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Impact of Soil Moisture Uncertainty on Summertime Short-range Ensemble Forecasts 被引量:1
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作者 jiangshan zhu Fanyou KONG +3 位作者 Xiao-Ming HU Yan GUO Lingkun RAN Hengchi LEI 《Advances in Atmospheric Sciences》 SCIE CAS CSCD 2018年第7期839-852,共14页
To investigate the impact of soil moisture uncertainty on summertime short-range ensemble forecasts(SREFs), a fivemember SREF experiment with perturbed initial soil moisture(ISM) was performed over a northern Chin... To investigate the impact of soil moisture uncertainty on summertime short-range ensemble forecasts(SREFs), a fivemember SREF experiment with perturbed initial soil moisture(ISM) was performed over a northern China domain in summertime from July to August 2014. Five soil moisture analyses from three different operational/research centers were used as the ISM for the ensemble. The ISM perturbation produced notable ensemble spread in near-surface variables and atmospheric variables below 800 h Pa, and produced skillful ensemble-mean 24-h accumulated precipitation(APCP24) forecasts that outperformed any single ensemble member. Compared with a second SREF experiment with mixed microphysics parameterization options, the ISM-perturbed ensemble produced comparable ensemble spread in APCP24 forecasts, and had better Brier scores and resolution in probabilistic APCP24 forecasts for 10-mm, 25-mm and 50-mm thresholds. The ISM-perturbed ensemble produced obviously larger ensemble spread in near-surface variables. It was, however, still under-dispersed, indicating that perturbing ISM alone may not be adequate in representing all the uncertainty at the near-surface level, indicating further SREF studies are needed to better represent the uncertainties in land surface processes and their coupling with the atmosphere. 展开更多
关键词 ensemble forecast soil moisture perturbation probabilistic quantitative precipitation forecast
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Comparison of different land-surface perturbation methods in short-range ensemble forecasts
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作者 Zhibo Gao jiangshan zhu +4 位作者 Yan Guo Xiaodong Yan Xiujuan Wang Huoqing Li Shuwen Li 《Atmospheric and Oceanic Science Letters》 CSCD 2021年第3期60-65,共6页
In order to compare the sensitivity of short-range ensemble forecasts to different land-surface parameters in the South China region,three perturbation experiments related to the land surface model(LSM),initial soil m... In order to compare the sensitivity of short-range ensemble forecasts to different land-surface parameters in the South China region,three perturbation experiments related to the land surface model(LSM),initial soil moisture(ISM),and land–atmosphere coupling coefficient(LCC)were designed,and another control experiment driven by the Global Ensemble Forecast System(GEFS)was also performed.All ensemble members were initiated at 0000 UTC each day,and integrated for 24 h for a total of 40 days from the period 1 April to 10 May 2019 based on the Weather Research and Forecasting model.The results showed that the perturbation experiment of the LSM(LSMPE)had the largest ensemble spread,as well as the lowest ensemble-mean root-mean-square error among the three sets of land-surface perturbed experiments,which indicated that it could represent more uncertainty and less error.The ensemble spread of the perturbation experiment of the ISM(ISMPE)was generally less than that of LSMPE but greater than that of LCCPE(the perturbation experiment of the LCC).In particular,although the perturbation of the LCC could not produce greater spread,it had an effective influence on the intensity of precipitation.However,the ensemble spread of all the land-surface perturbed experiments was smaller than that of GEFSPE(the control experiment).Therefore,in future,land-surface perturbations and atmospheric perturbations should be combined in the design of ensemble forecasting systems to make the model represent more uncertainties. 展开更多
关键词 Short-range ensemble forecast Land-surface parameter South china region
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