R. D. Koster, P. A. Dirmeyer, Z. Guo, G. Bonan, E. Chan et al., Regions of Strong Coupling Between Soil Moisture and Precipitation, Science, vol.305, pp.1138-1140, 2004.

, Remote Sens, vol.12, p.380, 2020.

C. M. Taylor, A. Gounou, F. Guichard, P. P. Harris, R. J. Ellis et al., Frequency of Sahelian storm initiation enhanced over mesoscale soil-moisture patterns, Nat. Geosci, vol.4, pp.430-433, 2011.

N. Boulain, B. Cappelaere, D. Ramier, H. B. Issoufou, O. Halilou et al., Towards an understanding of coupled physical and biological processes in the cultivated Sahel-2. Vegetation and carbon dynamics, J. Hydrol, vol.375, pp.190-203, 2009.
URL : https://hal.archives-ouvertes.fr/bioemco-00392769

C. Velluet, J. Demarty, B. Cappelaere, I. Braud, H. B. Issoufou et al., Building a field-and model-based climatology of surface energy and water cycles for dominant land cover types in the cultivated Sahel. Annual budgets and seasonality, Hydrol. Earth Syst. Sci, vol.18, pp.5001-5024, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01141698

J. Mao, W. Fu, X. Shi, D. M. Ricciuto, J. B. Fisher et al., Disentangling climatic and anthropogenic controls on global terrestrial evapotranspiration trends, Environ. Res. Lett, vol.10, p.94008, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01805225

C. Leauthaud, B. Cappelaere, J. Demarty, F. Guichard, C. Velluet et al., A 60-year reconstructed high-resolution local meteorological data set in Central Sahel (1950-2009): Evaluation, analysis and application to land surface modelling, Int. J. Climatol, vol.37, pp.2699-2718, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01630365

C. Leauthaud, J. Demarty, B. Cappelaere, M. Grippa, L. Kergoat et al., Revisiting historical climatic signals to better explore the future: Prospects of water cycle changes in Central Sahel, Proc. Int. Assoc. Hydrol. Sci, vol.371, pp.195-201, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01828698

T. Lebel, B. Cappelaere, S. Galle, N. Hanan, L. Kergoat et al., AMMA-CATCH studies in the Sahelian region of West-Africa: An overview, J. Hydrol, vol.375, pp.3-13, 2009.
URL : https://hal.archives-ouvertes.fr/ird-00392544

T. Vischel, T. Lebel, S. Massuel, and B. Cappelaere, Conditional simulation schemes of rain fields and their application to rainfall-runoff modeling studies in the Sahel, J. Hydrol, vol.375, pp.273-286, 2009.
URL : https://hal.archives-ouvertes.fr/insu-00413397

G. P. Petropoulos, G. Ireland, S. Lamine, H. M. Griffiths, N. Ghilain et al., Operational evapotranspiration estimates from SEVIRI in support of sustainable water management, Int. J. Appl. Earth Obs. Geoinf, vol.49, pp.175-187, 2016.

J. D. Kalma, T. R. Mcvicar, and M. F. Mccabe, Estimating Land Surface Evaporation: A Review of Methods Using Remotely Sensed Surface Temperature Data, Surv. Geophys, vol.29, pp.421-469, 2008.

Y. Liou and S. K. Kar, Evapotranspiration Estimation with Remote Sensing and Various Surface Energy Balance Algorithms-A Review, vol.7, pp.2821-2849, 2014.

K. Wang and R. E. Dickinson, A review of global terrestrial evapotranspiration: Observation, modeling, climatology, and climatic variability, Rev. Geophys, vol.50, 2012.

K. Zhang, J. S. Kimball, and S. W. Running, A review of remote sensing based actual evapotranspiration estimation, Wiley Interdiscip. Rev. Water, vol.3, pp.834-853, 2016.

T. Carlson, An Overview of the "Triangle Method" for Estimating Surface Evapotranspiration and Soil Moisture from Satellite Imagery, Sensors, vol.7, pp.1612-1629, 2007.

L. Jiang and S. Islam, A methodology for estimation of surface evapotranspiration over large areas using remote sensing observations, Geophys. Res. Lett, vol.26, pp.2773-2776, 1999.

G. J. Roerink, Z. Su, M. Menenti, and . S-sebi, A simple remote sensing algorithm to estimate the surface energy balance, Phys. Chem. Earth Part B Hydrol. Oceans Atmos, vol.25, pp.147-157, 2000.

J. Chirouze, G. Boulet, L. Jarlan, R. Fieuzal, J. C. Rodriguez et al., Intercomparison of four remote-sensing-based energy balance methods to retrieve surface evapotranspiration and water stress of irrigated fields in semi-arid climate, Hydrol. Earth Syst. Sci, vol.18, pp.1165-1188, 2014.
URL : https://hal.archives-ouvertes.fr/ird-00968855

M. Galleguillos, F. Jacob, L. Prevot, P. Lagacherie, and S. Liang, Mapping Daily Evapotranspiration Over a Mediterranean Vineyard Watershed, IEEE Geosci. Remote Sens. Lett, vol.8, pp.168-172, 2011.
URL : https://hal.archives-ouvertes.fr/hal-02651688

M. Gómez, A. Olioso, J. A. Sobrino, and F. Jacob, Retrieval of evapotranspiration over the Alpilles/ReSeDA experimental site using airborne POLDER sensor and a thermal camera, Remote Sens. Environ, vol.96, pp.399-408, 2005.

C. Montes and F. Jacob, Comparing Landsat-7 ETM+ and ASTER Imageries to Estimate Daily Evapotranspiration Within a Mediterranean Vineyard Watershed, IEEE Geosci. Remote Sens. Lett, vol.14, pp.459-463, 2017.

, Remote Sens, vol.12, p.380, 2020.

J. A. Sobrino, M. Gómez, J. C. Jiménez-muñoz, and A. Olioso, Application of a simple algorithm to estimate daily evapotranspiration from NOAA-AVHRR images for the Iberian Peninsula, Remote Sens. Environ, vol.110, pp.139-148, 2007.
URL : https://hal.archives-ouvertes.fr/hal-02667113

W. W. Verstraeten, F. Veroustraete, and J. Feyen, Estimating evapotranspiration of European forests from NOAA-imagery at satellite overpass time: Towards an operational processing chain for integrated optical and thermal sensor data products, Remote Sens. Environ, vol.96, pp.256-276, 2005.

D. Long and V. P. Singh, Assessing the impact of end-member selection on the accuracy of satellite-based spatial variability models for actual evapotranspiration estimation, Water Resour. Res, vol.49, pp.2601-2618, 2013.

Q. Duan and T. J. Phillips, Bayesian estimation of local signal and noise in multimodel simulations of climate change, J. Geophys. Res. Atmos, vol.115, 2010.

R. Hagedorn, F. J. Doblas-reyes, and T. N. Palmer, The rationale behind the success of multi-model ensembles in seasonal forecasting-I. Basic concept, Tellus A, vol.57, pp.219-233, 2005.

J. Räisänen and T. N. Palmer, A Probability and Decision-Model Analysis of a Multimodel Ensemble of Climate Change Simulations, J. Clim, vol.14, pp.3212-3226, 2001.

P. Martre, D. Wallach, S. Asseng, F. Ewert, J. W. Jones et al., Multimodel ensembles of wheat growth: Many models are better than one, Glob. Chang. Biol, vol.21, pp.911-925, 2015.

R. P. Rötter, T. Palosuo, K. C. Kersebaum, C. Angulo, M. Bindi et al., Simulation of spring barley yield in different climatic zones of Northern and Central Europe: A comparison of nine crop models, Field Crops Res, vol.133, pp.23-36, 2012.

Z. Guo, P. A. Dirmeyer, X. Gao, and M. Zhao, Improving the quality of simulated soil moisture with a multi-model ensemble approach, Q. J. R. Meteorol. Soc, vol.133, pp.731-747, 2007.

Q. Duan, N. K. Ajami, X. Gao, and S. Sorooshian, Multi-model ensemble hydrologic prediction using Bayesian model averaging, Adv. Water Resour, vol.30, pp.1371-1386, 2007.

A. Ershadi, M. F. Mccabe, J. P. Evans, N. W. Chaney, and E. F. Wood, Multi-site evaluation of terrestrial evaporation models using FLUXNET data, Agric. For. Meteorol, vol.187, pp.46-61, 2014.

B. Mueller, M. Hirschi, C. Jimenez, P. Ciais, P. A. Dirmeyer et al., Benchmark products for land evapotranspiration: LandFlux-EVAL multi-data set synthesis, Hydrol. Earth Syst. Sci, 2013.
URL : https://hal.archives-ouvertes.fr/hal-02534833

B. Gallego-elvira, A. Olioso, M. Mira, S. R. Castillo, G. Boulet et al., EVapotranspiration Assessment from SPAce) Tool: An overview. Procedia Environ. Sci, vol.19, pp.303-310, 2013.

A. Olioso, B. Gallego-elvira, M. Bahir, A. G. Garcia, J. Hunink et al., Evaluation of EVASPA, a tool for mapping evapotranspiration from space, Proceedings of the International Symposium "Evapotranspiration: Challenges in Measurements and Modeling from a Leaf to Landscape Scale and Beyond, pp.7-10, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01336662

A. G. García, B. Gallego-elvira, A. N. Campos, C. M. Di-bella, A. Olioso et al., Evaluation of remote sensing based evapotranspiration products over three dominant Argentinean ecosystem types, Proceedings of the Final Conference of the COST Action ES0903 "EUROSPEC, pp.6-8, 2013.

A. Olioso, M. Bahir, B. Gallego-elvira, S. Garrigues, M. Mira et al., Monitoring evapotranspiration over the Crau Aquifer from remote sensing and flux tower data, Proceedings of the International Conference MISTRALS "Environment in the Mediterranean Statements and Prospects for Research and Society, pp.20-22, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01613632

M. Garcia, N. Fernández, L. Villagarcía, F. Domingo, J. Puigdefábregas et al., Accuracy of the Temperature-Vegetation Dryness Index using MODIS under water-limited vs. energy-limited evapotranspiration conditions, Remote Sens. Environ, vol.149, pp.100-117, 2014.

Y. Chen, W. Yuan, J. Xia, J. B. Fisher, W. Dong et al., Using Bayesian model averaging to estimate terrestrial evapotranspiration in China, J. Hydrol, vol.528, pp.537-549, 2015.

Y. Yao, S. Liang, X. Li, Y. Hong, J. B. Fisher et al., Bayesian multimodel estimation of global terrestrial latent heat flux from eddy covariance, meteorological, and satellite observations, J. Geophys. Res. Atmos, vol.119, pp.4521-4545, 2014.

, Remote Sens, vol.12, p.380, 2020.

G. Zhu, X. Li, K. Zhang, Z. Ding, T. Han et al., Multi-model ensemble prediction of terrestrial evapotranspiration across north China using Bayesian model averaging, Hydrol. Process, vol.30, pp.2861-2879, 2016.

L. Jiang and S. Islam, An intercomparison of regional latent heat flux estimation using remote sensing data, Int. J. Remote Sens, vol.24, pp.2221-2236, 2003.

M. Tasumi, R. Trezza, R. G. Allen, and J. L. Wright, Operational aspects of satellite-based energy balance models for irrigated crops in the semi-arid U, S. Irrig. Drain. Syst, vol.19, pp.355-376, 2005.

S. N. Williamson, D. S. Hik, J. A. Gamon, J. L. Kavanaugh, and S. Koh, Evaluating Cloud Contamination in Clear-Sky MODIS Terra Daytime Land Surface Temperatures Using Ground-Based Meteorology Station Observations, J. Clim, vol.26, pp.1551-1560, 2012.

I. Braud, A. C. Dantas-antonino, M. Vauclin, J. L. Thony, and P. Ruelle, A simple soil-plant-atmosphere transfer model (SiSPAT) development and field verification, J. Hydrol, vol.166, pp.213-250, 1995.

B. Martens, D. G. Miralles, H. Lievens, R. Van-der-schalie, R. A. De-jeu et al., GLEAM v3: Satellite-based land evaporation and root-zone soil moisture, Geosci. Model Dev, vol.10, pp.1903-1925, 2017.

D. G. Miralles, T. R. Holmes, R. A. De-jeu, J. H. Gash, A. G. Meesters et al., Global land-surface evaporation estimated from satellite-based observations, Hydrol. Earth Syst. Sci, vol.15, pp.453-469, 2011.

P. Trambauer, E. Dutra, S. Maskey, M. Werner, F. Pappenberger et al., Comparison of different evaporation estimates over the African continent, Hydrol. Earth Syst. Sci, vol.18, pp.193-212, 2014.

B. Cappelaere, L. Descroix, T. Lebel, N. Boulain, D. Ramier et al., Bouzou Moussa, I.; et al. The AMMA-CATCH experiment in the cultivated Sahelian area of south-west Niger-Investigating water cycle response to a fluctuating climate and changing environment, J. Hydrol, vol.375, pp.34-51, 2009.

T. Vischel, G. Quantin, T. Lebel, J. Viarre, M. Gosset et al., Generation of High-Resolution Rain Fields in West Africa: Evaluation of Dynamic Interpolation Methods, J. Hydrometeorol, vol.12, pp.1465-1482, 2011.

D. G. Miralles, J. H. Gash, T. R. Holmes, R. A. De-jeu, and A. J. Dolman, Global canopy interception from satellite observations, J. Geophys. Res. Atmos, vol.115, 2010.

D. Ramier, N. Boulain, B. Cappelaere, F. Timouk, M. Rabanit et al., Towards an understanding of coupled physical and biological processes in the cultivated Sahel-1. Energy and water, J. Hydrol, vol.375, pp.204-216, 2009.
URL : https://hal.archives-ouvertes.fr/insu-00413374

M. Mauder and T. Foken, Documentation and Instruction Manual of the Eddy Covariance Software Package TK2

. Abt and . Mikrometeorologie, Arbeitsergebnisse, 26, p.42, 2004.

F. Lohou, L. Kergoat, F. Guichard, A. Boone, B. Cappelaere et al., Surface response to rain events throughout the West African monsoon, Atmos. Chem. Phys, vol.14, pp.3883-3898, 2014.
URL : https://hal.archives-ouvertes.fr/hal-02267728

W. P. Kustas, C. S. Daughtry, and P. J. Van-oevelen, Analytical treatment of the relationships between soil heat flux/net radiation ratio and vegetation indices, Remote Sens. Environ, vol.46, pp.319-330, 1993.

W. G. Bastiaanssen, M. Menenti, R. A. Feddes, and A. A. Holtslag, A remote sensing surface energy balance algorithm for land (SEBAL). 1. Formulation, J. Hydrol, pp.212-213, 1998.

R. G. Allen, M. Tasumi, and R. Trezza, Satellite-Based Energy Balance for Mapping Evapotranspiration with Internalized Calibration (METRIC)-Model, J. Irrig. Drain. Eng, vol.133, pp.380-394, 2007.

N. Bhattarai, S. B. Shaw, L. J. Quackenbush, J. Im, and R. Niraula, Evaluating five remote sensing based single-source surface energy balance models for estimating daily evapotranspiration in a humid subtropical climate, Int. J. Appl. Earth Obs. Geoinf, vol.49, pp.75-86, 2016.

R. Crago and W. Brutsaert, Daytime evaporation and the self-preservation of the evaporative fraction and the Bowen ratio, J. Hydrol, vol.178, pp.241-255, 1996.

, Remote Sens, vol.12, p.380, 2020.

T. Wassenaar, A. Olioso, A. Hasager, F. Jacob, and A. Chehbouni, Estimation of evapotranspiration on heterogeneous pixels, Proc. First Int. Symp. Recent Adv. Quant. Remote Sens, p.20, 2002.

B. Chen, T. A. Black, N. C. Coops, T. Hilker, J. A. Trofymow et al., Assessing Tower Flux Footprint Climatology and Scaling Between Remotely Sensed and Eddy Covariance Measurements, Bound. Layer Meteorol, vol.130, pp.137-167, 2009.

F. Li, W. P. Kustas, M. C. Anderson, J. H. Prueger, and R. L. Scott, Effect of remote sensing spatial resolution on interpreting tower-based flux observations, Remote Sens. Environ, vol.112, pp.337-349, 2008.

G. Duveiller and P. Defourny, A conceptual framework to define the spatial resolution requirements for agricultural monitoring using remote sensing, Remote Sens. Environ, vol.114, pp.2637-2650, 2010.

M. Mira, M. Weiss, F. Baret, D. Courault, O. Hagolle et al., The MODIS (collection V006) BRDF/albedo product MCD43D: Temporal course evaluated over agricultural landscape, Remote Sens. Environ, vol.170, pp.216-228, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01212573

N. Boulain, B. Cappelaere, L. Séguis, G. Favreau, and J. Gignoux, Water balance and vegetation change in the Sahel: A case study at the watershed scale with an eco-hydrological model, J. Arid Environ, vol.73, pp.1125-1135, 2009.

S. Liu, Z. Xu, L. Song, Q. Zhao, Y. Ge et al., Upscaling evapotranspiration measurements from multi-site to the satellite pixel scale over heterogeneous land surfaces, Agric. For. Meteorol, pp.97-113, 2016.

G. Bisht and R. L. Bras, Estimation of Net Radiation from the Moderate Resolution Imaging Spectroradiometer Over the Continental United States, IEEE Trans. Geosci. Remote Sens, vol.49, pp.2448-2462, 2011.

J. Kim and T. S. Hogue, Evaluation of a MODIS-Based Potential Evapotranspiration Product at the Point Scale, J. Hydrometeorol, vol.9, pp.444-460, 2008.

R. Lacaze, S. Donier, P. Lacarrère, and J. Roujean, AVHRR-Derived Land Surface Conditions for Flux Simulations with a Mesoscale Model over the HAPEX-Sahel Study Area, J. Appl. Meteorol, vol.42, pp.686-700, 2003.

M. Mira, A. Olioso, B. Gallego-elvira, D. Courault, S. Garrigues et al., Uncertainty assessment of surface net radiation derived from Landsat images, Remote Sens. Environ, vol.175, pp.251-270, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01271245

O. Samain, L. Kergoat, P. Hiernaux, F. Guichard, E. Mougin et al., Analysis of the in situ and MODIS albedo variability at multiple timescales in the Sahel, J. Geophys. Res. Atmos, vol.113, 2008.

Z. Su, The Surface Energy Balance System (SEBS) for estimation of turbulent heat fluxes, Hydrol. Earth Syst. Sci, vol.6, pp.85-100, 2002.
URL : https://hal.archives-ouvertes.fr/hal-00304651

B. J. Choudhury, S. B. Idso, and R. J. Reginato, Analysis of an empirical model for soil heat flux under a growing wheat crop for estimating evaporation by an infrared-temperature based energy balance equation, Agric. For. Meteorol, vol.39, pp.283-297, 1987.

M. Tanguy, A. Baille, M. M. González-real, C. Lloyd, B. Cappelaere et al., A new parameterisation scheme of ground heat flux for land surface flux retrieval from remote sensing information, J. Hydrol, vol.2012, pp.113-122
URL : https://hal.archives-ouvertes.fr/hal-01887568

J. A. Santanello and M. A. Friedl, Diurnal Covariation in Soil Heat Flux and Net Radiation, J. Appl. Meteorol, vol.42, pp.851-862, 2003.

R. Eswar, M. Sekhar, and B. K. Bhattacharya, Comparison of three remote sensing based models for the estimation of latent heat flux over India, Hydrol. Sci. J, vol.62, pp.2705-2719, 2017.

E. Delogu, G. Boulet, A. Olioso, B. Coudert, J. Chirouze et al., Reconstruction of temporal variations of evapotranspiration using instantaneous estimates at the time of satellite overpass, Hydrol. Earth Syst. Sci, vol.16, pp.2995-3010, 2012.
URL : https://hal.archives-ouvertes.fr/ird-00725632

P. Gentine, D. Entekhabi, A. Chehbouni, G. Boulet, and B. Duchemin, Analysis of evaporative fraction diurnal behaviour, Agric. For. Meteorol, vol.143, pp.13-29, 2007.
URL : https://hal.archives-ouvertes.fr/ird-00389121

J. Hoedjes, A. Chehbouni, F. Jacob, J. Ezzahar, and G. Boulet, Deriving daily evapotranspiration from remotely sensed instantaneous evaporative fraction over olive orchard in semi-arid Morocco, J. Hydrol, vol.354, pp.53-64, 2008.
URL : https://hal.archives-ouvertes.fr/ird-00388433

, Remote Sens, vol.12, p.380, 2020.

A. De-tomás, H. Nieto, R. Guzinski, J. Salas, I. Sandholt et al., Validation and scale dependencies of the triangle method for the evaporative fraction estimation over heterogeneous areas, Remote Sens. Environ, vol.152, pp.493-511, 2014.

J. Tian, H. Su, X. Sun, S. Chen, H. He et al., Impact of the Spatial Domain Size on the Performance of the Ts-VI Triangle Method in Terrestrial Evapotranspiration Estimation. Remote Sens, vol.5, 1998.

S. Zahira, H. Abderrahmane, K. Mederbal, and D. Frederic, Mapping Latent Heat Flux in the Western Forest Covered Regions of Algeria Using Remote Sensing Data and a Spatialized Model, Remote Sens, vol.1, pp.795-817, 2009.

P. Wagle, N. Bhattarai, P. H. Gowda, and V. G. Kakani, Performance of five surface energy balance models for estimating daily evapotranspiration in high biomass sorghum, ISPRS J. Photogramm. Remote Sens, vol.128, pp.192-203, 2017.

R. Tang, Z. Li, and B. Tang, An application of the Ts-VI triangle method with enhanced edges determination for evapotranspiration estimation from MODIS data in arid and semi-arid regions: Implementation and validation, Remote Sens. Environ, vol.114, pp.540-551, 2010.

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