GSTDTAP  > 资源环境科学
DOI10.1002/2017WR021508
Hydrological Storage Length Scales Represented by Remote Sensing Estimates of Soil Moisture and Precipitation
Akbar, Ruzbeh1; Gianotti, Daniel Short1; McColl, Kaighin A.2; Haghighi, Erfan1; Salvucci, Guido D.3; Entekhabi, Dara1
2018-03-01
发表期刊WATER RESOURCES RESEARCH
ISSN0043-1397
EISSN1944-7973
出版年2018
卷号54期号:3页码:1476-1492
文章类型Article
语种英语
国家USA
英文摘要

The soil water content profile is often well correlated with the soil moisture state near the surface. They share mutual information such that analysis of surface-only soil moisture is, at times and in conjunction with precipitation information, reflective of deeper soil fluxes and dynamics. This study examines the characteristic length scale, or effective depth Delta z, of a simple active hydrological control volume. The volume is described only by precipitation inputs and soil water dynamics evident in surface-only soil moisture observations. To proceed, first an observation-based technique is presented to estimate the soil moisture loss function based on analysis of soil moisture dry-downs and its successive negative increments. Then, the length scale Delta z is obtained via an optimization process wherein the root-mean-squared (RMS) differences between surface soil moisture observations and its predictions based on water balance are minimized. The process is entirely observation-driven. The surface soil moisture estimates are obtained from the NASA Soil Moisture Active Passive (SMAP) mission and precipitation from the gauge-corrected Climate Prediction Center daily global precipitation product. The length scale Delta z exhibits a clear east-west gradient across the contiguous United States (CONUS), such that large Delta z depths (>200 mm) are estimated in wetter regions with larger mean precipitation. The median Delta z across CONUS is 135 mm. The spatial variance of Delta z is predominantly explained and influenced by precipitation characteristics. Soil properties, especially texture in the form of sand fraction, as well as the mean soil moisture state have a lesser influence on the length scale.


英文关键词soil moisture SMAP remote sensing Hydrology water balance
领域资源环境
收录类别SCI-E
WOS记录号WOS:000430364900004
WOS关键词VERTICAL MEASUREMENT DEPTH ; NEAR-SURFACE ; ROOT-ZONE ; INFORMATION-CONTENT ; L-BAND ; TEMPERATURE ; ASSIMILATION ; IMPACT ; RETRIEVALS ; PREDICTION
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/20397
专题资源环境科学
作者单位1.MIT, Dept Civil & Environm Engn, 77 Massachusetts Ave, Cambridge, MA 02139 USA;
2.Harvard Univ, Dept Earth & Planetary Sci, Cambridge, MA 02138 USA;
3.Boston Univ, Dept Earth & Environm, Boston, MA 02215 USA
推荐引用方式
GB/T 7714
Akbar, Ruzbeh,Gianotti, Daniel Short,McColl, Kaighin A.,et al. Hydrological Storage Length Scales Represented by Remote Sensing Estimates of Soil Moisture and Precipitation[J]. WATER RESOURCES RESEARCH,2018,54(3):1476-1492.
APA Akbar, Ruzbeh,Gianotti, Daniel Short,McColl, Kaighin A.,Haghighi, Erfan,Salvucci, Guido D.,&Entekhabi, Dara.(2018).Hydrological Storage Length Scales Represented by Remote Sensing Estimates of Soil Moisture and Precipitation.WATER RESOURCES RESEARCH,54(3),1476-1492.
MLA Akbar, Ruzbeh,et al."Hydrological Storage Length Scales Represented by Remote Sensing Estimates of Soil Moisture and Precipitation".WATER RESOURCES RESEARCH 54.3(2018):1476-1492.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Akbar, Ruzbeh]的文章
[Gianotti, Daniel Short]的文章
[McColl, Kaighin A.]的文章
百度学术
百度学术中相似的文章
[Akbar, Ruzbeh]的文章
[Gianotti, Daniel Short]的文章
[McColl, Kaighin A.]的文章
必应学术
必应学术中相似的文章
[Akbar, Ruzbeh]的文章
[Gianotti, Daniel Short]的文章
[McColl, Kaighin A.]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。