Abstract
Realistic simulations of the Madden-Julian oscillation (MJO) by global climate models (GCMs) remain a great challenge. To evaluate GCM simulations of the MJO, the U.S. CLIVAR MJO Working Group developed a standardized set of diagnostics, providing a comprehensive assessment of statistical properties of the MJO. Here, a suite of complementary diagnostics has been developed that provides discrimination and assessment of MJO simulations based on the perception that the MJO propagation has characteristic dynamic and thermodynamic structures. The new dynamics-oriented diagnostics help to evaluate whether a model produces eastward-propagating MJOs for the right reasons. The diagnostics include 1) the horizontal structure of boundary layer moisture convergence (BLMC) that moistens the lower troposphere to the east of a convection center, 2) the preluding eastward propagation of BLMC that leads the propagation of MJO precipitation by about 5 days, 3) the horizontal structure of 850-hPa zonal wind and its equatorial asymmetry (Kelvin easterly versus Rossby westerly intensity), 4) the equatorial vertical-longitudinal structure of the equivalent potential temperature and convective instability index that reflects the premoistening and predestabilization processes, 5) the equatorial vertical-longitudinal distribution of diabatic heating that reflects the multicloud structure of the MJO, 6) the upper-level divergence that reflects the influence of stratiform cloud heating, and 7) the MJO available potential energy generation that reflects the amplification and propagation of an MJO. The models that simulate better three-dimensional dynamic and thermodynamic structures of MJOs generally reproduce better eastward propagations. This evaluation identifies a number of shortcomings in representing dynamical and heating processes relevant to the MJO simulation and reveals potential sources of the shortcomings.
| Original language | English |
|---|---|
| Pages (from-to) | 3117-3135 |
| Number of pages | 19 |
| Journal | Journal of Climate |
| Volume | 31 |
| Issue number | 8 |
| DOIs | |
| State | Published - Apr 1 2018 |
| Externally published | Yes |
Funding
This work is supported by the National Science Foundation (Climate Dynamics Division Award AGS-1540783), the NOAA/CVP (NA15OAR4310177), and the Global Research Laboratory (GRL) Program of the Korean Ministry of Education, Science and Technology (MEST, 2011-0021927), as well as IBS-R028-D1. This is SOEST Publication Number 10323, IPRC Publication Number 1313, and Earth System Modeling Center (ESMC) Publication Number 202. This is PMEL Contribution Number 4664. Eric Maloney was supported by the National Science Foundation under Grant AGS-1441916 and the National Oceanic and Atmospheric Administration under Grants NA15OAR4310098 and NA15OAR4310099. DEW's contribution to this study was carried out on behalf of the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics 526 and Space Administration
Keywords
- Diagnostics
- Dynamics
- Intraseasonal variability
- Madden-Julian oscillation
- Model evaluation/performance