How well do the GCMs/RCMs capture the multi-scale temporal variability of precipitation in the Southwestern United States?

Journal of Hydrology

Volumn 479, Issue , 2013, Pages 75-85

  Jiang, Peng ^a   Gautam, Mahesh R ^b   Zhu, Jianting ^c   Yu, Zhongbo ^a  

^a UNIVERSITY OF NEVADA   (United States)

^b DESERT RESEARCH INSTITUTE   (United States)

^c UNIVERSITY OF WYOMING   (United States)

Author keywords

Climate change; GCM RCMs; Multi scale temporal precipitation variability; Southwestern US; WCRP CMIP3 dataset

Indexed keywords

CLUSTERING METHODS; CONVECTIVE HEAT; COUPLED MODELS; DATA SETS; EL NINO; EXTREME EVENTS; GCM/RCMS; GENERAL CIRCULATION MODEL; INTERANNUAL; INTERCOMPARISONS; LAS VEGAS; LOS ANGELES; MULTISCALES; NORTH AMERICAN; PACIFIC DECADAL OSCILLATION; PRECIPITATION TIME SERIES; PRECIPITATION VARIABILITY; PROJECT PHASE; REGIONAL CLIMATE CHANGES; REGIONAL CLIMATE MODELS; SOUTHERN OSCILLATION; SOUTHWESTERN US; STATION DATA; STORM INTENSITY; SUMMER MONSOON; SUMMER STORMS; TEMPORAL VARIABILITY; WORLD CLIMATE RESEARCH PROGRAMS;

ATMOSPHERIC PRESSURE; CLIMATE MODELS; DROUGHT; FLOODS; PROGRAM DIAGNOSTICS; STORMS;

CLIMATE CHANGE;

ATMOSPHERIC GENERAL CIRCULATION MODEL; CLIMATE MODELING; DATA SET; DOWNSCALING; DROUGHT; EL NINO-SOUTHERN OSCILLATION; EXTREME EVENT; FLOODING; GLOBAL CLIMATE; HEAT TRANSFER; PACIFIC DECADAL OSCILLATION; PRECIPITATION (CLIMATOLOGY); REGIONAL CLIMATE; RESEARCH PROGRAM; TIME SERIES;

UNITED STATES;

EID: 84872269051     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2012.11.041     Document Type: Article

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