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Feb 22, 2018 · Here, we review 10 years of academic literature and use text analysis to elucidate how six major disciplines—climatology, earth sciences, ecology, engineering, hydrology, and social sciences—define and communicate extreme events. Our results highlight critical disciplinary differences in the language used to communicate extreme events.
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definition of extreme events. These characteristics included...
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Extreme environments pose serious danger to human well-being and even survival, an effect that can be exacerbated if the environment is novel (unusual) either to the individual or compared with “normal” environments.
Feb 22, 2018 · Here, we review 10 years of academic literature and use text analysis to elucidate how six major disciplines--climatology, earth sciences, ecology, engineering, hydrology, and social...
Sep 6, 2017 · The main objectives are to improve short-term forecasts of extreme marine events that threaten coastal communities and marine activities such as shipping and oil and gas installations; to estimate the frequency of extreme marine events over the coming decades with realistic measures of uncertainty; present the results in a way that is useful ...
Aug 16, 2020 · Extreme science is likely to embrace heterogeneity of data and information (e.g., times series, text, longitudinal images), different scales, and go as far as incorporating alternative inputs and different forms of output (e.g., dynamic graphs, virtual reality).
- Andrew Kusiak
- 10.1007/s10845-020-01643-5
- 2020
- J Intell Manuf. 2020; 31(7): 1607-1610.
Mar 20, 2019 · Recent scientific advances have enabled researchers to confidently say that the increased intensity and frequency of some, but not all, of these extreme weather events is influenced by human-induced climate change (National Academies of Sciences, Engineering, and Medicine 2016).
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May 29, 2020 · Integrate data-driven and process-based models for better attribution and prediction of extreme events, including hybrid science-based deep learning approaches. Identify and develop approaches for reducing complexity of interactions for understanding extreme events (e.g., Figure 5).
