Articles | Volume 21, issue 9
https://doi.org/10.5194/hess-21-4449-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/hess-21-4449-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
An improved SWAT vegetation growth module and its evaluation for four tropical ecosystems
Tadesse Alemayehu
CORRESPONDING AUTHOR
Vrije Universiteit Brussel (VUB), Department of Hydrology and
Hydraulic Engineering, Brussels, Belgium
IHE Delft Institute for Water Education, Department of Water Science
and Engineering, Delft, the Netherlands
Ann van Griensven
Vrije Universiteit Brussel (VUB), Department of Hydrology and
Hydraulic Engineering, Brussels, Belgium
IHE Delft Institute for Water Education, Department of Water Science
and Engineering, Delft, the Netherlands
Befekadu Taddesse Woldegiorgis
Vrije Universiteit Brussel (VUB), Department of Hydrology and
Hydraulic Engineering, Brussels, Belgium
Willy Bauwens
Vrije Universiteit Brussel (VUB), Department of Hydrology and
Hydraulic Engineering, Brussels, Belgium
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Discussed (final revised paper)
Latest update: 14 Dec 2024
Short summary
The goal of this paper is to improve the vegetation growth modelling in SWAT for tropical ecosystems. Therefore, we propose a straightforward but robust soil moisture index (SMI) – a quotient of rainfall (P) and reference evapotranspiration (ETr) – to dynamically initiate a new growth cycle within a predefined period. Our results for the Mara Basin (Kenya/Tanzania) show that the simulated LAI corresponds well with the MODIS LAI for for evergreen forest, savanna grassland and shrubland.
The goal of this paper is to improve the vegetation growth modelling in SWAT for tropical...