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DOI	10.1175/2010JHM1300.1
	Improving Predictions of Water and Heat Fluxes by Assimilating MODIS Land Surface Temperature Products into the Common Land Model
	Xu, Tongren; Liu, Shaomin; Liang, Shunlin; Qin, Jun
通讯作者	Liu, SM (通讯作者)
发表日期	2011
ISSN	1525-755X
EISSN	1525-7541
起始页码	227
结束页码	244
卷号	12 期号:2
英文摘要	Four data assimilation scheme combinations derived from two strategies and two optimization algorithms [the ensemble Kalman filter (EnKF) and the shuffled complex evolution method developed at The University of Arizona (SCE-UA)] are developed based on the Common Land Model (CLM) to improve predictions of water and heat fluxes. The first strategy is constructed through adjusting the soil temperature, while the second strategy adjusts the soil moisture. Moderate Resolution Imaging Spectroradiometer (MODIS) land surface temperature (LST) products are compared with ground-measured surface temperature, and assimilated into the CLM. The relationship equation between the MODIS LST products and CLM surface temperature is taken as the observation operator and the root-mean-square error (RMSE) is applied as the observation error. The assimilation results are validated by measurements from six observation sites located in Germany, the United States, and China. Results indicate that the developed data assimilation schemes can improve estimates of water and heat fluxes. Overall, strategy 2 is superior to strategy 1 when using the same optimization algorithm. The EnKF algorithm performs slightly better than the SCE-UA algorithm when using the same strategy. Strategy 2 combined with the EnKF algorithm performs best for water and heat fluxes, and the reductions in the RMSE are found to be 24.0 and 15.2 W m(-2) for sensible and latent heat fluxes, respectively. The joint assimilation of the MODIS LST and soil moisture observations can produce better results for strategy 2 with the SCE-UA. Since preprocessing model parameters are used in this study, the uncertainties in the model parameters may have resulted in suboptimal assimilation results. Therefore, model calibrations should be conducted in the future.
关键词	SEQUENTIAL DATA ASSIMILATION SOIL-MOISTURE ENERGY-BALANCE PROFILE VAPOR
语种	英语
WOS研究方向	Meteorology & Atmospheric Sciences
WOS类目	Meteorology & Atmospheric Sciences
WOS记录号	WOS:000289409700004
来源期刊	JOURNAL OF HYDROMETEOROLOGY
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/257912
推荐引用方式 GB/T 7714	Xu, Tongren,Liu, Shaomin,Liang, Shunlin,et al. Improving Predictions of Water and Heat Fluxes by Assimilating MODIS Land Surface Temperature Products into the Common Land Model[J]. 中国科学院青藏高原研究所,2011,12(2).
APA	Xu, Tongren,Liu, Shaomin,Liang, Shunlin,&Qin, Jun.(2011).Improving Predictions of Water and Heat Fluxes by Assimilating MODIS Land Surface Temperature Products into the Common Land Model.JOURNAL OF HYDROMETEOROLOGY,12(2).
MLA	Xu, Tongren,et al."Improving Predictions of Water and Heat Fluxes by Assimilating MODIS Land Surface Temperature Products into the Common Land Model".JOURNAL OF HYDROMETEOROLOGY 12.2(2011).