Process-oriented MJO simulation diagnostic: Moisture sensitivity of simulated convection

Journal of Climate

Volumn 27, Issue 14, 2014, Pages 5379-5395

  Kim, Daehyun ^a,b   Xavier, Prince ^c   Maloney, Eric ^d   Wheeler, Matthew ^e   Waliser, Duane ^f   Sperber, Kenneth ^g   Hendon, Harry ^e   Zhang, Chidong ^h   Neale, Richard ⁱ   Hwang, Yen Ting ^b,j   Liu, Haibo ^a  

^a Department of Earth and Environmental Sciences   (United States)

^b UNIVERSITY OF WASHINGTON   (United States)

^c MET OFFICE   (United Kingdom)

^d Engineering Research Center and Hydraulics Laboratory   (United States)

^e Bureau of Meteorology Centre for Australian Weather and Climate Research   (Australia)

^f CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

^g LAWRENCE LIVERMORE NATIONAL LABORATORY   (United States)

^h UNIVERSITY OF MIAMI   (United States)

ⁱ NATIONAL CENTER FOR ATMOSPHERIC RESEARCH   (United States)

^j UNIVERSITY OF CALIFORNIA   (United States)

more..

Author keywords

Climate models; Convective clouds; Convective parameterization; Diagnostics; Intraseasonal variability; Madden Julian oscillation

Indexed keywords

ATMOSPHERIC HUMIDITY; CLIMATOLOGY; MOISTURE; PLASMA DIAGNOSTICS;

CLIMATE MODEL SIMULATIONS; CONVECTIVE CLOUDS; CONVECTIVE PARAMETERIZATION; COUPLED MODEL INTERCOMPARISON PROJECT; INTRASEASONAL VARIABILITY; MADDEN-JULIAN OSCILLATION; STATISTICAL RELATIONSHIP; WEATHER AND CLIMATE MODELS;

CLIMATE MODELS;

AIR-SEA INTERACTION; ATMOSPHERIC CONVECTION; ATMOSPHERIC GENERAL CIRCULATION MODEL; CLIMATE MODELING; CONVECTIVE CLOUD; MADDEN-JULIAN OSCILLATION; PARAMETERIZATION; RELATIVE HUMIDITY; SEASONAL VARIATION; TROPOSPHERE;

EID: 84904488716     PISSN: 08948755     EISSN: None     Source Type: Journal    
DOI: 10.1175/JCLI-D-13-00497.1     Document Type: Article

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