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Parameterizing the JULES land surface model for different land covers in the tropical Andes
Hydrological Sciences Journal ( IF 2.8 ) Pub Date : 2022-08-05 , DOI: 10.1080/02626667.2022.2094709
Hsi-Kai Chou 1, 2 , Boris F. Ochoa-Tocachi 1, 3, 4, 5 , Simon Moulds 1 , Wouter Buytaert 1, 4, 6
Affiliation  

ABSTRACT

Physically based hydrological models such as the Joint UK Land Environment Simulator (JULES) are increasingly used for hydrological assessments because of their state-of-the-art representation of physical processes and versatility. Generating parameter sets for a larger variety of land cover types may be an appropriate approach to simplify setting up JULES for operating simulations beyond the default parameterizations. Here we explore the possibilities of this approach using a case study in the tropical Andes. First, we evaluate to what extent the standard JULES land cover configurations can simulate the hydrological response of dominant soil and land cover types of the region. Next, we adjust the soil water retention parameters on a regional basis using experimental soil data from representative sites. We find that the adjusted parameters result in substantial alteration for the flow partition. Such parameterizations may increase the configurations to implement JULES for a larger variety of land cover types and assess soil disturbance’s potential impact more precisely.



中文翻译:

热带安第斯山脉不同土地覆盖的 JULES 地表模型参数化

摘要

基于物理的水文模型,如联合英国陆地环境模拟器 (JULES),因其对物理过程的最先进表示和多功能性而越来越多地用于水文评估。为更多种类的土地覆盖类型生成参数集可能是简化设置 JULES 以进行超出默认参数化的操作模拟的适当方法。在这里,我们使用热带安第斯山脉的案例研究来探索这种方法的可能性。首先,我们评估标准 JULES 土地覆盖配置在多大程度上可以模拟该地区主要土壤和土地覆盖类型的水文响应。接下来,我们使用来自代表性站点的实验土壤数据在区域基础上调整土壤保水参数。我们发现调整后的参数会导致流分区的实质性改变。这种参数化可能会增加配置,以针对更多种土地覆盖类型实施 JULES,并更准确地评估土壤扰动的潜在影响。

更新日期:2022-08-05
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