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Luis Alberto Vargas-León and Juan Diego Giraldo-Osorio
In this work, the influence of the El Niño Southern Oscillation (ENSO) on the Extreme Precipitation Indices (EPIs) was analyzed, and these ENSO-forced anomalies were compared with the long-term change in the EPIs. The annual time series of the EPIs were ...
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Gamil Gamal, Pavol Nejedlik and Ahmed M. El Kenawy
Understanding long-term variations in precipitation is crucial for identifying the effects of climate change and addressing hydrological and water management issues. This study examined the trends of the mean and four extreme precipitation indices, which...
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Anna A. Stefanovich, Elena N. Voskresenskaya and Veronika N. Maslova
The tourist and recreational conditions of the Mediterranean-Black Sea resorts are closely related to hydrometeorological anomalies, which in turn are largely associated with the North Atlantic climate. The aim of this paper was to study the change and v...
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Muhammad Umer Masood, Saif Haider, Muhammad Rashid, Muhammad Usama Khan Lodhi, Chaitanya B. Pande, Fahad Alshehri, Kaywan Othman Ahmed, Miklas Scholz and Saad Sh. Sammen
The El Nino Southern Oscillation (ENSO) phenomenon is devastating as it negatively impacts global climatic conditions, which can cause extreme events, including floods and droughts, which are harmful to the region?s economy. Pakistan is also considered o...
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Kevin Cresswell, Diana Mitsova, Weibo Liu, Maria Fadiman and Tobin Hindle
Urbanization and warming climate suggest that health impacts from extreme heat will increase in cities, thus locating vulnerable populations is pivotal. However, heat vulnerability indices (HVI) overwhelmingly interpret one model that may be inaccurate o...
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Yanxi Zhao, Dengpan Xiao, Huizi Bai, Jianzhao Tang, De Li Liu, Yongqing Qi and Yanjun Shen
The accuracy prediction for the crop yield is conducive to the food security in regions and/or nations. To some extent, the prediction model for crop yields combining the crop mechanism model with statistical regression model (SRM) can improve the timeli...
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Shirong Cai, Kunlong Niu, Xiaolin Mu, Xiankun Yang and Francesco Pirotti
Precipitation is a key component of the hydrological cycle and one of the important indicators of climate change. Due to climate change, extreme precipitation events have globally and regionally increased in frequency and intensity, leading to a higher p...
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Binita Ghimire, Gehendra Kharel, Esayas Gebremichael and Linyin Cheng
Extreme precipitation has become more frequent and intense with time and space. Infrastructure design tools such as Intensity-Duration-Frequency (IDF) curves still rely on historical precipitation and stationary assumptions, risking current and future ur...
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Lucy Giráldez, Yamina Silva, José L. Flores-Rojas and Grace Trasmonte
The most extreme precipitation event in Metropolitan Lima (ML) occurred on 15 January 1970 (16 mm), this event caused serious damage, and the real vulnerability of this city was evidenced; the population is still not prepared to resist events of this nat...
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Hanbeen Kim, Taereem Kim, Ju-Young Shin and Jun-Haeng Heo
Extreme value modeling for extreme rainfall is one of the most important processes in the field of hydrology. For the improvement of extreme value modeling and its physical meaning, large-scale climate modes have been widely used as covariates of distrib...
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