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Special Issue "Remote Sensing for High Impact Weather and Extremes"

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Atmospheric Remote Sensing".

Deadline for manuscript submissions: 25 March 2024 | Viewed by 72

Special Issue Editor

Department of Atmospheric Sciences, College of Science, University of Utah, Salt Lake City, UT, USA
Interests: high-impact weather and extremes; numerical weather prediction; satellite and radar data assimilation; land-atmosphere interaction and coupled land-atmosphere data assimilation; hurricanes and tropical convection; big data, artificial intelligence, and machine learning

Special Issue Information

Dear Colleagues,

Extreme weather in the form of hurricanes, tornadoes, floods, droughts, heatwaves, and heavy precipitation can result in the destruction of infrastructure, disruption of essential services, and economic losses. Understanding these events and effectively monitoring them are crucial for disaster preparedness, early warning systems, and the development of strategies to mitigate their impacts. Remote sensing plays a vital role in the study of this high-impact weather. It involves the use of satellites, airborne platforms, and ground-based instruments to collect data about the Earth’s atmosphere and surface. Remote sensing data provide valuable information on atmospheric conditions, precipitation patterns, cloud dynamics, and other parameters relevant to high-impact weather phenomena.

To this end, this Special Issue invites submissions of original research, reviews, methodology papers, and case studies that demonstrate the application of remote sensing methods to monitor and predict high-impact weather. The scope of this Special Issue includes, but is not limited to, the following topics:

  • Advanced remote sensing techniques for detecting and tracking severe weather events, such as tropical cyclones, thunderstorms, and severe precipitation;
  • Integration of multi-source remote sensing data for improving weather forecasting and warning systems;
  • Assimilation of remote sensing data for improved numerical prediction of extreme weather;
  • Use of remote sensing for assessing the impacts of extreme weather on the environment and society;
  • Development of new models and algorithms for processing large-scale, high-resolution remote sensing data relevant to severe weather;
  • Evaluation of remote sensing data quality and uncertainty in impact weather studies.

Prof. Dr. Zhaoxia Pu
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at 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. Remote Sensing is an international peer-reviewed open access semimonthly 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 2700 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.


  • remote sensing
  • high impact weather
  • extreme events
  • satellite
  • weather forecasting
  • natural hazards

Published Papers

This special issue is now open for submission.
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