Nonlinear climatology and paleoclimatology: Capturing patterns of variability and change with Self-Organizing Maps

Physics and Chemistry of the Earth

Volumn 35, Issue 9-12, 2010, Pages 329-340

  Reusch, David B ^a  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

Antarctica; Atmospheric circulation; Meteorology; Nonlinear; Polar climate; Self Organizing Maps

Indexed keywords

ANTARCTIC ICE CORE; ANTARCTICA; ATMOSPHERIC CIRCULATION; ATMOSPHERIC SCIENCE; DATA SETS; FREQUENCY ANALYSIS; METEOROLOGICAL VARIABLES; NON-LINEARITY; NONLINEAR TECHNIQUES; PALEOCLIMATOLOGY; PATTERN TRANSITIONS; RAPID IDENTIFICATION; SINGLE POINT; SPATIAL AND TEMPORAL VARIABILITY; SPATIAL DATA; TEMPORAL CHANGE; TIME-SERIES DATA;

CLIMATOLOGY; CONFORMAL MAPPING; TIME SERIES; TIME SERIES ANALYSIS;

SELF ORGANIZING MAPS;

ARTIFICIAL NEURAL NETWORK; ASYMMETRY; ATMOSPHERIC CIRCULATION; CLIMATE CHANGE; CLIMATE VARIATION; CLIMATOLOGY; DATA SET; HYSTERESIS; ICE CORE; PALEOCLIMATE; SPATIAL VARIATION; TEMPORAL VARIATION; TIME SERIES ANALYSIS;

ANTARCTICA;

EID: 77954959625     PISSN: 14747065     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.pce.2009.09.001     Document Type: Article

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