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Yeshewatesfa Hundecha
Researcher at Swedish Meteorological and Hydrological Institute
Publications - 25
Citations - 1107
Yeshewatesfa Hundecha is an academic researcher from Swedish Meteorological and Hydrological Institute. The author has contributed to research in topics: Flood myth & Climate change. The author has an hindex of 14, co-authored 25 publications receiving 879 citations. Previous affiliations of Yeshewatesfa Hundecha include University of Potsdam & Ruhr University Bochum.
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Journal ArticleDOI
Inter-comparison of statistical downscaling methods for projection of extreme precipitation in Europe
Maria Antonia Sunyer,Yeshewatesfa Hundecha,Deborah Lawrence,Henrik Madsen,Patrick Willems,Patrick Willems,Marta Martinkova,Klaus Vormoor,Gerd Bürger,Martin Hanel,Jurate Kriaučiūnienė,Athanasios Loukas,Marzena Osuch,Ismail Yucel +13 more
TL;DR: In this paper, the authors compared eight statistical downscaling methods (SDMs) often used in climate change impact studies, including change factors (CFs), three bias correction (BC) methods and one perfect prognosis method.
Journal ArticleDOI
Spatially coherent flood risk assessment based on long-term continuous simulation with a coupled model chain
Daniela Falter,Kai Schröter,Nguyen Viet Dung,Sergiy Vorogushyn,Heidi Kreibich,Yeshewatesfa Hundecha,Heiko Apel,Bruno Merz +7 more
TL;DR: In this article, a set of coupled models representing the complete flood risk chain, including a multisite, multivariate weather generator, a hydrological model, a coupled 1D-2D hydrodynamic model and a flood loss model, is presented.
Journal ArticleDOI
Evaluation of an ensemble of regional hydrological models in 12 large-scale river basins worldwide
Shaochun Huang,Rohini Kumar,Martina Flörke,Tao Yang,Yeshewatesfa Hundecha,Philipp Kraft,Chao Gao,Alexander Gelfan,Stefan Liersch,Anastasia Lobanova,Michael Strauch,Floris van Ogtrop,Julia Reinhardt,Uwe Haberlandt,Valentina Krysanova +14 more
TL;DR: In this article, the authors investigated the overall performance of 9 hydrological models for 12 large-scale river basins worldwide driven by the reanalysis climate data from the Water and Global Change (WATCH) project.
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Probability Analysis of Hydrological Loads for the Design of Flood Control Systems Using Copulas
TL;DR: In this paper, a method to estimate the probability of generated hydrological scenarios for the risk analysis of a flood control system is presented, based on the joint probability of the inflow peaks at the two reservoirs.
Journal ArticleDOI
An ensemble analysis of climate change impacts on streamflow seasonality across 11 large river basins
Stephanie Eisner,Martina Flörke,Alejandro Chamorro,Prasad Daggupati,Chantal Donnelly,Jinlong Huang,Yeshewatesfa Hundecha,Hagen Koch,A. S. Kalugin,Inna Krylenko,Vimal Mishra,Mikołaj Piniewski,Mikołaj Piniewski,Luis Samaniego,Ousmane Seidou,Markus Wallner,Valentina Krysanova +16 more
TL;DR: In this article, the authors investigated climate change impacts on streamflow seasonality for a set of eleven representative large river basins covering all continents and a wide range of climatic and physiographic settings.