Articles | Volume 380
https://doi.org/10.5194/piahs-380-17-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/piahs-380-17-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Evapotranspiration and evaporation/transpiration partitioning with dual source energy balance models in agricultural lands
CESBIO, Université de Toulouse, CNES/CNRS/IRD/UPS, Toulouse,
France
Emilie Delogu
CESBIO, Université de Toulouse, CNES/CNRS/IRD/UPS, Toulouse,
France
Sameh Saadi
CESBIO, Université de Toulouse, CNES/CNRS/IRD/UPS, Toulouse,
France
Université de Carthage/Institut National Agronomique de Tunisie,
Tunis, Tunisie
Wafa Chebbi
CESBIO, Université de Toulouse, CNES/CNRS/IRD/UPS, Toulouse,
France
Université de Carthage/Institut National Agronomique de Tunisie,
Tunis, Tunisie
Albert Olioso
EMMAH, INRA, Université d'Avignon et des Pays de Vaucluse,
Avignon, France
Bernard Mougenot
CESBIO, Université de Toulouse, CNES/CNRS/IRD/UPS, Toulouse,
France
Pascal Fanise
CESBIO, Université de Toulouse, CNES/CNRS/IRD/UPS, Toulouse,
France
Zohra Lili-Chabaane
Université de Carthage/Institut National Agronomique de Tunisie,
Tunis, Tunisie
Jean-Pierre Lagouarde
ISPA, INRA, Bordeaux Sciences Agro, Villenave d'Ornon, France
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The paper presents a new model (SPARSE) to estimate total evapotranspiration as well as its components (evaporation and transpiration) from remote-sensing data in the thermal infra-red domain. The limits of computing two unknowns (evaporation and transpiration) out of one piece of information (one surface temperature) are assessed theoretically. The model performance in retrieving the components as well as the water stress is assessed for two wheat crops (one irrigated and one rainfed).
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Our objective is to question the representation of the energy budget in surface–vegetation–atmosphere transfer models for the prediction of the convective fluxes in crops with complex structures (row) and under transient hydric regimes due to irrigation. The main result is that a coupled multiple energy balance approach is necessary to properly predict surface exchanges for these complex crops. It also points out the need for other similar studies on various crops with different sparsity levels.
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Publication in HESS not foreseen
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The purpose of our work is to estimate landscape evapotranspiration (ET) fluxes over agricultural areas by relying on two surface modeling approaches with increasing complexity and input data needs.
Both approaches, compared sequentially and over the entire crop cycle, showed quite similar performance except under developed vegetation and stressed conditions. This study helps lay the groundwork for exploring the complementarities between instantaneous and continuous ET mapping with TIR data.
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Revised manuscript not accepted
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This study presents an innovative method to assess irrigation volumes in the ISBA land surface model with high resolution optical remote sensing. We developed a new automated irrigation scheme which can adapt to a wide variety of crops and irrigation practices. Remotely sensed vegetation dynamics was used to drive its parameters. The simulation performed on several maize plots in south-western France shows an improvement on the simulated irrigation volumes and timing.
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The paper presents a new model (SPARSE) to estimate total evapotranspiration as well as its components (evaporation and transpiration) from remote-sensing data in the thermal infra-red domain. The limits of computing two unknowns (evaporation and transpiration) out of one piece of information (one surface temperature) are assessed theoretically. The model performance in retrieving the components as well as the water stress is assessed for two wheat crops (one irrigated and one rainfed).
J. Chirouze, G. Boulet, L. Jarlan, R. Fieuzal, J. C. Rodriguez, J. Ezzahar, S. Er-Raki, G. Bigeard, O. Merlin, J. Garatuza-Payan, C. Watts, and G. Chehbouni
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R. Amri, M. Zribi, Z. Lili-Chabaane, C. Szczypta, J. C. Calvet, and G. Boulet
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Short summary
Mapping of transpiration T and evaporation E is crucial for assessing plant water use and plant water status at landscape scale. Dual-source energy balance models forced by thermal infrared observations provide separate estimates of E and T but rely on specific assumptions to get both terms from the sole surface temperature. We show here with a synthetic experiment that additional information is thus required, e.g. surface water content that can be derived from radar.
Mapping of transpiration T and evaporation E is crucial for assessing plant water use and plant...