Climate Characteristics Analysis of Compound Precipitation and Wind Speed Extremes in China from 1979 to 2023

Based on the hourly precipitation and 10 m wind speed data from the European Centre for Medium-Range Weather Forecasts (ECMWF) Fifth Generation Atmospheric Reanalysis dataset from 1979 to 2023, spatiotemporal changes and its corresponding clustering characteristics of compound precipitation and wind speed extremes (PWEs), and the circulation characteristics in different periods in China were studied by using compound extreme events definition, trend analysis, spatial statistical analysis, and composite analysis.The results showed that PWEs in China were generally more frequent in the east than in the west.Among the PWEs in each subregion, the highest value was found in East China, where the mean value of the frequency and the days were the most in the range of 4~8 times and 4~8 d, and the corresponding area share reached 78.9% and 71.5%, respectively.The overall trend of PWEs from 1979 to 2023 had been decreasing, with the rate of change from 2011 to 2023 being 2.3 times and 3.4 times that of 1979 to 2010.The trend of PWEs from 1979 to 2010 showed an increasing trend in the central and eastern region of Eastern China, the central region of Southwest, and the northern region of Northwest, and the fastest decrease in Central China.From 2011 to 2023, positive trend values were mainly concentrated in the central region of China, and the Eastern China was the region of the fastest growth with rates of 0.96 times and 1.12 d per decade.In contrast, Southern China exhibited a decrease at rates of 0.81 times·(10a)-1 and -0.77 d·(10a)-1.The hot spot areas were concentrated on the west side of the Hu Line and coast region from 1979 to 2010, and the distribution of hot spot areas from 2011 to 2023 were consistent with the positive distribution of trend change.In addition, PWEs are the result of the combined effects of the high, middle, and low-level atmospheric layers.The enhancement of atmospheric high-level divergence and the weakening of the jet belt promote the upward movement of the atmosphere and the westward extension of the west Pacific subtropical high.The anomalous easterly wind in the middle atmosphere is conducive to the entry of water vapor from the periphery of the Northwest Pacific subtropical high into the inland regionof China, and the anomalous southeast wind in the low-level atmosphere further promotes the transport of water vapor to the inland region of China.The atmospheric circulation characteristics after 2010 also showed the development of PWEs events towards inland region of China.

Institutions

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-04-01
DOI
https://doi.org/10.7522/j.issn.1000-0534.2024.00076
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Climate Characteristics Analysis of Compound Precipitation and Wind Speed Extremes in China from 1979 to 2023

SHILAP Revista de lepidopterología
Climate variability and models
article

Climate Characteristics Analysis of Compound Precipitation and Wind Speed Extremes in China from 1979 to 2023

article en

Abstract

Based on the hourly precipitation and 10 m wind speed data from the European Centre for Medium-Range Weather Forecasts (ECMWF) Fifth Generation Atmospheric Reanalysis dataset from 1979 to 2023, spatiotemporal changes and its corresponding clustering characteristics of compound precipitation and wind speed extremes (PWEs), and the circulation characteristics in different periods in China were studied by using compound extreme events definition, trend analysis, spatial statistical analysis, and composite analysis.The results showed that PWEs in China were generally more frequent in the east than in the west.Among the PWEs in each subregion, the highest value was found in East China, where the mean value of the frequency and the days were the most in the range of 4~8 times and 4~8 d, and the corresponding area share reached 78.9% and 71.5%, respectively.The overall trend of PWEs from 1979 to 2023 had been decreasing, with the rate of change from 2011 to 2023 being 2.3 times and 3.4 times that of 1979 to 2010.The trend of PWEs from 1979 to 2010 showed an increasing trend in the central and eastern region of Eastern China, the central region of Southwest, and the northern region of Northwest, and the fastest decrease in Central China.From 2011 to 2023, positive trend values were mainly concentrated in the central region of China, and the Eastern China was the region of the fastest growth with rates of 0.96 times and 1.12 d per decade.In contrast, Southern China exhibited a decrease at rates of 0.81 times·(10a)-1 and -0.77 d·(10a)-1.The hot spot areas were concentrated on the west side of the Hu Line and coast region from 1979 to 2010, and the distribution of hot spot areas from 2011 to 2023 were consistent with the positive distribution of trend change.In addition, PWEs are the result of the combined effects of the high, middle, and low-level atmospheric layers.The enhancement of atmospheric high-level divergence and the weakening of the jet belt promote the upward movement of the atmosphere and the westward extension of the west Pacific subtropical high.The anomalous easterly wind in the middle atmosphere is conducive to the entry of water vapor from the periphery of the Northwest Pacific subtropical high into the inland regionof China, and the anomalous southeast wind in the low-level atmosphere further promotes the transport of water vapor to the inland region of China.The atmospheric circulation characteristics after 2010 also showed the development of PWEs events towards inland region of China.

SHILAP Revista de lepidopterología
China Meteorological Administration (CN), Yangtze University (CN), Wuhan University of Technology (CN), Wuhan Technology and Business University (CN)
Climate action
Openalex Percentile: Top 51%
Climate variability and models
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.