Parameterizing the JULES land surface model for different land covers in the tropical Andes

Chou, Hsi-Kai ORCID: https://orcid.org/0000-0002-0010-8148, Ochoa-Tocachi, Boris F., Moulds, Simon and Buytaert, Wouter 2022. Parameterizing the JULES land surface model for different land covers in the tropical Andes. Hydrological Sciences Journal 67 (10) 10.1080/02626667.2022.2094709

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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

Item Type:	Article
Date Type:	Published Online
Status:	Published
Schools:	Engineering
Publisher:	Taylor and Francis Group
ISSN:	0262-6667
Date of First Compliant Deposit:	23 June 2023
Date of Acceptance:	17 May 2022
Last Modified:	29 Jun 2023 19:28
URI:	https://orca.cardiff.ac.uk/id/eprint/160538

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