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DOI | 10.1007/s00382-017-3558-4 |
MJO simulation in CMIP5 climate models: MJO skill metrics and process-oriented diagnosis | |
Ahn, Min-Seop1; Kim, Daehyun2; Sperber, Kenneth R.3; Kang, In-Sik1,7; Maloney, Eric4; Waliser, Duane5; Hendon, Harry6 | |
2017-12-01 | |
发表期刊 | CLIMATE DYNAMICS |
ISSN | 0930-7575 |
EISSN | 1432-0894 |
出版年 | 2017 |
卷号 | 49 |
文章类型 | Article |
语种 | 英语 |
国家 | South Korea; USA; Australia; Saudi Arabia |
英文摘要 | The Madden-Julian Oscillation (MJO) simulation diagnostics developed by MJO Working Group and the process-oriented MJO simulation diagnostics developed by MJO Task Force are applied to 37 Coupled Model Intercomparison Project phase 5 (CMIP5) models in order to assess model skill in representing amplitude, period, and coherent eastward propagation of the MJO, and to establish a link between MJO simulation skill and parameterized physical processes. Process-oriented diagnostics include the Relative Humidity Composite based on Precipitation (RHCP), Normalized Gross Moist Stability (NGMS), and the Greenhouse Enhancement Factor (GEF). Numerous scalar metrics are developed to quantify the results. Most CMIP5 models underestimate MJO amplitude, especially when outgoing longwave radiation (OLR) is used in the evaluation, and exhibit too fast phase speed while lacking coherence between eastward propagation of precipitation/convection and the wind field. The RHCP-metric, indicative of the sensitivity of simulated convection to low-level environmental moisture, and the NGMS-metric, indicative of the efficiency of a convective atmosphere for exporting moist static energy out of the column, show robust correlations with a large number of MJO skill metrics. The GEF-metric, indicative of the strength of the column-integrated longwave radiative heating due to cloud-radiation interaction, is also correlated with the MJO skill metrics, but shows relatively lower correlations compared to the RHCP- and NGMS-metrics. Our results suggest that modifications to processes associated with moisture-convection coupling and the gross moist stability might be the most fruitful for improving simulations of the MJO. Though the GEF-metric exhibits lower correlations with the MJO skill metrics, the longwave radiation feedback is highly relevant for simulating the weak precipitation anomaly regime that may be important for the establishment of shallow convection and the transition to deep convection. |
英文关键词 | MJO CMIP5 models MJO skill metric MJO process-oriented diagnostics Moisture sensitivity of convection Normalized gross moist stability Greenhouse enhancement factor |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000415579000023 |
WOS关键词 | MADDEN-JULIAN OSCILLATION ; MOIST STATIC ENERGY ; TROPICAL INTRASEASONAL OSCILLATION ; OUTGOING LONGWAVE RADIATION ; COUPLED EQUATORIAL WAVES ; GENERAL-CIRCULATION MODELS ; 1997-98 EL-NINO ; PART I ; CONVECTIVE PARAMETERIZATION ; PHYSICAL PROCESSES |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/35946 |
专题 | 气候变化 |
作者单位 | 1.Seoul Natl Univ, Sch Earth & Environm Sci, Seoul, South Korea; 2.Univ Washington, Dept Atmospher Sci, Seattle, WA 98195 USA; 3.Lawrence Livermore Natl Lab, Program Climate Model Diag & Intercomparison, Livermore, CA 94550 USA; 4.Colorado State Univ, Dept Atmospher Sci, Ft Collins, CO 80523 USA; 5.CALTECH, Jet Prop Lab, Pasadena, CA USA; 6.Ctr Australian Weather & Climate Res, Melbourne, Vic, Australia; 7.King Abdulaziz Univ, Ctr Excellence Climate Change Res, Jeddah, Saudi Arabia |
推荐引用方式 GB/T 7714 | Ahn, Min-Seop,Kim, Daehyun,Sperber, Kenneth R.,et al. MJO simulation in CMIP5 climate models: MJO skill metrics and process-oriented diagnosis[J]. CLIMATE DYNAMICS,2017,49. |
APA | Ahn, Min-Seop.,Kim, Daehyun.,Sperber, Kenneth R..,Kang, In-Sik.,Maloney, Eric.,...&Hendon, Harry.(2017).MJO simulation in CMIP5 climate models: MJO skill metrics and process-oriented diagnosis.CLIMATE DYNAMICS,49. |
MLA | Ahn, Min-Seop,et al."MJO simulation in CMIP5 climate models: MJO skill metrics and process-oriented diagnosis".CLIMATE DYNAMICS 49(2017). |
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