WRF模式在天山地区模拟能力的敏感性评估

doi:10.13866/j.azr.2019.01.22

Abstract

Abstract: In this study,a sensitivity analysis of the weather research and forecasting model (WRF) to different physical options in the Tianshan Mountains was carried out to seek the best performance combination.Yearly simulations at seasonal scale from 28th November,2014 to 1st December,2015 were carried out.The station observations and GPM (Global Precipitation Measurement) satellite precipitation data (R≥0.6) were used to validate the simulated daily extreme temperatures and precipitation.This work showed that temperature was modeled by WRF well,the simulated results of daily maximum temperature (T2max,0.8<R<0.95) were better than that of daily minimum temperature (T2min,0.62<R<0.88),and T2min was sensitive to land surface model and cloud-microphysical model.The simulated results of precipitation by WRF were not so ideal with low correlation coefficients about 0.6 (R≈0.6),and they were different from different schemes.The cloud-microphysical scheme WSM 6-class could be used to simulate precipitation well.Kain-Fristch cumulus/convective scheme could not be used to describe the strong convection and complex terrain in the Tianshan Mountains as we got the very large T2min biases and negative values of precipitation in summer.The best performance combination was WSM 6-class (Cloud-microphysics),Betts-Miller-Janjic (Cumulus/Convective scheme),Mellor-Yamada-Janjic scheme/Monin-Obukhov (Janjic Eta) scheme (Planetary boundary layer/Surface layer scheme),NOAH (Land surface model),and Community Atmosphere Model (Longwave and shortwave radiation).

Key words: WRF, climate simulation, physical parameterisation, sensitive evaluation, Tianshan Mountains, Central Asia

CHEN Shu-ying, HU Qi, ZHANG Chi, CHEN Xi, QIU Yuan, DU Hao-yang, WEI Cai-xia. Evaluation on the Sensitivity of WRF Model in the Tianshan Mountains[J].Arid Zone Research, 2019, 36(1): 193-203.

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Evaluation on the Sensitivity of WRF Model in the Tianshan Mountains

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