Machine Learning‐Based Detection of Weather Fronts and Associated Extreme Precipitation in Historical and Future Climates
Author:
Affiliation:
1. National Center for Atmospheric Research Boulder CO USA
2. ClimateAi San Francisco CA USA
3. North Carolina Institute for Climate Studies North Carolina State University Asheville NC USA
4. University of Maryland College Park MD USA
Funder
Biological and Environmental Research
National Science Foundation
National Oceanic and Atmospheric Administration
Publisher
American Geophysical Union (AGU)
Subject
Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Geophysics
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1029/2022JD037038
Reference83 articles.
1. Seasonal representation of extreme precipitation indices over the United States in CMIP6 present-day simulations
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5. The interplay of internal and forced modes of Hadley Cell expansion: lessons from the global warming hiatus
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