Capability and sensitivity of MPAS-A in simulating tropical cyclones over the South-West Indian Ocean

Donkin, Paige T.; Abiodun, Babatunde J.

doi:10.1007/s40808-022-01517-0

Cited by 4 publications

(2 citation statements)

References 51 publications

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“…In addition, MPAS has also been used for extreme weather (Zhao et al 2019;Tanimoune et al 2023), and of tropical cyclone (Davis et al 2016;Michaelis and Lackmann 2019;Zhang et al 2019;Lui et al 2020b;Donkin et al 2023) simulations. However, previous studies have focused more on the ability of MPAS model to produce meteorological elements at low and mid-latitudes, and have tended to simulate individual cases for short periods.…”

Section: Introductionmentioning

confidence: 99%

Impact of parameterization schemes on temperature simulation over China using the variable-resolution MPAS-A

BAI,

Sun

2024

Preprint

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In this study, we investigate how different physical parameterizations impact the simulation of surface (2 m) air temperature over China using the Model for Prediction Across Scales-Atmosphere (MPAS-A) with a customized 92-25 km variable resolution. All simulations use ERA-Interim reanalysis data as the initial conditions for three selected typical years (1987, 1998 and 2011), and seven sub-regions is divided to assess the performance of different parameterization schemes on varying climate types. We performed 12 simulations using combinations of two shortwave–longwave (SW-LW) radiation, three cumulus convective (CUM) and two microphysics (MP) schemes. Model performance is evaluated using CN05 observation. The simulation shows significant sensitivity to SW-LW schemes, with the large difference of RSME scores. And RRTMG exhibits lower bias over more than half of the sub-regions. The influence of CUM schemes is weaker than that of SW-LW schemes on surface air temperature simulation. GF shows best model BIAS over more sub-regions. Followed is KF. For the MP schemes, the difference between the simulation results of Thompson and WSM6 is not significant for the same time and sub-region. Further we analysis the influence of different parameterization combinations. RRTMG_Thompson_NTDK combination performs best relative to other combinations under all conditions, with higher spatial correlation coefficient, lower root-mean-square error and bias. The annual cycles of surface air temperature could also be reasonably reproduced. Our results indicate a better parametrization scheme configuration, evaluate the simulation performance of the MPAS model for surface air temperature over China, and provide a meaningful reference for future researches.

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Section: Introductionmentioning

confidence: 99%

Impact of parameterization schemes on temperature simulation over China using the variable-resolution MPAS-A

BAI,

Sun

2024

Preprint

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“…No literature is available regarding the numerical predictability of NIO TCs using the MPAS‐A model, and thus the present study may be considered as a first of its kind in this regard. However, MPAS‐A has been used in studies concerning rainfall variability and TC characteristics over other regions of the world (Donkin & Abiodun, 2022; Huang et al, 2022; Lui et al, 2021; Michaelis & Lackmann, 2019; Rios‐Berrios et al, 2020, 2022).…”

Section: Introductionmentioning

confidence: 99%

Comparing the atmospheric and ocean characteristics associated with two distinctly intensified pre‐monsoon tropical cyclones over the Bay of Bengal

Paul,

Panda,

Sarkar

et al. 2024

Quart J Royal Meteoro Soc

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Tropical cyclone (TC) Amphan is analyzed in terms of the various factors that governed the intensification process associated with it and compared with Fani. Furthermore, the TC radial characteristics and ocean productivity are examined. Notably, both TCs formed in the Bay of Bengal during the pre‐monsoon seasons of 2020 and 2019, respectively. For this study, both ocean and atmospheric parameters from various sources including global analyses, satellite observations, and outputs from Model for Prediction Across Scales‐Atmosphere (MPAS‐A) and Advanced Research Weather Research and Forecasting (WRF‐ARW), are considered. The results indicate a gradual decrease in vertical wind shear during Fani. In the case of Amphan, the increase in mid‐tropospheric relative humidity values is found to be substantial. The sea surface cooling after the passage of Amphan was higher than in the case of Fani. The higher sea surface temperature in the Amphan case corresponds to the lower aerosol loading (partly because of lockdown measures) than that of Fani in the pre‐cyclone phase. And the decrease (increase) in aerosol loading coincides with an increase (decrease) in the direct radiative forcing at the ocean surface. The Madden–Julian Oscillation played a greater role in the cyclogenesis of Fani, but Kelvin waves offered a major support in the case of Amphan. The warmer sea surface, higher tropical cyclone heat potential, and conducive ocean and atmospheric setting together supported the further intensification of Amphan to the supercyclone stage. The difference in chlorophyll concentration showed a significant variation, with higher positive values seen in the case of Amphan implicating greater vertical mixing. The numerical modeling effort indicated superior performance of MPAS‐A compared to WRF‐ARW in simulating the radial parameters of the TCs.

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Modeling seasonal typhoon genesis in the North West Pacific using probabilistic approaches

Hong,

Vinh

2024

Model. Earth Syst. Environ.

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Capability and sensitivity of MPAS-A in simulating tropical cyclones over the South-West Indian Ocean

Cited by 4 publications

References 51 publications

Impact of parameterization schemes on temperature simulation over China using the variable-resolution MPAS-A

Impact of parameterization schemes on temperature simulation over China using the variable-resolution MPAS-A

Comparing the atmospheric and ocean characteristics associated with two distinctly intensified pre‐monsoon tropical cyclones over the Bay of Bengal

Modeling seasonal typhoon genesis in the North West Pacific using probabilistic approaches

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