Impact of Soil Moisture Uncertainty on Summertime Short-range Ensemble Forecasts

被引:0
|
作者
Jiangshan ZHU [1 ]
Fanyou KONG [2 ]
Xiao-Ming HU [2 ]
Yan GUO [3 ]
Lingkun RAN [1 ]
Hengchi LEI [1 ]
机构
[1] Institute of Atmospheric Physics, Chinese Academy of Sciences
[2] Center for Analysis and Prediction of Storms, University of Oklahoma
[3] State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University
基金
中国国家自然科学基金;
关键词
ensemble forecast; soil moisture perturbation; probabilistic quantitative precipitation forecast;
D O I
暂无
中图分类号
S152.7 [土壤水分];
学科分类号
0903 ; 090301 ;
摘要
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.
引用
收藏
页码:839 / 852
页数:14
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