Severe Weather Observations and Meteorology Modeling Development Using Remote Sensing
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Atmospheric Remote Sensing".
Deadline for manuscript submissions: 30 April 2024 | Viewed by 2795
Special Issue Editors
Interests: weather radar; cloud microphysics; severe weather
Interests: cloud precipitation physics; monsoon and typhoon precipitation microphysical characteristics; polarimetric radar data application; quantitative precipitation estimation; numerical forecast of precipitation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Severe weather events such as tornadoes, hurricanes, and thunderstorms pose a significant threat to human life and property. Accurate observations of these events and the ability to forecast them with precision are critical for reducing their impact. Remote sensing technology, including satellite and radar systems, has considerably advanced in recent years, as has our ability to exploit them for process understanding and data assimilation. Their measurements can provide information about the location, intensity, movement, and kinetic and microphysical structures of severe storms, which has greatly improved our ability to understand them. In addition, advances in meteorological modeling have allowed for more accurate and detailed predictions of severe weather events. By combining remote sensing data with meteorological models, researchers can develop highly accurate predictions of severe weather events and provide warnings to those in the path of the storm, which allows a faster response to severe weather events, potentially saving countless lives and reducing the economic impact of these events.
This Special Issue aims to publish studies related to the observation of severe weather using remote sensing, the modeling of severe weather, and particularly the in-depth evaluation, improvement, and development of models based on remote sensing observations such as radars and satellites.
Topics may cover novel instruments and methods for the remote sensing of severe weather, new datasets for severe weather based on observations or modeling, new findings about thermodynamics and/or microphysics, and the application of remote sensing data for the development/improvement of numerical models. Articles may address, but are not limited to, the following topics:
- New radar and satellite technologies;
- Retrieval methods;
- Dynamics;
- Microphysics;
- Numerical model;
- Data assimilation;
- Parameterization.
Dr. Hao Huang
Dr. Xiantong Liu
Dr. Silke Trömel
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. 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.
Keywords
- radar and satellite
- retrieval method
- dynamics
- microphysics
- numerical model
- parameterization
