气候变化领域集成服务门户(CCPortal): Land surface model calibration through microwave data assimilation for improving soil moisture simulations

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DOI	10.1016/j.jhydrol.2015.12.018
	Land surface model calibration through microwave data assimilation for improving soil moisture simulations
	Yang, Kun; Zhu, La; Chen, Yingying; Zhao, Long; Qin, Jun; Lu, Hui; Tang, Wenjun; Han, Menglei; Ding, Baohong; Fang, Nan
通讯作者	Yang, K (通讯作者)
发表日期	2016
ISSN	0022-1694
EISSN	1879-2707
起始页码	266
结束页码	276
卷号	533
英文摘要	Soil moisture is a key variable in climate system, and its accurate simulation needs effective soil parameter values. Conventional approaches may obtain soil parameter values at point scale, but they are costly and not efficient at grid scale (10-100 km) of current climate models. This study explores the possibility to estimate soil parameter values by assimilating AMSR-E (Advanced Microwave Scanning Radiometer for Earth Observing System) brightness temperature (TB) data. In the assimilation system, the TB is simulated by the coupled system of a land surface model (LSM) and a radiative transfer model (RTM), and the simulation errors highly depend on parameters in both the LSM and the RTM. Thus, sensitive soil parameters may be inversely estimated through minimizing the TB errors. A crucial step for the parameter estimation is made to suppress the contamination of uncertainties in atmospheric forcing data. The effectiveness of the estimated parameter values is evaluated against intensive measurements of soil parameters and soil moisture in three grasslands of the Tibetan Plateau and the Mongolian Plateau. The results indicate that this satellite data-based approach can improve the data quality of soil porosity, a key parameter for soil moisture modeling, and LSM simulations with the estimated parameter values reasonably reproduce the measured soil moisture. This demonstrates it is feasible to calibrate LSMs for soil moisture simulations at grid scale by assimilating microwave satellite data, although more efforts are expected to improve the robustness of the model calibration. (C) 2015 Elsevier B.V. All rights reserved.
关键词	TIBETAN PLATEAU PARAMETER-ESTIMATION SATELLITE TEMPERATURE SYSTEM VALIDATION EMISSION PRODUCTS IMPACTS NETWORK
英文关键词	Model calibration; Data assimilation; Microwave satellite; Soil parameter
语种	英语
WOS研究方向	Engineering ; Geology ; Water Resources
WOS类目	Engineering, Civil ; Geosciences, Multidisciplinary ; Water Resources
WOS记录号	WOS:000370086200022
来源期刊	JOURNAL OF HYDROLOGY
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/258802
推荐引用方式 GB/T 7714	Yang, Kun,Zhu, La,Chen, Yingying,et al. Land surface model calibration through microwave data assimilation for improving soil moisture simulations[J]. 中国科学院青藏高原研究所,2016,533.
APA	Yang, Kun.,Zhu, La.,Chen, Yingying.,Zhao, Long.,Qin, Jun.,...&Fang, Nan.(2016).Land surface model calibration through microwave data assimilation for improving soil moisture simulations.JOURNAL OF HYDROLOGY,533.
MLA	Yang, Kun,et al."Land surface model calibration through microwave data assimilation for improving soil moisture simulations".JOURNAL OF HYDROLOGY 533(2016).