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Aynom Teweldebrhan

Aynom Teweldebrhan
Norsk Hydro · Hydro Energy

Phd in Hydrology

About

9
Publications
1,557
Reads
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73
Citations
Citations since 2016
8 Research Items
72 Citations
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201620172018201920202021202205101520

Publications

Publications (9)
Article
Full-text available
Monte Carlo (MC) methods have been widely used in uncertainty analysis and parameter identification for hydrological models. The main challenge with these approaches is, however, the prohibitive number of model runs required to acquire an adequate sample size, which may take from days to months-especially when the simulations are run in distributed...
Article
Full-text available
Distributed and semi-distributed hydrological modeling approaches commonly involve the discretization of a catchment into several modeling elements. Although some modeling studies were conducted using triangulated irregular networks (TINs) previously, little attention has been given to assess the impact of TINs as compared to the standard catchment...
Thesis
Full-text available
In the contemporary scene, many environmental and water resources related decisions rely upon wide range of modelling results. However, models are simplified representations of reality and their predictions are generally imperfect due to the inherent uncertainties emanating from various sources. Therefore, there is an increasing demand to incorpora...
Preprint
Full-text available
Monte Carlo (MC) methods have been widely used in uncertainty analysis and parameter identification for hydrological models. The main challenge with these approaches is, however, the prohibitive number of model runs required to get an adequate sample size which may take from days to months especially when the simulations are run in distributed mode...
Article
Full-text available
Remote sensing fractional snow cover area (fSCA) has been increasingly used to get an improved estimate of the spatiotemporal distribution of snow water equivalent (SWE) through reanalysis using different data assimilation (DA) schemes. Although the effective assimilation period of fSCA is well recognized in previous studies, little attention has b...
Article
Full-text available
Parameter uncertainty estimation is one of the major challenges in hydrological modeling. Here we present parameter uncertainty analysis of a recently released distributed conceptual hydrological model applied in the Nea catchment, Norway. Two variants of the generalized likelihood uncertainty estimation (GLUE) methodologies, one based on the resid...
Article
Full-text available
Parameter uncertainty estimation is one of the major challenges in hydrological modeling. Here we present parameter uncertainty analysis of a recently released distributed conceptual hydrological model applied in the Nea catchment, Norway. Two variants of the generalized likelihood uncertainty estimation (GLUE) methodologies, one based on the resid...
Article
Full-text available
Parameter uncertainty estimation is one of the major challenges in hydrological modelling. Here we present parameter uncertainty analysis of a recently released distributed conceptual hydrological model applied in the Nea catchment, Norway. Two variants of the generalized likelihood uncertainty estimation (GLUE) methodologies, one based on the resi...
Article
Full-text available
Water is characterised by both its quantity (availability) and its quality. Salinity refers to the total dissolved solutes in water and it is one of the major water quality parameters limiting a wide range use of land and water resources. The ACRU agrohydrological modelling system, with its physically-conceptually based characteristics as well as b...

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