Special Issue "Typhoon Precipitation and Wind Wave Prediction by Big Data Technology"
Deadline for manuscript submissions: 31 May 2020.

Dear Colleagues,

The Guest Editor is inviting submissions for a Special Issue of Atmosphere on the subject of “Typhoon Precipitation and Wind Wave Prediction by Big Data Technology”.

Typhoons (tropical cyclones) are one of the most destructive types of natural disasters. These severe typhoons drastically affect the land surface and coastal areas through powerful winds and torrential rain. Nowadays, forecasting the behavior of complex typhoon systems has been a broad application domain for big data technology, such as machine learning, deep learning, neural networks, and Hadoop parallel computing. Particularly, predictions regarding rainfall, wind, and wind-wave caused by typhoons provide critical information that can be used for flood control and advanced disaster prevention preparations.

This Special Issue focuses on applications of big data techniques and machine learning methodologies in the field of typhoon precipitation, wind, and wind-wave predictions. Topics of interest for publication include, but are not limited to the following:

Predictions in rainfall, wind, and wind-wave caused by typhoons
Big data technical developments in typhoon-induced problems
Machine learning methodologies in typhoon-induced problems
Deep learning methodologies in typhoon-induced problems
Neural network-based methodologies in typhoon-induced problems
Application of Hadoop framework and parallel computing
Case studies and analyses as well as assessments

Dr. Chih-Chiang Wei
Guest Editor