多个大规模大气循环的相互作用对中国降雨动态的影响
Haixia Dong1, Shengzhi Huang1, Hao Wang2
1State Key Laboratory of Eco-Hydraulic in Northwest Arid Region of China, Xi'an University of Technology, Xi'an 710048, China.
The Science of the total environment
|March 9, 2024
概括
多种气候远程连接,包括大西洋多季度振荡 (AMO) 和厄尔尼诺-南方振荡 (ENSO),显著影响中国.
科学领域:
- 气候学和大气科学 气候学和大气科学
- 环境科学 环境科学
- 水文学的水文学
背景情况:
- 降水变化,导致干旱和洪水,是由多个远程连接因素驱动的.
- 在中国,降水指数与远程连接因素之间的复杂多变量关系仍未得到充分研究.
- 了解这些相互作用对于有效的干旱预警系统和气候变化适应战略至关重要.
研究的目的:
- 综合调查多种大规模大气循环模式对中国降水变化的综合影响.
- 阐明影响降水动态的主导远程连接因素之间的时间滞后,周期关系和相互作用.
- 量化远程连接因子调节降水之间的相互作用类型和途径.
主要方法:
- 用皮尔森相关性分析和部分波形连贯性 (PWC) 来确定主要的远程连接因素.
- 交叉波段和多波段连贯性分析被用来检查时间滞后,周期性和相互作用.
- 量化相互作用类型 (增强型,独立型,抵消型) 和它们在中国的空间分布.
主要成果:
- 大西洋多年周期振荡 (AMO),厄尔尼诺-南方振荡 (ENSO),东亚夏季季风 (EASM) 和印度洋双极 (IOD) 被确定为标准化降雨指数 (SPI) 动态的主要远程连接因素.
- AMO通常带领其他具有正相关性的因素,而ENSO和南方振荡 (SO) 落后,在各种时间尺度上表现出长期的相关性.
- 两因素相互作用 (例如,AMO + NAO,AMO + AO) 显示出增强效应,特别是在中国南部,而三因素相互作用在北方地区具有更显著的抵消效应.
结论:
- 这项研究揭示了通过大规模气候因素调节中国季节性降雨动态的独特相互作用机制和途径.
- 这些发现突出了远程连接因素组合对区域降水的影响的差异,这对于局部气候风险评估至关重要.
- 了解这些复杂的相互作用为改善气候模型和制定水资源管理和防灾准备的有针对性的战略提供了关键的见解.
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