Detection, Attribution and Projection of Precipitation Structure Changes Over Northwest China

ABSTRACT Northwest China (NWC), as a typical arid and semi‐arid region, has exhibited a pronounced warming and wetting trend since the 1980s. However, changes in the precipitation structure in the NWC remain poorly understood. Based on observational data and CMIP6 multi‐model simulations from 1961 to 2014, this study analyses variations in precipitation structure over the NWC and conducts the attribution analysis using the optimal fingerprinting method to quantify the relative contribution from different external factors. The projection of changes in precipitation structure is also studied. The results demonstrate a transition in precipitation structure characterised by reducing light precipitation frequency and increasing amount and frequency of heavy precipitation. Attribution analysis identifies greenhouse gases (GHG) forcing—primarily driven by anthropogenic emissions—as the dominant driver of these structural changes. In contrast, aerosols (AER) forcing and natural (NAT) forcing contributions remain statistically insignificant. The characteristics of changes in the precipitation structure in the NWC are projected to continue in the future, with a marked increase in both the frequency and amount of heavy precipitation events. Compared with the raw projection, the constrained projections exhibit a substantially stronger magnitude in precipitation structure changes. These findings underscore the urgent need to mitigate greenhouse gas emissions and to implement adaptive strategies to address heavy precipitation in the region.

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Publication Details

Journal
International Journal of Climatology
Published
2026-05-22
DOI
https://doi.org/10.1002/joc.70443
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
0.00

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article

Detection, Attribution and Projection of Precipitation Structure Changes Over Northwest China

S K Wang, Weiwei Li, Siyan Dong, Lianyi Guo
International Journal of Climatology
Climate variability and models
article

Detection, Attribution and Projection of Precipitation Structure Changes Over Northwest China

S K Wang, Weiwei Li, Siyan Dong, Lianyi Guo
article en

Abstract

ABSTRACT Northwest China (NWC), as a typical arid and semi‐arid region, has exhibited a pronounced warming and wetting trend since the 1980s. However, changes in the precipitation structure in the NWC remain poorly understood. Based on observational data and CMIP6 multi‐model simulations from 1961 to 2014, this study analyses variations in precipitation structure over the NWC and conducts the attribution analysis using the optimal fingerprinting method to quantify the relative contribution from different external factors. The projection of changes in precipitation structure is also studied. The results demonstrate a transition in precipitation structure characterised by reducing light precipitation frequency and increasing amount and frequency of heavy precipitation. Attribution analysis identifies greenhouse gases (GHG) forcing—primarily driven by anthropogenic emissions—as the dominant driver of these structural changes. In contrast, aerosols (AER) forcing and natural (NAT) forcing contributions remain statistically insignificant. The characteristics of changes in the precipitation structure in the NWC are projected to continue in the future, with a marked increase in both the frequency and amount of heavy precipitation events. Compared with the raw projection, the constrained projections exhibit a substantially stronger magnitude in precipitation structure changes. These findings underscore the urgent need to mitigate greenhouse gas emissions and to implement adaptive strategies to address heavy precipitation in the region.

International Journal of Climatology
China Meteorological Administration (CN), Nanjing University of Information Science and Technology (CN), Yangzhou University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 6%
Climate variability and models
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