Quantitative Precipitation Estimation and Hydrological Modeling in Japan

Quantitative Precipitation Estimation and Quantitative Precipitation Forecasting by the Japan Meteorological Agency

Spatial variability of precipitation for hydrological modelling

Effects of spatial variability of precipitation for process-orientated hydrological modelling: results from two nested catchments D. Tetzlaff and U. Uhlenbrook Department of Geography and Environment, University of Aberdeen, Aberdeen AB24 3UF, Scotland, United Kingdom Institute of Hydrology, University of Freiburg, Fahnenbergplatz, 79098 Freiburg, Germany Received: 14 December 2004 – Accepted: ...

Hydrological modeling in Modelica

Hydrological modeling is an area where modeling has been used for a very long time. Applications range from forecasts for the hydro power industry, public safety, agriculture and environmental monitoring. Still, to the best of our knowledge, Modelica has been very little used in hydrological modeling so far. In this paper, we aim to show that the Modelica language is well suited for hydrologica...

Comparison and evaluation of satellite derived precipitation products for hydrological modeling of the Zambezi River Basin

In the framework of the African DAms ProjecT (ADAPT), an integrated water resource management study in the Zambezi Basin is currently under development. In view of the sparse gauging network for rainfall monitoring, the observations from spaceborne instrumentation currently produce the only available rainfall data for a large part of the basin. Three operational and acknowledged high resolution...

Estimation of predictive hydrological uncertainty

This discussion paper is/has been under review for the journal Hydrology and Earth System Sciences (HESS). Please refer to the corresponding final paper in HESS if available. Abstract In this paper, a technique is presented for assessing the predictive uncertainty of rainfall-runoff and hydraulic forecasts that conditions forecasts uncertainty on the forecasted value itself, based on retrospect...