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Learn how to use Empirical Orthogonal Function (EOF) and Rotated EOF (REOF) analysis to study spatial and temporal variability of climate fields. Find out the advantages, limitations and methods of EOF and REOF analysis with examples and references.
reof is a function that reconstructs a time series of EOF anomalies from specified EOF modes. It can be used to filter out noise from a gridded dataset based on the variance explained by the EOF modes.
REOF analysis is a method to identify and extract spatiotemporal modes of variability that are ordered by their representations of data variance. This paper compares REOF and EOF analyses for the tropical Pacific sea surface temperature variability and shows that REOF analysis produces more physically meaningful results.
Rotated EOF (REOF) technique is based on rotating the EOF patterns or the PCs, and has been adopted by atmospheric scientists since the early 1980s (Horel 1981; Richman 1981, 1986). The technique, however, is much older and goes back to the early 1940s when it was first suggested and applied in the field of social science Footnote 1 (Thurstone ...
导入模块 from pyEOF import * import xarray as xr import numpy as np import pandas as pd import matplotlib.pyplot as plt Warning: ecCodes 2.22.0 or higher is recomm...
The synthetic experiments indicate that REOF analysis is overwhelmingly a better choice in terms of accuracy and effectiveness, especially for picking up localized patterns. When applied to the ...
Learn how to use EOF and REOF analysis to study spatial and temporal variability of meteorological data. See examples of EOF and REOF modes for global temperature and sea surface temperature.
The loading pattern of the NAO is defined as the first leading mode of Rotated Empirical Orthogonal Function (REOF) analysis of monthly mean 500mb height during 1950-2000 period. NOAA/ National Weather Service National Centers for Environmental Prediction Climate Prediction Center
利用纯python进行reof分析 数据预处理 计算载荷阵并旋转 探索性分析可视化 构造简单的线性特征 文件. 降水 详情. 运行环境： 登录/注册 后可以评论. 小丹 ...
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