Improving the simulation of soil temperature within the EPIC model

Improving the simulation of soil temperature within the EPIC model
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DOI:
10.1016/j.envsoft.2021.105140
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发表时间:
2021-07-27
影响因子:
4.9
通讯作者:
Norfleet, M. Lee
Norfleet, M. Lee
中科院分区:
环境科学与生态学2区
文献类型:
--
作者:
Doro, Luca;Wang, Xiuying;Norfleet, M. Lee

文献摘要

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土壤温度是几个物理,化学和生物过程的关键驱动力。环境政策综合气候(EPIC)是一个综合的生态系统模型,它使用余弦函数方法模拟土壤温度动态,由日气温和阻尼深度的年平均土壤温度驱动,这可能会错误地预测冬季较低的土壤温度。因此,一个新的余弦模型和伪传热模型的开发和实施模拟土壤温度。这两种方法进行了评估,通过比较模拟的每日土壤温度与观测数据在24个研究地点。结果表明,这两种新方法具有相似的性能和更好的统计结果与这些新方法证明了更好地预测土壤温度的土壤气候条件,土地管理和土地利用范围广泛的能力。性能提高的主要原因是由于更好地预测了冬季的土壤温度。
Soil temperature is a key driver of several physical, chemical, and biological processes. The Environmental Policy Integrated Climate (EPIC) is a comprehensive ecosystem model that simulates soil temperature dynamics using a cosine function approach driven by daily air temperature and average annual soil temperature at damping depth, which may erroneously predict lower soil temperatures in winter. A new cosine model and a pseudo-heat-transfer model were therefore developed and implemented for simulating soil temperature. The two methods were evaluated by comparing simulated daily soil temperatures with observed data at 24 study sites. Results showed that the two new methods had similar performance and the better statistical results obtained with these new methods demonstrated the ability to better predict the soil temperature for a wide range of pedoclimatic conditions, land management, and land uses. The main reason for the improved performance was due to a better prediction of soil temperature during the winter period.