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ORIGINAL RESEARCH article

Front. Environ. Sci.

Sec. Atmosphere and Climate

Volume 13 - 2025 | doi: 10.3389/fenvs.2025.1550421

Spatiotemporal Characteristics of Precipitation in Harbin City, China, from 1962 to 2020

Provisionally accepted
  • China University of Geosciences, Beijing, China

The final, formatted version of the article will be published soon.

    Based on daily precipitation data from 11 stations in Harbin City from 1962 to 2020, various statistical methods, including linear regression, moving averages, anomaly analysis, Mann-Kendall (M-K) mutation test, and Morlet wavelet analysis, were applied to examine annual and seasonal precipitation trends, mutations, and periodicities. The results reveal an increasing trend in annual precipitation, with significant increase during all seasons, particularly in summer, which contributes the most to total annual precipitation.Monthly precipitation shows significant variation, with July being the wettest and January the driest.Multiple abrupt changes were identified in both annual and seasonal precipitation, with the most significant mutations occurring in 1963, 1979, and 2018. Periodic analysis indicates that the main periodicity in annual precipitation occurs at 32-52 years, with seasonal variations peaking at different scales. Spring and winter show the highest periodic intensity at 45-64 years, while summer and autumn are most strongly influenced by cycles at 32-52 years. Precipitation periodicity shortens from north to south and east to west. Precipitation also shows a strong positive correlation with vegetation indices. These findings provide valuable insights for water resource management and agricultural planning in the region, offering a scientific basis for developing strategies to address seasonal and long-term precipitation fluctuations.

    Keywords: Precipitation analysis, Morlet wavelet analysis, M-K mutation test, climate variability, Long-term trends

    Received: 23 Dec 2024; Accepted: 07 Apr 2025.

    Copyright: © 2025 Fu and Sun. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Jichao Sun, China University of Geosciences, Beijing, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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