Liang, J., Tan, M. L., Hawcroft, M., Catto, J. L., Hodges, K. I. ORCID: https://orcid.org/0000-0003-0894-229X and Haywood, J. M.
(2022)
Monsoonal precipitation over Peninsular Malaysia in the CMIP6 HighResMIP experiments: the role of model resolution.
Climate Dynamics, 58.
pp. 2783-2805.
ISSN 0930-7575
doi: 10.1007/s00382-021-06033-y
Abstract/Summary
This study investigates the ability of 20 model simulations which contributed to the CMIP6 HighResMIP to simulate precipitation in different monsoon seasons and extreme precipitation events over Peninsular Malaysia. The model experiments utilize common forcing but are run with different horizontal and vertical resolutions, which allows an investigation of the impact of model resolution on the simulation of precipitation. The impact of resolution on the models’ ability to simulate precipitation and associated environmental fields is assessed by comparing multi-model ensembles at different resolutions with three observed precipitation datasets and four climate reanalyses. Model simulations with relatively high horizontal and vertical resolution exhibit better performance in simulating the annual cycle of precipitation and extreme precipitation over Peninsular Malaysia and the coastal regions. Improvements associated with the increase in horizontal and vertical resolutions are also found in the statistical relationship between precipitation and monsoon intensity in different seasons, especially for the simulated precipitation at finer vertical resolutions during the southwest monsoon seasons. However, the increase in vertical resolution can lead to a reduction of annual mean precipitation compared to that from the models with low vertical resolutions, associated with an overestimation of moisture divergence and underestimation of lower-tropospheric vertical ascent in the different monsoon seasons. This limits any improvement in the simulation of precipitation in the high vertical resolution experiments, particularly for the Southwest monsoon season.
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Item Type | Article |
URI | https://reading-clone.eprints-hosting.org/id/eprint/99468 |
Item Type | Article |
Refereed | Yes |
Divisions | Science > School of Mathematical, Physical and Computational Sciences > NCAS Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology |
Publisher | Springer |
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