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Sensitivity of tropical cyclones to convective parameterization schemes in RegCM4

Villafuerte II, M. Q., Lambrento, J. C. R., Hodges, K. I., Cruz, F. T., Cinco, T. A. and Narisma, G. T. (2021) Sensitivity of tropical cyclones to convective parameterization schemes in RegCM4. Climate Dynamics. ISSN 0930-7575

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To link to this item DOI: 10.1007/s00382-020-05553-3

Abstract/Summary

This study investigates the sensitivity of simulated tropical cyclones (TC) affecting the Philippines to convective parameterization schemes (CPS) available for use in the Regional Climate Model Version 4 (RegCM4). Five ERA-Interim driven RegCM4 simulations, with a 25-km horizontal resolution, were conducted utilizing the CPS of Grell with Arakawa–Schubert closure (GR), Emanuel (EM), Kain–Fritsch (KF), Tiedtke (TE), and a combined Grell scheme over land and Emanuel over the ocean (GR-EM). Comparisons made between the model-simulated and the observed TCs covering a 30-year period (1981–2010) indicate that the EM scheme yields an annual-mean TC frequency that is closest to observations. The GR-EM scheme, on the other hand, closely reproduces the observed seasonal patterns of TC tracks, spatial pattern of TC track density, and lifespan, while the KF scheme is the only CPS that was able to simulate intense TCs (maximum wind speed > 40 m s–1) within the domain. In contrast, both the GR and TE schemes largely underestimated the TC frequency and were only able to simulate weak TCs (maximum wind speed < 17 m s–1). Such underestimation in the TC frequency and intensity in the GR and TE simulations can be attributed to the dry mid-tropospheric environment and the absence of a large area with positive low-level relative vorticity over the Pacific Ocean, which inhibit TC formation and further development over the area. These findings will be helpful in deciding which CPS is more appropriate to use in conducting TC-related model simulations in the context of the Philippine domain.

Item Type:Article
Refereed:Yes
Divisions:Faculty of Science > School of Mathematical, Physical and Computational Sciences > NCAS
Faculty of Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
ID Code:94535
Publisher:Springer

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