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Devendra M. Amatya, Timothy J. Callahan, Sourav Mukherjee, Charles A. Harrison, Carl C. Trettin, Andrzej Walega, Dariusz Mlynski and Kristen D. Emmett
Hydrology and meteorological data from relatively undisturbed watersheds aid in identifying effects on ecosystem services, tracking hydroclimatic trends, and reducing model uncertainties. Sustainable forest, water, and infrastructure management depends o...
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Nunziarita Palazzolo, David J. Peres, Brunella Bonaccorso and Antonino Cancelliere
Assessing and monitoring the spatial extent of drought is of key importance to forecasting the future evolution of drought conditions and taking timely preventive and mitigation measures. A commonly used approach in regional drought analysis involves spa...
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Katleho Makatjane and Tshepiso Tsoku
This study aims to overcome the problem of dimensionality, accurate estimation, and forecasting Value-at-Risk (VaR) and Expected Shortfall (ES) uncertainty intervals in high frequency data. A Bayesian bootstrapping and backtest density forecasts, which a...
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Dominic Lagrois, Tyler R. Bonnell, Ankita Shukla and Clément Chion
Agent-based models return spatiotemporal information used to process time series of specific parameters for specific individuals called ?agents?. For complex, advanced and detailed models, this typically comes at the expense of high computing times and r...
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Chang Liu, Yan Jia, Yaprak Onat, Alejandro Cifuentes-Lorenzen, Amin Ilia, Grant McCardell, Todd Fake and James O?Donnell
Accurately estimating the probability of storm surge occurrences is necessary for flood risk assessments. This research models Long Island Sound using a coupled coastal circulation and wave model (FVCOM-SWAVE) to hindcast the 44 highest storms between 19...
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Carlos Antunes, Carolina Rocha and Cristina Catita
Portugal?s mainland has hundreds of thousands of people living in the Atlantic coastal zone, with numerous high economic value activities and a high number of infrastructures that must be adapted and protected from natural coastal hazards, namely, extrem...
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Justin L. Hart and Jonathan S. Kleinman
The classification of discrete forest disturbance events is usually based on the spatial extent, magnitude, and frequency of the disturbance. Based on these characteristics, disturbances are placed into one of three broad categories, gap-scale, intermedi...
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Shiyu Mou, Peng Shi, Simin Qu, Xiaomin Ji, Lanlan Zhao, Ying Feng, Chen Chen and Fengcheng Dong
The issue of regional design flood composition should be considered when it comes to the analysis of multiple sections. However, the uncertainty accompanied in the process of regional design flood composition point identification is often overlooked in t...
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Francesco De Paola, Maurizio Giugni, Francesco Pugliese, Antonio Annis and Fernando Nardi
Nowadays, increased flood risk is recognized as one of the most significant threats in most parts of the world, with recurring severe flooding events causing significant property and human life losses. This has entailed public debates on both the apparen...
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Ariadi Hazmi, Primas Emeraldi, Muhammad Imran Hamid, Nobuyuki Takagi and Daohong Wang
The characteristics of 77 electric field changes of positive cloud to ground (CG) flashes in the tropics of Indonesia were investigated. It was found that the arithmetic mean (AM) and geometric mean (GM) values for 0%?100% and 10%?90% rise time were 12.7...
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