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全球中低纬度降水量时空特征分析

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基于1982 年1 月至2022 年4 月全球降水量的月平均数据资料,利用循环平稳经验正交函数(CSEOF)方法,讨论了第一、二模态的空间分布和时间序列,分析了全球中低纬度海洋降水量的空间分布、季节变化特征和年际变化特征,讨论了可能引起该变化的原因。结果表明,降水量的年际变化呈现周期性变化特征,其主要变化区域分布在热带太平洋地区,第一模态空间场呈现东-西反相位振荡特征,冬季强于夏季;第二模态空间场季节变化相对于第一模态空间场更为复杂,冬季正负变异高值区主要表现为东-西反相位振荡特征,而夏季以负变异区为主,变异区强度较弱。第一模态时空变化特征主要受到厄尔尼诺-南方涛动(ENSO)现象影响,而第二模态主要受到中部型厄尔尼诺(El Niño Modoki)现象影响,降水量的主要变化特征受到两种现象的叠加影响。
Analysis of spatiotemporal characteristics of global precipitation at middle and low latitudes
Based on the monthly average global precipitation data from January 1982 to April 2022,this study discusses the spatial distribution and time series of mode one and mode two using the cyclostationary empirical orthogonal function(CSEOF)method;analyzes the spatial distribution,seasonal variation characteristics,and interannual variation characteristics of global marine precipitation at low and middle latitudes;and discusses the possible causes of these variations.Results show that the interannual variation of precipitation exhibits periodic characteristics,with the main areas experiencing variations being distributed in the tropical Pacific region;additionally,the spatial field of mode one demonstrates an east-west inverse phase distribution,which is stronger in winter than in summer.The seasonal variation of the spatial field of mode two is more complex than that of mode one,with the high-value positive and negative variability regions demonstrating an east-west inverse phase distribution in winter and negative variability regions dominating in summer with weaker intensity.ENSO has an important impact on the interannual variations of precipitation.The spatiotemporal variation characteristics of mode one are primarily affected by the ENSO phenomenon,while those of mode two are mainly affected by the El Niño Modoki phenomenon.The main precipitation variation characteristics are affected by the superposition of these two phenomena.

CSEOFglobal precipitationENSOCMAP database

王秋妍、宋秀瑜、杨帆、李耀如

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唐山市自然资源和规划局,河北 唐山 063000

大连市气象装备保障中心,辽宁 大连 116001

自然资源部北海生态中心 自然资源部渤海生态预警与保护修复重点实验室,山东 青岛 266000

循环平稳经验正交函数 全球降水 厄尔尼诺-南方涛动 CMAP数据集

2024

山东科学
山东省科学院

山东科学

CSTPCD
影响因子:0.266
ISSN:1002-4026
年,卷(期):2024.37(6)