Land-Based Convection Effects on Formation of Tropical Cyclone Mekkhala (2008)

Abstract

Park, Myung-Sook, et all, "Land-based convection effects on formation of tropical cyclone Mekkhala (2008 The Mekkhala tropical depression develops when an intense, well-organized land-based mesoscale convective system moves offshore from Luzon and interacts with an oceanic mesoscale system embedded in a strong monsoon westerly flow. Because of this interaction, a midtropospheric mesoscale convective vortex (MCV) organizes offshore from Luzon, where monsoon convection continues to contribute to low-level vorticity enhancement below the midlevel vortex center. In the no-land experiments, widespread oceanic convection induces a weaker midlevel vortex farther south in a strong vertical wind shear zone and subsequently farther east in a weaker monsoon vortex region. Thus, the monsoon convection-induced low-level vorticity remained separate from the midtropospheric MCV, which finally resulted in a failure of the low-level spinup. This study suggests that land-based convection can play an advantageous role in TC formation by influencing the intensity and the placement of the incipient midtropospheric MCV to be more favorable for TC low-level circulation development.

Precipitation stable isotopic signatures of tropical cyclones in Metropolitan Manila, Philippines show significant negative isotopic excursions

“…Some of these TCs have intense rainfall areas over other parts of the Philippines and are characterized by a variable track, likely influenced by land interactions. Land interaction reduces TC strength and can lead to rain out caused by orographic effects induced by the north-south oriented mountain ranges (Park et al, 2017;Xie and Zhang, 2012;Xu et al, 2019).…”

Examining the Predictability of Tropical Cyclogenesis over the East Sea of Vietnam through the Ensemble-Based Data Assimilation System

“…While TC genesis depends largely on their geographical location, TCs forming and developing over the VES usually have a shorter life than traversing TCs from the nearby open waters of WNP, as they make landfall shortly after forming near the coast. Surrounded by coastal areas, the process for TC genesis is far more complicated, with contributions from the physical properties of offshore convective systems and land-ocean contrasts [27,28].…”

Improvement of Tropical Cyclone Track Forecast over the Western North Pacific Using a Machine Learning Method

“…Despite advancements in observations and high computing system for the models, simulation still has a systematic error because of uncertainties in the computation of model and initial conditions. In order to reduce forecast error, there has been a lot of effort to improve forecast models related to physical processes, convection, ocean feedback and resolution (Islam et al, 2015;Park et al, 2008;Soden and Held, 2006;Kendon et al, 2012). Also, the performance of the forecast models has been improved by techniques related to initial condition (Kwon and Cheong, 2010;Cha et al, 2013), forcing data (Kang et al, 2005;Moon et al, 2019) and model output (Piani et al, 2010;Dosio and Paruolo, 2011).…”