Characterizing extreme drought and wetness in Guangdong, China using global navigation satellite system and precipitation data

IF 9 1区 地球科学 Q1 ENGINEERING, AEROSPACE Satellite Navigation Pub Date : 2024-01-01 DOI:10.1186/s43020-023-00121-6
Hai Zhu, Kejie Chen, Haishan Chai, Yuanbin Ye, Wenjian Liu
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Abstract

As global temperature rises, the frequency of extreme climate events, e.g., severe droughts and floods, has increased significantly and caused severe damage over the past years. To this regard, precipitation efficiency, a crucial meteorological parameter, could provide valuable insights for a better understanding of the patterns and characteristics of these extreme events. In this study, taking Guangdong province as an exemplary region, we first obtained long-term and high-resolution historical records of precipitation efficiency by integrating the observations from a dense network of Global Navigation Satellite System (GNSS) stations with precipitation data, and then characterized the extreme drought and wetness through climate indices. We found a distinct seasonal trend in precipitation efficiency in Guangdong, with annual fluctuations ranging from 10 to 25%. Notably, precipitation efficiency is higher in proximity to the Pearl River Delta Plain and gradually decreases towards the east and west. The occurrence of anomalous peaks and valleys in precipitation efficiency generally corresponds to dry and wet conditions, respectively. A total of 9 extreme wet events and 6 dry events occurred from January 2007 to May 2022, with durations from 3 to 6 months. Our results also demonstrated that both wet and dry frequencies exhibit an increasing trend with the expansion of the time scale, and the frequency of extreme events near the Pearl River Delta Plain surpasses that of other regions. Furthermore, the propagation time from meteorological anomalies to agricultural and hydrological anomalies is about 3 months. The periodic characteristics of meteorological anomalies are identified as the primary driver for other anomalous periodic patterns. Our work unveils the long-term dynamic behavior of precipitation efficiency, as well as the characteristics of extreme drought and wetness events in the regions characterized by intricate land–atmosphere interactions.
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利用全球导航卫星系统和降水数据描述中国广东的极端干旱和潮湿特征
随着全球气温的升高,极端气候事件(如严重干旱和洪水)的频率显著增加,并在过去几年中造成了严重破坏。为此,降水效率作为一个重要的气象参数,可为更好地理解这些极端事件的模式和特征提供有价值的见解。在本研究中,我们以广东省为例,首先通过整合全球导航卫星系统(GNSS)密集站网的观测数据和降水数据,获得了降水效率的长期和高分辨率历史记录,然后通过气候指数描述了极端干旱和潮湿的特征。我们发现广东的降水效率有明显的季节变化趋势,年波动范围在 10% 到 25% 之间。值得注意的是,降水效率在靠近珠江三角洲平原地区较高,向东和向西逐渐降低。降水效率异常峰谷的出现一般分别与干旱和湿润条件相对应。从 2007 年 1 月到 2022 年 5 月,共发生了 9 次极端湿润事件和 6 次极端干旱事件,持续时间从 3 个月到 6 个月不等。我们的研究结果还表明,随着时间尺度的扩大,湿极端事件和干极端事件的发生频率都呈上升趋势,珠江三角洲平原附近的极端事件发生频率超过了其他地区。此外,从气象异常到农业和水文异常的传播时间约为 3 个月。气象异常的周期性特征被认为是其他异常周期模式的主要驱动力。我们的工作揭示了降水效率的长期动态行为,以及陆地-大气相互作用错综复杂的地区极端干旱和湿润事件的特征。
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来源期刊
CiteScore
19.40
自引率
6.20%
发文量
25
审稿时长
12 weeks
期刊介绍: Satellite Navigation is dedicated to presenting innovative ideas, new findings, and advancements in the theoretical techniques and applications of satellite navigation. The journal actively invites original articles, reviews, and commentaries to contribute to the exploration and dissemination of knowledge in this field.
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