Topic Editors
Application of Artificial Intelligence in Extreme Weather Monitoring and Forecasting
Topic Information
Dear Colleagues,
Severe weather events such as typhoons, rainstorms, tornadoes, and hailstorms pose severe threats to human lives, ecological environments, and socioeconomic development, making accurate monitoring and timely forecasting an urgent research priority. Remote sensing technology, with its advantages of large-scale coverage, real-time dynamic observation, and multi-source data acquisition, has become a core data source for severe weather research, while artificial intelligence (AI) provides an efficient analytical framework for mining the complex nonlinear characteristics of remote sensing data. This Topic focuses on the cutting-edge AI applications of remote sensing data in the whole chain of severe weather monitoring and forecasting, including data preprocessing, feature extraction, early warning model construction, and forecast accuracy improvement. We welcome original research papers, review articles, and technical notes that explore novel AI algorithms, multi-source remote sensing data fusion strategies, and practical engineering applications. Studies combining satellite, airborne, and ground-based remote sensing with AI to address key challenges in severe weather prediction are particularly encouraged, aiming to promote the integration of remote sensing and AI technologies and provide scientific support for severe weather disaster prevention and mitigation.
Prof. Dr. Leiming Ma
Prof. Dr. Changjiang Zhang
Dr. Zhaoliang Zeng
Topic Editors
Keywords
- remote sensing
- artificial intelligence
- severe weather monitoring
- weather forecasting
- disaster early warning
- machine learning
Participating Journals
| Journal Name | Impact Factor | CiteScore | Launched Year | First Decision (median) | APC | |
|---|---|---|---|---|---|---|
Climate
|
4.0 | 6.5 | 2013 | 20.8 Days | CHF 1800 | Submit |
Forecasting
|
4.2 | 7.1 | 2019 | 26.3 Days | CHF 1800 | Submit |
Meteorology
|
- | 2.5 | 2022 | 27 Days | CHF 1000 | Submit |
Remote Sensing
|
4.3 | 9.4 | 2009 | 24.3 Days | CHF 2700 | Submit |
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