A review of recent and emerging machine learning applications for climate variability and weather phenomena
Climate variability and weather phenomena can cause extremes and pose significant risk to
society and ecosystems, making continued advances in our physical understanding of such …
society and ecosystems, making continued advances in our physical understanding of such …
Using machine learning to analyze physical causes of climate change: A case study of US Midwest extreme precipitation
FV Davenport, NS Diffenbaugh - Geophysical Research Letters, 2021 - Wiley Online Library
While global warming has generally increased the occurrence of extreme precipitation, the
physical mechanisms by which climate change alters regional and local precipitation …
physical mechanisms by which climate change alters regional and local precipitation …
Climate change attribution and the economic costs of extreme weather events: a study on damages from extreme rainfall and drought
An important and under-quantified facet of the risks associated with human-induced climate
change emerges through extreme weather. In this paper, we present an initial attempt to …
change emerges through extreme weather. In this paper, we present an initial attempt to …
[图书][B] Deep learning for the Earth Sciences: A comprehensive approach to remote sensing, climate science and geosciences
DEEP LEARNING FOR THE EARTH SCIENCES Explore this insightful treatment of deep
learning in the field of earth sciences, from four leading voices Deep learning is a …
learning in the field of earth sciences, from four leading voices Deep learning is a …
Climatology of dark doldrums in Japan
Abstract “Windless and sunless” weather durations, so-called “dark doldrums,” can cause
energy supply disruptions when the penetration of variable renewable energy (wind and …
energy supply disruptions when the penetration of variable renewable energy (wind and …
Drivers of marine heatwaves in the Northwest Atlantic: The role of air–sea interaction during onset and decline
Marine heatwaves (MHWs) are increasing in duration and intensity at a global scale and are
projected to continue to increase due to the anthropogenic warming of the climate. Because …
projected to continue to increase due to the anthropogenic warming of the climate. Because …
Marine heatwaves off eastern Tasmania: Trends, interannual variability, and predictability
Surface waters off eastern Tasmania are a global warming hotspot. Here, mean
temperatures have been rising over several decades at nearly four times the global average …
temperatures have been rising over several decades at nearly four times the global average …
Differences in climate change impacts between weather patterns: possible effects on spatial heterogeneous changes in future extreme rainfall
M Ohba, S Sugimoto - Climate Dynamics, 2019 - Springer
The impacts of global warming/climate change on extreme rainfall events during the Baiu
period in Japan and their dependency on weather patterns (WPs) were examined using the …
period in Japan and their dependency on weather patterns (WPs) were examined using the …
[HTML][HTML] Ridging associated with drought across the western and southwestern United States: Characteristics, trends, and predictability sources
Ridging Associated with Drought across the Western and Southwestern United States:
Characteristics, Trends, and Predictability Sources in: Journal of Climate Volume 33 Issue 7 …
Characteristics, Trends, and Predictability Sources in: Journal of Climate Volume 33 Issue 7 …
Impacts of climate change on heavy wet snowfall in Japan
M Ohba, S Sugimoto - Climate Dynamics, 2020 - Springer
Wet snow is a primary cause of atmospheric icing, which can lead to severe damage to
power towers and lines, resulting in electrical breakdowns and blackouts. This study …
power towers and lines, resulting in electrical breakdowns and blackouts. This study …