Observations and Modeling of Precipitation Extremes and Tropical Cyclones
A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Meteorology".
Deadline for manuscript submissions: 1 May 2024 | Viewed by 6223
Special Issue Editor
Interests: climate change; machine learning; drought propagation; rainfall-runoff modeling; climate extremes
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Extreme precipitation events have increased in frequency and intensity across many regions of the world due to climate variations. The simulations of climate models also evidenced that precipitation extremes will intensify in the future in response to a warming climate. Various natural disasters such as Tropical Cyclones, Flooding, Droughts, Soil Erosion, and Landslides are associated with extreme precipitation events. Anthropogenic forcing has been shown to have contributed to the intensification of precipitation extremes over northern hemisphere land. Therefore, research on extreme precipitation has become a hot topic. Different approaches have been used to model extreme precipitations, such as Index analysis, Frequency analysis, and Spatial trend analysis. These methods use statistical technology to disperse the climatic factors into the related indices to examine the time interval of the recurrence of an extreme event for many years; thus, these methods are very significant to engineering design and planning. Further, the challenge of modeling dynamics needs to be addressed in extreme precipitation analysis. The core aim of this Special Issue is to contribute novel modeling frameworks as well as innovative approaches for extreme precipitation modeling in the field of meteorology and safeguarding water resources under climate change.
Dr. Muhammad Jehanzaib
Guest Editor
Manuscript Submission Information
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Keywords
- climate extremes
- droughts
- floods
- non-stationarity
- climate change
- Anthropocene
- typhoon
- extreme events
- forecasting
- machine learning
- frequency analysis
- statistical modeling
Planned Papers
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Author:Jeff Callaghan
Abstract:In 2021 a US Hurricane (Ida) altered its structure into a deadly rain bearing system as it passed over New York City and nearby New Jersey. The restructuring produced a wind field where the wind flow into the New York region was onshore with the wind direction turning anticyclonic from the 850hPa level up to 500hPa. The resultant extreme rainfall caused many fatalities in this highly populated region. This wind structure is shown to produce extreme rainfall around the globe.