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Yuting Jin, Shuguang Liu, Zhengzheng Zhou, Qi Zhuang and Min Liu
Given the fact that the high frequency of extreme weather events globally, in particular typhoons, has more of an influence on flood forecasting, there is a great need to further understand the impact of typhoon events on design storms. The main objectiv...
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Nitesh Awasthi, Jayant Nath Tripathi, George P. Petropoulos, Pradeep Kumar, Abhay Kumar Singh, Kailas Kamaji Dakhore, Kripan Ghosh, Dileep Kumar Gupta, Prashant K. Srivastava, Kleomenis Kalogeropoulos, Sartajvir Singh and Dhiraj Kumar Singh
This study involved an investigation of the long-term seasonal rainfall patterns in central India at the district level during the period from 1991 to 2020, including various aspects such as the spatiotemporal seasonal trend of rainfall patterns, rainfal...
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Hamid Darabi, Ali Danandeh Mehr, Gülsen Kum, Mehmet Emin Sönmez, Cristina Alina Dumitrache, Khadija Diani, Ahmet Celebi and Ali Torabi Haghighi
This study examined the spatiotemporal climate variability over the Ceyhan River basin in Southern Anatolia, Türkiye using historical rainfall and temperature observations recorded at 15 meteorology stations. Various statistical and geostatistical techni...
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Jiahao Li, Lingli Fan, Xuzhe Chen, Chunqiao Lin, Luchi Song and Jianjun Xu
Analyzing and forecasting the Indian Summer Monsoon Rainfall (ISMR) is vital for South Asia?s socio-economic stability. Using 35 climate models from the latest generation of the Coupled Model Intercomparison Project (CMIP6) to simulate and project ISMR, ...
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Muhammad Faisal Hanif, Muhammad Raza Ul Mustafa, Muhammad Usman Liaqat, Ahmad Mustafa Hashim and Khamaruzaman Wan Yusof
This study aimed to examine the spatiotemporal seasonal and annual trends of rainfall indices in Perak, Malaysia, during the last 35 years, as any seasonal or spatial variability in rainfall may influence the regional hydrological cycle and water resourc...
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Uruvitiya Gamage Dilaj Maduranga, Mahesh Edirisinghe, Niranga Alahacoon and Manjula Ranagalage
This study is oriented towards the investigation of the spatiotemporal variability of the lightning activity over the railway network in Sri Lanka using -lightning data from 1998 to 2014 that were downloaded from the database of Lightning Imaging Sensor ...
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Enrique Morales-Acuña, Jean R. Linero-Cueto and Fausto A. Canales
Adequate water resources management includes understanding patterns and spatiotemporal variability of precipitation, as this variable is determinant for ecosystems? stability, food security, and most human activities. Based on satellite estimations valid...
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Festo Richard Silungwe, Frieder Graef, Sonoko Dorothea Bellingrath-Kimura, Siza Donald Tumbo, Frederick Cassian Kahimba and Marcos Alberto Lana
Establishing food security in sub-Saharan African countries requires a comprehensive and high resolution understanding of the driving factors of crop production. Poor soil and adverse climate conditions are among the major drivers of poor regional crop p...
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Marcos Ronielly Silva Santos,Maria Isabel Vitorino,Luci Cajueiro Carneiro Pereira
Reliable data on the spatiotemporal variability in precipitation patterns are vital to the development of effective public policies for environmental management. The analysis of the variation in rainfall rates is currently limited severely by the depende...
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Qingfang Hu, Zhe Li, Leizhi Wang, Yong Huang, Yintang Wang and Lingjie Li
Rainfall is one of the most basic meteorological and hydrological elements. Quantitative rainfall estimation has always been a common concern in many fields of research and practice, such as meteorology, hydrology, and environment, as well as being one o...
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