气候变化领域集成服务门户(CCPortal): Retrieving Accurate Soil Moisture over the Tibetan Plateau Using Multisource Remote Sensing Data Assimilation with Simultaneous State and Parameter Estimations

CCPortal

DOI	10.1175/JHM-D-20-0298.1
	Retrieving Accurate Soil Moisture over the Tibetan Plateau Using Multisource Remote Sensing Data Assimilation with Simultaneous State and Parameter Estimations
	Chen, Weijing; Huang, Chunlin; Yang, Zong-Liang; Zhang, Ying
通讯作者	Chen, WJ (通讯作者)，Univ Texas Austin, Jackson Sch Geosci, Dept Geol Sci, Austin, TX 78712 USA.
发表日期	2021
ISSN	1525-755X
EISSN	1525-7541
起始页码	2751
结束页码	2766
卷号	22 期号:10
英文摘要	Data assimilation provides a practical way to improve the accuracy of soil moisture simulation by integrating a land surface model and satellite data. This study establishes a multisource remote sensing data assimilation framework by incorporating a simultaneous state and parameter estimation method to acquire an accurate estimation of the soil moisture over the Tibetan Plateau. The brightness temperature of the Advanced Microwave Scanning Radiometer 2 (AMSR2) is directly assimilated into the coupled system of the Common Land Model (CoLM) and a microwave radiative transfer model (RTM) to improve the soilmoisture simulation. The Moderate Resolution Imaging Spectroradiometer (MODIS) land surface temperature product and the Beijing Normal University (BNU) leaf area index product are employed to not only improve the estimation of temperature and vegetation variables from the CoLM, but they also provide more accurate background information for the RTM during the brightness temperature assimilation. In situ measurements from the Naqu network are used to evaluate the results. The model simulation showed an obvious underestimation of soil moisture and overestimation of soil temperature, which was alleviated by the assimilation experiments, particularly in the shallow soil layers. The estimated parameters also showed advantages in the soilmoisture simulation when compared with the default parameters. The assimilation experiment presents promising results in the combination of model and multisource remote sensing data for estimating soil moisture over the complex mountainous region in Tibet.
关键词	LAND DATA ASSIMILATION AMSR-E RADIOFREQUENCY INTERFERENCE BRIGHTNESS TEMPERATURE MICROWAVE EMISSION WATER STORAGE SMOS SATELLITE MODEL CALIBRATION
英文关键词	Soil moisture; Remote sensing; Data assimilation
语种	英语
WOS研究方向	Meteorology & Atmospheric Sciences
WOS类目	Meteorology & Atmospheric Sciences
WOS记录号	WOS:000757151800016
来源期刊	JOURNAL OF HYDROMETEOROLOGY
来源机构	中国科学院西北生态环境资源研究院
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/254836
作者单位	[Chen, Weijing; Yang, Zong-Liang] Univ Texas Austin, Jackson Sch Geosci, Dept Geol Sci, Austin, TX 78712 USA; [Huang, Chunlin; Zhang, Ying] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Remote Sensing Gansu Prov, Heihe Remote Sensing Expt Res Stn, Lanzhou 730000, Gansu, Peoples R China
推荐引用方式 GB/T 7714	Chen, Weijing,Huang, Chunlin,Yang, Zong-Liang,et al. Retrieving Accurate Soil Moisture over the Tibetan Plateau Using Multisource Remote Sensing Data Assimilation with Simultaneous State and Parameter Estimations[J]. 中国科学院西北生态环境资源研究院,2021,22(10).
APA	Chen, Weijing,Huang, Chunlin,Yang, Zong-Liang,&Zhang, Ying.(2021).Retrieving Accurate Soil Moisture over the Tibetan Plateau Using Multisource Remote Sensing Data Assimilation with Simultaneous State and Parameter Estimations.JOURNAL OF HYDROMETEOROLOGY,22(10).
MLA	Chen, Weijing,et al."Retrieving Accurate Soil Moisture over the Tibetan Plateau Using Multisource Remote Sensing Data Assimilation with Simultaneous State and Parameter Estimations".JOURNAL OF HYDROMETEOROLOGY 22.10(2021).