Data Assimilation for Predicting Hurricane, Typhoon and Storm (2nd Edition)
A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Meteorology".
Deadline for manuscript submissions: 30 October 2024 | Viewed by 57
Special Issue Editors
Interests: doppler weather radar data assimilation; satellite remote sensing observation data assimilation; integrated variational hybrid assimilation system development; wind, solar and other renewable energy research
Special Issues, Collections and Topics in MDPI journals
Interests: Satellite remote sensing observation data assimilation; radiance data application for cloud retrievals; ensemble–variational data assimilation; radar data assimilation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue is the second volume in a series of publications dedicated to “Data Assimilation for Predicting Hurricanes, Typhoons, and Storms” (https://www.mdpi.com/journal/atmosphere/special_issues/RE3826D2OM).
Many coastal areas suffer hurricane and typhoon damage, resulting in massive economic losses and sudden mortality. The accurate prediction of tropical cyclone (TC) track and intensity is therefore crucial to protecting life and property in coastal areas. The numerical estimation of tropical cyclones’ intensity, frequency, and track is an active research area. Improvements to TC forecasting can be attributed mainly to improvements in numerical weather prediction (NWP) models but also to more effective data assimilation (DA) approaches that can be optimized based on both the forecast background and observations. It is important to develop data assimilation technologies to enhance the application of multi-source observations. In addition, evaluating the performance of new types of observation facilitates the design of observation networks for regional- and storm-scale numerical models.
We are interested in submissions on any of the topics listed below. Improvements and innovations may cover the NWP of TCs as well as the improvements obtained by applying existing or new types of remote sensing observations. Possible topics include (but are not limited to) ground-based radar, all-sky radiances, atmospheric motion vectors, and airborne reconnaissance mission-collected observations. Manuscripts should clearly illustrate applications and results for the improvement of forecast skills for TC structure prediction, TC track, and intensity. This Special Issue should include the following topics:
- Advancements in remote sensing data assimilation technologies;
- Development of high-spatial-resolution models for TC structure and intensity (RI/RW);
- Development of probabilistic prediction methods for TC;
- Development of verification methods for TC;
- Application of artificial intelligence for numerical models in TC prediction;
- Investigation of new types of observation in numerical models for TC prediction.
Manuscripts may present original research or reviews of the state-of-the-art of the science, thereby providing context for the current research as well as the direction in which modeling and data assimilation for TCs should be moving in the future.
Dr. Feifei Shen
Dr. Dongmei Xu
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
- tropical cyclone
- data assimilation
- radar data
- satellite radiance data
- hybrid systems
