Evapotranspiration estimate from water balance closure using satellite data for the Upper Yangtze River basin

被引:11
作者
Corbari, C. [1 ]
Mancini, M. [1 ]
Su, Z. [2 ]
Li, J. [3 ]
机构
[1] Politecn Milan, I-20133 Milan, Italy
[2] Univ Twente, NL-7514 AE Enschede, Netherlands
[3] China Inst Water Resources & Hydropower Res, Beijing, Peoples R China
来源
HYDROLOGY RESEARCH | 2014年 / 45卷 / 4-5期
关键词
evapotranspiration; remote sensing; water balance; CLIMATE EXPERIMENT; GRAVITY RECOVERY; HETEROGENEOUS AREA; MODEL; GRACE; ALGORITHM; FLUXES; BUDGET; MODIS; MASS;
D O I
10.2166/nh.2013.016
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Application of hydrological models for water resources management at large continental river basins is often limited by the scarcity of in situ meteorological forcing data. Remote sensing information provides an alternative to in situ data, with observations that are, in some cases, at higher spatial and temporal resolutions than those available from traditional ground sources. In this work, the water balance equation is solved using precipitation retrieved from Tropical Rainfall Measuring Mission, water storage from Gravity Recovery and Climate Experiment satellite data and ground discharge. Evapotranspiration (ET) is then computed as a residual term of the water balance. Satellite data are compared with ground data to understand to what extent remote sensing observations can be used to improve estimates of the terrestrial water balance at regional scale. ET estimates are also compared with the ET computed from a detailed distributed energy water balance model and with the ET product from the Moderate Resolution Imaging Spectroradiometer Global Evapotranspiration Project. These analyses are performed for the Upper Yangtze River basin (China) in the framework of NRSCC-ESA DRAGON-2 Programme.
引用
收藏
页码:603 / 614
页数:12
相关论文
共 39 条
[1]  
Adler R., 2007, AMSR E AQUA L2B GLOB
[2]   A two-source time-integrated model for estimating surface fluxes using thermal infrared remote sensing [J].
Anderson, MC ;
Norman, JM ;
Diak, GR ;
Kustas, WP ;
Mecikalski, JR .
REMOTE SENSING OF ENVIRONMENT, 1997, 60 (02) :195-216
[3]  
[Anonymous], 1982, THESIS U CONNECTICUT
[4]  
Bastiaanssen WGM, 1998, J HYDROL, V212, P198, DOI [10.1016/S0022-1694(98)00253-4, 10.1016/S0022-1694(98)00254-6]
[5]   Contribution of the TOPEX NASA radar altimeter to the global monitoring of large rivers and wetlands [J].
Birkett, CM .
WATER RESOURCES RESEARCH, 1998, 34 (05) :1223-1239
[6]  
Cleugh HA, 2007, REMOTE SENS ENVIRON, V106, P285, DOI [10.1016/j.rse.2006.07.007, 10.1016/j.rse.2007.04.015]
[7]   Land surface temperature representativeness in a heterogeneous area through a distributed energy-water balance model and remote sensing data [J].
Corbari, C. ;
Sobrino, J. A. ;
Mancini, M. ;
Hidalgo, V. .
HYDROLOGY AND EARTH SYSTEM SCIENCES, 2010, 14 (10) :2141-2151
[8]   Elevation based correction of snow coverage retrieved from satellite images to improve model calibration [J].
Corbari, C. ;
Ravazzani, G. ;
Martinelli, J. ;
Mancini, M. .
HYDROLOGY AND EARTH SYSTEM SCIENCES, 2009, 13 (05) :639-649
[9]  
Corbari C., 2012, HYDROLOGICAL S UNPUB
[10]   Mass and energy flux estimates at different spatial resolutions in a heterogeneous area through a distributed energywater balance model and remote-sensing data [J].
Corbari, Chiara ;
Sobrino, Jose A. ;
Mancini, Marco ;
Hidalgo, Victoria .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2013, 34 (9-10) :3208-3230