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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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Giovanna Grossi, Amerigo Lendvai, Giovanni Peretti, Roberto Ranzi
Pág. 1 - 14
Precipitation measurements by rain gauges are usually affected by a systematic underestimation, which can be larger in case of snowfall. The wind, disturbing the trajectory of the falling water droplets or snowflakes above the rain gauge, is the major so...
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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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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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Mayra Codo and Miguel A. Rico-Ramirez
Radar rainfall forecasting is of major importance to predict flows in the sewer system to enhance early flood warning systems in urban areas. In this context, reducing radar rainfall estimation uncertainties can improve rainfall forecasts. This study uti...
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Surabhi Upadhyay, Priya Silwal, Rajaram Prajapati, Rocky Talchabhadel, Sandesh Shrestha, Sudeep Duwal and Hanik Lakhe
High spatio-temporal resolution and accurate long-term rainfall estimates are critical in sustainable water resource planning and management, assessment of climate variability and extremes, and hydro-meteorology-related water system decisions. The recent...
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Qin Jiang, Weiyue Li, Jiahong Wen, Can Qiu, Weiwei Sun, Qilin Fang, Ming Xu and Jianguo Tan
Satellite-based rainfall products have extensive applications in global change studies, but they are known to contain deviations that require comprehensive verification at different scales. In this paper, we evaluated the accuracies of two high-resolutio...
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Andrés G. Vallejos,Samuel A. Ancalle,Ana C. Escalera,Oliver C. Saavedra
Monitoring spatial precipitation at high resolution is a crucial variable in semi-arid regions like Cochabamba city. However, limitations regarding the number, quality and uniform distribution of operating rain gauges inside the basin?s area, lead us to ...
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S. G. NARKHEDKAR,S. K. SINHA,P. MUKHOPADHYAY
The aim of this paper is to describe the technique used to create the merged analysis of rainfall over the Indian and adjoining region (1.5º to 35.5º N and 63.5º to 97.5º E). The technique is tested for monthly gridded fields of rainfall for a 2-year mon...
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B. MÉNDEZ ANTONIO,R. B. DA SILVEIRA,E. CAETANO,V. MAGAÑA,R. DOMÍNGUEZ
In México, there is a network of 12 meteorological radars to monitor intense convective systems. Data from Cerro de la Catedral Doppler radar, 40 km northwest of México City, have been used to obtain precipitation rates estimates during intense precip...
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