A critical assessment of the JULES land surface model hydrology for humid tropical environments

Global land surface models (LSMs) such as the Joint UK Land Environment Simulator (JULES) are originally developed to provide surface boundary conditions for climate models. They are increasingly used for hydrological simulation, for instance to simulate the impacts of land use changes and other per...

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Main Authors: Z. Zulkafli, W. Buytaert, C. Onof, W. Lavado, J. L. Guyot
Format: Article
Language:English
Published: Copernicus Publications 2013-03-01
Series:Hydrology and Earth System Sciences
Online Access:http://www.hydrol-earth-syst-sci.net/17/1113/2013/hess-17-1113-2013.pdf
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author Z. Zulkafli
W. Buytaert
C. Onof
W. Lavado
J. L. Guyot
author_facet Z. Zulkafli
W. Buytaert
C. Onof
W. Lavado
J. L. Guyot
author_sort Z. Zulkafli
collection DOAJ
description Global land surface models (LSMs) such as the Joint UK Land Environment Simulator (JULES) are originally developed to provide surface boundary conditions for climate models. They are increasingly used for hydrological simulation, for instance to simulate the impacts of land use changes and other perturbations on the water cycle. This study investigates how well such models represent the major hydrological fluxes at the relevant spatial and temporal scales – an important question for reliable model applications in poorly understood, data-scarce environments. The JULES-LSM is implemented in a 360 000 km<sup>2</sup> humid tropical mountain basin of the Peruvian Andes–Amazon at 12-km grid resolution, forced with daily satellite and climate reanalysis data. The simulations are evaluated using conventional discharge-based evaluation methods, and by further comparing the magnitude and internal variability of the basin surface fluxes such as evapotranspiration, throughfall, and surface and subsurface runoff of the model with those observed in similar environments elsewhere. We find reasonably positive model efficiencies and high correlations between the simulated and observed streamflows, but high root-mean-square errors affecting the performance in smaller, upper sub-basins. We attribute this to errors in the water balance and JULES-LSM's inability to model baseflow. We also found a tendency to under-represent the high evapotranspiration rates of the region. We conclude that strategies to improve the representation of tropical systems to be (1) addressing errors in the forcing and (2) incorporating local wetland and regional floodplain in the subsurface representation.
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spelling doaj.art-c2982aa8b44b411492d1e1375b699f432022-12-21T23:18:06ZengCopernicus PublicationsHydrology and Earth System Sciences1027-56061607-79382013-03-011731113113210.5194/hess-17-1113-2013A critical assessment of the JULES land surface model hydrology for humid tropical environmentsZ. ZulkafliW. BuytaertC. OnofW. LavadoJ. L. GuyotGlobal land surface models (LSMs) such as the Joint UK Land Environment Simulator (JULES) are originally developed to provide surface boundary conditions for climate models. They are increasingly used for hydrological simulation, for instance to simulate the impacts of land use changes and other perturbations on the water cycle. This study investigates how well such models represent the major hydrological fluxes at the relevant spatial and temporal scales – an important question for reliable model applications in poorly understood, data-scarce environments. The JULES-LSM is implemented in a 360 000 km<sup>2</sup> humid tropical mountain basin of the Peruvian Andes–Amazon at 12-km grid resolution, forced with daily satellite and climate reanalysis data. The simulations are evaluated using conventional discharge-based evaluation methods, and by further comparing the magnitude and internal variability of the basin surface fluxes such as evapotranspiration, throughfall, and surface and subsurface runoff of the model with those observed in similar environments elsewhere. We find reasonably positive model efficiencies and high correlations between the simulated and observed streamflows, but high root-mean-square errors affecting the performance in smaller, upper sub-basins. We attribute this to errors in the water balance and JULES-LSM's inability to model baseflow. We also found a tendency to under-represent the high evapotranspiration rates of the region. We conclude that strategies to improve the representation of tropical systems to be (1) addressing errors in the forcing and (2) incorporating local wetland and regional floodplain in the subsurface representation.http://www.hydrol-earth-syst-sci.net/17/1113/2013/hess-17-1113-2013.pdf
spellingShingle Z. Zulkafli
W. Buytaert
C. Onof
W. Lavado
J. L. Guyot
A critical assessment of the JULES land surface model hydrology for humid tropical environments
Hydrology and Earth System Sciences
title A critical assessment of the JULES land surface model hydrology for humid tropical environments
title_full A critical assessment of the JULES land surface model hydrology for humid tropical environments
title_fullStr A critical assessment of the JULES land surface model hydrology for humid tropical environments
title_full_unstemmed A critical assessment of the JULES land surface model hydrology for humid tropical environments
title_short A critical assessment of the JULES land surface model hydrology for humid tropical environments
title_sort critical assessment of the jules land surface model hydrology for humid tropical environments
url http://www.hydrol-earth-syst-sci.net/17/1113/2013/hess-17-1113-2013.pdf
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