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Energy balance in the DSSAT-CSM-CROPGRO model
Agricultural and Forest Meteorology ( IF 6.2 ) Pub Date : 2021-02-01 , DOI: 10.1016/j.agrformet.2020.108241
Santiago V. Cuadra , Bruce A. Kimball , Kenneth J. Boote , Andrew E. Suyker , Nigel Pickering

Abstract One potential way to improve crop growth models is for the models to predict energy balance and evapotranspiration (ET) from first principles, thus serving as a check on “engineered” ET methodology. In this paper, we present new implementations and the results of an energy balance model (EBL) developed by Jagtap and Jones (1989) and then implemented in DSSAT's CROPGRO (CG-EBL) model by Pickering et al. (1995) as a linked energy balance-photosynthesis model that has not been field-tested until now. The energy balance code computes evapotranspiration and other energy balance components, as well as a canopy air temperature, based on three sources (sunlit leaves, shaded leaves, soil surface). Model performance was evaluated with measured biomass and energy fluxes from two sites in Nebraska, namely, the US-Ne2 irrigated maize-soybean rotation field and the US-Ne3 rainfed maize-soybean rotation field, which are part of the Ameriflux eddy covariance network ( https://ameriflux.lbl.gov/sites ). After implementing new aerodynamic resistances and the stomatal conductance model of the Ball–Berry–Leuning, crop growth, evapotranspiration and soil temperature were simulated well by the EBL model. The EBL improved ET predictions slightly over the often-used FAO56 method [Penman–Monteith (Allen et al., 1998)] for 4 of the 5 years evaluated for both irrigated and rainfed conditions. Further, a significant improvement was achieved using EBL for the simulation of soil temperature at the various depths compared to STEMP, the original subroutine in DSSAT for simulating soil temperature. Compared to the other available DSSAT methods, the EBL explicitly simulates the impacts of crop morphology, physiology and management on the crop's environment and energy and mass exchange, which in turn directly affect the water use and irrigation requirements, phenology, photosynthesis, growth, sterility, and yield of the crop.

中文翻译:

DSSAT-CSM-CROPGRO 模型中的能量平衡

摘要 改进作物生长模型的一种潜在方法是让模型根据第一原理预测能量平衡和蒸散量 (ET),从而作为对“工程化”ET 方法的检查。在本文中,我们介绍了由 Jagtap 和 Jones (1989) 开发的能量平衡模型 (EBL) 的新实现和结果,然后由 Pickering 等人在 DSSAT 的 CROPGRO (CG-EBL) 模型中实现。(1995) 作为一个链接的能量平衡-光合作用模型,直到现在还没有经过现场测试。能量平衡代码根据三个来源(阳光照射的叶子、阴影的叶子、土壤表面)计算蒸散量和其他能量平衡分量,以及冠层气温。模型性能通过测量的内布拉斯加州两个地点的生物量和能量通量进行评估,即,US-Ne2 灌溉玉米-大豆轮作田和 US-Ne3 雨养玉米-大豆轮作田,它们是 Ameriflux 涡流协方差网络 (https://ameriflux.lbl.gov/sites) 的一部分。在实施新的空气动力学阻力和 Ball-Berry-Leuning 的气孔导度模型后,EBL 模型可以很好地模拟作物生长、蒸发蒸腾和土壤温度。在对灌溉和雨育条件进行评估的 5 年中的 4 年中,EBL 比常用的 FAO56 方法 [Penman-Monteith (Allen et al., 1998)] 略微改进了 ET 预测。此外,与 STEMP(DSSAT 中用于模拟土壤温度的原始子程序)相比,使用 EBL 模拟不同深度的土壤温度实现了显着改进。与其他可用的 DSSAT 方法相比,
更新日期:2021-02-01
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