Evaluation of ET data products: Parameterizations, rate limiting process and influential surface properties

Radiometric measurements taken at a distance from evaporating bodies have been used for about 50 years to obtain a measure of water use. The basic physics of determining water use is the principle of energy conservation at the evaporating surface, but energy flux densities need to be parameterized using the variables which can be actually captured by radiometric measurements. Both observations of surface temperature and of soil water content are used for this purpose. Models of energy and water exchange vary from semi-empirical relationships between latent heat flux density and surface temperature to fully three-dimensional models of the soil-foliage-atmosphere system. Several ET satellite data products are available and evaluations against ground measurements have been published. Results suggest a dependence of accuracy on climate, soil and vegetation. The review of documented performance is combined with the sensitivity analysis of widely used ET algorithms, e.g. SEBI, SEBS, SEBAL and ET Monitor.

[1]  Maosheng Zhao,et al.  Development of a global evapotranspiration algorithm based on MODIS and global meteorology data , 2007 .

[2]  I. S. Bowen.  The Ratio of Heat Losses by Conduction and by Evaporation from any Water Surface , 1926 .

[3]  S. Idso,et al.  Canopy temperature as a crop water stress indicator , 1981 .

[4]  R. Jackson,et al.  Evaluating evapotranspiration at local and regional scales , 1985, Proceedings of the IEEE.

[5]  Bruno Monteny,et al.  Estimating sensible heat flux from radiometric temperature over sparse millet , 1994 .

[6]  J. C. Price,et al.  On the Use of Satellite Data to Infer Surface Fluxes at Meteorological Scales , 1982 .

[7]  Zhang Renhua,et al.  On the separate retrieval of soil and vegetation temperatures from ATSR data , 2001 .

[8]  S. Idso,et al.  An analysis of infrared temperature observations over wheat and calculation of latent heat flux , 1986 .

[9]  S. Verma,et al.  Resistance-energy Balance Method for Predicting Evapotranspiration: Determination of Boundary Layer Resistance and Evaluation of Error Effects 1 , 1976 .

[10]  Amélie Rajaud,et al.  A simple surface conductance model to estimate regional evaporation using MODIS leaf area index and the Penman‐Monteith equation , 2008 .

[11]  Z. Su.  The Surface Energy Balance System (SEBS) for estimation of turbulent heat fluxes , 2002 .

[12]  A. Hall,et al.  Agriculture in Semi-Arid Environments , 1979, Ecological Studies.

[13]  B. L. Blad,et al.  Evaluation of Resistance and Mass Transport Evapotranspiration Models Requiring Canopy Temperature Data 1 , 1976 .

[14]  Albert A. M. Holtslag,et al.  Flux Parameterization over Land Surfaces for Atmospheric Models , 1991 .

[15]  B. Choudhury,et al.  Parameterization of land surface evaporation by means of location dependent potential evaporation and surface temperature range , 2007 .

[16]  Li Jia,et al.  Monitoring of Evapotranspiration in a Semi-Arid Inland River Basin by Combining Microwave and Optical Remote Sensing Observations , 2015, Remote. Sens..

[17]  Massimo Menenti,et al.  Comparison of MOD16 and LSA-SAF MSG evapotranspiration products over Europe for 2011 , 2015 .

[18]  Maosheng Zhao,et al.  Improvements to a MODIS global terrestrial evapotranspiration algorithm , 2011 .

[19]  J. Norman,et al.  Source approach for estimating soil and vegetation energy fluxes in observations of directional radiometric surface temperature , 1995 .

[20]  Wout Verhoef,et al.  A practical algorithm to infer soil and foliage component temperatures from bi-angular ATSR-2 data , 2003 .

[21]  T. Holmes,et al.  Global land-surface evaporation estimated from satellite-based observations , 2010 .

[22]  Michael Rast,et al.  Estimation of soil and vegetation temperatures with multiangular thermal infrared observations: IMGRASS, HEIFE, and SGP 1997 experiments , 2001 .

[23]  Jerry L. Hatfield,et al.  Evaluation of canopy temperature—evapotranspiration models over various crops , 1984 .

[24]  Yann Kerr,et al.  Use of meteorological satellites for water balance monitoring in Sahelian regions , 1989 .

[25]  J. Monteith,et al.  Radiative surface temperature and energy balance of a wheat canopy , 1986 .