TITLE

MJO simulation in CMIP5 climate models: MJO skill metrics and process-oriented diagnosis

AUTHOR(S)
Ahn, Min-Seop; Kim, Daehyun; Sperber, Kenneth; Kang, In-Sik; Maloney, Eric; Waliser, Duane; Hendon, Harry
PUB. DATE
December 2017
SOURCE
Climate Dynamics;Dec2017, Vol. 49 Issue 11/12, p4023
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
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.
ACCESSION #
126245912

 

Related Articles

  • Monsoon intraseasonal oscillation and land-atmosphere interaction in an idealized model. Bellon, Gilles // Climate Dynamics;Sep2011, Vol. 37 Issue 5/6, p1081 

    A simple coupled model is used in a zonally-symmetric configuration to investigate the effect of land-atmosphere coupling on the Asian monsoon intraseasonal oscillation. The atmospheric model is a version of the Quasi-equilibrium Tropical Circulation Model with a prognostic atmospheric boundary...

  • Regional Simulation of the October and November MJO Events Observed during the CINDY/DYNAMO Field Campaign at Gray Zone Resolution. Wang, Shuguang; Sobel, Adam H.; Zhang, Fuqing; Sun, Y. Qiang; Yue, Ying; Zhou, Lei // Journal of Climate;Mar2015, Vol. 28 Issue 6, p2097 

    This study investigates the October and November MJO events observed during the Cooperative Indian Ocean Experiment on Intraseasonal Variability in the Year 2011 (CINDY)/Dynamics of the MJO (DYNAMO) field campaign through cloud-permitting numerical simulations. The simulations are compared to...

  • Impact of soil moisture-atmosphere coupling on European climate extremes and trends in a regional climate model. Jaeger, E.; Seneviratne, S. // Climate Dynamics;May2011, Vol. 36 Issue 9/10, p1919 

    Processes acting at the interface between the land surface and the atmosphere have a strong impact on the European summer climate, particularly during extreme years. These processes are to a large extent associated with soil moisture (SM). This study investigates the role of soil...

  • Moist Process Biases in Simulations of the Madden-Julian Oscillation Episodes Observed during the AMIE/DYNAMO Field Campaign. Hagos, Samson M.; Feng, Zhe; Burleyson, Casey D.; Zhao, Chun; Martini, Matus N.; Berg, Larry K. // Journal of Climate;Feb2016, Vol. 29 Issue 3, p1091 

    Two Madden-Julian oscillation (MJO) episodes observed during the 2011 Atmospheric Radiation Measurement Program MJO Investigation Experiment (AMIE)/DYNAMO field campaign are simulated using a regional model with various cumulus parameterizations, a regional cloud-permitting model, and a global...

  • Precipitation Partitioning, Tropical Clouds, and Intraseasonal Variability in GFDL AM2. Lin, Yanluan; Zhao, Ming; Ming, Yi; Golaz, Jean-Christophe; Donner, Leo J.; Klein, Stephen A.; Ramaswamy, V.; Xie, Shaocheng // Journal of Climate;Aug2013, Vol. 26 Issue 15, p5453 

    A set of Geophysical Fluid Dynamics Laboratory (GFDL) Atmospheric Model version 2 (AM2) sensitivity simulations by varying an entrainment threshold rate to control deep convection occurrence are used to investigate how cumulus parameterization impacts tropical cloud and precipitation...

  • Mechanism of Orographic Precipitation around the Meghalaya Plateau Associated with Intraseasonal Oscillation and the Diurnal Cycle. Sato, Tomonori // Monthly Weather Review;Jul2013, Vol. 141 Issue 7, p2451 

    Mesoscale processes that cause tremendous amounts of precipitation around the Meghalaya Plateau, northeast India, were investigated using a regional atmospheric model, with a particular focus on the possible role of an intraseasonal oscillation (ISO) and the diurnal cycle. A numerical experiment...

  • Moisture transport and intraseasonal variability in the South America monsoon system. Carvalho, Leila; Silva, Ana; Jones, Charles; Liebmann, Brant; Silva Dias, Pedro; Rocha, Humberto // Climate Dynamics;May2011, Vol. 36 Issue 9/10, p1865 

    This paper examines moisture transport on intraseasonal timescales over the continent and over the South Atlantic convergence zone (SACZ) during the South America (SA) summer monsoon. Combined Empirical Orthogonal Function analysis (EOFc) of Global Precipitation Climatology Project pentad...

  • Predictability of the Madden–Julian Oscillation Estimated Using Observational Data. Ruiqiang Ding; Jianping Li; Kyong-Hwan Seo // Monthly Weather Review;Mar2010, Vol. 138 Issue 3, p1004 

    Existing numerical models produce large error in simulating the Madden–Julian oscillation (MJO), thereby underestimating its predictability. In this paper, the predictability limit of the MJO is determined by the nonlinear local Lyapunov exponent approach, which provides an estimate of...

  • MJO and Convectively Coupled Equatorial Waves Simulated by CMEP5 Climate Models. MENG-PAI HUNG; JIA-LIN LIN; WANQIU WANG; DAEHYUN KIM; SHINODA, TOSHIAKI; WEAVER, SCOTT J. // Journal of Climate;Sep2013, Vol. 26 Issue 17, p6185 

    This study evaluates the simulation of the Madden-Julian oscillation (MJO) and convectively coupled equatorial waves (CCEWs) in 20 models from the Coupled Model Intercomparison Project (CMIP) phase 5 (CMIP5) in the Intergovernmental Panel on Climate Change (IPCC) Fifth Assessment Report (AR5)...

  • The Madden-Julian Oscillation in ECHAM6 and the Introduction of an Objective MJO Metric. Crueger, Traute; Stevens, Bjorn; Brokopf, Renate // Journal of Climate;May2013, Vol. 26 Issue 10, p3241 

    This study presents a quantitative evaluation of the simulated Madden-Julian oscillation (MJO) in an ensemble of 42 experiments performed with ECHAM6 and previous ECHAM versions. The ECHAM6 experiments differ in their parameter settings, resolution, and whether the atmosphere is coupled to an...

Share

Read the Article

Courtesy of THE LIBRARY OF VIRGINIA

Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics