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DOI	10.1016/j.jhydrol.2021.126802
	More severe drought detected by the assimilation of brightness temperature and terrestrial water storage anomalies in Texas during 2010-2013
	Chen, Weijing; Huang, Chunlin; Yang, Zong-Liang
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	0022-1694
EISSN	1879-2707
卷号	603
英文摘要	Texas experienced an extreme drought on record in 2011. Model simulations or satellite observations have been used to assess and analyze the drought. In this study, a method based on multi-source remote sensing data assimilation is proposed to evaluate the drought in Texas, which combines the advantages of model simulations and satellite observations. Brightness temperature from the Soil Moisture and Ocean Salinity (SMOS), the Advanced Microwave Scanning Radiometer for EOS/Advanced Microwave Scanning Radiometer 2 (AMSR-E/AMSR2) and terrestrial water storage anomalies from the Gravity Recovery and Climate Experiment (GRACE) are assimilated into the Noah-Multiparameterization model (Noah-MP) to improve the soil moisture and drought estimation. The Ensemble Kalman Filter (EnKF) was used as a data assimilation method with observation aggregation (dealing with the multi-resolution observations) and observation bias correction (dealing with the systematic bias between observations and simulations). Data from ground stations and satellites are used for the validation of soil moisture, terrestrial water storage anomalies, and evapotranspiration. With assimilation, slight improvement can be found for surface soil moisture over the open-loop configuration, but some notable degradations are also observed. More obvious improvement can be found at deep layers, which is mainly due to the assimilation of terrestrial water storage anomalies. In addition, the improvement for terrestrial water storage anomalies and evapotranspiration is more statistically significant in most regions of Texas. Overall, the assimilation experiment plays a positive role in the estimation of essential variables relate to drought. The drought is estimated using the soil moisture percentile and classified into five categories. The results from the assimilation experiment tend to predict a more severe drought in Texas for both magnitude and spatial patterns, which indicates not only the well-known drought in 2011 but also the continuous severe drought in 2012 and 2013. Moreover, the spatial distribution of drought reveals that drought occurred more frequently in the North, West, and Southwest.
关键词	SOIL-MOISTURE ASSIMILATION AMSR-E RADIOFREQUENCY INTERFERENCE SMOS RETRIEVALS CALIBRATION MODEL SIMULATION CHALLENGES ENERGY
英文关键词	Drought; Soil moisture; Data assimilation; Passive microwave; GRACE; Noah-MP
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:000706313000009
来源期刊	JOURNAL OF HYDROLOGY
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/254166
作者单位	[Chen, Weijing; Yang, Zong-Liang] Univ Texas Austin, Jackson Sch Geosci, Dept Geol Sci, Austin, TX 78712 USA; [Huang, Chunlin] 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. More severe drought detected by the assimilation of brightness temperature and terrestrial water storage anomalies in Texas during 2010-2013[J]. 中国科学院西北生态环境资源研究院,2021,603.
APA	Chen, Weijing,Huang, Chunlin,&Yang, Zong-Liang.(2021).More severe drought detected by the assimilation of brightness temperature and terrestrial water storage anomalies in Texas during 2010-2013.JOURNAL OF HYDROLOGY,603.
MLA	Chen, Weijing,et al."More severe drought detected by the assimilation of brightness temperature and terrestrial water storage anomalies in Texas during 2010-2013".JOURNAL OF HYDROLOGY 603(2021).