A synoptic weather typing approach to simulate daily rainfall and extremes in Ontario, Canada: Potential for climate change projections

Journal of Applied Meteorology and Climatology

Volumn 49, Issue 5, 2010, Pages 845-866

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

^a ENVIRONMENT CANADA   (Canada)

Author keywords

Climate change; Rainfall; Synoptic climatology

Indexed keywords

AVERAGE LINKAGE CLUSTERING; CLIMATE CHANGE PROJECTIONS; DAILY RAINFALL; DATA SETS; DISCRIMINANT FUNCTION ANALYSIS; MODEL DEVELOPMENT; MODEL SIMULATION; MODEL VALIDATION; NON-LINEAR REGRESSION; ONTARIO; ONTARIO , CANADA; RAINFALL; RAINFALL EVENT; RAINFALL SIMULATIONS; RELATIVE OPERATING CHARACTERISTICS; RIVER BASINS; SIMULATION MODEL; SYNOPTIC CLIMATOLOGY; TWO-STEP PROCESS;

COMPUTER SIMULATION; DISCRIMINANT ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; RAIN; REGRESSION ANALYSIS; WATERSHEDS;

CLIMATE CHANGE;

CLIMATE CHANGE; DISCRIMINANT ANALYSIS; EXTREME EVENT; MODELING; PRINCIPAL COMPONENT ANALYSIS; RAINFALL; REGRESSION ANALYSIS; SYNOPTIC METEOROLOGY;

CANADA; ONTARIO [CANADA];

EID: 77955585023     PISSN: 15588424     EISSN: None     Source Type: Journal    
DOI: 10.1175/2010JAMC2016.1     Document Type: Article

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