Articles | Volume 19, issue 23
https://doi.org/10.5194/bg-19-5521-2022
https://doi.org/10.5194/bg-19-5521-2022
Research article
 | 
08 Dec 2022
Research article |  | 08 Dec 2022

A coupled ground heat flux–surface energy balance model of evaporation using thermal remote sensing observations

Bimal K. Bhattacharya, Kaniska Mallick, Devansh Desai, Ganapati S. Bhat, Ross Morrison, Jamie R. Clevery, William Woodgate, Jason Beringer, Kerry Cawse-Nicholson, Siyan Ma, Joseph Verfaillie, and Dennis Baldocchi

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Cited articles

Anderson, M., Norman, J., Mecikalski, J., Torn, R., Kustas, W., and Basara, J.: A Multiscale Remote Sensing Model for Disaggregating Regional Fluxes to Micrometeorological Scales, J. Hydrometeorol., 5, 343–363, https://doi.org/10.1175/1525-7541(2004)005<0343:AMRSMF>2.0.CO;2, 2004. 
Anderson, M., Norman, J., Kustas, W., Li, F., Prueger, J., and Mecikalski, J.: Effects of Vegetation Clumping on Two–Source Model Estimates of Surface Energy Fluxes from an Agricultural Landscape during SMACEX, J. Hydrometeorol., 6, 892–909, https://doi.org/10.1175/JHM465.1, 2005. 
Anderson, M., Norman, J., Mecikalski, J., Otkin, J., and Kustas, W.: A climatological study of evapotranspiration and moisture stress across the continental United States based on thermal remote sensing: 1. Model formulation, J. Geophys. Res.-Atmos., 112, D10117, https://doi.org/10.1029/2006JD007506, 2007. 
Anderson, M., Kustas, W., Alfieri, J., Gao, F., Hain, C., Prueger, J., Evett, S., Colaizzi, P., Howell, T., and Chávez, J.: Mapping daily evapotranspiration at Landsat spatial scales during the BEAREX'08 field campaign, Adv. Water Resour., 50, 162–177, https://doi.org/10.1016/j.advwatres.2012.06.005, 2012. 
Bai, Y., Zhang, S., Bhattarai, N., Mallick, K., Liu, Q., Tang, L., Im, J., Guo, L., and Zhang, J.: On the use of machine learning based ensemble approaches to improve evapotranspiration estimates from croplands across a wide environmental gradient, Agr. Forest Meteorol., 298–299, 108308, https://doi.org/10.1016/j.agrformet.2020.108308, 2021. 
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Short summary
Evaporation retrieval in heterogeneous ecosystems is challenging due to empirical estimation of ground heat flux and complex parameterizations of conductances. We developed a parameter-sparse coupled ground heat flux-evaporation model and tested it across different limits of water stress and vegetation fraction in the Northern/Southern Hemisphere. The model performed particularly well in the savannas and showed good potential for evaporative stress monitoring from thermal infrared satellites.
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