Advances in Predicting Peak Values in Atmospheric and Air Quality Studies

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Air Quality".

Deadline for manuscript submissions: 16 June 2026 | Viewed by 1071

Special Issue Editor


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Guest Editor
Environmental Research Laboratory, Institute of Nuclear and Radiological Sciences and Technology, Energy and Safety, National Centre for Scientific Research "Demokritos", 15341 Agia Paraskevi, Greece
Interests: wind flow field; dispersion of airborne materials
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Special Issue Information

Dear Colleagues,

The accurate prediction of peak values in atmospheric and air quality studies is essential for understanding extreme environmental events, managing pollution levels, and mitigating climate-related risks. Despite significant advancements in numerical modeling and data analysis, predicting maximum concentrations and extreme fluctuations remains a challenging task due to complex interactions among atmospheric processes.

This Special Issue invites contributions focusing on innovative methodologies for predicting peak values in atmospheric and environmental systems. Topics of interest include, but are not limited to, the following:

  • Novel modeling techniques for extreme value prediction in atmospheric science;
  • Statistical and data-driven approaches for forecasting peak concentrations;
  • Applications of peak value prediction in air pollution monitoring and climate assessments;
  • Integrating measurement data and computational models for improved forecasting;
  • Case studies demonstrating advancements in maximum value prediction in urban and industrial environments.

We welcome both theoretical and applied research that enhances our ability to predict extreme atmospheric conditions, improving understanding of their implications for public health, environmental sustainability, and policy-making.

Dr. George Efthimiou
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Atmosphere is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • air quality
  • air pollution
  • peak

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Published Papers (1 paper)

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Research

15 pages, 2757 KB  
Article
Long Memory Characteristics of Global Temperature Anomalies (1850–2025)
by Luis Alberiko Gil-Alana, Nieves Carmona-González and Ramiro Gil-Serrate
Atmosphere 2026, 17(5), 496; https://doi.org/10.3390/atmos17050496 - 14 May 2026
Viewed by 161
Abstract
The oceans have absorbed most of the excess heat generated by anthropogenic climate change, yet the temporal structure of this warming remains insufficiently understood. This study analyses global temperature anomaly records from polar, tropical, and hemispheric regions over the period January 1850–October 2025, [...] Read more.
The oceans have absorbed most of the excess heat generated by anthropogenic climate change, yet the temporal structure of this warming remains insufficiently understood. This study analyses global temperature anomaly records from polar, tropical, and hemispheric regions over the period January 1850–October 2025, using fractionally integrated time-series methods to characterize long-range dependence and persistent warming. The results reveal statistically significant long memory across all regions, with particularly high persistence in the tropical Atlantic and the eastern North Pacific, as well as robust warming trends in polar and hemispheric aggregates series. These findings indicate that ocean warming is a structurally persistent process with implications for environmental governance. The strong climatic inertia observed suggests that policy frameworks with short planning horizons may underestimate long-term risks, underscoring the need to incorporate long-memory processes into climate risk assessments and the design of mitigation and adaptation strategies. Full article
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