The South China Sea (SCS) is the linkage between the western Pacific Ocean and the Indian Ocean. Its weather/climate variations are regarded as an important factor influencing social and economic development. The SCS and its surrounding regions suffer from various weather disasters (e.g., typhoons, extreme rainfall, sea fog, severe convection, tornado, and wind hazards), which are serious threats to life and property. As such, accurate nowcasting is life-critical in this area. However, it is still a worldwide challenge to improve the forecast accuracy due to less understanding of the formation mechanism, evolution pattern, internal structure, and physical processes.
As a dominant physical process, the ocean-atmosphere interaction plays an important role in affecting the weather/climate system and disasters over the SCS and surrounding regions, particularly vertical mixing between the interface of ocean and atmosphere. This research topic aims to provide an in-depth understanding of the physical processes related to these disasters, applications of data assimilation, and the development of forecasting techniques, which are essential to enhance disaster prevention and mitigation capabilities. In addition, in-depth research of these disasters and their impacts could help to uncover the hazard-causing characteristics and establish a corresponding risk assessment system.
In this Research Topic, we welcome contributions of Original Research Articles and Review Articles regarding advances in theories related to weather disasters in the SCS and surrounding regions and techniques in data assimilation and numerical forecasting.
We welcome multidisciplinary and diverse studies that explore themes including but not limited to:
• Climatology, interannual variability
• Observational and modeling studies on disasters, such as typhoon track and intensity, extreme rainfall, sea fog, storm, wind hazards
• The role of ocean-atmosphere interaction, land-atmosphere interaction in the formation, the evolution of these disasters
• Advances in data assimilation, forecasting techniques, and forecast evaluation
• AI-based nowcasting and NWP bias-correction over the South China Sea
The South China Sea (SCS) is the linkage between the western Pacific Ocean and the Indian Ocean. Its weather/climate variations are regarded as an important factor influencing social and economic development. The SCS and its surrounding regions suffer from various weather disasters (e.g., typhoons, extreme rainfall, sea fog, severe convection, tornado, and wind hazards), which are serious threats to life and property. As such, accurate nowcasting is life-critical in this area. However, it is still a worldwide challenge to improve the forecast accuracy due to less understanding of the formation mechanism, evolution pattern, internal structure, and physical processes.
As a dominant physical process, the ocean-atmosphere interaction plays an important role in affecting the weather/climate system and disasters over the SCS and surrounding regions, particularly vertical mixing between the interface of ocean and atmosphere. This research topic aims to provide an in-depth understanding of the physical processes related to these disasters, applications of data assimilation, and the development of forecasting techniques, which are essential to enhance disaster prevention and mitigation capabilities. In addition, in-depth research of these disasters and their impacts could help to uncover the hazard-causing characteristics and establish a corresponding risk assessment system.
In this Research Topic, we welcome contributions of Original Research Articles and Review Articles regarding advances in theories related to weather disasters in the SCS and surrounding regions and techniques in data assimilation and numerical forecasting.
We welcome multidisciplinary and diverse studies that explore themes including but not limited to:
• Climatology, interannual variability
• Observational and modeling studies on disasters, such as typhoon track and intensity, extreme rainfall, sea fog, storm, wind hazards
• The role of ocean-atmosphere interaction, land-atmosphere interaction in the formation, the evolution of these disasters
• Advances in data assimilation, forecasting techniques, and forecast evaluation
• AI-based nowcasting and NWP bias-correction over the South China Sea
