Articles | Volume 26, issue 23
https://doi.org/10.5194/hess-26-6207-2022
https://doi.org/10.5194/hess-26-6207-2022
Research article
 | 
12 Dec 2022
Research article |  | 12 Dec 2022

Accuracy of five ground heat flux empirical simulation methods in the surface-energy-balance-based remote-sensing evapotranspiration models

Zhaofei Liu

Related authors

The accuracy of temporal upscaling of instantaneous evapotranspiration to daily values with seven upscaling methods
Zhaofei Liu
Hydrol. Earth Syst. Sci., 25, 4417–4433, https://doi.org/10.5194/hess-25-4417-2021,https://doi.org/10.5194/hess-25-4417-2021, 2021
Short summary

Related subject area

Subject: Global hydrology | Techniques and Approaches: Modelling approaches
Poor correlation between large-scale environmental flow violations and freshwater biodiversity: implications for water resource management and the freshwater planetary boundary
Chinchu Mohan, Tom Gleeson, James S. Famiglietti, Vili Virkki, Matti Kummu, Miina Porkka, Lan Wang-Erlandsson, Xander Huggins, Dieter Gerten, and Sonja C. Jähnig
Hydrol. Earth Syst. Sci., 26, 6247–6262, https://doi.org/10.5194/hess-26-6247-2022,https://doi.org/10.5194/hess-26-6247-2022, 2022
Short summary
Coupling a global glacier model to a global hydrological model prevents underestimation of glacier runoff
Pau Wiersma, Jerom Aerts, Harry Zekollari, Markus Hrachowitz, Niels Drost, Matthias Huss, Edwin H. Sutanudjaja, and Rolf Hut
Hydrol. Earth Syst. Sci., 26, 5971–5986, https://doi.org/10.5194/hess-26-5971-2022,https://doi.org/10.5194/hess-26-5971-2022, 2022
Short summary
Revisiting large-scale interception patterns constrained by a synthesis of global experimental data
Feng Zhong, Shanhu Jiang, Albert I. J. M. van Dijk, Liliang Ren, Jaap Schellekens, and Diego G. Miralles
Hydrol. Earth Syst. Sci., 26, 5647–5667, https://doi.org/10.5194/hess-26-5647-2022,https://doi.org/10.5194/hess-26-5647-2022, 2022
Short summary
Investigating coastal backwater effects and flooding in the coastal zone using a global river transport model on an unstructured mesh
Dongyu Feng, Zeli Tan, Darren Engwirda, Chang Liao, Donghui Xu, Gautam Bisht, Tian Zhou, Hong-Yi Li, and L. Ruby Leung
Hydrol. Earth Syst. Sci., 26, 5473–5491, https://doi.org/10.5194/hess-26-5473-2022,https://doi.org/10.5194/hess-26-5473-2022, 2022
Short summary
Using a long short-term memory (LSTM) neural network to boost river streamflow forecasts over the western United States
Kieran M. R. Hunt, Gwyneth R. Matthews, Florian Pappenberger, and Christel Prudhomme
Hydrol. Earth Syst. Sci., 26, 5449–5472, https://doi.org/10.5194/hess-26-5449-2022,https://doi.org/10.5194/hess-26-5449-2022, 2022
Short summary

Cited articles

Agam, N., Kustas, W. P., Alfieri, J. G., Gao, F., McKee, L. M., Prueger, J. H., and Hipps, L. E: Micro-scale spatial variability in soil heat flux (SHF) in a winegrape vineyard, Irrigation Sci., 37, 253–268, https://doi.org/10.1007/s00271-019-00634-6, 2019. 
Ait Hssaine, B., Merlin, O., Ezzahar, J., Ojha, N., Er-Raki, S., and Khabba, S: An evapotranspiration model self-calibrated from remotely sensed surface soil moisture, land surface temperature and vegetation cover fraction: application to disaggregated SMOS and MODIS data, Hydrol. Earth Syst. Sci., 24, 1781–1803, https://doi.org/10.5194/hess-24-1781-2020, 2020. 
Allen, R. G., Tasumi, M., and Trezza, R: Satellite-based energy balance for mapping evapotranspiration with internalized calibration (METRIC)-model, J. Irrig. Drain. E., 133, 380–394, https://doi.org/10.1061/(ASCE)0733-9437(2007)133:4(380), 2007. 
Allen, R. G., Irmak, A., Trezza, R., Hendrickx, J. M., Bastiaanssen, W., and Kjaersgaard, J: Satellite-based ET estimation in agriculture using SEBAL and METRIC, Hydrol. Process., 25, 4011–4027, https://doi.org/10.1002/hyp.8408, 2011. 
Anderson, M. C., Norman, J. M., Diak, G. R., Kustas, W. P., and Mecikalski, J. R: A two-source time-integrated model for estimating surface fluxes using thermal infrared remote sensing, Remote Sens. Environ., 60, 195–216, https://doi.org/10.1016/S0034-4257(96)00215-5, 1997. 
Download
Short summary
Ground heat flux (G) accounts for a significant fraction of the surface energy balance (SEB), but there is insufficient research on these models compared with other flux. The accuracy of G simulation methods in the SEB-based remote sensing evapotranspiration models is evaluated. Results show that the accuracy of each method varied significantly at different sites and at half-hour intervals. Further improvement of G simulations is recommended for the remote sensing evapotranspiration modelers.