Estimation of large-scale evaporation fields based on assimilation of remotely sensed land temperature

被引:49
作者
Sini, F. [1 ]
Boni, G. [2 ]
Caparrini, F. [4 ]
Entekhabi, D. [3 ]
机构
[1] Reg Marche, Ctr Funz Meteorol Idrol & Sismolo, Sistema Protez Civile & Sicurezza Locale, I-60029 Ancona, Italy
[2] CIMA Res Fdn, I-17100 Savona, Italy
[3] MIT, Dept Civil & Environm Engn, Cambridge, MA 02139 USA
[4] Eumechanos, I-50121 Florence, Italy
关键词
D O I
10.1029/2006WR005574
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Many Earth system science and environmental applications require knowledge of mapped evaporation. Satellite remote sensing can indirectly provide these measurements with a spatial coverage that is logistically and economically impossible to obtain through ground-based observation networks. Here a model for surface energy fluxes estimation based on the assimilation of land surface temperature from satellite is presented. The data assimilation scheme provides a useful framework that allows us to combine measurements and models to produce an optimal and dynamically consistent estimate of the evolving state of the system. The assimilation scheme can take advantage of the synergy of multisensor-multiplatform observations in order to obtain estimations of surface fluxes, flux partitioning, and surface characteristics. The model is based on the surface energy balance and bulk transfer formulation. A simplified soil wetness model, which is a filter of antecedent precipitation, is introduced in order to develop a more robust estimation scheme. This approach is implemented and tested over the Southern Great Plain field experiment domain. Comparisons with observed surface energy fluxes and soil moisture maps have shown that this assimilation system can estimate, when compared with the ground truth observations, the surface energy balance and its partitioning among turbulent heat fluxes. The introduction of the simplified soil wetness model forced by precipitation data improved evaporative fraction estimation. Further research is still required to analyze the reliability of retrieved fluxes in periods where radiation is the limiting factor for latent heat flux.
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页数:15
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共 45 条
  • [1] A two-source time-integrated model for estimating surface fluxes using thermal infrared remote sensing
    Anderson, MC
    Norman, JM
    Diak, GR
    Kustas, WP
    Mecikalski, JR
    [J]. REMOTE SENSING OF ENVIRONMENT, 1997, 60 (02) : 195 - 216
  • [2] [Anonymous], J HYDRAUL DIV P AM S
  • [3] Linear relationships between root-zone soil moisture and atmospheric processes in the planetary boundary layer
    Basara, JB
    Crawford, KC
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2002, 107 (D15): : ACL10 - 1
  • [4] Bastiaanssen WGM, 1998, J HYDROL, V212, P213, DOI [10.1016/S0022-1694(98)00254-6, 10.1016/S0022-1694(98)00253-4]
  • [5] Bennett AF, 1992, INVERSE METHODS PHYS
  • [6] Sampling strategies and assimilation of ground temperature for the estimation of surface energy balance components
    Boni, G
    Castelli, F
    Entekhabi, D
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2001, 39 (01): : 165 - 172
  • [7] Land data assimilation with satellite measurements for the estimation of surface energy balance components and surface control on evaporation
    Boni, G
    Entekhabi, D
    Castelli, F
    [J]. WATER RESOURCES RESEARCH, 2001, 37 (06) : 1713 - 1722
  • [8] Variational estimation of soil and vegetation turbulent transfer and heat flux parameters from sequences of multisensor imagery
    Caparrini, F
    Castelli, F
    Entekhabi, D
    [J]. WATER RESOURCES RESEARCH, 2004, 40 (12) : 1 - 15
  • [9] Caparrini F, 2004, J HYDROMETEOROL, V5, P145, DOI 10.1175/1525-7541(2004)005<0145:EOSTFT>2.0.CO
  • [10] 2