Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2018WR024580 |
Estimation of Surface Turbulent Fluxes From Land Surface Moisture and Temperature Via a Variational Data Assimilation Framework | |
Abdolghafoorian, Abedeh1,2; Farhadi, Leila1,2 | |
2019-06-01 | |
发表期刊 | WATER RESOURCES RESEARCH |
ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2019 |
卷号 | 55期号:6页码:4648-4667 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | Accurate estimation of surface turbulent heat fluxes is important in numerous hydrological, meteorological, and agricultural applications. Recently, several studies have focused on estimating these fluxes via assimilation of land surface temperature (LST) observations into a surface energy balance model following the variational data assimilation (VDA) scheme. However, current VDAs suffer from the following issues: (1) they do not consider the inherent coupling between water and energy in the soil-plant-atmosphere continuum, (2) they tend to be ill-posed, and (3) they do not explicitly compute the uncertainty of estimates. The goal of this study is to enhance the current VDAs in two major ways: (i) coupling water and energy balance equations, assimilating soil moisture (SM) data in addition to LST, and constraining the VDA estimates by the moisture diffusion equation in addition to the heat diffusion equation; and (ii) analyzing the second-order information that guides toward a well-posed estimation problem and provides uncertainty of parameters. The performance of the proposed VDA is examined through a set of experiments based on a synthetic data set. The results show that simultaneous assimilation of SM and LST improves the estimation of heat fluxes and reduces the sensitivity of VDA to the initial guess of parameters. Furthermore, by adding moisture diffusion equation as an additional constraint, the correlation between the estimated parameters is reduced and the VDA scheme is oriented toward well posedness. The feasibility of extending the proposed VDA in estimating large-scale turbulent fluxes using spaceborne SM and LST data is examined, and promising results are obtained. |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000477616900009 |
WOS关键词 | HEAT-TRANSFER COEFFICIENT ; SMAP SOIL-MOISTURE ; SENSIBLE HEAT ; EVAPORATIVE FRACTION ; EDDY-COVARIANCE ; TRIANGLE METHOD ; ENERGY FLUXES ; WATER CONTENT ; INFILTRATION ; PARAMETERS |
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/183963 |
专题 | 资源环境科学 |
作者单位 | 1.George Washington Univ, Dept Civil & Environm Engn, Washington, DC USA; 2.George Washington Univ, Dept Civil & Environm Engn, Washington, DC 20052 USA |
推荐引用方式 GB/T 7714 | Abdolghafoorian, Abedeh,Farhadi, Leila. Estimation of Surface Turbulent Fluxes From Land Surface Moisture and Temperature Via a Variational Data Assimilation Framework[J]. WATER RESOURCES RESEARCH,2019,55(6):4648-4667. |
APA | Abdolghafoorian, Abedeh,&Farhadi, Leila.(2019).Estimation of Surface Turbulent Fluxes From Land Surface Moisture and Temperature Via a Variational Data Assimilation Framework.WATER RESOURCES RESEARCH,55(6),4648-4667. |
MLA | Abdolghafoorian, Abedeh,et al."Estimation of Surface Turbulent Fluxes From Land Surface Moisture and Temperature Via a Variational Data Assimilation Framework".WATER RESOURCES RESEARCH 55.6(2019):4648-4667. |
条目包含的文件 | 条目无相关文件。 |
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。
修改评论