Arid
DOI10.3390/rs70506358
An Improvement of the Radiative Transfer Model Component of a Land Data Assimilation System and Its Validation on Different Land Characteristics
Lu, Hui1,2,3; Yang, Kun4; Koike, Toshio5; Zhao, Long6; Qin, Jun4
通讯作者Lu, Hui
来源期刊REMOTE SENSING
ISSN2072-4292
出版年2015
卷号7期号:5页码:6358-6379
英文摘要

The paper reports the recent progress in the radiative transfer model (RTM) development, which serves as the observation operator of a Land Data Assimilation System (LDAS), and its validation at two Planetary Boundary Layer (PBL) stations with different weather and land cover conditions: Wenjiang station of humid and cropped field and Gaize station of arid and bare soil field. In situ observed micrometeorological data were used as the driven data of LDAS, in which AMSR-E brightness temperatures (TB) were assimilated into a land surface model (LSM). Near surface soil moisture content output from LDAS, together with the one simulated by a LSM with default parameters, were compared to the in-situ soil moisture observation. The comparison results successfully validated the capability of LDAS with new RTM to simulate near surface soil moisture at various environments, supporting that LDAS can generally simulate soil moisture with a reasonable accuracy for both humid vegetated fields and arid bare soil fields while the LSM overestimates near surface soil moisture for humid vegetated fields and underestimates soil moisture for arid bare soil fields.


类型Article
语种英语
国家Peoples R China ; Japan ; USA
收录类别SCI-E
WOS记录号WOS:000357596900027
WOS关键词SURFACE SOIL-MOISTURE ; PROCESS RADIOBRIGHTNESS MODEL ; MICROWAVE DIELECTRIC BEHAVIOR ; GENERAL-CIRCULATION MODELS ; AMSR-E ; COUPLED HEAT ; BRIGHTNESS TEMPERATURES ; PARAMETERIZATION SIB2 ; ATMOSPHERIC GCMS ; TIBETAN PLATEAU
WOS类目Remote Sensing
WOS研究方向Remote Sensing
来源机构中国科学院青藏高原研究所 ; 清华大学
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/190158
作者单位1.Tsinghua Univ, Minist Educ, Key Lab Earth Syst Modeling, Beijing 100084, Peoples R China;
2.Tsinghua Univ, Ctr Earth Syst Sci, Beijing 100084, Peoples R China;
3.Joint Ctr Global Change Studies, Beijing 100875, Peoples R China;
4.Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Tibetan Environm Changes & Land Surface P, Beijing 100101, Peoples R China;
5.Univ Tokyo, Dept Civil Engn, Tokyo 1138656, Japan;
6.Univ Texas Austin, John A & Katherine G Jackson Sch Geosci, Dept Geol Sci, Austin, TX 78712 USA
推荐引用方式
GB/T 7714
Lu, Hui,Yang, Kun,Koike, Toshio,et al. An Improvement of the Radiative Transfer Model Component of a Land Data Assimilation System and Its Validation on Different Land Characteristics[J]. 中国科学院青藏高原研究所, 清华大学,2015,7(5):6358-6379.
APA Lu, Hui,Yang, Kun,Koike, Toshio,Zhao, Long,&Qin, Jun.(2015).An Improvement of the Radiative Transfer Model Component of a Land Data Assimilation System and Its Validation on Different Land Characteristics.REMOTE SENSING,7(5),6358-6379.
MLA Lu, Hui,et al."An Improvement of the Radiative Transfer Model Component of a Land Data Assimilation System and Its Validation on Different Land Characteristics".REMOTE SENSING 7.5(2015):6358-6379.
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