Predictive uncertainty in hydrological modelling is quantified by using post-processing or Bayesian-based methods. The former methods are not straightforward and the latter ones distribution-free (i.e. assumptions on probability distribution of model's output necessary). To alleviate possible limitations related to these specific attributes, this work we propose calibration model quantile loss ...

Background: Understanding the response of nitrogen fluxes to changes in land use and agricultural practices is crucial for improving the instream water quality prediction. In central Germany, the expansion of bioenergy crops during the last decade led to an increase in fertiliser application rates. The purpose of this study is to investigate the effect of agricultural management changes on the ...

Recent simulation models for watershed management can predict the effect of management decisions on nutrient flows and water quality with reasonable accuracy depending upon on accessible data, such as topographic and hydrological datasets, estimates of point and non-point sources, land cover and soil datasets, weather data, information about management practices and a wide range of other option...

The application of the hydrological processoriented model J2000 (J2K) is part of a cooperation project between the Thuringian Environmental Agency (Thüringer Landesanstalt für Umwelt und Geologie – TLUG) and the Department of Geoinformatics of the Friedrich-SchillerUniversity Jena focussing on the implementation of the EU water framework directive (WFD). In the first project phase J2K was param...

The nuclear weapons testing programme of the USA has released radionuclides to the subsurface at the Nevada Test Site. One of these tests has been used to study the hydrological transport of radionuclides for over 25 years in groundwater and the deep unsaturated zone. Ten years after the weapon's test, a 16 year groundwater pumping experiment was initiated to study the mobility of radionuclides...

Approximately one-third of the Earth’s land surface is considered to be arid or semiarid. The availability of water in such regions is particularly sensitive to climate variability while the demand for water is experiencing an explosive increase as populations continue to grow. The competition for available freshwater is exerting considerable pressure on the management of available water resour...

Hydrological models are created for a wide range of scales and intents. The Catchment Modelling Framework (CMF) extends the Python programming language with hydrology specific language elements, to setup specific hydrological models adapted to the scientific problems and the dominant flow processes of a particular study area. CMF provides a straightforward method to test hydrological theories a...