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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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Daouda Konate, Sacre Regis Didi, Kouakou Bernard Dje, Arona Diedhiou, Kouakou Lazare Kouassi, Bamory Kamagate, Jean-Emmanuel Paturel, Houebagnon Saint Jean-Patrick Coulibaly, Claude Alain Koffi Kouadio and Talnan Jean Honoré Coulibaly
This study evaluates how the characteristics of daily rainfall and extreme events in Côte d?Ivoire changed during 1961?2015 using the rain gauge observation network of the National Meteorological Service (SODEXAM). The results indicate that the northern ...
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Radoslaw Drozdziol and Damian Absalon
The paper compares precipitation measurements from the Stratus manual rain gauge from the CoCoRaHS network and two Davis Vantage Vue and Davis Vantage Pro 2A rain gauges with the Hellmann rain gauge. Comparative measurements were made on a specially prep...
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Sellaperumal Pazhanivelan, Vellingiri Geethalakshmi, Venkadesh Samykannu, Ramalingam Kumaraperumal, Mrunalini Kancheti, Ragunath Kaliaperumal, Marimuthu Raju and Manoj Kumar Yadav
The prevalence of the frequent water stress conditions at present was found to be more frequent due to increased weather anomalies and climate change scenarios, among other reasons. Periodic drought assessment and subsequent management are essential in e...
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Elton John Robaina da Silva, Camila Nascimento Alves, Priscila Celebrini de Oliveira Campos, Raquel Aparecida Abrahão Costa e Oliveira, Maria Esther Soares Marques, José Carlos Cesar Amorim and Igor Paz
This paper presents a comparison between rain gauge network and weather radar data in Angra dos Reis city, located in the State of Rio de Janeiro (RJ), Brazil. The city has a high incidence of natural disasters, especially associated with heavy rains in ...
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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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Matteo Gentilucci and Gilberto Pambianchi
The reconstruction of daily precipitation data is a much-debated topic of great practical use, especially when weather stations have missing data. Missing data are particularly numerous if rain gauges are poorly maintained by their owner institutions and...
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Mariame Rachdane, El Mahdi El Khalki, Mohamed Elmehdi Saidi, Mohamed Nehmadou, Abdellatif Ahbari and Yves Tramblay
Precipitation is a crucial source of data in hydrological applications for water resources management. However, several regions suffer from limited data from a ground measurement network. Remotely sensed data may provide a viable alternative for these re...
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Diego Di Curzio, Alessia Di Giovanni, Raffaele Lidori, Mario Montopoli and Sergio Rusi
Accurate knowledge of the rain amount is a crucial driver in several hydrometeorological applications. This is especially true in complex orography territories, which are typically impervious, thus, leaving most mountain areas ungauged. Due to their spat...
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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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