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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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Jiayue Gu, Shuguang Liu, Zhengzheng Zhou, Sergey R. Chalov and Qi Zhuang
The prediction of monthly rainfall is greatly beneficial for water resources management and flood control projects. Machine learning (ML) techniques, as an increasingly popular approach, have been applied in diverse climatic regions, showing their respec...
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Guillaume Fortin,Deise Fabiana Ely,Sheika Henry
In recent decades the Northeast of Brazil experienced several episodes of intense droughts while other regions were affected by heavy rainfall events that caused severe flooding. The variability of temperature and precipitation in Brazil are associated w...
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Teresita Canchala, Wilfredo Alfonso-Morales, Wilmar Loaiza Cerón, Yesid Carvajal-Escobar and Eduardo Caicedo-Bravo
Given that the analysis of past monthly rainfall variability is highly relevant for the adequate management of water resources, the relationship between the climate-oceanographic indices, and the variability of monthly rainfall in Southwestern Colombia a...
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Taereem Kim, Ju-Young Shin, Hanbeen Kim, Sunghun Kim and Jun-Haeng Heo
Climate variability is strongly influencing hydrological processes under complex weather conditions, and it should be considered to forecast reservoir inflow for efficient dam operation strategies. Large-scale climate indices can provide potential inform...
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Andualem Shiferaw, Tsegaye Tadesse, Clinton Rowe and Robert Oglesby
This study first assesses the performance of regional climate models in the Coordinated Regional Climate Downscaling Experiment (CORDEX) in reproducing observed extreme precipitation indices over the Greater Horn of Africa (GHA) region during 1989?2005. ...
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Jue Lin-Ye, Manuel García-León, Vicente Gràcia, M. Isabel Ortego, Adrian Stanica and Agustín Sánchez-Arcilla
The characterization of future wave-storms and their relationship to large-scale climate can provide useful information for environmental or urban planning at coastal areas. A hybrid methodology (process-based and statistical) was used to characterize th...
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Elsa Moreira, Ana Russo and Ricardo M. Trigo
Drought class transitions over a sector of Eastern Europe were modeled using log-linear models. These drought class transitions were computed from time series of two widely used multiscale drought indices, the Standardized Preipitation Evapotranspiration...
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Wei Wei, Zhongjie Shi, Xiaohui Yang, Zheng Wei, Yanshu Liu, Zhiyong Zhang, Genbatu Ge, Xiao Zhang, Hao Guo, Kebin Zhang and Baitian Wang
Based on the daily precipitation data from 53 meteorological stations, 11 extreme precipitation indices were selected, categorized and calculated; the temporal and spatial patterns in these indices and their teleconnections with the large-scale circulati...
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Kathrin Einzmann, Markus Immitzer, Sebastian Böck, Oliver Bauer, Andreas Schmitt and Clement Atzberger
With climate change, extreme storms are expected to occur more frequently. These storms can cause severe forest damage, provoking direct and indirect economic losses for forestry. To minimize economic losses, the windthrow areas need to be detected fast ...
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