Preprints
https://doi.org/10.5194/gmd-2021-170
https://doi.org/10.5194/gmd-2021-170

Submitted as: model evaluation paper 11 Aug 2021

Submitted as: model evaluation paper | 11 Aug 2021

Review status: this preprint is currently under review for the journal GMD.

Evaluating the Atibaia River Hydrology using JULES6.1

Hsi-Kai Chou1, Ana Maria Heuminski de Avila2, and Michaela Bray1 Hsi-Kai Chou et al.
  • 1School of Engineering, Cardiff University, Cardiff, CF24 3AA, UK
  • 2Center for Meteorological and Climate Research Applied to Agriculture (CEPAGRI) at the State University of Campinas, Campinas, SP 13083-871, Brazil

Abstract. Land surface 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. Unlike statistical models and AI models, the JULES model simulates the physical water flux under given meteorological conditions, allowing us to understand and investigate the cause and effect of environmental processes changes. Here we explore the possibility of this approach using a case study in the Atibaia river basin, which serves as a major water supply for metropolitan regions of Campinas and São Paulo, Brazil. The watershed is suffering increasing hydrological risks, which could be attributed to environmental changes, such as urbanization and agricultural activity. The increasing risks highlight the importance to evaluate the land surface processes of the watershed systematically. We explore the use of local precipitation collection complement with multiple sources of global reanalysis data to simulate the basin hydrology. Our results show that the coarse resolution of rainfall data is the main reason to reduce model performance. Despite this shortcoming, key hydrological fluxes in the basin can be represented by the JULES model simulations.

Hsi-Kai Chou et al.

Status: open (until 06 Oct 2021)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2021-170', Anonymous Referee #1, 08 Sep 2021 reply
  • RC2: 'Comment on gmd-2021-170', Anonymous Referee #2, 16 Sep 2021 reply

Hsi-Kai Chou et al.

Hsi-Kai Chou et al.

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Short summary
Land surface models allowing us to understand and investigate the cause and effect of environmental processes changes. Therefore, this type of model is increasingly used for hydrological assessments. Here we explore the possibility of this approach using a case study in the Atibaia river basin, which serves as a major water supply for metropolitan regions of Campinas and São Paulo, Brazil. We evaluated the model performance and use the model to predict the basin hydrology.