Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2017JD027023 |
Modulation of Soil Initial State on WRF Model Performance Over China | |
Xue, Haile1; Jin, Qinjian2; Yi, Bingqi3,4; Mullendore, Gretchen L.5; Zheng, Xiaohui6; Jin, Hongchun7 | |
2017-11-16 | |
发表期刊 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES |
ISSN | 2169-897X |
EISSN | 2169-8996 |
出版年 | 2017 |
卷号 | 122期号:21 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China; USA |
英文摘要 | The soil state (e.g., temperature and moisture) in a mesoscale numerical prediction model is typically initialized by reanalysis or analysis data that may be subject to large bias. Such bias may lead to unrealistic land-atmosphere interactions. This study shows that the Climate Forecast System Reanalysis (CFSR) dramatically underestimates soil temperature and overestimates soil moisture over most parts of China in the first (0-10cm) and second (10-25cm) soil layers compared to in situ observations in July 2013. A correction based on the global optimal dual kriging is employed to correct CFSR bias in soil temperature and moisture using in situ observations. To investigate the impacts of the corrected soil state on model forecasts, two numerical model simulations-a control run with CFSR soil state and a disturbed run with the corrected soil state-were conducted using the Weather Research and Forecasting model. All the simulations are initiated 4 times per day and run 48h. Model results show that the corrected soil state, for example, warmer and drier surface over the most parts of China, can enhance evaporation over wet regions, which changes the overlying atmospheric temperature and moisture. The changes of the lifting condensation level, level of free convection, and water transport due to corrected soil state favor precipitation over wet regions, while prohibiting precipitation over dry regions. Moreover, diagnoses indicate that the remote moisture flux convergence plays a dominant role in the precipitation changes over the wet regions. |
英文关键词 | soil temperature soil moisture bias correction kriging method East Asian precipitation |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000417195500003 |
WOS关键词 | HIGH-TEMPERATURE ; MOISTURE ; PRECIPITATION ; WEATHER ; CLIMATE ; PARAMETERIZATION ; INTERPOLATION ; SIMULATIONS ; SENSITIVITY ; PREDICTION |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/32500 |
专题 | 气候变化 |
作者单位 | 1.Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing, Peoples R China; 2.MIT, Ctr Global Change Sci, Boston, MA USA; 3.Sun Yat Sen Univ, Sch Atmospher Sci, Guangzhou, Guangdong, Peoples R China; 4.Sun Yat Sen Univ, Guangdong Prov Key Lab Climate Change & Nat Disas, Guangzhou, Guangdong, Peoples R China; 5.Univ North Dakota, Dept Atmospher Sci, Grand Forks, ND 58201 USA; 6.Beijing Normal Univ, Coll Global Change & Earth Syst Sci, Beijing 100875, Peoples R China; 7.Lanzhou Univ, Coll Atmospher Sci, Lanzhou, Gansu, Peoples R China |
推荐引用方式 GB/T 7714 | Xue, Haile,Jin, Qinjian,Yi, Bingqi,et al. Modulation of Soil Initial State on WRF Model Performance Over China[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2017,122(21). |
APA | Xue, Haile,Jin, Qinjian,Yi, Bingqi,Mullendore, Gretchen L.,Zheng, Xiaohui,&Jin, Hongchun.(2017).Modulation of Soil Initial State on WRF Model Performance Over China.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,122(21). |
MLA | Xue, Haile,et al."Modulation of Soil Initial State on WRF Model Performance Over China".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 122.21(2017). |
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