Content area
For arid and semi-arid regions like Xinjiang, analyzing the spatiotemporal patterns of September precipitation and their atmospheric circulation teleconnections is crucial for ecosystem preservation. This research examined how the August Asian–Pacific Oscillation (APO) influenced the September precipitation patterns in northern Xinjiang. The results show that the thermal anomalies resulting from the August APO exhibited persistence into September, triggering atmospheric circulation anomalies that ultimately affected the precipitation patterns in northern Xinjiang, with a notable negative correlation. The positive (negative) August APO phase corresponded to reduced (increased) mid-tropospheric geopotential heights over Asia and the Arabian Sea, significantly enhancing anomalous cyclonic (anticyclonic) circulation patterns in these regions. These circulation patterns induced anomalous northerlies (southerlies) over northern Xinjiang and the region from eastern Iran to the Persian Gulf, thereby reducing (increasing) the moisture transport from the Arabian Sea. Furthermore, the anomalous divergence (convergence) of cold/warm air masses and subsidence (ascent) motions exacerbated (enhanced) these effects, ultimately suppressing (enhancing) the September precipitation in northern Xinjiang.
Details
Geopotential;
Warm air;
Arid zones;
Atmospheric circulation;
Air masses;
Precipitation;
Cyclonic circulation;
Precipitation patterns;
Influence;
Geopotential height;
Circulation patterns;
Semiarid zones;
Temperature;
Atmospheric circulation anomalies;
Circulation;
Variables;
Arid regions;
Dynamic height;
Anomalies;
Semi arid areas;
Climate
1 School of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu 610225, China; [email protected]
2 School of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu 610225, China; [email protected], Climate Change and Resource Utilization in Complex Terrain Regions Key Laboratory of Sichuan Province, Chengdu University of Information Technology, Chengdu 610225, China, Meteorological Disaster Prediction and Warning Engineering Laboratory of Sichuan Province, Chengdu University of Information Technology, Chengdu 610225, China