Articles | Volume 21, issue 1
https://doi.org/10.5194/hess-21-197-2017
https://doi.org/10.5194/hess-21-197-2017
Research article
 | 
11 Jan 2017
Research article |  | 11 Jan 2017

Upscaling instantaneous to daily evapotranspiration using modelled daily shortwave radiation for remote sensing applications: an artificial neural network approach

Loise Wandera, Kaniska Mallick, Gerard Kiely, Olivier Roupsard, Matthias Peichl, and Vincenzo Magliulo

Related authors

Drivers and CO2 flux budgets in a Sahelian Faidherbia albida agro-silvo-pastoral parkland: Insights from continuous high-frequency soil chamber measurements and Eddy Covariance
Seydina Mohamad Ba, Olivier Roupsard, Lydie Chapuis-Lardy, Frédéric Bouvery, Yélognissè Agbohessou, Maxime Duthoit, Aleksander Wieckowski, Torbern Tagesson, Mohamed Habibou Assouma, Espoir Koudjo Gaglo, Claire Delon, Bienvenu Sambou, and Dominique Serça
EGUsphere, https://doi.org/10.5194/egusphere-2025-2660,https://doi.org/10.5194/egusphere-2025-2660, 2025
This preprint is open for discussion and under review for SOIL (SOIL).
Short summary
WetCH4: a machine-learning-based upscaling of methane fluxes of northern wetlands during 2016–2022
Qing Ying, Benjamin Poulter, Jennifer D. Watts, Kyle A. Arndt, Anna-Maria Virkkala, Lori Bruhwiler, Youmi Oh, Brendan M. Rogers, Susan M. Natali, Hilary Sullivan, Amanda Armstrong, Eric J. Ward, Luke D. Schiferl, Clayton D. Elder, Olli Peltola, Annett Bartsch, Ankur R. Desai, Eugénie Euskirchen, Mathias Göckede, Bernhard Lehner, Mats B. Nilsson, Matthias Peichl, Oliver Sonnentag, Eeva-Stiina Tuittila, Torsten Sachs, Aram Kalhori, Masahito Ueyama, and Zhen Zhang
Earth Syst. Sci. Data, 17, 2507–2534, https://doi.org/10.5194/essd-17-2507-2025,https://doi.org/10.5194/essd-17-2507-2025, 2025
Short summary
Sensitivity of a Sahelian groundwater-based agroforestry system to tree density and water availability using the land surface model ORCHIDEE (r7949)
Espoir Koudjo Gaglo, Emeline Chaste, Sebastiaan Luyssaert, Olivier Roupsard, Christophe Jourdan, Sidy Sow, Nadeige Vandewalle, Frédéric Do, Daouda Ngom, and Aude Valade
EGUsphere, https://doi.org/10.5194/egusphere-2025-1102,https://doi.org/10.5194/egusphere-2025-1102, 2025
This preprint is open for discussion and under review for Geoscientific Model Development (GMD).
Short summary
Impact of winter warming on CO2 fluxes in evergreen needleleaf forests
Mana Gharun, Ankit Shekhar, Lukas Hörtnagl, Luana Krebs, Nicola Arriga, Mirco Migliavacca, Marilyn Roland, Bert Gielen, Leonardo Montagnani, Enrico Tomelleri, Ladislav Šigut, Matthias Peichl, Peng Zhao, Marius Schmidt, Thomas Grünwald, Mika Korkiakoski, Annalea Lohila, and Nina Buchmann
Biogeosciences, 22, 1393–1411, https://doi.org/10.5194/bg-22-1393-2025,https://doi.org/10.5194/bg-22-1393-2025, 2025
Short summary
Modeling the impact of drainage on peatland CO2 and CH4 fluxes and its underlying drivers
Thu Hang Nguyen, Philippe Ciais, Liyang Liu, Yi Xi, Chunjing Qiu, Elodie Salmon, Aram Kalhori, Christophe Guimbaud, Matthias Peichl, Joshua L. Ratcliffe, Koffi Dodji Noumonvi, and Xuefei Li
EGUsphere, https://doi.org/10.5194/egusphere-2025-352,https://doi.org/10.5194/egusphere-2025-352, 2025
Short summary

Related subject area

Subject: Global hydrology | Techniques and Approaches: Modelling approaches
Toward routing river water in land surface models with recurrent neural networks
Mauricio Lima, Katherine Deck, Oliver R. A. Dunbar, and Tapio Schneider
Hydrol. Earth Syst. Sci., 29, 3145–3164, https://doi.org/10.5194/hess-29-3145-2025,https://doi.org/10.5194/hess-29-3145-2025, 2025
Short summary
Representation of a two-way coupled irrigation system in the Common Land Model
Shulei Zhang, Hongbin Liang, Fang Li, Xingjie Lu, and Yongjiu Dai
Hydrol. Earth Syst. Sci., 29, 3119–3143, https://doi.org/10.5194/hess-29-3119-2025,https://doi.org/10.5194/hess-29-3119-2025, 2025
Short summary
Benchmarking historical performance and future projections from a large-scale hydrologic model with a watershed hydrologic model
Rajesh R. Shrestha, Alex J. Cannon, Sydney Hoffman, Marie Whibley, and Aranildo Lima
Hydrol. Earth Syst. Sci., 29, 2881–2900, https://doi.org/10.5194/hess-29-2881-2025,https://doi.org/10.5194/hess-29-2881-2025, 2025
Short summary
Drought decreases annual streamflow response to precipitation, especially in arid regions
Alessia Matanó, Raed Hamed, Manuela I. Brunner, Marlies H. Barendrecht, and Anne F. Van Loon
Hydrol. Earth Syst. Sci., 29, 2749–2764, https://doi.org/10.5194/hess-29-2749-2025,https://doi.org/10.5194/hess-29-2749-2025, 2025
Short summary
Mapping groundwater-dependent ecosystems using a high-resolution global groundwater model
Nicole Gyakowah Otoo, Edwin H. Sutanudjaja, Michelle T. H. van Vliet, Aafke M. Schipper, and Marc F. P. Bierkens
Hydrol. Earth Syst. Sci., 29, 2153–2165, https://doi.org/10.5194/hess-29-2153-2025,https://doi.org/10.5194/hess-29-2153-2025, 2025
Short summary

Cited articles

Ahmad, A., Anderson, T. N., and Lie, T. T.: Hourly global solar irradiation forecasting for New Zealand, Sol. Energy, 122, 1398–1408, https://doi.org/10.1016/j.solener.2015.10.055, 2015.
Allen, R. G., Pereira, L. S., Raes, D., and Smith, M.: Crop evapotranspiration, Guidelines for computing crop water requirements, FAO Irrigation and drainage paper, Rome, Italy, 56, 326 pp., 1998.
Anderson, R. G., Lo, M.-H., Swenson, S., Famiglietti, J. S., Tang, Q., Skaggs, T. H., Lin, Y.-H., and Wu, R.-J.: Using satellite-based estimates of evapotranspiration and groundwater changes to determine anthropogenic water fluxes in land surface models, Geosci. Model Dev., 8, 3021–3031, https://doi.org/10.5194/gmd-8-3021-2015, 2015.
Baigorria, G. A., Villegas, E. B., Trebejo, I., Carlos, J. F., and Quiroz, R.: Atmospheric transmissivity: distribution and empirical estimation around the central Andes, Int. J. Climatol., 24, 1121–1136, https://doi.org/10.1002/joc.1060, 2004.
Download
Short summary
Upscaling instantaneous to daily evapotranspiration (ETi–ETd) is one of the central challenges in regional vegetation water-use mapping using polar orbiting satellites. Here we developed a robust ETi upscaling for global studies using the ratio between daily and instantaneous global radiation (RSd/RSi). Using data from 126 FLUXNET tower sites, this study demonstrated the RSd/RSi ratio to be the most robust factor explaining ETd/ETi variability across variable sky conditions and multiple biomes.
Share