| Home  | About ScienceAsia  | Publication charge  | Advertise with us  | Subscription for printed version  | Contact us  
Editorial Board
Journal Policy
Instructions for Authors
Online submission
Author Login
Reviewer Login
Volume 48 Number 5
Volume 48 Number 4
Volume 48 Number 3
Volume 48 Number 2
Volume 48S Number 1
Volume 48 Number 1
Earlier issues
Volume 47 Number 4 Volume 47 Number 5

previous article next article

Research articles

ScienceAsia 47 (2021): 478-485 |doi: 10.2306/scienceasia1513-1874.2021.051

Extreme high temperature events in the Northwest Pacific under global warming

Zhiwei Chena,*, Jiancheng Kangb, Guodong Wangc

ABSTRACT:     Variation characteristics of the extreme high temperature events and their relationship with El Ni?oSouthern Oscillation (ENSO) in the Northwest Pacific were analyzed, utilizing the National Oceanic and Atmospheric Administration (NOAA) Daily Sea Surface Temperature (SST) Analysis Data during 1982?2014. The results indicated that extreme high temperature events mainly occurred during the months of June to October, and the frequency of such events was increasing, i.e. the number of days of extreme high temperature events and the duration of single extreme high temperature events increased gradually. The extreme high temperature events showed high and low frequency oscillations in the 1?4a and 4?7a cycles, and the main cycle scale was 3?5a. The SST of the Northwest Pacific was linearly related to the intensity of ENSO. In the second half of the year (June to December), the ENSO index of the Nino3.4 areas was significantly and negatively correlated to the extreme high temperatures. This meaned that the extreme high temperature events were likely to occur when the Pacific equatorial cold phase (La Ni?a event) occurred in the ENSO Cycle. The trade wind anomaly over the equatorial Pacific Ocean and the massive air-sea interactions in the ENSO Cycle had an important impact on the extreme high temperature events in the Northwest Pacific. It is hoped that the results obtained from this work will lay the foundation for monitoring and forecasting extreme weather and climate events.

Download PDF

123 Downloads 700 Views

a School of Business, Shanghai Normal University TianHua College, Shanghai 201815 China
b School of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai 200234 China
c Academic Affairs Office, Shanghai Institute of Tourism, Shanghai 201418 China

* Corresponding author, E-mail: 546335462@qq.com

Received 5 Jan 2021, Accepted 31 Mar 2021