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Article

Precipitation Variation Characteristics in Gannan Prefecture, China: Application of the Innovative Trend Analysis and the BEAST (Bayesian Estimator of Abrupt Change, Seasonality, and Trend) Ensemble Algorithm

by
Hui Zhou
1,
Linjing Wei
1,* and
Yanqiang Cui
2
1
College of Information Science and Technology, Gansu Agricultural University, Lanzhou 730070, China
2
College of Water Conservancy and Hydropower Engineering, Gansu Agricultural University, Lanzhou 730070, China
*
Author to whom correspondence should be addressed.
Atmosphere 2025, 16(11), 1223; https://doi.org/10.3390/atmos16111223
Submission received: 12 August 2025 / Revised: 17 October 2025 / Accepted: 18 October 2025 / Published: 22 October 2025
(This article belongs to the Section Climatology)

Abstract

This study examined the trend changes as well as the spatial distribution of average precipitation and the abrupt change characteristics of precipitation in Gannan Prefecture, China, using daily precipitation monitoring data from 1980 to 2021 at eight meteorological stations. Analytical methods employed included the climate change trend rate, anomaly analysis, Innovative Trend Analysis (ITA), ITA-change boxes (ITA-CB), ArcGIS technology, and BEAST Ensemble Algorithm. Long-term average precipitation variability was comprehensively analyzed across multiple temporal scales. Results indicated that over the 42 years, interannual precipitation exhibited a significant increasing trend, with an annual rate of 14.363 mm/decade, and abrupt changes were detected in 1984, 2003, and 2018. The distribution of average precipitation varied substantially from year to year. July was the month with the highest average monthly precipitation, and December was the month with the lowest. Summer precipitation contributed the most to annual totals (51.33%), whereas winter precipitation contributed the least (2.01%). Interdecadal precipitation exhibited a pattern of an initial decrease followed by an increase over the study period. Based on the mean and standard deviation of the series’ first half, which was divided by the ITA method, we established a three-category classification for mean precipitation (low, medium, and high). Annual average and seasonal average precipitation showed non-monotonic variations. While the overall trend of annual average precipitation showed a modest augmentation, the increasing tendencies in the middle-value and high-value categories slowed. In spring, the decreasing trend in high-value categories slowed. In summer, decreasing trends in middle-value categories and overall zones slowed, with an enhanced increasing trend observed in autumn and winter overall. At the spatial scale, the average precipitation across Gannan Prefecture exhibited a decreasing trend from south to north. Higher precipitation was recorded at meteorological stations in the southwest (Maqu), west (Luqu), and south (Diebu), primarily influenced by the interaction between the Qinghai–Tibetan Plateau monsoon and westerly circulation, as well as regional topographic effects. The research findings have significant implications for agricultural and pastoral production planning and sustainable economic development in Gannan Prefecture, China.
Keywords: precipitation; anomaly; ITA; ITA-CB; BEAST Ensemble Algorithm precipitation; anomaly; ITA; ITA-CB; BEAST Ensemble Algorithm

Share and Cite

MDPI and ACS Style

Zhou, H.; Wei, L.; Cui, Y. Precipitation Variation Characteristics in Gannan Prefecture, China: Application of the Innovative Trend Analysis and the BEAST (Bayesian Estimator of Abrupt Change, Seasonality, and Trend) Ensemble Algorithm. Atmosphere 2025, 16, 1223. https://doi.org/10.3390/atmos16111223

AMA Style

Zhou H, Wei L, Cui Y. Precipitation Variation Characteristics in Gannan Prefecture, China: Application of the Innovative Trend Analysis and the BEAST (Bayesian Estimator of Abrupt Change, Seasonality, and Trend) Ensemble Algorithm. Atmosphere. 2025; 16(11):1223. https://doi.org/10.3390/atmos16111223

Chicago/Turabian Style

Zhou, Hui, Linjing Wei, and Yanqiang Cui. 2025. "Precipitation Variation Characteristics in Gannan Prefecture, China: Application of the Innovative Trend Analysis and the BEAST (Bayesian Estimator of Abrupt Change, Seasonality, and Trend) Ensemble Algorithm" Atmosphere 16, no. 11: 1223. https://doi.org/10.3390/atmos16111223

APA Style

Zhou, H., Wei, L., & Cui, Y. (2025). Precipitation Variation Characteristics in Gannan Prefecture, China: Application of the Innovative Trend Analysis and the BEAST (Bayesian Estimator of Abrupt Change, Seasonality, and Trend) Ensemble Algorithm. Atmosphere, 16(11), 1223. https://doi.org/10.3390/atmos16111223

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