Precipitation forecasts and their uncertainty as input into hydrological models
نویسندگان
چکیده
منابع مشابه
Scaling Precipitation Input to Spatially Distributed Hydrological Models by Measured Snow Distribution
Accurate knowledge on snow distribution in alpine terrain is crucial for various applications such as flood risk assessment, avalanche warning or managing water supply and hydro-power. To simulate the seasonal snow cover development in alpine terrain, the spatially distributed, physics-based model Alpine3D is suitable. The model is typically driven by spatial interpolations of observations from...
متن کاملPrecipitation and temperature ensemble forecasts from single-value forecasts
Papers published in Hydrology and Earth System Sciences Discussions are under open-access review for the journal Hydrology and Earth System Sciences Abstract Introduction Conclusions References Tables Figures ◭ ◮ ◭ ◮ Back Close Full Screen / Esc Printer-friendly Version Interactive Discussion EGU Abstract A procedure is presented to construct ensemble forecasts from single-value forecasts of pr...
متن کاملProbabilistic Forecasts of Precipitation Type
Precipitation-type forecasting is the determination of when and where particular types of precipitation (e.g., snow, rain, ice pellets, freezing rain) will occur during a forecast period. Although much is already known about the physical processes that determine the type of precipitation that reaches the ground, these forecasts are very challenging for most forecasters because of inadequate atm...
متن کاملHydrological Utility and Uncertainty of Multi-Satellite Precipitation Products in the Mountainous Region of South Korea
Satellite-derived precipitation can be a potential source of forcing data for assessing water availability and managing water supply in mountainous regions of East Asia. This study investigates the hydrological utility of satellite-derived precipitation and uncertainties attributed to error propagation of satellite products in hydrological modeling. To this end, four satellite precipitation pro...
متن کاملP3b.2 Applying Distributional Results of Stochastic Quantitative Precipitation Nowcasts
Most current quantitative precipitation nowcasting (QPN) methodologies are deterministic in nature and convey little realistic information regarding the uncertainty in the forecast. For flood and streamflow forecasting applications it is important to understand and accurately represent this uncertainty (Smith and Austin, 2000). This will allow a greater deal of confidence in the use of precipit...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Hydrology and Earth System Sciences
سال: 2005
ISSN: 1607-7938
DOI: 10.5194/hess-9-322-2005