Hydrometeorological Extremes and Its Local Impacts on Human-Environmental Systems
Material type:![Article](/opac-tmpl/lib/famfamfam/AR.png)
- books978-3-0365-3699-6
- 9783036537009
- 9783036536996
- Research & information: general
- Meteorology & climatology
- 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 NiƱo 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
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OPJGU Sonepat- Campus | E-Books Open Access | Available |
Open Access star Unrestricted online access
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.
Creative Commons https://creativecommons.org/licenses/by/4.0/ cc https://creativecommons.org/licenses/by/4.0/
English
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