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Clara Hohmann, Gottfried Kirchengast, Sungmin O, Wolfgang Rieger and Ulrich Foelsche
Precipitation is the most important input to hydrological models, and its spatial variability can strongly influence modeled runoff. The highly dense station network WegenerNet (0.5 stations per km2) in southeastern Austria offers the opportunity to stud...
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Matteo Gentilucci, Margherita Bufalini, Fabrizio D?Aprile, Marco Materazzi and Gilberto Pambianchi
In central Italy, particularly in the Umbria-Marche Apennines, there are some complete, high-altitude weather stations, which are very important for assessing the climate in these areas. The mountain weather stations considered in this study were Monte B...
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Yeboah Gyasi-Agyei
Rain gauges continue to be sources of rainfall data despite progress made in precipitation measurements using radar and satellite technology. There has been some work done on assessing the optimum rain gauge network density required for hydrological mode...
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Francesca Cecinati, Antonio M. Moreno-Ródenas, Miguel A. Rico-Ramirez, Marie-claire Ten Veldhuis and Jeroen G. Langeveld
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...
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Ibrahim Seck and Joël Van Baelen
Optimal Quantitative Precipitation Estimation (QPE) of rainfall is crucial to the accuracy of hydrological models, especially over urban catchments. Small-to-medium size towns are often equipped with sparse rain gauge networks that struggle to capture th...
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Paul Muñoz, Rolando Célleri, Jan Feyen
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A laser-optical disdrometer served as reference to assess the absolute percent bias of calculated rainfall intensity using the data of different-resolution tipping-bucket rain gauges classically applied by climatologists and hydrologists in the Andean re...
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Paul Muñoz, Rolando Célleri and Jan Feyen
A laser-optical disdrometer served as reference to assess the absolute percent bias of calculated rainfall intensity using the data of different-resolution tipping-bucket rain gauges classically applied by climatologists and hydrologists in the Andean re...
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Claudine Dieulin, Gil Mahé, Jean-Emmanuel Paturel, Soundouss Ejjiyar, Yves Tramblay, Nathalie Rouché and Bouabid EL Mansouri
The African continent has a very low density of rain gauge stations, and long time-series for recent years are often limited and poorly available. In the context of global change, it is very important to be able to characterize the spatio-temporal variab...
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Apollon Bournas and Evangelos Baltas
In this research work, an analysis is conducted concerning the impact on rainfall-runoff simulations of utilizing rain gauge precipitation measurements against weather radar quantitative precipitation estimates. The study area is the Sarantapotamos river...
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Bellie Sivakumar, Fitsum M. Woldemeskel, Rajendran Vignesh and Vinayakam Jothiprakash
Rainfall data at fine spatial resolutions are often required for various studies in hydrology and water resources. However, such data are not widely available, as their collection is normally expensive and time-consuming. A common practice to obtain fine...
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Laurent Guillaume Courty, Miguel Ángel Rico-Ramirez and Adrián Pedrozo-Acuña
The growth of urban population, combined with an increase of extreme events due to climate change call for a better understanding and representation of urban floods. The uncertainty in rainfall distribution is one of the most important factors that affec...
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Laurent Guillaume Courty, Miguel Ángel Rico-Ramirez and Adrián Pedrozo-Acuña
The growth of urban population, combined with an increase of extreme events due to climate change call for a better understanding and representation of urban floods. The uncertainty in rainfall distribution is one of the most important factors that affec...
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Bolívar Erazo, Luc Bourrel, Frédéric Frappart, Oscar Chimborazo, David Labat, Luis Dominguez-Granda, David Matamoros and Raul Mejia
A dense rain-gauge network within continental Ecuador was used to evaluate the quality of various products of rainfall data over the Pacific slope and coast of Ecuador (EPSC). A cokriging interpolation method is applied to the rain-gauge data yielding a ...
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Bolívar Erazo, Luc Bourrel, Frédéric Frappart, Oscar Chimborazo, David Labat, Luis Dominguez-Granda, David Matamoros and Raul Mejia
A dense rain-gauge network within continental Ecuador was used to evaluate the quality of various products of rainfall data over the Pacific slope and coast of Ecuador (EPSC). A cokriging interpolation method is applied to the rain-gauge data yielding a ...
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