Forecasts of MJO during DYNAMO in a coupled tropical channel model: impact of planetary boundary layer schemes
Hu, Y.; Wang, X.; Luo, J.-J.; Wang, D.; Yan, H.; Yuan, C.; Lin, X. (2022). Forecasts of MJO during DYNAMO in a coupled tropical channel model: impact of planetary boundary layer schemes. Atmosphere 13(5): 666. https://dx.doi.org/10.3390/atmos13050666
In: Atmosphere. MDPI AG: Basel. e-ISSN 2073-4433, more
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| Author keywords |
MJO simulation; coupled tropical channel model; planetary boundary layer parameterization scheme; MC barrier effect |
| Authors | | Top |
- Hu, Y.
- Wang, X.
- Luo, J.-J.
- Wang, D.
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- Yan, H.
- Yuan, C.
- Lin, X., more
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| Abstract |
It is challenging to predict the eastward-propagating Madden–Julian Oscillation (MJO) events across the Maritime Continent (MC) in models. We constructed an air–sea coupled numerical weather prediction model—a tropical channel model—to investigate the role of the planetary boundary layer (PBL) scheme on eastward-propagating and non-propagating MJO precipitation events during the Dynamics of the MJO (DYNAMO) campaign period. Analysis of three hindcast experiments with different PBL schemes illustrates that the PBL scheme is crucial to simulating the eastward-propagating MJO events. The experiment with the University of Washington (UW) PBL scheme can predict the convection activity over the MC due to a good representation of moist static energy (MSE) tendency relatively well. The horizontal advection and the upward transport of moisture from the PBL to the free atmosphere play a major role in the MSE tendency ahead of MJO convection. The difference in the meridional component of MSE advection accounts for the different MSE budgets in the three hindcast experiments. A well-simulated meridional advection can transport the meridional water vapor to moisten the MC. Our results suggest that a proper PBL scheme with better simulated meridional water vapor distribution is crucial to predicting the eastward propagation of MJO events across the MC in the tropical channel model. |
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