In urban hydrological models, rainfall is the main input and one of the main sources of uncertainty. To reach sufficient spatial coverage and resolution, the integration of several rainfall data sources, including rain gauges and weather radars, is often necessary. The uncertainty associated with rain gauge measurements is dependent on rainfall intensity and on the characteristics of the devices. Common spatial interpolation methods do not account for rain gauge uncertainty variability. Kriging for Uncertain Data (KUD) allows the handling of the uncertainty of each rain gauge independently, modelling space- and time-variant errors. The applications of KUD to rain gauge interpolation and radar-gauge rainfall merging are studied and compared....
Rain gauge networks provide rainfall measurements with a high degree of accuracy at specific locatio...
Rain gauge networks provide rainfall measurements with a high degree of accuracy at specific locatio...
In this study we develop a method to estimate the spatially averaged rainfall intensity together wit...
In urban hydrological models, rainfall is the main input and one of the main sources of uncertainty....
In urban hydrological models, rainfall is the main input and one of the main sources of uncertainty....
Weather radars have significantly improved our ability to measure and understand rainfall processes,...
<p>Weather radars have significantly improved our ability to measure and understand rainfall<br> pro...
Urban hydrological processes are generally characterised by short response times and therefore rainf...
The optimal temporal resolution for rainfall applications in urban hydrological models depends on di...
In many cases there are only few data from a sparse rain gauge network available, that might not be ...
In this study we develop a method to estimate the spatially averaged rainfall intensity together wit...
The optimal temporal resolution for rainfall applications in urban hydrological models depends on di...
In this study we develop a method to estimate the spatially averaged rainfall intensity together wit...
In quantitative precipitation estimation, prediction and uncertainty quantification are difficult du...
Integrated catchment models are useful decision making tools that can couple urban and natural hydro...
Rain gauge networks provide rainfall measurements with a high degree of accuracy at specific locatio...
Rain gauge networks provide rainfall measurements with a high degree of accuracy at specific locatio...
In this study we develop a method to estimate the spatially averaged rainfall intensity together wit...
In urban hydrological models, rainfall is the main input and one of the main sources of uncertainty....
In urban hydrological models, rainfall is the main input and one of the main sources of uncertainty....
Weather radars have significantly improved our ability to measure and understand rainfall processes,...
<p>Weather radars have significantly improved our ability to measure and understand rainfall<br> pro...
Urban hydrological processes are generally characterised by short response times and therefore rainf...
The optimal temporal resolution for rainfall applications in urban hydrological models depends on di...
In many cases there are only few data from a sparse rain gauge network available, that might not be ...
In this study we develop a method to estimate the spatially averaged rainfall intensity together wit...
The optimal temporal resolution for rainfall applications in urban hydrological models depends on di...
In this study we develop a method to estimate the spatially averaged rainfall intensity together wit...
In quantitative precipitation estimation, prediction and uncertainty quantification are difficult du...
Integrated catchment models are useful decision making tools that can couple urban and natural hydro...
Rain gauge networks provide rainfall measurements with a high degree of accuracy at specific locatio...
Rain gauge networks provide rainfall measurements with a high degree of accuracy at specific locatio...
In this study we develop a method to estimate the spatially averaged rainfall intensity together wit...