Projecting changes in future heavy rainfall events for Oahu, Hawaii: A statistical downscaling approach

Journal of Geophysical Research Atmospheres

Volumn 116, Issue 17, 2011, Pages

  Norton, Chase W ^a   Chu, Pao Shin ^a   Schroeder, Thomas A ^a  

^a UNIVERSITY OF HAWAII   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLIMATE CHANGE; NEURAL NETWORKS; STATISTICAL METHODS;

BOOTSTRAP RESAMPLING; CONFIDENCE INTERVAL; DATA SETS; DOWN-SCALING; EMISSION SCENARIO; EXTREME PRECIPITATION; FUTURE CLIMATE; GENERAL CIRCULATION MODEL; HEAVY RAINFALL; NEURAL NETWORK MODEL; NONLINEAR ARTIFICIAL NEURAL NETWORKS; PRECIPITATION EXTREMES; RAINFALL INTENSITY; STATISTICAL DOWNSCALING; STATISTICAL MODELS;

RAIN;

ARTIFICIAL NEURAL NETWORK; DIURNAL VARIATION; DOWNSCALING; FUTURE PROSPECT; GENERAL CIRCULATION MODEL; INTERGOVERNMENTAL PANEL ON CLIMATE CHANGE; NONLINEARITY; OROGRAPHY; PRECIPITATION INTENSITY; RAINFALL; SHORELINE;

HAWAII [UNITED STATES]; HAWAIIAN ISLANDS; OAHU; UNITED STATES;

EID: 80053086819     PISSN: 01480227     EISSN: None     Source Type: Journal    
DOI: 10.1029/2011JD015641     Document Type: Article

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