干旱区生态环境知识资源中心(Arid): Partitioning of Historical Precipitation Into Evaporation and Runoff Based on Hydrologic Dynamics Identified With Recent SMAP Satellite Measurements

Arid

DOI	10.1029/2020WR027307
	Partitioning of Historical Precipitation Into Evaporation and Runoff Based on Hydrologic Dynamics Identified With Recent SMAP Satellite Measurements
	Akbar, Ruzbeh; Short Gianotti, Daniel J.; Salvucci, Guido D.; Entekhabi, Dara
通讯作者	Akbar, R (corresponding author), MIT, Dept Civil & Environm Engn, 77 Massachusetts Ave, Cambridge, MA 02139 USA.
来源期刊	WATER RESOURCES RESEARCH
ISSN	0043-1397
EISSN	1944-7973
出版年	2020
卷号	56 期号:12
英文摘要	Microwave brightness temperature observations from the NASA Soil Moisture Active Passive (SMAP) mission and gauge-based precipitation data over the United States are used to reconstruct the soil water loss function and then historical (1979-2019) hydrological fluxes in the form of evapotranspiration (ET) and drainage (D) are quantified. Over the period of study, with the exception of snowy and hyper-arid regions, we observe a correlation of R-2 > 0.6 between SMAP-precipitation derived drainage estimates and streamflow measurements from the U.S. Geological Survey (USGS). There is a bias between estimated drainage and USGS streamflow with an underestimation of about 1 mm day(-1) in southwest United States to 3 mm day(-1) in parts of the eastern United States. SMAP-derived sensitivities of drainage and ET partitioning with respect to precipitation anomalies are also calculated. In parts of the Great Plains the drainage partitioning exhibits a near-linear response, while in the southeast United States, the response is nonlinear. Partitioning also is examined for 6 four-digit hydrologic unit basins wherein year-to-year variations in drainage partitioning are shown to be key mediators in translating precipitation anomalies into streamflow anomalies. Observation-driven drainage and ET estimates are obtained without relying on full hydrologic and Land Surface Models (LSMs). This independence (isolation from model parameterization assumptions) provides a path toward using satellite-derived landscape hydrological diagnostics to assess hydrologic models and LSMs as well as to guide their further development.
英文关键词	hydrology remote sensing SMAP evapotranspiration drainage hydroclimate
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000603660400034
WOS关键词	VERTICAL MEASUREMENT DEPTH ; SOIL-MOISTURE ; INFORMATION-CONTENT ; L-BAND ; WATER ; ASSIMILATION ; CLIMATE ; IMPROVE ; BALANCE ; IMPACT
WOS类目	Environmental Sciences ; Limnology ; Water Resources
WOS研究方向	Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/349226
作者单位	[Akbar, Ruzbeh; Short Gianotti, Daniel J.; Entekhabi, Dara] MIT, Dept Civil & Environm Engn, 77 Massachusetts Ave, Cambridge, MA 02139 USA; [Salvucci, Guido D.] Boston Univ, Dept Earth & Environm, Boston, MA 02215 USA
推荐引用方式 GB/T 7714	Akbar, Ruzbeh,Short Gianotti, Daniel J.,Salvucci, Guido D.,et al. Partitioning of Historical Precipitation Into Evaporation and Runoff Based on Hydrologic Dynamics Identified With Recent SMAP Satellite Measurements[J],2020,56(12).
APA	Akbar, Ruzbeh,Short Gianotti, Daniel J.,Salvucci, Guido D.,&Entekhabi, Dara.(2020).Partitioning of Historical Precipitation Into Evaporation and Runoff Based on Hydrologic Dynamics Identified With Recent SMAP Satellite Measurements.WATER RESOURCES RESEARCH,56(12).
MLA	Akbar, Ruzbeh,et al."Partitioning of Historical Precipitation Into Evaporation and Runoff Based on Hydrologic Dynamics Identified With Recent SMAP Satellite Measurements".WATER RESOURCES RESEARCH 56.12(2020).