气候变化领域集成服务门户(CCPortal): Ability of a soil-vegetation-atmosphere transfer model and a two-source energy balance model to predict evapotranspiration for several crops and climate conditions

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DOI	10.5194/hess-23-5033-2019
	Ability of a soil-vegetation-atmosphere transfer model and a two-source energy balance model to predict evapotranspiration for several crops and climate conditions
	Bigeard G.; Coudert B.; Chirouze J.; Er-Raki S.; Boulet G.; Ceschia E.; Jarlan L.
发表日期	2019
ISSN	1027-5606
起始页码	5033
结束页码	5058
卷号	23 期号:12
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.
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
来源期刊	Hydrology and Earth System Sciences
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/159547
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
推荐引用方式 GB/T 7714	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],2019,23(12).
APA	Bigeard G..,Coudert B..,Chirouze J..,Er-Raki S..,Boulet G..,...&Jarlan L..(2019).Ability of a soil-vegetation-atmosphere transfer model and a two-source energy balance model to predict evapotranspiration for several crops and climate conditions.Hydrology and Earth System Sciences,23(12).
MLA	Bigeard G.,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".Hydrology and Earth System Sciences 23.12(2019).