Understanding and Simulating Air–Sea Interactions under Extreme Weather and Climate Conditions (2nd Edition)
A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Meteorology".
Deadline for manuscript submissions: closed (10 July 2024) | Viewed by 13836
Special Issue Editor
Interests: extreme events; ocean–atmosphere interaction; tropical cyclones; ocean waves; sea level; model evaluation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue is a follow-up of the first Special Issue entitled “Understanding and Simulating Air–Sea Interactions under Extreme Weather and Climate Conditions” (https://www.mdpi.com/journal/atmosphere/special_issues/extreme_weather_climate) published in Atmosphere in 2022 and will cover all aspects of extreme weather and climate conditions.
This Special Issue provides a venue for publishing the latest observational analyses and model evaluations (including model development) of the air–sea interaction underpinning extreme weather and climate conditions, on hourly to climatic timescales. The main focus is on extreme weather and climate events, which include but are not limited to synoptic phenomena such as cyclones, intraseasonal phenomena such as the Madden–Julian Oscillation (MJO), seasonal phenomena such as monsoons, and climate phenomena such as the El Niño–Southern Oscillation (ENSO). Research articles on the effects of these extreme events on the oceans, such as sea surface temperature, storm surge, and ocean waves, including oceanic feedbacks to the atmosphere, are also welcome.
This Special Issue collection will highlight recent achievements and address remaining and future challenges in understanding and predicting extreme weather and climate events, including their impacts, associated with air–sea interaction.
Dr. Xiangbo Feng
Guest Editor
Manuscript Submission Information
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Keywords
- air–sea interaction
- atmospheric extremes
- oceanic extremes
- observation analysis
- model evaluation
- synoptic variability
- intraseasonal variability
- climate variability
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