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Hydrometeorological Extremes and Its Local Impacts on Human-Environmental Systems

This Special Issue of Atmosphere focuses on hydrometeorological extremes and their local impacts on human–environment systems. Particularly, we accepted submissions on the topics of observational and model-based studies that could provide useful information for infrastructure design, decision making...

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Salvato in:
Natura: Online
Lingua:inglese
Pubblicazione: MDPI - Multidisciplinary Digital Publishing Institute 2022
Soggetti:
flood risk
urban flood forecasting and warning
inland-river combined flood system
LSTM
artificial neural network
neurons
layers
temperature
South Korea
deep learning
reference evapotranspiration
climate change
drought
meteorological extremes
climatic variables
wind speed
extreme El Niño event
tropical cyclone
tropical cyclone-induced precipitation
China
Bayesian approach
nonstationarity
reanalysis products
quantile delta mapping
ranges of flood sizes
specific flood distributions
ungauged watersheds
influence of rainfall characteristics
depth-averaged temperature
decision tree
lifetime maximum intensity
climate variability
seasonality
dengue fever
vector
rainfall
Bangladesh
copula function
drought duration
drought severity
land-ocean temperature contrast/meridional temperature gradient
standardized precipitation evapotranspiration index
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences::RBP Meteorology and climatology
Accesso online:ONIX_20220506_9783036537009_288
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Riassunto:This Special Issue of Atmosphere focuses on hydrometeorological extremes and their local impacts on human–environment systems. Particularly, we accepted submissions on the topics of observational and model-based studies that could provide useful information for infrastructure design, decision making, and policy making to achieve our goals of enhancing the resilience of human–environment systems to climate change and increased variability.

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