A statistical approach to downscaling of sub-daily extreme rainfall processes for climate-related impact studies in urban areas

Water Science and Technology: Water Supply

Volumn 7, Issue 2, 2007, Pages 183-192

  Nguyen, V T V ^a   Nguyen, T D ^a   Cung, A ^a  

^a MCGILL UNIVERSITY   (Canada)

Author keywords

Climate change; Downscaling methods; Extreme rainfalls; Frequency analyses; General extreme value distribution; Statistical modelling

Indexed keywords

CLIMATE CHANGE; COMPUTER SIMULATION; NUMERICAL METHODS; STATISTICAL METHODS;

ANNUAL MAXIMUM; DOWNSCALING METHOD; GENERAL CIRCULATION MODEL; GENERAL EXTREME VALUE;

RAIN;

RAIN;

CLIMATE CHANGE; COMPUTER SIMULATION; NUMERICAL METHODS; RAIN; STATISTICAL METHODS;

CLIMATE CHANGE; CLIMATE EFFECT; CLIMATE VARIATION; DOWNSCALING; FREQUENCY ANALYSIS; GENERAL CIRCULATION MODEL; PRECIPITATION ASSESSMENT; SPATIOTEMPORAL ANALYSIS; URBAN AREA;

CLIMATE CHANGE; CONFERENCE PAPER; FEASIBILITY STUDY; PRECIPITATION; PROBABILITY; STATISTICAL MODEL; URBAN AREA;

CANADA; NORTH AMERICA; QUEBEC [CANADA];

EID: 34548164773     PISSN: 16069749     EISSN: None     Source Type: Book Series    
DOI: 10.2166/ws.2007.053     Document Type: Conference Paper

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