Evaluating modeled intra- to multidecadal climate variability using running mann-whitney Z statistics

Journal of Climate

Volumn 25, Issue 5, 2012, Pages 1570-1586

  Mauget, Steven A ^a   Cordero, Eugene C ^b   Brown, Patrick T ^b  

^a AGRICULTURAL RESEARCH SERVICE   (United States)

^b SAN JOSE STATE UNIVERSITY   (United States)

Author keywords

Climate models; Diagnostics; Interdecadal variability; Model comparison; Model errors; Statistical techniques

Indexed keywords

ANALYSIS METHOD; CLIMATE FORECASTING; CLIMATE REGIME; CLIMATE VARIABILITY; CLIMATE VARIATION; COUPLED MODEL INTERCOMPARISON PROJECT; DOMINANT MODE; ERROR METRICES; FUTURE MODELS; GRAPHIC ANALYSIS; GRID LOCATION; INTERDECADAL VARIABILITY; MANN-WHITNEY; MODEL COMPARISON; MODEL ERRORS; MODEL SIMULATION; PRINCIPAL COMPONENT; RESPONSE PATTERNS; STATISTICAL TECHNIQUES; TEMPERATURE CYCLES; TIME WINDOWS; U-STATISTICS; WARM TEMPERATURES; Z VALUE; Z-STATISTICS;

CLIMATOLOGY; COMPUTER SIMULATION; PLASMA DIAGNOSTICS; PRINCIPAL COMPONENT ANALYSIS; TIME SERIES;

CLIMATE MODELS;

CLIMATE CHANGE; CLIMATE MODELING; CLIMATE PREDICTION; CLIMATE VARIATION; COMPUTER SIMULATION; DECADAL VARIATION; ERROR ANALYSIS; PRINCIPAL COMPONENT ANALYSIS;

EID: 84858255766     PISSN: 08948755     EISSN: None     Source Type: Journal    
DOI: 10.1175/JCLI-D-11-00211.1     Document Type: Article

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