Statistical Modelling of Climate Extremes/Extreme Precipitation under Climate Change

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

Deadline for manuscript submissions: closed (30 August 2022) | Viewed by 2026

Special Issue Editors


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1. Key Laboratory of Meteorological Disaster, Ministry of Education (KLME)/Joint International Research Laboratory of Climate and Environment Change (ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC–FEMD)/Institute for Climate and Application Research (ICAR), Nanjing University of Information Science & Technology, Nanjing 210044, China
2. Oceans and Atmosphere, Commonwealth Scientific and Industrial Research Organization(CSIRO), Victoria 3169, Australia
Interests: tropical cyclones, statistical modelling, climate variability, climate extremes and modes—El Nino Southern Oscillation, Quasi Biennial Oscillation, Indian Ocean Dipole etc

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Guest Editor
E3-Complexity Consultant, Sydney NSW 2000, Australia
Interests: tropical meteorology; severe weather; climate dynamics; nonlinear science; numerical analysis and prediction
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Department of Hydraulics & Hydrology, Faculty of Civil Engineering, M46-332, Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia
Interests: water resources ranagement; groundwater hydrology; climate variability and changes; climate change impacts on hydrological processes and water resources; droughts and water scarcity; hydrological data analysis and modeling; and hydrological hazards and risk mapping
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Guest Editor
Department of Ocean Engineering and Naval Architecture, Indian Institute of Technology Kharagpur, Kharagpur 721 302, India
Interests: climate extremes; oceanography

Special Issue Information

Dear Colleagues,

The frequency of heavy precipitation/climate extreme events have increased over time and is projected to increase across the globe under future climate change. Increases in extreme precipitation have contributed to increase severe flooding events in certain regions of the world. Floods and flooding associated with tropical storms result the highest number of deaths. In addition to the immediate health hazards associated with extreme precipitation events when flooding occurs, other hazards can often appear once a storm has passed. At the opposite end of precipitation extremes, drought also poses risks to public health and safety. Drought conditions may increase the environmental exposure to a broad set of health hazards including wildfires, dust storms, extreme heat events, flash flooding, degraded water quality, and reduced water quantity.

This special issue welcomes all those manuscripts presenting-

  • Climate extremes and their impact
  • Extreme precipitation
  • Floods
  • Cyclones and cyclone induced rainfall
  • Drought
  • Role of climate variability and modes—El Nino Southern Oscillation, Indian Ocean Dipole, North Atlantic Oscillation, Arctic Oscillation, Antarctic Oscillation and so on
  • Statistical methods

Dr. MD Wahiduzzaman
Dr. Kevin K.W. Cheung
Dr. Shamsuddin Shahid
Dr. Prasad Kumar Bhaskaran
Guest Editors

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Keywords

  • climate extremes
  • extreme precipitation
  • floods
  • cyclones and cyclone induced rainfall
  • drought

Published Papers (1 paper)

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Research

11 pages, 51860 KiB  
Article
A Kernel Density Estimation Approach and Statistical Generalized Additive Model of Western North Pacific Typhoon Activities
by Xiang Wang, Md Wahiduzzaman and Alea Yeasmin
Atmosphere 2022, 13(7), 1128; https://doi.org/10.3390/atmos13071128 - 17 Jul 2022
Cited by 8 | Viewed by 1372
Abstract
This paper presents a development of a statistical model of typhoon genesis, tracks based on kernel density estimation and a generalized additive model (GAM). Modeling of typhoon activity is ultimately beneficial to the people living in coastal zones, insurance/re-insurance companies, policy, planning and [...] Read more.
This paper presents a development of a statistical model of typhoon genesis, tracks based on kernel density estimation and a generalized additive model (GAM). Modeling of typhoon activity is ultimately beneficial to the people living in coastal zones, insurance/re-insurance companies, policy, planning and decision departments. A 50-year record (1972–2021) of typhoon track observations from the International Best Track Archive Climate Stewardship have been used to observe the distribution of typhoon genesis by kernel density estimation. The tracks are simulated through the development of a GAM. It reproduces the observation well. A distance calculation approach between observed and simulated tracks’ landfall have been used to validate the model and the model shows a very good skill (approximately 75%). Full article
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