干旱区生态环境知识资源中心(Arid): Improved ET assimilation through incorporating SMAP soil moisture observations using a coupled process model: A study of US arid and semiarid regions

Arid

DOI	10.1016/j.jhydrol.2020.125402
	Improved ET assimilation through incorporating SMAP soil moisture observations using a coupled process model: A study of US arid and semiarid regions
	Li, Sinan; Zhang, Li; Ma, Rui; Yan, Min; Tian, Xiangjun
通讯作者	Zhang, L (corresponding author), Chinese Acad Sci, Aerosp Informat Res Inst, Key Lab Digital Earth Sci, 9 Dengzhuang South Rd, Beijing 100094, Peoples R China.
来源期刊	JOURNAL OF HYDROLOGY
ISSN	0022-1694
EISSN	1879-2707
出版年	2020
卷号	590
英文摘要	An accurate estimation of evapotranspiration (ET) is essential for characterizing the water budget in arid and semiarid ecosystems. Although various soil moisture data have been used to improve the hydrological process modeling, only a few studies improved ET estimation at a global scale by utilizing satellite soil moisture active passive SMAP data, particularly targeting arid and semiarid areas. To address this issue, this paper proposes a process-based assimilation scheme (LPJ-SMA) to simulate daily ET at 0.25 degrees spatial resolution for the water limited areas. First, an integrated model (LPJ-PM) is constructed by the updated Priestley-Taylor Jet Propulsion Laboratory model (PT-JPL(SM)) and the Lund-Potsdam-Jena Dynamic Global Vegetation Model (LPJ-DGVM). As the PT-JPL(SM) model establishes a connection between soil moisture (SM) and ET, the SMAP data could be integrated into LPJ-PM. Second, with the estimated ETPM (3-day interval) in LPJ-PM as observations, the original ETLPJ (daily) estimated by LPJ-DGVM could be well constrained in a water-limited area through data assimilation. The results showed that: (1) the ETPM with SMAP information performed better and had a higher accuracy than ETLPJ. (2) After assimilating ETPM into LPJ-DGVM, the assimilated-ET (ETDA) showed a superior performance (R = 0.75, RMSD = 0.72 mm/d) to ETLPJ (R = 0.55, RMSD = 1.02 mm/d) and ETPM (R = 0.70, RMSD = 0.93 mm/d) when evaluated against in situ observations at a 95% significance level. Our proposed assimilation system (LPJ-SMA) was applied to arid and semiarid regions in the United States, and the results illustrate that the spatial distribution and annual value of the LPJ-SMA ET was very similar to NLDAS-2 ET products, which have a higher precision over North America than other global `reference' products. The proposed LPJ-SMA system can be used to optimize model simulation performance and effectively improve ET prediction accuracy. This method can be used as an alternative to estimate global ET, especially in water-limited regions.
英文关键词	Evapotranspiration Soil Moisture Active Passive (SMAP) Data assimilation Priestley-Taylor Jet Propulsion Laboratory Model (PT-JPL(SM)) Lund-Potsdam-Jena Dynamic Global Vegetation Model (LPJ-DGVM) Arid region
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000599754500129
WOS关键词	LATENT-HEAT FLUX ; WACMOS-ET PROJECT ; LEAF-AREA INDEX ; EDDY-COVARIANCE ; CARBON-DIOXIDE ; ATMOSPHERIC CO2 ; WATER-BALANCE ; TIME-SERIES ; EVAPOTRANSPIRATION ; EVAPORATION
WOS类目	Engineering, Civil ; Geosciences, Multidisciplinary ; Water Resources
WOS研究方向	Engineering ; Geology ; Water Resources
来源机构	中国科学院大气物理研究所
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/349006
作者单位	[Li, Sinan; Zhang, Li; Yan, Min] Chinese Acad Sci, Aerosp Informat Res Inst, Key Lab Digital Earth Sci, 9 Dengzhuang South Rd, Beijing 100094, Peoples R China; [Li, Sinan] Univ Chinese Acad Sci, Coll Resources & Environm, 19A Yuquan Rd, Beijing 100049, Peoples R China; [Zhang, Li] Key Lab Earth Observat Hainan Prov, Sanya 572029, Peoples R China; [Ma, Rui] Wuhan Univ, Sch Remote Sensing & Informat Engn, Wuhan 430079, Peoples R China; [Tian, Xiangjun] Chinese Acad Sci, Int Ctr Climate & Environm Sci ICCES, Inst Atmospher Phys, Beijing 100029, Peoples R China
推荐引用方式 GB/T 7714	Li, Sinan,Zhang, Li,Ma, Rui,et al. Improved ET assimilation through incorporating SMAP soil moisture observations using a coupled process model: A study of US arid and semiarid regions[J]. 中国科学院大气物理研究所,2020,590.
APA	Li, Sinan,Zhang, Li,Ma, Rui,Yan, Min,&Tian, Xiangjun.(2020).Improved ET assimilation through incorporating SMAP soil moisture observations using a coupled process model: A study of US arid and semiarid regions.JOURNAL OF HYDROLOGY,590.
MLA	Li, Sinan,et al."Improved ET assimilation through incorporating SMAP soil moisture observations using a coupled process model: A study of US arid and semiarid regions".JOURNAL OF HYDROLOGY 590(2020).