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Improvement Test for the Canopy Interception Parameterization Scheme in the Community Land Model

机译：社区土地模型中的泛浦拦截参数方案的改进试验

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摘要

The Qian atmospheric forcing dataset is used to drive version 4.5 of the Community Land Model (CLM4.5) in off-line simulation tests. Based on the Global Land Evaporation Amsterdam Model (GLEAM) data, we attempt to ameliorate the canopy interception parameterization scheme in CLM4.5 by improving the empirical parameter and the physical structure. Considering that different plant functional types (PFTs) have different capacities to intercept rainfall is denoted as SEN1, and accounting for the influence of wind speed on canopy interception on the basis of SEN1 is denoted as SEN2. SEN1 shows obvious improvement in the simulated evaporation of intercepted water from vegetation canopy (Ec), not only greatly reduces the positive bias of the model to simulate Ec, especially in the equatorial region, but also significantly reduces the root mean square error (RMSE). SEN2 further improves the simulation of Ec by lowering the RMSE and increasing consistency with GLEAM data. In addition, the percentages of Ec over total evapotranspiration in both SEN1 and SEN2 are more reasonable and much closer to GLEAM data than that in CLM4.5.
机译：Qian大气强制使用数据集用于在离线仿真测试中驱动社区土地模型（CLM4.5）的4.5版。基于全球土地蒸发阿姆斯特丹模型（Gleam）数据，我们试图通过改进经验参数和物理结构来改善CLM4.5中的泛浦拦截参数化方案。考虑到不同的植物功能类型（PFT）具有不同的拦截降雨能力，表示为SEN1，并且在SEN1基于SEN1的基础上的风速对冠层拦截的影响。 SEN1显示了植被冠层（EC）模拟蒸发的明显改善，不仅大大降低了模型的正偏差，尤其是在赤道区域中，而且还显着降低了根均方误差（RMSE） 。通过降低RMSE和增加闪光数据的一致性，SEN2进一步提高了EC的模拟。此外，SEN1和SEN2中的EC过度蒸散的EC百分比更合理，更接近GLM4.5中的闪烁数据。

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