Decreasing Spatial Precipitation Unevenness Over Mountainous Areas in Eastern China

IF 2 4区地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES

Atmospheric Science Letters Pub Date : 2025-10-10 DOI:10.1002/asl.1324

Xiaoyuan Yue, Jian Li, Yin Zhao

引用次数: 0

Abstract

By using hourly rain gauge records from 1961 to 2020, we find that the annual precipitation differences between highland stations and lowland stations in eastern China are reducing. Specifically, precipitation frequency has decreased significantly in the highlands while precipitation intensity has increased considerably in the lowlands, both contributing to a reduced elevation–dependency of precipitation. The decreasing precipitation frequency correlates with reduced convective available potential energy (CAPE), whereas the increasing precipitation intensity is linked to enhanced low-level convergence.

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中国东部山区降水空间不均匀性的减少

利用1961 ~ 2020年逐时雨量记录，发现中国东部高原站与低地站的年降水量差异呈减小趋势。具体而言，高原降水频率显著减少，而低地降水强度显著增加，两者都有助于降低降水的海拔依赖性。降水频率的减少与对流有效势能（CAPE）的减少有关，而降水强度的增加与低层辐合增强有关。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Atmospheric Science Letters METEOROLOGY & ATMOSPHERIC SCIENCES-

CiteScore

4.90

自引率

3.30%

发文量

审稿时长

>12 weeks

期刊介绍： Atmospheric Science Letters (ASL) is a wholly Open Access electronic journal. Its aim is to provide a fully peer reviewed publication route for new shorter contributions in the field of atmospheric and closely related sciences. Through its ability to publish shorter contributions more rapidly than conventional journals, ASL offers a framework that promotes new understanding and creates scientific debate - providing a platform for discussing scientific issues and techniques. We encourage the presentation of multi-disciplinary work and contributions that utilise ideas and techniques from parallel areas. We particularly welcome contributions that maximise the visualisation capabilities offered by a purely on-line journal. ASL welcomes papers in the fields of: Dynamical meteorology; Ocean-atmosphere systems; Climate change, variability and impacts; New or improved observations from instrumentation; Hydrometeorology; Numerical weather prediction; Data assimilation and ensemble forecasting; Physical processes of the atmosphere; Land surface-atmosphere systems.