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typhoon hato path


Furthermore, the various bulk schemes tend to differ considerably in terms of the number of interactions between microphysical particles, which means different simulations using different bulk schemes produce results with large dispersion [22]. See here for a complete list of exchanges and delays. He, Y. Feng, and J. Mao, “Cloud-scale simulation study of Typhoon Hagupit (2008) part I: microphysical processes of the inner core and three-dimensional structure of the latent heat budget,”, J. Li, G. Wang, W. Lin, Q.

REUTERS/Tyrone Siu, People look at a flooded playground after Typhoon Hato hit Hong Kong.

It reached the peak strength (48 m/s, 940 hPa) at 0300 UTC on August 23 and made landfall at the coastal city of Zhuhai, Guangdong Province, at 0450 UTC with a maximum wind speed of 45 m/s. We are committed to sharing findings related to COVID-19 as quickly as possible. At least 121 cases of injury were reported due to the passage of the storm.

Saturation adjustment assumes that supersaturation over water is forced to zero.

Typhoon Hato, known in the Philippines as Tropical Storm Isang, was a strong tropical cyclone that struck South China in August 2017. REUTERS/Tyrone Siu, Vehicle are seen floating on the sea after Typhoon Hato hits Macau.

First, we calculated the vertically integrated mixing ratios of cloud hydrometeors.

Recent rapid developments in computing technology and numerical modeling capability have enabled progress in simulation-based research using horizontal grid spacing with <5 km resolution.

[9] By this time, Hato was located in a favorable environment with low vertical wind shear and sea-surface temperatures (SSTs) of 30 °C (86 °F).

Boundary layer processes were parameterized using the Yonsei University planetary boundary layer scheme [33, 36, 38].

REUTERS/Tyrone Siu, A man walks through a flooded street as Typhoon Hato hits Hong Kong. In contrast, SBM schemes do not require an a priori functional form of the PSDs. Fan, L. R. Leung, D. Rosenfeld et al., “Microphysical effects determine macrophysical response for aerosol impacts on deep convective clouds,”, A. P. Khain, V. Phillips, N. Benmoshe, and A. Pokrovsky, “The role of small soluble aerosols in the microphysics of deep maritime clouds,”, X. Li, W.-K. Tao, A. P. Khain, J. Simpson, and D. E. Johnson, “Sensitivity of a cloud-resolving model to bulk and explicit bin microphysical schemes—part I: comparisons,”, X. Li, W.-K. Tao, A. P. Khain, J. Simpson, and D. E. Johnson, “Sensitivity of a cloud-resolving model to bulk and explicit bin microphysical schemes—part II: cloud microphysics and storm dynamics interactions,”, B. H. Lynn, A. P. Khain, J. W. Bao et al., “The sensitivity of Hurricane Irene to aerosols and ocean coupling: simulations with WRF spectral bin microphysics,”, A. Khain, A. Pokrovsky, M. Pinsky, A. Seifert, V. Phillips, and Vaughan, “Simulation of effects of atmospheric aerosols on deep turbulent convective clouds using a spectral microphysics mixed-phase cumulus cloud model—part I: model description and possible applications,”, A. Khain, B. Lynn, and J. Shpund, “High resolution WRF simulations of Hurricane Irene: sensitivity to aerosols and choice of microphysical schemes,”, J. Liu, W. Zhong, S. Liu, and H. Lu, “Allocation difference analyses of water substances during typhoon landing processes,”, S. Liu, D. Tao, K. Zhao, M. Minamide, and F. Zhang, “Dynamics and predictability of the rapid intensification of super typhoon Usagi (2013),”, J. Li, K. Wu, F. Li, Y. Chen, Y. Huang, and Y. Feng, “Effects of latent heat in various cloud microphysics processes on autumn rainstorms with different intensities on Hainan Island, China,”, K.-B.

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