Version 1
: Received: 28 March 2024 / Approved: 28 March 2024 / Online: 28 March 2024 (15:50:48 CET)
How to cite:
Yang, Y.; Chang, W. Analysis of Spatial and Temporal Distribution and Changes of Extreme Climate Events in Northwest China from 1960 to 2021: A Case Study of Xinjiang. Preprints2024, 2024031748. https://doi.org/10.20944/preprints202403.1748.v1
Yang, Y.; Chang, W. Analysis of Spatial and Temporal Distribution and Changes of Extreme Climate Events in Northwest China from 1960 to 2021: A Case Study of Xinjiang. Preprints 2024, 2024031748. https://doi.org/10.20944/preprints202403.1748.v1
Yang, Y.; Chang, W. Analysis of Spatial and Temporal Distribution and Changes of Extreme Climate Events in Northwest China from 1960 to 2021: A Case Study of Xinjiang. Preprints2024, 2024031748. https://doi.org/10.20944/preprints202403.1748.v1
APA Style
Yang, Y., & Chang, W. (2024). Analysis of Spatial and Temporal Distribution and Changes of Extreme Climate Events in Northwest China from 1960 to 2021: A Case Study of Xinjiang. Preprints. https://doi.org/10.20944/preprints202403.1748.v1
Chicago/Turabian Style
Yang, Y. and Wei Chang. 2024 "Analysis of Spatial and Temporal Distribution and Changes of Extreme Climate Events in Northwest China from 1960 to 2021: A Case Study of Xinjiang" Preprints. https://doi.org/10.20944/preprints202403.1748.v1
Abstract
Xinjiang, as a climate-sensitive region in northwest China, holds significant importance in studying extreme weather events for agricultural production and socioeconomic development. Based on data from 52 meteorological stations and 23 extreme climate indicators in Xinjiang from 1960 to 2021, the 5a moving average, linear trend estimation, climate tendency rate, and GIS spatial analysis methods are used to analyze the distribution and change characteristics of extreme climate. The results revealed that from 1960 to 2021, TXx, TNx, TXn, TNn, FD, ID, TN10p, TX10p, and WSDI showed a significant upward trend, while SU, TR, TN90p, TX90p, and CSDI showed a significant downward trend. What is more, the range of changes in the extreme temperature indexes from 1990 to 2021 is higher than that of 1960 to 1989. The high-value areas of extreme indexes are primarily concentrated in the northern part, while the high-value areas of cold event indexes are mainly distributed in the southern part. The upward/downward trends all accounting for over 80.00% of the entire region. The Rx1day, Rx5day, PRCPTOT, R95p, R99p, R10, R20, and R25 showed a significant growth trend from 1960 to 2021, and the range of change in the extreme precipitation indexes from 1990 to 2021 was lower than that from 1960 to 1989. Moreover, their high-value areas and high climate tendency areas are mainly concentrated in the northern and western parts of Xinjiang, with upward trends all accounting for over 71.00% of the entire region. The research results provide theoretical foundations for formulating climate risk strategies in the northwest region of China.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
