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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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Francesca Cecinati, Arie C. De Niet, Kasia Sawicka and Miguel A. Rico-Ramirez
The optimal temporal resolution for rainfall applications in urban hydrological models depends on different factors. Accumulations are often used to reduce uncertainty, while a sufficiently fine resolution is needed to capture the variability of the urba...
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Francesca Cecinati, Arie C. de Niet, Kasia Sawicka, Miguel A. Rico-Ramirez
Pág. 1 - 25
The optimal temporal resolution for rainfall applications in urban hydrological models depends on different factors. Accumulations are often used to reduce uncertainty, while a sufficiently fine resolution is needed to capture the variability of the urba...
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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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Md Abul Ehsan Bhuiyan, Feifei Yang, Nishan Kumar Biswas, Saiful Haque Rahat and Tahneen Jahan Neelam
The Integrated Multisatellite Retrievals for Global Precipitation Measurement (GPM) (IMERG) Level 3 estimates rainfall from passive microwave sensors onboard satellites that are associated with several uncertainty sources such as sensor calibration, retr...
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Dongxiao Yin, Z. George Xue, David J. Gochis, Wei Yu, Mirce Morales and Arezoo Rafieeinasab
A soil erosion and sediment transport model (WRF-Hydro-Sed) is introduced to WRF-Hydro. As a process-based, fully distributed soil erosion model, WRF-Hydro-Sed accounts for both overland and channel processes. Model performance is evaluated using observe...
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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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Nuaman Ejaz, Aftab Haider Khan, Muhammad Shahid, Kifayat Zaman, Khaled S. Balkhair, Khalid Mohammed Alghamdi, Khalil Ur Rahman and Songhao Shang
Satellite precipitation products (SPPs) are undeniably subject to uncertainty due to retrieval algorithms and sampling issues. Many research efforts have concentrated on merging SPPs to create high-quality merged precipitation datasets (MPDs) in order to...
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Jian Liu, Yanyan Li, Yuankun Wang and Pengcheng Xu
The nonstationary characteristics caused by significant variation in hydrometeorological series in the context of climate change inevitably have a certain impact on the selection of an optimal gauging network. This study proposes an entropy-based, multi-...
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Peshawa M. Najmaddin, Mick J. Whelan and Heiko Balzter
Rainfall-runoff modelling is a useful tool for water resources management. This study presents a simple daily rainfall-runoff model, based on the water balance equation, which we apply to the 11,630 km2 Lesser Zab catchment in northeast Iraq. ...
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D. J. GOCHIS,S. W. NESBITT,W. YU,S. F. WILLIAMS
Satellite-based quantitative precipitation estimates (QPE) offer the potential for global, near real-time monitoring of precipitation. Provided their accuracy, in terms of frequency and intensity structures, can be verified, such products would prove...
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