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A Soil Moisture Data Assimilation System for Pakistan Using PODEn4DVar and CLM4.5

文献类型：期刊论文

作者Mahmood, Tariq1,2,3; Xie, Zhenghui1,2; Jia, Binghao1; Habib, Ammara1,2; Mahmood, Rashid4
刊名JOURNAL OF METEOROLOGICAL RESEARCH
出版日期2019-12-01
卷号33期号:6页码:1182-1193
关键词PODEn4DVar Community Land Model version 4.5 data assimilation soil moisture Pakistan
ISSN号2095-6037
DOI10.1007/s13351-019-9020-2
通讯作者Xie, Zhenghui(zxie@lasg.iap.ac.cn)
英文摘要Soil moisture is an important state variable for land-atmosphere interactions. It is a vital land surface variable for research on hydrology, agriculture, climate, and drought monitoring. In current study, a soil moisture data assimilation framework has been developed by using the Community Land Model version 4.5 (CLM4.5) and the proper orthogonal decomposition (POD)-based ensemble four-dimensional variational assimilation (PODEn4DVar) algorithm. Assimilation experiments were conducted at four agricultural sites in Pakistan by assimilating in-situ soil moisture observations. The results showed that it was a reliable system. To quantify further the feasibility of the data assimilation (DA) system, soil moisture observations from the top four soil-depths (0-5, 5-10, 10-20, and 20-30 cm) were assimilated. The evaluation results indicated that the DA system improved soil moisture estimation. In addition, updating the soil moisture in the upper soil layers of CLM4.5 could improve soil moisture estimation in deeper soil layers [layer 7 (L7, 62.0 cm) and layer 8 (L8, 103.8 cm)]. To further evaluate the DA system, observing system simulation experiments (OSSEs) were designed for Pakistan by assimilating daily observations. These idealized experiments produced statistical results that had higher correlation coefficients, reduced root mean square errors, and lower biases for assimilation, which showed that the DA system is able to produce and improve soil moisture estimation in Pakistan.
WOS关键词WATER STORAGE ; DROUGHT ; MODEL ; TRENDS
资助项目National Key Basic Research and Development Program of China[2018YFC1506602] ; National Natural Science Foundation of China[41830967] ; Key Research Program of Frontier Sciences, Chinese Academy of Sciences[QYZDY-SSW-DQC012]
WOS研究方向Meteorology & Atmospheric Sciences
语种英语
WOS记录号WOS:000507495300013
出版者SPRINGER HEIDELBERG
资助机构National Key Basic Research and Development Program of China ; National Natural Science Foundation of China ; Key Research Program of Frontier Sciences, Chinese Academy of Sciences
源URL[http://ir.igsnrr.ac.cn/handle/311030/131496]  
专题中国科学院地理科学与资源研究所
通讯作者Xie, Zhenghui
作者单位1.Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Numer Modeling Atmospher Sci & Geop, Beijing 100029, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Pakistan Meteorol Dept, Islamabad 44000, Pakistan
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proces, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714		 Mahmood, Tariq,Xie, Zhenghui,Jia, Binghao,et al. A Soil Moisture Data Assimilation System for Pakistan Using PODEn4DVar and CLM4.5[J]. JOURNAL OF METEOROLOGICAL RESEARCH,2019,33(6):1182-1193.
APA Mahmood, Tariq,Xie, Zhenghui,Jia, Binghao,Habib, Ammara,&Mahmood, Rashid.(2019).A Soil Moisture Data Assimilation System for Pakistan Using PODEn4DVar and CLM4.5.JOURNAL OF METEOROLOGICAL RESEARCH,33(6),1182-1193.
MLA Mahmood, Tariq,et al."A Soil Moisture Data Assimilation System for Pakistan Using PODEn4DVar and CLM4.5".JOURNAL OF METEOROLOGICAL RESEARCH 33.6(2019):1182-1193.

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来源：地理科学与资源研究所

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