Due to the growing wish and necessity to simulate the possible effects of climate change on the discharge regime on large rivers such as the Rhine in Europe, there is a need for well performing hydrological models that can be applied in climate change scenario studies. There exists large variety in available models and there is an ongoing debate in research on rainfall-runoff modelling on wheth...

A novel ensemble-based conceptual-data-driven approach (CDDA) is developed where a data-driven model (DDM) used to “correct” the residuals from an ensemble of hydrological (HM) simulations. The CDDA respects processes via HM and it benefits DDM's ability simulate complex relationship between input variables. can accomodate any DDM, allowing for different configurations be tested. tested streamf...

context-dependent modeling is a well-known approach to increase modeling accuracy in continuous speech recognition. the most common way to implement this approach is via triphone modeling. nevertheless, the large number of such models results in several problems in model training, whilst the robust training of such models is often hardly obtained. one approach to solve this problem is via param...

The Shuffled Complex Evolution (SCE-UA) method has been widely applied for calibration of rainfall-runoff models and has been shown to be robust and efficient search algorithm. In spite of its superiority, since many commonly used rainfallrunoff models have large simulation times, the use of model calibrating algorithms may become impractical due to the high computational time involved. This wo...

Abstract. Information about the spatiotemporal variability of soil moisture is critical for many purposes, including monitoring hydrologic extremes, irrigation scheduling, and prediction agricultural yields. We evaluated temporal dynamics 18 state-of-the-art (quasi-)global near-surface products, six based on satellite retrievals, models without data assimilation (referred to hereafter as “open-...

Papers published in Hydrology and Earth System Sciences Discussions are under open-access review for the journal Hydrology and Earth System Sciences Abstract The most important climatological inputs required for the calibration and validation of hydrological models are temperature and precipitation that can be derived from observational records or alternatively from regional climate models (RCM...

Seibert, J., 1999. Conceptual runoff models fiction or representation of reality? Acta Univ. Ups., Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology 436. 52 pp. Uppsala. ISBN 91-554-4402-4. Available observations are often not sufficient as a basis for decision making in water management. Conceptual runoff models are frequently used as tools for a wide ...

This paper presents two hydrological models developed for the Euphrates–Tigris Basin in Turkey. The first model is a linear regression-based allowing estimation of streamflow based on available hydroclimatic data (precipitation, temperature, evapotranspiration, etc.) with use clustering analysis. second consists an elevation-based semi-distributed (HBV model), process-based modelling watershed....

Many generalizations are impossible to learn via primary linguistic data, so they are assumed to be part of our genetic endowment. Generativists have tried to reduce Universal Grammar (UG) to a minimum, in particular by appealing to computational efficiency. In principle, this is an important improvement. The bottom line, however, is how well this computational approach explains the data. Unfor...