长江梅雨年际异常数据集（1951-2014）

基于梅雨监测国家标准确定的1951-2014年长江梅雨资料，采用集合经验模态分解方法获得长江梅雨的多时间尺度波动及长期变化趋势分量；进一步利用英国全球表面温度资料HadCRUT4，以及美国国家海洋大气局北大西洋和北太平洋多年代际变化指数，采用均生函数和多元线性回归等统计方法，得到长江梅雨年际异常数据集（1951-2014）。该数据集包括：（1）长江梅雨的年际异常观测值，3-4 a、6-8 a、12-16 a、32 a、64 a准周期变化分量以及长期趋势分量；（2）冬季Nino3区海温异常、热带西太平洋和北太平洋海温异常；（3）冬季北太平洋海温年代际异常序列；（4）冬季北太平洋海温多年代际变化序列；（5）冬季北大西洋海温多年代际变化序列。上述数据序列时间长度均为1951-2014年，共64年；冬季均指当年12月至次年2月。数据集存储格式为.xlsx格式，1个数据文件，数据量18.0 KB。该数据集的分析研究成果发表在《气象学报》2018年76卷第3期。Based on the Yangtze River Meiyu data from 1951 to 2014 determined in accordance with the national Meiyu monitoring standard, the multi-time scale fluctuations and long-term trend components of Yangtze River Meiyu were derived using the Ensemble Empirical Mode Decomposition method. Furthermore, leveraging the UK HadCRUT4 global surface temperature dataset and the North Atlantic and North Pacific multidecadal variability indices from the U.S. National Oceanic and Atmospheric Administration (NOAA), the Yangtze River Meiyu interannual anomaly dataset (1951-2014) was developed via statistical methods including Mean Generating Function and Multiple Linear Regression. This dataset includes the following contents: (1) Observed interannual anomaly values of Yangtze River Meiyu, quasi-periodic variation components at 3–4 a, 6–8 a, 12–16 a, 32 a and 64 a, as well as long-term trend components; (2) Winter sea surface temperature anomalies in the Nino3 region, and sea surface temperature anomalies in the tropical western Pacific and North Pacific; (3) Winter decadal anomaly sequence of North Pacific sea surface temperature; (4) Winter multidecadal variation sequence of North Pacific sea surface temperature; (5) Winter multidecadal variation sequence of North Atlantic sea surface temperature. All the aforementioned data sequences span from 1951 to 2014, totaling 64 years; "Winter" refers to the period from December of the current year to February of the following year. The dataset is stored as a single data file in .xlsx format with a size of 18.0 KB. The analytical research findings based on this dataset were published in *Acta Meteorologica Sinica*, Vol. 76, No. 3, 2018.

搜集汇总

背景与挑战

背景概述

该数据集聚焦于1951-2014年长江流域梅雨的年际异常分析，通过集合经验模态分解方法提取了多时间尺度波动和长期趋势，并结合海表温度数据及气候指数构建了预测模型。数据集包含梅雨异常、不同周期分量、冬季海表温度异常以及太平洋和大西洋气候振荡指数，旨在支持梅雨年际变率的预测研究，具有较高的科学应用价值。