Spatiotemporal characteristics of high winds in Jilin Province during 1982–2021

Author:

Wei Xiao1ORCID,Li Kaiwei1234,Zhao Yunmeng1,Yang Yueting1,Rong Guangzhi1,Guo Ying1,Zhang Jiquan1234ORCID

Affiliation:

1. School of Environment Northeast Normal University Changchun 130024 China

2. Jilin Province Science and Technology Innovation Center of Agro‐Meteorological Disaster Risk Assessment and Prevention Northeast Normal University Changchun 130024 China

3. Key Laboratory for Vegetation Ecology Ministry of Education Changchun 130024 China

4. State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration Northeast Normal University Changchun 130024 China

Abstract

AbstractHigh winds are a type of catastrophic weather characterized by wind speeds over 10.8 m·s−1, occurring in all seasons, and have become more frequent, impacting crop growth, agricultural production and quality of life. It is crucial to understand the spatial and temporal distribution patterns of high winds, as well as their speed and other characteristics, for logical planning of agricultural production and the creation of disaster resilience measures. This study applied the climate tendency, accumulative anomalies, theory of run, Mann–Kendall trend and Theil–Sen median to analyse the spatial and temporal distribution characteristics of the average wind speed and high wind days in Jilin Province, the probability of occurrence of high winds of various magnitudes in different eras, and the gale concentration degree (GCD) throughout Jilin Province for a total of 40 years from 1982 to 2021. The average wind speed and number of high wind days in Jilin Province have decreased over the past 40 years, and this trend has slowed over time. The average GCD in Jilin Province has shown an increasing trend over the last 40 years, with the average GCD being highest in Liouhe and lowest in Linjiang. In general, level six high winds were the main wind hazard level in Jilin Province, with the highest frequency occurring in different seasons and decades. In addition, the occurrence of high wind days is affected by global climate change and different underlying surfaces, which leads to maize and yield reduction. Research on the spatiotemporal distribution of high winds can provide important suggestions for the prevention and management of high wind disasters.

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Atmospheric Science

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