Observations and Modeling of Precipitation Extremes and Tropical Cyclones (2nd Edition)

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

Deadline for manuscript submissions: 30 November 2024 | Viewed by 54

Special Issue Editors


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Guest Editor
Department of Civil and Environmental Engineering, Hanyang University, Seoul 04763, Republic of Korea
Interests: climate change; machine learning; drought propagation; rainfall-runoff modeling; climate extremes
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Earth and Space Sciences, Southern University of Science and Technology, Shenzhen 518005, China
Interests: terrestrial and groundwater storage assessment; hydrological and groundwater drought events; climate extremes; machine learning

Special Issue Information

Dear Colleagues,

This Special Issue is a sequel to the first Special Issue entitled “Observations and Modeling of Precipitation Extremes and Tropical Cyclones” (https://www.mdpi.com/journal/atmosphere/special_issues/34ATGG3JZ7), published in Atmosphere in 2024.

Extreme precipitation events have increased in frequency and intensity across many regions of the world due to climate variations. The simulations of climate models has also evidenced that precipitation extremes will intensify in the future in response to a warming climate. Various natural disasters, such as tropical cyclones, flooding, droughts, soil erosion, and landslides, are associated with extreme precipitation events. Anthropogenic forcing has been shown to have contributed to the intensification of precipitation extremes over northern hemisphere land. Therefore, research on extreme precipitation has become a hot topic. Different approaches have been used to model extreme precipitations, such as index analysis, frequency analysis, and spatial trend analysis. These methods use statistical technology to disperse the climatic factors into the related indices to examine the time interval of the recurrence of an extreme event for many years; thus, these methods are very significant to engineering design and planning. Further, the challenge of modeling dynamics needs to be addressed in extreme precipitation analysis. The core aim of this Special Issue is to contribute novel modeling frameworks as well as innovative approaches for extreme precipitation modeling in the field of meteorology and safeguarding water resources under climate change.

Dr. Muhammad Jehanzaib
Dr. Shoaib Ali
Guest Editors

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 100 words) can be sent to the Editorial Office for announcement on this website.

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

  • climate extremes
  • droughts
  • floods
  • non-stationarity
  • climate change
  • anthropocene
  • typhoon
  • extreme events
  • forecasting
  • machine learning
  • frequency analysis
  • statistical modeling

Published Papers

This special issue is now open for submission.
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