Can we tell more than we can know? The limits of bivariate drought analyses in the United States

Stochastic Environmental Research and Risk Assessment

Volumn 30, Issue 6, 2016, Pages 1691-1704

  Serinaldi, Francesco ^a,b  

^a NEWCASTLE UNIVERSITY   (United Kingdom)

^b Towers Watson   (United Kingdom)

Author keywords

Bivariate frequency analysis; Copulas; Drought; Joint extreme events; Joint return periods; Moisture conditions; Precipitation deficit; Temperature; Uncertainty

Indexed keywords

DROUGHT; MULTIVARIANT ANALYSIS; TEMPERATURE; UNCERTAINTY ANALYSIS;

BIVARIATE FREQUENCY ANALYSIS; COPULAS; EXTREME EVENTS; JOINT RETURN PERIOD; MOISTURE CONDITIONS; PRECIPITATION DEFICITS; UNCERTAINTY;

RISK ASSESSMENT;

AIR TEMPERATURE; ATMOSPHERIC MOISTURE; DROUGHT; EXTREME EVENT; FREQUENCY ANALYSIS; MULTIVARIATE ANALYSIS; PRECIPITATION (CLIMATOLOGY); RETURN PERIOD; UNCERTAINTY ANALYSIS;

CALIFORNIA; UNITED STATES;

EID: 84938773610     PISSN: 14363240     EISSN: 14363259     Source Type: Journal    
DOI: 10.1007/s00477-015-1124-3     Document Type: Article

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