globalchange  > 气候变化事实与影响
DOI: 10.1175/JCLI-D-13-00497.1
Scopus记录号: 2-s2.0-84904488716
论文题名:
Process-oriented MJO simulation diagnostic: Moisture sensitivity of simulated convection
作者: Kim D.; Xavier P.; Maloney E.; Wheeler M.; Waliser D.; Sperber K.; Hendon H.; Zhang C.; Neale R.; Hwang Y.-T.; Liu H.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2014
卷: 27, 期:14
起始页码: 5379
结束页码: 5395
语种: 英语
Scopus关键词: 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
英文摘要: Process-oriented diagnostics for Madden-Julian oscillation (MJO) simulations are being developed to facilitate improvements in the representation of the MJO in weather and climate models. These processoriented diagnostics are intended to provide insights into how parameterizations of physical processes in climate models should be improved for a better MJO simulation. This paper proposes one such processoriented diagnostic, which is designed to represent sensitivity of simulated convection to environmental moisture: composites of a relative humidity (RH) profile based on precipitation percentiles. The ability of the RH composite diagnostic to represent the diversity of MJO simulation skill is demonstrated using a group of climate model simulations participating in phases 3 and 5 of the Coupled Model Intercomparison Project (CMIP3 and CMIP5). A set of scalar process metrics that captures the key physical attributes of the RH diagnostic is derived and their statistical relationship with indices that quantify the fidelity of the MJO simulation is tested. It is found that a process metric that represents the amount of lower-tropospheric humidity increase required for a transition from weak to strong rain regimes has a robust statistical relationship with MJO simulation skill. The results herein suggest that moisture sensitivity of convection is closely related to a GCM's ability to simulate the MJO. © 2014 American Meteorological Society.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/51030
Appears in Collections:气候变化事实与影响

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作者单位: Lamont-Doherty Earth Observatory, Columbia University, Palisades, NY, United States; Department of Atmospheric Sciences, University of Washington, Seattle, WA, United States; Met Office Hadley Centre, Exeter, United Kingdom; Department of Atmospheric Science, Colorado State University, Fort Collins, CO, United States; Centre for Australian Weather and Climate Research, Melbourne, Australia; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States; Lawrence Livermore National Laboratory, PCMDI, Livermore, CA, United States; Rosenstiel School of Marine and Atmospheric Science, Miami, FL, United States; National Center for Atmospheric Research, Boulder, CO, United States; Department of Atmospheric Sciences, University of Washington, Seattle, WA, United States; Climate, Atmospheric Science, and Physical Oceanography, Scripps Institute of Oceanography, University of California San Diego, La Jolla, CA, United States

Recommended Citation:
Kim D.,Xavier P.,Maloney E.,et al. Process-oriented MJO simulation diagnostic: Moisture sensitivity of simulated convection[J]. Journal of Climate,2014-01-01,27(14)
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