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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
为了比较不同陆面扰动方法对短时集合预报的影响,本研究设计了陆面模式扰动实验(LSMPE),初始土壤湿度扰动实验(ISMPE),陆面-大气耦合系数扰动实验(LCCPE)以及大气扰动对照实验(GEFSPE).结果表明,在三组陆面扰动实验中,LSMPE能代表最大... 为了比较不同陆面扰动方法对短时集合预报的影响,本研究设计了陆面模式扰动实验(LSMPE),初始土壤湿度扰动实验(ISMPE),陆面-大气耦合系数扰动实验(LCCPE)以及大气扰动对照实验(GEFSPE).结果表明,在三组陆面扰动实验中,LSMPE能代表最大的不确定性且误差最小;ISMPE的离散度要比LCCPE稍大,但是耦合系数的减弱能有效降低区域平均降水量.然而,所有陆面扰动实验产生的离散度均小于GEFSPE,这表明未来有必要将陆面扰动与大气扰动相结合,以使得模式能代表更多的不确定性. 展开更多
关键词 短时集合预报 陆面参数 华南地区
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