A synoptic weather-typing approach to project future daily rainfall and extremes at local scale in Ontario, Canada

Journal of Climate

Volumn 24, Issue 14, 2011, Pages 3667-3685

  Cheng, Chad Shouquan ^a   Li, Guilong ^a   Li, Qian ^a   Auld, Heather ^a  

^a ENVIRONMENT CANADA   (Canada)

Author keywords

Classification; General circulation models; North America; Rainfall; Synoptic climatology

Indexed keywords

ACCUMULATED RAINFALL; ANNUAL MAXIMA; CLIMATE DATA; DAILY RAINFALL; DISCRIMINANT FUNCTION ANALYSIS; DOWN-SCALING; FUTURE CLIMATE; GENERAL CIRCULATION MODEL; GENERAL CIRCULATION MODEL SIMULATIONS; HEAVY RAINFALL; LOCAL SCALE; METEOROLOGICAL STATION; METEOROLOGICAL VARIABLES; MODEL RESULTS; NON-LINEAR REGRESSION METHOD; NORTH AMERICA; ONTARIO , CANADA; RAIN DAYS; RAINFALL SIMULATIONS; RETURN VALUE; RIVER BASINS; SEASONAL RAINFALL; STATISTICAL DOWNSCALING; SYNOPTIC CLIMATOLOGY; TORONTO; VERIFICATION PROCESS;

CLIMATE MODELS; CLIMATOLOGY; COMPUTER SIMULATION; DISCRIMINANT ANALYSIS; UNCERTAINTY ANALYSIS; WATERSHEDS;

RAIN;

CLIMATE MODELING; DOWNSCALING; FUTURE PROSPECT; GENERAL CIRCULATION MODEL; NONLINEARITY; NUMERICAL MODEL; PRECIPITATION ASSESSMENT; PRECIPITATION INTENSITY; QUANTITATIVE ANALYSIS; RAINFALL; REGRESSION ANALYSIS; SYNOPTIC METEOROLOGY;

CANADA; ONTARIO [CANADA];

EID: 79960667865     PISSN: 08948755     EISSN: None     Source Type: Journal    
DOI: 10.1175/2011JCLI3764.1     Document Type: Article

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