globalchange  > 气候变化与战略
DOI: 10.5194/hess-23-5033-2019
论文题名:
Ability of a soil-vegetation-atmosphere transfer model and a two-source energy balance model to predict evapotranspiration for several crops and climate conditions
作者: Bigeard G.; Coudert B.; Chirouze J.; Er-Raki S.; Boulet G.; Ceschia E.; Jarlan L.
刊名: Hydrology and Earth System Sciences
ISSN: 1027-5606
出版年: 2019
卷: 23, 期:12
起始页码: 5033
结束页码: 5058
语种: 英语
Scopus关键词: Budget control ; Calibration ; Crops ; Economic and social effects ; Ecosystems ; Energy balance ; Evapotranspiration ; Forestry ; Heat flux ; Latent heat ; Sensitivity analysis ; Soil moisture ; Vegetation ; Acceptable performance ; Agricultural landscapes ; Meteorological forcing ; Multi-objective calibration ; Sensible and latent heat fluxes ; Sensitivity studies ; Soil-vegetation-atmosphere transfer models ; Two-source energy balance model ; Climate models ; agricultural ecosystem ; air-soil interaction ; climate conditions ; data assimilation ; energy balance ; heterogeneity ; latent heat flux ; soil water ; soil-vegetation interaction ; France ; Morocco
英文摘要: The heterogeneity of Agroecosystems, in terms of hydric conditions, crop types and states, and meteorological forcing, is difficult to characterize precisely at the field scale over an agricultural landscape. This study aims to perform a sensitivity study with respect to the uncertain model inputs of two classical approaches used to map the evapotranspiration of agroecosystems: (1) a surface energy balance (SEB) model, the Two-Source Energy Balance (TSEB) model, forced with thermal infrared (TIR) data as a proxy for the crop hydric conditions, and (2) a soil-vegetation-atmosphere transfer (SVAT) model, the SEtHyS model, where hydric conditions are computed from a soil water budget. To this end, the models skill was compared using a large and unique in situ database covering different crops and climate conditions, which was acquired over three experimental sites in southern France and Morocco. On average, the models provide 30 min estimations of latent heat flux (LE) with a RMSE of around 55Wm-2 for TSEB and 47Wm-2 for SEtHyS, and estimations of sensible heat flux (H) with a RMSE of around 29Wm-2 for TSEB and 38Wm-2 for SEtHyS. A sensitivity analysis based on realistic errors aimed to estimate the potential decrease in performance induced by the spatialization process. For the SVAT model, the multi-objective calibration iterative procedure (MCIP) is used to determine and test different sets of parameters. TSEB is run with only one set of parameters and provides acceptable performance for all crop stages apart from the early growing season (LAI<0.2m2 m-2) and when hydric stress occurs. An in-depth study on the Priestley- Taylor key parameter highlights its marked diurnal cycle and the need to adjust its value to improve flux partitioning between the sensible and latent heat fluxes (1.5 and 1.25 for France and Morocco, respectively). Optimal values of 1.8-2 were highlighted under cloudy conditions, which is of particular interest due to the emergence of low-altitude drone acquisition. Under developed vegetation (LAI>0.8m2 m-2) and unstressed conditions, using sets of parameters that only differentiate crop types is a valuable trade-off for SEtHyS. This study provides some scientific elements regarding the joint use of both approaches and TIR imagery, via the development of new data assimilation and calibration strategies.. © Author(s) 2019. This work is distributed under the Creative Commons Attribution 4.0 License.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/162837
Appears in Collections:气候变化与战略

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作者单位: Bigeard, G., CESBIO, Université de Toulouse, CNES, CNRS, INRA, IRD, UPS, Toulouse, France, Université Toulouse III - Paul Sabatier, Toulouse, France; Coudert, B., CESBIO, Université de Toulouse, CNES, CNRS, INRA, IRD, UPS, Toulouse, France, Université Toulouse III - Paul Sabatier, Toulouse, France; Chirouze, J., CESBIO, Université de Toulouse, CNES, CNRS, INRA, IRD, UPS, Toulouse, France; Er-Raki, S., Université Cadi Ayyad, Marrakech, Morocco, Morocco, Center for Remote Sensing Application (CRSA), Benguerir, Morocco; Boulet, G., CESBIO, Université de Toulouse, CNES, CNRS, INRA, IRD, UPS, Toulouse, France, IRD, Institut National Agronomique de Tunisie, Tunis, Tunisia; Ceschia, E., CESBIO, Université de Toulouse, CNES, CNRS, INRA, IRD, UPS, Toulouse, France, Université Toulouse III - Paul Sabatier, Toulouse, France; Jarlan, L., CESBIO, Université de Toulouse, CNES, CNRS, INRA, IRD, UPS, Toulouse, France, Université Cadi Ayyad, Marrakech, Morocco, Morocco

Recommended Citation:
Bigeard G.,Coudert B.,Chirouze J.,et al. Ability of a soil-vegetation-atmosphere transfer model and a two-source energy balance model to predict evapotranspiration for several crops and climate conditions[J]. Hydrology and Earth System Sciences,2019-01-01,23(12)
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