Seleshi Yalew

Mr. Seleshi Yalew


Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
11 January 2021 in Nature Climate Change
Verified
Journal Article
Closed access
PDF file
DGDavid E. H. J. Gernaat
David E. H. J. Gernaat
HBHarmen Sytze de Boer
Harmen Sytze de Boer
VDVassilis Daioglou
Vassilis Daioglou
SYSeleshi Yalew
Seleshi Yalew
CMChristoph Müller
Christoph Müller
DVDetlef P. van Vuuren
Detlef P. van Vuuren

3 August 2020 in Nature Energy
Verified
Journal Article
Closed access
PDF file
SYSeleshi Yalew
Seleshi Yalew
MVMichelle T. H. van Vliet
Michelle T. H. van Vliet
DGDavid E. H. J. Gernaat
David E. H. J. Gernaat
FLFulco Ludwig
Fulco Ludwig
AMAriel Miara
Ariel Miara
DVDetlef P. van Vuuren
Detlef P. van Vuuren

15 June 2016 in Modeling Earth Systems and Environment
Verified
Journal Article
Closed access
PDF file
SYSeleshi Yalew
Seleshi Yalew
AGAnn van Griensven
Ann van Griensven
MMMarloes Mul
Marloes Mul
PZPieter van der Zaag
Pieter van der Zaag

20 September 2012 in Hydrology and Earth System Sciences
Verified
Journal Article
Open access
PDF file
AGAnn van Griensven
Ann van Griensven
PNP. Ndomba
P. Ndomba
SYSeleshi Yalew
Seleshi Yalew
FKF. Kilonzo
F. Kilonzo
The Soil and Water Assessment Tool (SWAT) is an integrated river basin model that is widely applied within the Nile basin. Up to date, more than 20 peer-reviewed papers describe the use of SWAT for a variety of problems in the upper Nile basin countries, such as erosion modelling, land use and climate change impact modelling and water resources management. The majority of the studies are focused on locations in the tropical highlands in Ethiopia and around Lake Victoria. The popularity of SWAT is attributed to the fact that the tool is freely available and that it is readily applicable through the development of geographic information system (GIS) based interfaces and its easy linkage to sensitivity, calibration and uncertainty analysis tools. The online and free availability of basic GIS data that are required for SWAT made its applicability more straightforward even in data-scarce areas. However, the easy use of SWAT may not always lead to appropriate models which is also a consequence of the quality of the available free databases in these regions. In this paper, we aim at critically reviewing the use of SWAT in the context of the modelling purpose and problem descriptions in the tropical highlands of the Nile basin countries. To evaluate the models that are described in journal papers, a number of criteria are used to evaluate the model set-up, model performances, physical representation of the model parameters, and the correctness of the hydrological model balance. On the basis of performance indicators, the majority of the SWAT models were classified as giving satisfactory to very good results. Nevertheless, the hydrological mass balances as reported in several papers contained losses that might not be justified. Several papers also reported the use of unrealistic parameter values. More worrying is that many papers lack this information. For this reason, most of the reported SWAT models have to be evaluated critically. An important gap is the lack of attention that is given to the vegetation and crop processes. None of the papers reported any adaptation to the crop parameters, or any crop-related output such as leaf area index, biomass or crop yields. A proper simulation of the land cover is important for obtaining correct runoff generation, evapotranspiration and erosion computations. It is also found that a comparison of SWAT applications on the same or similar case study but by different research teams and/or model versions resulted in very different results. It is therefore recommended to find better methods to evaluate the representativeness of the distributed processes and parameters (especially when land use studies are envisaged) or predictions of the future through environmental changes. The main recommendation is that more details on the model set-up, the parameters and outputs should be provided in the journal papers or supplementary materials in order to allow for a more stringent evaluation of these models.

1 October 2016 in Computers and Electronics in Agriculture
Verified
Journal Article
Closed access
SYSeleshi Yalew
Seleshi Yalew
AGA. van Griensven
A. van Griensven
PZPieter van der Zaag
Pieter van der Zaag

1 April 2018 in Landscape and Urban Planning
Verified
Journal Article
Closed access
JGJeroen Groot
Jeroen Groot
SYSeleshi Yalew
Seleshi Yalew
WRWalter A.H. Rossing
Walter A.H. Rossing