Novel Approaches to Predict Extreme Events in Atmospheric Flows: From Turbulence to Climate
A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Meteorology".
Deadline for manuscript submissions: closed (30 April 2026) | Viewed by 2193
Special Issue Editor
Special Issue Information
Dear Colleagues,
In the current era, extremes hold a very special place, especially in the context of atmospheric science. To make research more challenging, extremes in meteorological variables have multiscale natures with different physical origins. For instance, at turbulent scales, the extreme events in wind components and scalar concentrations (temperature, greenhouse gases) are related to intermittency, a phenomenon that introduces significant challenges in turbulence parameterizations. This eventually has an impact on predictions of pollution concentrations, wind gusts, and turbulent fluxes over complex landscapes. On the other hand, at climate scales, the occurrences of extreme events (e.g., droughts, wildfires) are linked to different climatic phenomena, such as ENSO, volcanic eruptions, etc. However, with increasing global temperature, these events have risen in frequency at an unprecedented rate, with catastrophic consequences.
Despite their importance, the chaotic dynamics of atmospheric flows impose significant uncertainties regarding how the future intensities and spatial distributions of climatic extremes will vary. At the opposite end of the spectrum, the detection of extremes in turbulent variables continues to be an active area of research. Therefore, to make progress towards these issues, we encourage submissions that propose novel approaches (both theoretical and experimental) to diagnose extremes spanning across scales from turbulence to the climate. In this Special Issue, we invite submissions on topics that include, but are not limited to, the following:
- Statistical models to predict extreme events across multiple scales.
- Novel theoretical and experimental approaches to detect extreme events.
- The impacts of extremes on ecosystem greenhouse gas exchanges.
- Assessments of artificial intelligence/machine learning approaches in extreme event predictions.
Dr. Subharthi Chowdhuri
Guest Editor
Manuscript Submission Information
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Keywords
- atmospheric flows
- climate extremes
- boundary layer meteorology
- fire–turbulence interactions
- precipitation
- extremes in turbulent flows
- artificial intelligence/machine learning approaches
- non-linear dynamics
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