The parametric sensitivity of CAM5's MJO
Abstract
Abstract We systematically explore the ability of the Community Atmospheric Model version 5 (CAM5) to simulate the Madden‐Julian Oscillation (MJO), through an analysis of MJO metrics calculated from a 1100‐member perturbed parameter ensemble of 5 year simulations with observed sea surface temperatures. Parameters from the deep convection scheme make the greatest contribution to the variance in MJO simulation quality with a much smaller contribution from parameters in the large‐scale cloud, shallow convection, and boundary layer turbulence schemes. Improved MJO variability results from a larger lateral entrainment rate and a reduction in the precipitation efficiency of deep convection that was achieved by a smaller autoconversion of cloud to rainwater and a larger evaporation of convective precipitation. Unfortunately, simulations with an improved MJO also have a significant negative impact on the climatological values of low‐level cloud and absorbed shortwave radiation, suggesting that structural in addition to parametric modifications to CAM5's parameterization suite are needed in order to simultaneously well simulate the MJO and mean‐state climate.
- Authors:
-
- Program for Climate Model Diagnosis and Intercomparison Lawrence Livermore National Laboratory Livermore California USA, Retired
- Program for Climate Model Diagnosis and Intercomparison Lawrence Livermore National Laboratory Livermore California USA
- Publication Date:
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1402261
- Grant/Contract Number:
- DE‐AC52‐07NA27344
- Resource Type:
- Publisher's Accepted Manuscript
- Journal Name:
- Journal of Geophysical Research: Atmospheres
- Additional Journal Information:
- Journal Name: Journal of Geophysical Research: Atmospheres Journal Volume: 120 Journal Issue: 4; Journal ID: ISSN 2169-897X
- Publisher:
- American Geophysical Union (AGU)
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Boyle, J. S., Klein, S. A., Lucas, D. D., Ma, H. ‐Y., Tannahill, J., and Xie, S. The parametric sensitivity of CAM5's MJO. United States: N. p., 2015.
Web. doi:10.1002/2014JD022507.
Boyle, J. S., Klein, S. A., Lucas, D. D., Ma, H. ‐Y., Tannahill, J., & Xie, S. The parametric sensitivity of CAM5's MJO. United States. https://doi.org/10.1002/2014JD022507
Boyle, J. S., Klein, S. A., Lucas, D. D., Ma, H. ‐Y., Tannahill, J., and Xie, S. Tue .
"The parametric sensitivity of CAM5's MJO". United States. https://doi.org/10.1002/2014JD022507.
@article{osti_1402261,
title = {The parametric sensitivity of CAM5's MJO},
author = {Boyle, J. S. and Klein, S. A. and Lucas, D. D. and Ma, H. ‐Y. and Tannahill, J. and Xie, S.},
abstractNote = {Abstract We systematically explore the ability of the Community Atmospheric Model version 5 (CAM5) to simulate the Madden‐Julian Oscillation (MJO), through an analysis of MJO metrics calculated from a 1100‐member perturbed parameter ensemble of 5 year simulations with observed sea surface temperatures. Parameters from the deep convection scheme make the greatest contribution to the variance in MJO simulation quality with a much smaller contribution from parameters in the large‐scale cloud, shallow convection, and boundary layer turbulence schemes. Improved MJO variability results from a larger lateral entrainment rate and a reduction in the precipitation efficiency of deep convection that was achieved by a smaller autoconversion of cloud to rainwater and a larger evaporation of convective precipitation. Unfortunately, simulations with an improved MJO also have a significant negative impact on the climatological values of low‐level cloud and absorbed shortwave radiation, suggesting that structural in addition to parametric modifications to CAM5's parameterization suite are needed in order to simultaneously well simulate the MJO and mean‐state climate.},
doi = {10.1002/2014JD022507},
journal = {Journal of Geophysical Research: Atmospheres},
number = 4,
volume = 120,
place = {United States},
year = {Tue Feb 17 00:00:00 EST 2015},
month = {Tue Feb 17 00:00:00 EST 2015}
}
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