Vertical structure and physical processes of the Madden-Julian oscillation: Synthesis and summary

Journal of Geophysical Research

Volumn 120, Issue 10, 2015, Pages 4671-4689

  Klingaman, Nicholas P ^a   Jiang, Xianan ^b,c   Xavier, Prince K ^d   Petch, Jon ^d   Waliser, Duane ^b,c   Woolnough, Steven J ^a  

^a UNIVERSITY OF READING   (United Kingdom)

^b Los Angeles   (United States)

^c CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

^d MET OFFICE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

AMPLITUDE; ATMOSPHERIC CONVECTION; DIABATIC PROCESS; DIURNAL VARIATION; GENERAL CIRCULATION MODEL; HEATING; HINDCASTING; MADDEN-JULIAN OSCILLATION; MOISTURE; MOMENTUM; RELATIVE HUMIDITY; TROPICAL METEOROLOGY; TROPOSPHERE;

EID: 84932198690     PISSN: 01480227     EISSN: 21562202     Source Type: Journal    
DOI: 10.1002/2015JD023196     Document Type: Article

References (55)

1. Benedict, J. J., and E. D. Maloney (2013), Tropical intraseasonal variability in version 3 of the GFDL atmosphere model, J. Clim., 26, 426-449.
2. Benedict, J. J., and D. A. Randall (2009), Structure of the Madden-Julian oscillation in the superparameterized CAM, J. Clim., 66, 3277-3296.
3. Benedict, J. J., E. D. Maloney, A. H. Sobel, and D. M. Frierson (2014), Gross moist stability and MJO simulation in three full-physics GCMs, J. Atmos. Sci., 71, 3327-3349.
4. Boyle, J. S., S. Klein, G. Zhang, S. Xie, and X. Wei (2008), Climate model forecast experiments for TOGA COARE, Mon.Weather Rev., 136, 808-832.
5. Cai, Q., G. J. Zhang, and T. Zhou (2013), Impacts of shallowconvection on MJO simulation: Amoist static energy andmoisture budget analysis, J. Clim., 26, 2417-2431.
6. Chen, Y., E. E. Ebert, K. J. E. Walsh, and N. E. Davidson (2013), Evaluation of TRMM 3B42 precipitation estimates of tropical cyclone rainfall using PACRAIN data, J. Geophys. Res. Atmos., 118, 2184-2196, doi:10.1002/jgrd.50250.
7. de Boisséson, E., M. A. Balmaseda, F. Vitart, and K. Mogensen (2012), Impact of the sea surface temperature forcing on hindcasts of Madden-Julian oscillation events using the ECMWF model, Ocean Sci., 8, 1071-1084.
8. Del Genio, A. D., Y. Chen, Y. Kim, and Y. Mao-Sung (2012), The MJO transition from shallow to deep convection in CloudSat/CALIPSO data and GISS GCM simulations, J. Clim., 25, 3755-3770.
9. Hannah, W. M., and E. D. Maloney (2011), The role of moisture-convection feedbacks in simulating the Madden-Julian oscillation, J. Clim., 24, 2754-2770.
10. Hazeleger, W., et al. (2012), EC-Earth v2.2: Description and validation of a new seamless Earth system prediction model, Clim. Dyn., 39, 2611-2629.
11. Hirons, L. C., P. Inness, F. Vitart, and P. Bechtold (2013), Understanding advances in the simulation of intraseasonal variability in the ECMWF model. Part II: The application of process-based diagnostics, Q. J. R. Meteorol. Soc., 139, 1427-1444, doi:10.1002/qj.2059.
12. Hsu, P.-C., T. Li, and H. Murakami (2014), Moisture asymmetry and MJO eastward propagation in an aquaplanet general circulation model, J. Clim., 27, 8747-8760.
13. Huffman, G. J., R. F. Adler, D. T. Bolvin, G. Gu, E. J. Nelkin, K. P. Bowman, Y. Hong, E. F. Stocker, and D. B. Wolff (2007), The TRMM multi-satellite precipitation analysis: Quasi-global, multi-year, combined-sensor precipitation estimates at fine scale, J. Hydrometeorol., 8, 38-55.
14. Hung, M.-P., J.-L. Lin, W. Wang, D. Kim, T. Shinoda, and S. J. Weaver (2013),MJO and convectively coupled equatorialwaves simulated by CMIP5 climate models, J. Clim., 26, 6185-6214.
15. Inness, P. M., J. M. Slingo, E. Guilyardi, and J. Cole (2001), Organization of tropical convection in a GCM with varying vertical resolution: Implications for the simulation of the Madden-Julian Oscillation, Clim. Dyn., 17, 777-793.
16. Jiang, X., et al. (2015), Vertical structure and physical processes of the Madden-Julian oscillation: Exploring key model physics in climate simulations, J. Geophys. Res. Atmos., doi:10.1002/2014JD022375.
17. Kim, D., A. H. Sobel, A. D. Del Genio, Y. Chen, S. J. Camargo, M.-S. Yao, M. Kelley, and L. Nazarenko (2012), The tropical subseasonal variability simulated in the NASA GISS general circulation model, J. Clim., 25, 4641-4659.
18. Kim, D., J.-S. Kug, and A. H. Sobel (2014), Propagating vs. non-propagating Madden-Julian oscillation events, J. Clim., 27, 111-125.
19. Kim, H.-M., C. D. Hoyos, P. J. Webster, and I.-S. Kang (2008), Sensitivity of MJO simulation and predictability to sea surface temperature variability, J. Clim., 21, 5304-5317.
20. Klingaman, N. P., and S. J. Woolnough (2014), Using a case-study approach to improve the Madden-Julian oscillation in the Hadley Centre model, Q. J. R. Meteorol. Soc., 140, 2491-2505.
21. Klingaman, N. P., et al. (2015), Vertical structure and physical processes of theMadden-Julian oscillation: Linking hindcast fidelity to simulated diabatic heating and moistening, J. Geophys. Res. Atmos., doi:10.1002/2014JD022374.
22. Lin, J.-L., K. M. Weickman, G. N. Kiladis, B. E. Mapes, S. D. Schubert, M. J. Suarez, J. T. Bacmeister, and M.-I. Lee (2008), Subseasonal variability associated with Asian summer monsoon simulated by 14 IPCC AR4 coupled GCMs, J. Clim., 21, 4542-4566.
23. Madden, R. A., and P. R. Julian (1971), Detection of a 40-50 day oscillation in the zonal wind in the tropical Pacific, J. Atmos. Sci., 28, 702-708.
24. Madden, R. A., and P. R. Julian (1972), Description of global-scale circulation cells in the tropics with a 40-50 day period, J. Atmos. Sci., 29, 1109-1123.
25. Maloney, E. D., X. Jiang, S.-P. Xie, and J. Benedict (2014), Process-oriented diagnosis of East Pacific warm pool intraseasonal variability, J. Clim., 27, 6305-6324.
26. Merryfield, W. J., W.-S. Lee, G. J. Boer, V. V. Kharin, J. F. Scinocca, G. M. Flato, R. S. Ajayamohan, J. C. Fyfe, Y. Tang, and S. Polavarapu (2013), The Canadian seasonal to interannual prediction system. Part I: Models and initialization, Mon.Weather Rev., 141, 2910-2945.
27. Moncrieff, M. W., D. E. Waliser, M. J. Miller, M. A. Shapiro, G. R. Asrar, and J. Caughey (2012), Multiscale convective organisation and the YOTC virtual global field campaign, Bull. Amer. Meteor. Soc., 93, 1171-1187.
28. Morrison, H., and A. Gettelman (2008), A new two-moment bulk stratiform cloudmicrophysics scheme in the community atmospheremodel, version 3 (cam3), J. Clim., 21, 3642-3659.
29. Neale, R. B., et al. (2012), Description of the NCAR Atmospheric model: CAM5.0, Tech. Rep. NCAR/TN-486+STR, Natl. Cent. for Atmos. Res., Boulder, Colo.
30. Neelin, J. D., and I. M. Held (1987), Modeling tropical convergence based on the moist static energy budget, Mon.Weather Rev., 115, 3-12.
31. Petch, J., D. Waliser, X. Jiang, P. K. Xavier, and S. Woolnough (2011), A globalmodel intercomparison of the physical processes associated with the Madden-Julian oscillation. GEWEX News, August, pp. 5.
32. Pritchard, M. S. (2014), Causal evidence that rotational moisture advection is critical to the superparameterized Madden-Julian oscillation, J. Atmos. Sci., 71, 800-815.
33. Raymond, D. J., S. S. Sessions, A. H. Sobel, and Z. Fuchs (2009), The mechanics of gross moist stability, J. Adv. Model. Earth Syst., 1, 9, doi:10.3894/JAMES.2009.1.9.
34. Rienecker, M. M., et al. (2008), The GEOS-5 data assimilation system: Documentation of version 5.0.1, 5.1.0 and 5.2.0, Tech. Rep. Series on Global Modeling and Data Assimilation, National Aeronautics and Space Administration, Greenbelt, Md.
35. Ruppert, J. H., and R. H. Johnson (2015), The pre-onset stage of the Madden-Julian oscillation during DYNAMO, J. Atmos. Sci., 72, 1622-1647, doi:10.1175/JAS-D-14-0218.1.
36. Schmidt, G., et al. (2014), Configuration and assessment of the GISS ModelE2 contributions to the CMIP5 archive, J. Adv. Model. Earth Syst., 6, 141-184.
37. Sobel, A. H., and E. M. Maloney (2013), Moisture modes and the eastward propagation of the MJO, J. Atmos. Sci., 70, 187-192.
38. Sobel, A. H., S. Wang, and D. Kim (2014), Moist static energy budget of the MJO during DYNAMO, J. Atmos. Sci., 71, 4276-4291.
39. Song, X., and G. J. Zhang (2011), Microphysics parameterization for convective clouds in a global climate model: Description and single-column model tests, J. Geophys. Res., 116, D02201, doi:10.1029/2010JD014833.
40. Song, X., G. J. Zhang, and J.-L. F. Li (2012), Evaluation of microphysics parameterization for convective clouds in the NCAR Community Atmosphere Model CAM5, J. Clim., 25, 8568-8590.
41. Thayer-Calder, K., and D. A. Randall (2009), The role of convective moistening in the Madden-Julian oscillation, J. Atmos. Sci., 66, 3297-3312.
42. Vitart, F. (2014), Evolution of ECMWF sub-seasonal forecast skill scores, Q. J. R. Meteorol. Soc., 683, 1889-1899.
43. Voldoire, A., et al. (2013), The CNRM-CM5.1 global climate model: Description and basic evaluation, Clim. Dyn., 40, 2091-2121.
44. Waliser, D. E., et al. (2012), The “Year” of tropical convection (May 2008-April 2010), Bull. Am. Meteorol. Soc., 93, 1189-1218.
45. Walters, D. N., et al. (2011), The MET office unified model global atmosphere 3.0/3.1 and JULES Global Land 3.0/3.1 configurations, Geosci. Model Dev., 4, 919-941.
46. Wang, W., and M. E. Schlesinger (1999), The dependence on convective parameterization of the tropical intraseasonal oscillation simulated by the UIUC 11-layer atmospheric GCM, J. Clim., 12, 1423-1457.
47. Watanabe, M., et al. (2010), Improved climate simulation by MIROC5: Mean states, variability and climate sensitivity, J. Clim., 23, 6312-6335.
48. Wheeler, M. C., and H. H. Hendon (2004), An all-season real-time multivariate MJO index: Development of an index for monitoring and prediction, Mon.Weather Rev., 132, 1917-1932, doi:10.1175/1520-0493(2004)132<1917:AARMMI>2.0.CO;2.
49. Williams, K. D., A. Bodas-Salcedo, M. Déqué, S. Fermepin, B. Medeiros, M. Watanabe, C. Jakob, S. A. Klein, C. A. Senior, and D. L. Williamson (2013), The Transpose-AMIP II experiment and its application to the understanding of Southern Ocean cloud biases in climate mdoels, J. Clim., 26, 3258-3274.
50. Woolnough, S. J., et al. (2010), Modelling convective processes during the suppressed phase of a Madden-Julian oscillation: Comparing single-column models with cloud-resolving models, Q. J. R. Meteorol. Soc., 136, 333-353.
51. Xavier, P. K. (2012), Intraseasonal convective moistening in CMIP3 models, J. Clim., 25, 2569-2577.
52. Xavier, P. K., et al. (2015), Vertical structure and physical processes of the Madden-Julian oscillation: Biases and uncertainties at short range, J. Geophys. Res. Atmos., doi:10.1002/2014JD022718.
53. Yoneyama, K., C. Zhang, and C. N. Long (2013), Tracking pulses of the Madden-Julian oscillation, Bull. Am. Meteorol. Soc., 94, 1871-1891.
54. Yukimoto, S., et al. (2012), A new global model of meteorological research institute: MRI-CGCM3-model description and basic performance, J. Meteorol. Soc. Jpn., 90A, 23-64.
55. Zhang, C. (2005), Madden-Julian oscillation, Rev. Geophys., 43, RG2003, doi:10.1029/2004RG000158.