徐同仁等:Estimating Turbulent Heat Fluxes With a Weak-Constraint Data Assimilation Scheme: A Case Study (HiWATER-MUSOEXE)
被阅读 1380 次
2014-10-20

Estimating Turbulent Heat Fluxes With a Weak-Constraint Data Assimilation Scheme: A Case Study (HiWATER-MUSOEXE)
作者:Xu, TR (Xu, Tongren)[ 1,2 ] ; Bateni, M (Bateni, Mohyddin)[ 3,4 ] ; Liang, SL (Liang, Shunlin)[ 5,6,7 ]
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
卷: 12  期: 1  页: 68-72
DOI: 10.1109/LGRS.2014.2326180
出版年: JAN 2015

摘要
A weak-constraint variational data assimilation (WC-VDA) scheme was developed to estimate turbulent heat fluxes by assimilating sequences of land surface temperature measurements. In contrast to the commonly used strong-constraint VDA system, the WC-VDA approach accounts for the effects of structural and model errors and generates better results. This is achieved by adding a model error term (omega) to the surface energy balance equation. The WC-VDA model was tested at two sites with very distinct hydrological and vegetated conditions: the Daman site (a wet site located in an oasis area and covered by seeded corn) and the Huazhaizi site (a dry site located in a desert area and covered by sparse grass). The two sites represent typical desert-oasis landscapes in the middle reaches of the Heihe River Basin, northwestern China. The results proved that the WC-VDA method performed well over very dry and wet conditions, and the estimated sensible and latent heat fluxes agree well with eddy covariance measurements.
通讯作者地址: Xu, TR (通讯作者)
Beijing Normal Univ, State Key Lab Remote Sensing Sci, Ctr Remote Sensing & GIS, Beijing 100875, Peoples R China.
地址:
[ 1 ] Beijing Normal Univ, State Key Lab Remote Sensing Sci, Ctr Remote Sensing & GIS, Beijing 100875, Peoples R China
[ 2 ] Beijing Normal Univ, Sch Geog, Beijing 100875, Peoples R China
[ 3 ] Univ Hawaii Manoa, Dept Civil & Environm Engn, Honolulu, HI 96822 USA
[ 4 ] Univ Hawaii Manoa, Water Resources Res Ctr, Honolulu, HI 96822 USA
[ 5 ] Beijing Normal Univ, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
[ 6 ] Beijing Normal Univ, Coll Global Change & Earth Syst Sci, Beijing 100875, Peoples R China
[ 7 ] Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA