Characterizing global CO2interannual variability with empirical orthogonal function/principal component (EOF/PC) analysis
نویسندگان
چکیده
منابع مشابه
Orthogonal Simple Component Analysis
A new methodology to aid interpretation of a principal component analysis is presented. While preserving orthogonality, each eigenvector is replaced by a vector, close to it in angle terms, whose entries are small integers. We call such vectors simple. The approach is exploratory, a range of sets of pairwise orthogonal simple components being systematically obtained, from which the user may cho...
متن کاملCharacterizing Variability of Modular Brain Connectivity with Constrained Principal Component Analysis
Characterizing the variability of resting-state functional brain connectivity across subjects and/or over time has recently attracted much attention. Principal component analysis (PCA) serves as a fundamental statistical technique for such analyses. However, performing PCA on high-dimensional connectivity matrices yields complicated "eigenconnectivity" patterns, for which systematic interpretat...
متن کاملRobust Orthogonal Complement Principal Component Analysis
Recently, the robustification of principal component analysis has attracted lots of attention from statisticians, engineers and computer scientists. In this work we study the type of outliers that are not necessarily apparent in the original observation space but can seriously affect the principal subspace estimation. Based on a mathematical formulation of such transformed outliers, a novel rob...
متن کاملAnalysis of global geomagnetic variability
The orthogonal field components from global INTERMAGNET magnetometer stations are studied via multifractal detrended fluctuation analysis to determine whether there are clear and consistent regional patterns in the behavior of the fluctuations. There are three distinct scaling regimes in the qth-order fluctuation function for each of the 24 stations studied covering Southwest North America, Nor...
متن کاملCharacterizing a Software Component
This paper discusses the problem of characterizing a software component, which is essential to understand what components are and how they can be classified. First, we classify what should be characterized about a component into three categories: Informal Descriptions, Internals, and Externals . Then, using this classification, we derive a set of features to characterize a software component.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Geophysical Research Letters
سال: 2002
ISSN: 0094-8276
DOI: 10.1029/2001gl014419