Identifying weekly cycles in meteorological variables: The importance of an appropriate statistical analysis

Journal of Geophysical Research Atmospheres

Volumn 117, Issue 13, 2012, Pages

  Daniel, J S ^a   Portmann, R W ^a   Solomon, S ^a,b   Murphy, D M ^a  

^a NOAA EARTH SYSTEM RESEARCH LABORATORY   (United States)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ERRORS; FOURIER ANALYSIS; UNCERTAINTY ANALYSIS;

ANALYSIS TECHNIQUES; ANTHROPOGENIC ACTIVITY; CYCLE ANALYSIS; HUMAN INFLUENCES; METEOROLOGICAL PARAMETERS; METEOROLOGICAL VARIABLES; NUMBER OF DEGREES OF FREEDOM; RE-SAMPLING APPROACH; RESAMPLING TECHNIQUE; STATISTICAL SIGNIFICANCE; STATISTICAL TECHNIQUES; T-TESTS; TEMPORAL AND SPATIAL CORRELATION;

SAMPLING;

CORRELATION; ERROR ANALYSIS; FOURIER TRANSFORM; HUMAN ACTIVITY; METEOROLOGY; NUMERICAL MODEL; SPATIAL ANALYSIS; UNCERTAINTY ANALYSIS;

EID: 84864034741     PISSN: 01480227     EISSN: None     Source Type: Journal    
DOI: 10.1029/2012JD017574     Document Type: Article

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