2 in the short-range mode for 24-h integrations. Initial and boundary conditions employed a National Centers for Environmental Prediction (NCEP) analysis. The results showed that, overall, simulated high-temperature weather is sensitive to different LSSs. Large differences in simulated SAT intensity, threat score, and simulated error under different schemes are identified clearly. In addition, some systematic differences are also induced by the LSSs. In terms of threat score from the three LSSs, SLAB is the best, and RUC is better than NOAH. SLAB gives the lowest absolute error for area-averaged SAT, and tends to depict the western Pacific subtropical high with the easternmost position at low levels. The LSSs modify the simulated SAT, primarily via the transfer of sensible heat from the land surface to the atmosphere. The physical mechanism of the positive feedback between atmospheric circulation and the SAT is unimportant, with “negative” feedback over most of the simulated areas. This study emphasizes the importance of improving LSSs in SAT forecasting by numerical models.
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Stott P A, Stone D A, Allen M R. Human contribution to the European heat wave of 2003. Nature, 2004, 432: 610–6
Robinson J P. On the definition of a heat wave. J Appl Meteor, 2001, 40: 762–775
Kalkstein S L, Jamason P F, Greene J S, et al. The Philadelphia hot weather-health watch/warning system: Development and application, summer 1995. Bull Amer Meteorol Soc, 1996, 77: 1519–1528
Zhang S Y, Song Y L, Zhang D K, et al. Climatic characteristics of summer high temperature and assessment methods in the large cities of North China. J Geogr Sci, 2006, 16: 13–22
Manabe S. Climate and ocean circulation. Part I: The atmospheric circulation and the hydrology of earth’s surface. Mon Weather Rev, 1969, 97: 740–774
Giorgi F, Marinucci M R. Validation of regional climate model over Europe: sensitivities of wintertime and summer time simulations to selected parameterizations and lower boundary conditions. Q J R Meteorol Soc, 1991, 117: 1171–1206
Zeng X M, Zhao M, Yu R C, et al. Application of a “big-tree” model to regional climate modeling: A sensitivity study. Theor Appl Climatol, 2003, 76: 203–218
Li Q, Sun S F. Development of the universal and simplified soil model coupling heat and water transport. Sci China Ser D-Earth Sci, 2008, 51: 88–102
Tian X J, Xie Z H. A land surface soil moisture data assimilation framework in consideration of the model subgrid-scale heterogeneity and soil water thawing and freezing. Sci China Ser D-Earth Sci, 2008, 51: 992–1000
Zhang Q, Hu X J, Wang S, et al. Some technological and scientific issues about the experimental study of land surface processes in Chinese Loess Plateau (LOPEX). Adv Earth Sci, 2009, 24: 363–372
Zeng X M, Liu J B, Ma Z G, et al. Study on the effects of land surface heterogeneities in temperature and moisture on annual scale regional climate simulation. Adv Atmos Sci, 2010, 27: 151–163
Pielke R A. Influence of the spatial distribution of vegetation and soils on the prediction of cumulus convective rainfall. Rev Geophys, 2001, 39: 151–177
Zeng X M, Zhao M, Su B K. A numerical study on effects of land-surface heterogeneity from ‘Combined Approach’ on atmospheric process. Part II: coupling-model simulations. Adv Atmos Sci, 2000, 17: 441–455
Zhang C L, Miao S G, Li Q C, et al. Impacts of fine-resolution land use information of Beijing on a summer severe rainfall simulation (in Chinese). Chin J Geophys, 2007, 50: 1373–1382
Trier S B, Chen F, Manning K W, et al. Sensitivity of the PBL and precipitation in 12-Day simulations of warm-season convection using different land surface models and soil wetness conditions. Mon Weather Rev, 2008, 136: 2321–2343
Zeng X M, Zhang Q. Numerical study of the effects of disturbances of land surface parameters on the simulation of a heavy rainfall over Northwest China (in Chinese). Sci Meteorol Sin, 2009, 29: 291–298
Brunetti M, Buffoni L, Mangianti F, et al. Temperature precipitation and extreme events during the last century in Italy. Glob Planet Change, 2004, 40: 141–149
Zhai P, Pan X. Trends in temperature extremes during 1951–1999 in China. Geophys Res Lett, 2003, 30: 1913, doi: 10.1029/2003GL018004
Gershunov A, Cayan D R, Iacobellis S F. The great 2006 heat wave over California and Nevada: Signal of an increasing trend. J Clim, 2009, 22: 6181–6203
Lin J, Bi B G, He J H. Physical mechanism responsible for western Pacific subtropical high variation and hot wave in Southern China in July 2003 (in Chinese). Chin J Atmos Sci, 2005, 29: 594–599
Yang H, Li C Y. Diagnostic study of serious high temperature over South China in 2003 summer (in Chinese). Clim Environ Res, 2005, 10: 81–85
Wolfson N, Atlas R, Sud Y. Numerical experiments related to the summer 1980 U.S. heat wave. Mon Weather Rev, 1987, 115: 1345–1357
Kharin V V, Zwiers F W, Zhang X, et al. Changes in temperature and precipitation extremes in the IPCC ensemble of global coupled model simulations. J Clim, 2007, 20: 1419–1444
Fischer M E, Seneviratne S I, Vidale P L, et al. Soil moisture-atmosphere interactions during the 2003 European summer heat wave. J Clim, 2007, 20: 5081–5099
McCollor D, Stull R. Evaluation of probabilistic medium-range temperature forecasts from the North American Ensemble Forecast System. Weather Forecast, 2009, 24: 3–17
Cheng W Y Y, Steenburgh W J. Evaluation of surface sensible weather forecasts by the WRF and the Eta models over the western United States. Weather Forecast, 2005, 20: 812–821
Wegiel J, LaCroix K, Rugg S, et al. Operational implementation of the Weather Research and Forecasting (WRF) system at the Air Force Weather Agency. 6th WRF Users’ Workshop. National Center for Atmospheric Research, Boulder, CO, June 27–30, 2005
Mölders N. Suitability of the Weather Research and Forecasting (WRF) model to predict the June 2005 fire weather for interior Alaska. Weather Forecast, 2008, 23: 953–973
Etherton B, Santos P. Sensitivity of WRF forecasts for South Florida to initial conditions. Weather Forecast, 2008, 23: 725–740
Jankov I, Gallus J W A, Segal M, et al. The impact of different WRF model physical parameterizations and their interactions on warm season MCS rainfall. Weather Forecast, 2005, 20: 1048–1060
Holt T R, Niyogi D, Chen F, et al. Effect of land-atmosphere interactions on the IHOP 24–25 May 2002 convection case. Mon Weather Rev, 2006, 134: 113–133
Ha H K, Wang Z H, Kim J Y, et al. The impact of cumulus parameterizations and micro-physics schemes of different combinations on typhoon track prediction (in Chinese). J Tropical Meteorol, 2009, 25: 435–441
Skamarock W C, Klemp J B, Dudhia J, et al. A description of the Advanced Research WRF Version 2. NCAR Technical Note NCAR/TN-468+STR. National Center for Atmospheric Research, 2005
Grell A G, Dudhia J, Stauffer D R. A description of the fifth generation Penn State/NCAR Mesoscale Model (MM5). NCAR Technical Note NCAR/TN-398+STR. National Center for Atmospheric Research, 1995
Ek M B, Mitchell K E, Lin Y, et al. Implementation of Noah land-surface model advances in the National Center Environment Prediction operational mesoscale Eta model. J Geophys Res, 2003, 108(D22): 8851, doi: 10.1029/2002JD003296
Wu G X, Liu Y M, Liu P. The effect of spatially nonuniform heating on the formation and variation of sub tropical high I: Scale analysis (in Chinese). Acta Meteorol Sin, 1999, 57: 257–263
Zhou T, Yu R, Zhang J, et al. Why the western Pacific subtropical high has extended westward since the late 1970s. J Clim, 2009, 22: 2199–2215
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Zeng, X., Wu, Z., Xiong, S. et al. Sensitivity of simulated short-range high-temperature weather to land surface schemes by WRF. Sci. China Earth Sci. 54, 581–590 (2011). https://doi.org/10.1007/s11430-011-4181-6
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DOI: https://doi.org/10.1007/s11430-011-4181-6