Observations and Modeling of Precipitation Extremes and Tropical Cyclones (2nd Edition)

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Meteorology".

Deadline for manuscript submissions: 30 November 2024 | Viewed by 686

Special Issue Editors


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Guest Editor
Department of Civil and Environmental Engineering, Hanyang University, Seoul 04763, Republic of Korea
Interests: climate change; machine learning; drought propagation; rainfall-runoff modeling; climate extremes
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Guest Editor
Department of Earth and Space Sciences, Southern University of Science and Technology, Shenzhen 518005, China
Interests: terrestrial and groundwater storage assessment; hydrological and groundwater drought events; climate extremes; machine learning

Special Issue Information

Dear Colleagues,

This Special Issue is a sequel to the first Special Issue entitled “Observations and Modeling of Precipitation Extremes and Tropical Cyclones” (https://www.mdpi.com/journal/atmosphere/special_issues/34ATGG3JZ7), published in Atmosphere in 2024.

Extreme precipitation events have increased in frequency and intensity across many regions of the world due to climate variations. The simulations of climate models has 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
Dr. Shoaib Ali
Guest Editors

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Keywords

  • climate extremes
  • droughts
  • floods
  • non-stationarity
  • climate change
  • anthropocene
  • typhoon
  • extreme events
  • forecasting
  • machine learning
  • frequency analysis
  • statistical modeling

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Published Papers (1 paper)

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Research

16 pages, 31264 KiB  
Article
Spatiotemporal Variation Characteristics of Extreme Precipitation in Henan Province Based on RClimDex Model
by Zhijia Gu, Yuemei Li, Mengchen Qin, Keke Ji, Qiang Yi, Panying Li and Detai Feng
Atmosphere 2024, 15(11), 1399; https://doi.org/10.3390/atmos15111399 - 20 Nov 2024
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Abstract
Global warming has led to an increasing frequency and intensity of extreme precipitation events worldwide. The extreme precipitation of Henan Province in central China usually occurs in summer, with the climate transition from the northern subtropical to the warm temperate climate. Compared with [...] Read more.
Global warming has led to an increasing frequency and intensity of extreme precipitation events worldwide. The extreme precipitation of Henan Province in central China usually occurs in summer, with the climate transition from the northern subtropical to the warm temperate climate. Compared with the study of extreme precipitation events in other regions, the study of Henan Province pays less attention. In order to systematically understand the spatial and temporal characteristics of extreme precipitation in Henan Province, this study applied RClimDex model to obtain nine extreme precipitation indices based on daily precipitation data from 90 meteorological stations from 1981 to 2020. Linear propensity estimation, M-K mutation test, Morlet wavelet analysis, and geostatistical analysis were used to investigate the spatial and temporal variation characteristics of the extreme precipitation indices in the region. The results indicated that continuous dry days (CDD), number of heavy rain days (R20mm), maximum daily precipitation (Rx1day), maximum precipitation for 5 consecutive days (Rx5day), and precipitation intensity (SDII) showed an overall increasing trend, but none passed the significance test (p > 0.01). Extremely strong precipitation (R99p) and Rx5day changed abruptly in 1994, and Rx1day and SDII changed abruptly in 2004. The seven extreme precipitation indices, except CDD and continuous wet days (CWD), had a 30-year cyclical pattern. The multi-year average of extreme precipitation indices showed that the CDD gradually decreased from north to south, CWD and R20mm gradually increased from north to south. Rx1day and Rx5day gradually increased from northwest to southeast, and SDII increased from west to east. The results can contribute valuable insights to extreme precipitation trends and future climate predictions in Henan Province and provide scientific support for coping with extreme precipitation changes and disaster prevention. Full article
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