Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2019WR025332 |
Landscape Water Storage and Subsurface Correlation From Satellite Surface Soil Moisture and Precipitation Observations | |
Gianotti, Daniel J. Short1; Salvucci, Guido D.2; Akbar, Ruzbeh1; McColl, Kaighin A.3,4; Cuenca, Richard5; Entekhabi, Dara1 | |
2019-11-16 | |
发表期刊 | WATER RESOURCES RESEARCH |
ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2019 |
文章类型 | Article;Early Access |
语种 | 英语 |
国家 | USA |
英文摘要 | Surface soil moisture measurements are typically correlated to some degree with changes in subsurface soil moisture. We calculate a hydrologic length scale, lambda, which represents (1) the mean-state estimator of total column water changes from surface observations, (2) an e-folding length scale for subsurface soil moisture profile covariance fall-off, and (3) the best second-moment mass-conserving surface layer thickness for a simple bucket model, defined by the data streams of satellite soil moisture and precipitation retrievals. Calculations are simple, based on three variables: the autocorrelation and variance of surface soil moisture and the variance of the net flux into the column (precipitation minus estimated losses), which can be estimated directly from the soil moisture and precipitation time series. We develop a method to calculate the lag-one autocorrelation for irregularly observed time series and show global surface soil moisture autocorrelation. lambda is driven in part by local hydroclimate conditions and is generally larger than the 50-mm nominal radiometric length scale for the soil moisture retrievals, suggesting broad subsurface correlation due to moisture drainage. In all but the most arid regions, radiometric soil moisture retrievals provide more information about ecosystem-relevant water fluxes than satellite radiometers can explicitly "see"; lower-frequency radiometers are expected to provide still more statistical information about subsurface water dynamics. |
英文关键词 | coupling GPM microwave SMAP soil moisture subsurface correlation length |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000496650200001 |
WOS关键词 | VERTICAL MEASUREMENT DEPTH ; NEAR-SURFACE ; SEQUENTIAL ASSIMILATION ; INFORMATION-CONTENT ; TEMPERATURE ; EVAPOTRANSPIRATION ; PROFILE ; IMPACT ; HEAT ; SENSITIVITY |
WOS类目 | Environmental Sciences ; Limnology ; Water Resources |
WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/223901 |
专题 | 资源环境科学 |
作者单位 | 1.MIT, Parsons Lab, 77 Massachusetts Ave, Cambridge, MA 02139 USA; 2.Boston Univ, Dept Earth & Environm, Boston, MA 02215 USA; 3.Harvard Univ, Dept Earth & Planetary Sci, 20 Oxford St, Cambridge, MA 02138 USA; 4.Harvard Univ, John A Paulson Sch Engn & Appl Sci, Cambridge, MA 02138 USA; 5.Oregon State Univ, Dept Biol & Ecol Engn, Corvallis, OR 97331 USA |
推荐引用方式 GB/T 7714 | Gianotti, Daniel J. Short,Salvucci, Guido D.,Akbar, Ruzbeh,et al. Landscape Water Storage and Subsurface Correlation From Satellite Surface Soil Moisture and Precipitation Observations[J]. WATER RESOURCES RESEARCH,2019. |
APA | Gianotti, Daniel J. Short,Salvucci, Guido D.,Akbar, Ruzbeh,McColl, Kaighin A.,Cuenca, Richard,&Entekhabi, Dara.(2019).Landscape Water Storage and Subsurface Correlation From Satellite Surface Soil Moisture and Precipitation Observations.WATER RESOURCES RESEARCH. |
MLA | Gianotti, Daniel J. Short,et al."Landscape Water Storage and Subsurface Correlation From Satellite Surface Soil Moisture and Precipitation Observations".WATER RESOURCES RESEARCH (2019). |
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