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Dive into the research topics where Harald Kling is active.

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Featured researches published by Harald Kling.


Hydrological Sciences Journal-journal Des Sciences Hydrologiques | 2015

Performance of the COSERO precipitation–runoff model under non-stationary conditions in basins with different climates

Harald Kling; Philipp Stanzel; Martin Fuchs; H. P. Nachtnebel

Abstract This study is a contribution to a model intercomparison experiment initiated during a workshop at the 2013 IAHS conference in Göteborg, Sweden. We present discharge simulations with the conceptual precipitation–runoff model COSERO in 11 basins located under different climates in Europe, Africa and Australia. All of the basins exhibit some form of non-stationary conditions, due, for example, to warming, droughts or land-cover change. The evaluation of the daily discharge simulations focuses on the overall model performance and its decomposition into three components measuring temporal dynamics, mean flow volume and distribution of flows. Calibration performance is similarly high as in previous COSERO applications. However, when looking at evaluation periods independent of the calibration, the model performance drops considerably, mainly due to severely biased discharge simulations in semi-arid basins with strong non-stationarity in rainfall. Simulations are more robust in European basins with humid climates. This highlights the fact that hydrological models frequently fail when simulations are required outside of calibration conditions in basins with non-stationary conditions. As a consequence, calibration periods should be sufficiently long to include both wet and dry periods, which should yield more robust predictions.


Wasserwirtschaft | 2012

Das Wasserkraftpotenzial Österreichs im Spannungsfeld von Umweltpolitik und Klimawandel

Martin Fuchs; Ernst Zeller; Anne Joeppen; Herbert Weilguni; Harald Kling

Das theoretische Wasserkraftpotenzial Osterreichs wird auf mindestens 75000GWh/a geschatzt, wovon bereits 35300GWh/a ausgebaut sind. Vom verbleibenden Potenzial konnten ca. 18000GWh/a technisch und wirtschaftlich sinnvoll genutzt werden. Lasst man die Potenziale in hochsensiblen Gebieten (Nationalparks, Welterbestatten) unberucksichtigt, reduziert sich dieser Wert auf ca. 13000GWh/a. Gemas der osterreichischen Energiestrategie sollen von diesem Potenzial bis 2015 insgesamt 3500GWh/a durch Optimierung bestehender Anlagen oder Errichtung neuer Kraftwerke gehoben werden, was teilweise im Konflikt mit den Anforderungen der europaischen Wasserrahmenrichtlinie steht. Erzeugungseinbusen ergeben sich zukunftig moglicherweise aus Umweltauflagen und Folgen des Klimawandels.


Journal of Hydrology | 2009

Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling

Hoshin V. Gupta; Harald Kling; Koray K. Yilmaz; Guillermo F. Martinez


Journal of Hydrology | 2012

Runoff conditions in the upper Danube basin under an ensemble of climate change scenarios

Harald Kling; Martin Fuchs; Maria Paulin


Journal of Hydrology | 2009

On the development of regionalization relationships for lumped watershed models: The impact of ignoring sub-basin scale variability

Harald Kling; Hoshin V. Gupta


Water Resources Research | 2011

On typical range, sensitivity, and normalization of Mean Squared Error and Nash‐Sutcliffe Efficiency type metrics

Hoshin V. Gupta; Harald Kling


Journal of Hydrology: Regional Studies | 2014

Impact modelling of water resources development and climate scenarios on Zambezi River discharge

Harald Kling; Philipp Stanzel; Martin Preishuber


Journal of Hydrology | 2009

A method for the regional estimation of runoff separation parameters for hydrological modelling

Harald Kling; H. P. Nachtnebel


Hydrological Processes | 2006

Seasonal, spatially distributed modelling of accumulation and melting of snow for computing runoff in a long‐term, large‐basin water balance model

Harald Kling; Josef Fürst; H. P. Nachtnebel


Hydrological Processes | 2009

A spatio-temporal comparison of water balance modelling in an Alpine catchment.

Harald Kling; H. P. Nachtnebel

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Martin Fuchs

University of Agricultural Sciences

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Koray K. Yilmaz

Middle East Technical University

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Josef Fürst

University of Agricultural Sciences

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