Large-scale hydrological models are important decision support tools in water resources management. The largest source of uncertainty in such models is the hydrostratigraphic model. Geometry and configuration of hydrogeological units are often poorly determined from hydrogeological data alone. Due to sparse sampling in space, lithological borehole logs may overlook structures that are important...

This study is a part of an on-going Danish research project HYACINTS. A key outcome of the project is a fully coupled model setup using the HIRHAM regional climate model and the MIKE SHE hydrological model with the intent of improving hydrological predictions. We here present results from the initial studies prior to the coupling performed to aid in the decision of optimal climate model domain ...

Future hydrological extremes, such as floods and droughts, may pose serious threats for the livelihoods in the upstream domains of the Indus, Ganges, Brahmaputra. For this reason, the impacts of climate change on future hydrological extremes is investigated in these river basins. We use a fully-distributed cryospheric-hydrological model to simulate current and future hydrological fluxes and for...

There is an increasing need for model coupling. However, model coupling is complicated. Scientists develop and improve models to represent physical processes occurring in nature. These models are built in different software programs required to run the model. A software program or application represents part of the system knowledge. This knowledge is however encapsulated in the program and ofte...

Hydrological components in a river basin can get adversely affected by climate change in coming future. Manipur River basin lies in the extreme northeast region of India nestled in the lesser Himalayan ranges and it is under severe pressure from anthropogenic and natural factors. Basin is un-gauged as it lies in remote location and suffering from large data scarcity. This paper explores the imp...

A watershed simulation and forecasting system is widely used in Finland for simulation of hydrological cycle and for making real-time forecasts. The system is based on a watershed model. This was based originally on the HBV-model and simulates the hydrological cycle using standard meteorological data. The model simulates the whole land area of Finland, including cross-border watersheds. This is...

A data mining, regression tree algorithm M5 was used to review the understanding of mutual hydrological and seasonal settings which control the streamwater nitrate flushing during hydrological events within a forested watershed in the southwestern part of Slovenia, characterized by distinctive flushing, almost torrential hydrological regime. 5 The basis for the research presented an extensive d...

Accurate rainfall forecasts using numerical weather prediction (NWP) models can provide significant increases in forecast lead-time and thereby give greater opportunity for flood warning and protection measures. One goal of the FLOODRELIEF project is to quantify the uncertainty of forecast precipitation fields from two different NWP models (Eta and MM5) to investigate the impact of precipitatio...

River discharge is an important issue to be monitored because of its significant influence on environmental systems, on human lives for water resource exploitation, and hazards related to floods and landslides. In this context, we have designed and developed a web-based Geoportal for hydrological applications that integrates geospatial processing services and web mapping viewers to provide an i...