@article{a87ef287ea6f414c8b9fbd118f946a2f,
title = "Lightning frequency in an idealized hurricane-like vortex from initial to steady-state using a coupled meteorological and explicit bulk lightning model",
abstract = "The dependence of lightning frequency on the life cycle of an idealized tropical cyclone (TC) was investigated using a three-dimensional meteorological model coupled with an explicit lightning model. To investigate this dependence, an idealized numerical simulation covering the initial state to the steady state (SS) of an idealized TC was conducted. The simulation was consistent with the temporal evolution of lightning frequency reported by previous observational studies. Our analyses showed that the dependence originates from changes in the types of convective cloud with lightning over the life cycle of the TC. Before rapid intensification (RI) and in the early stage of RI, convective cloud cells that form under high-convective available potential energy (CAPE) conditions are the main contributors to lightning. As the TC reaches the late stage of RI and approaches SS, the secondary circulation becomes prominent and convective clouds in the eyewall region alongside the secondary circulation gradually become the main contributors to the lightning. In the convective cloud cells formed under high-CAPE conditions, upward velocity is strong and large charge density is provided through noninductive charge separation induced by graupel collisions. This large charge density frequently induces lightning in the clouds. On the other hand, the vertical velocity in the eyewall is weak, and it tends to contribute to lightning only when the TC reaches the mature stage. Our analyses imply that the maximum lightning frequency that occurs before the maximum intensity of a TC corresponds to the stage of a TC's life cycle in which convective cloud cells are generated most frequently and moisten the upper troposphere.",
keywords = "Cloud microphysics, Cloud-resolving models, Clouds, Lightning, Tropical cyclones",
author = "Yousuke Sato and Yoshiaki Miyamoto and Hirofumi Tomita",
note = "Funding Information: Acknowledgments. This research is supported by JSPS Grant-in-Aid for Scientific Research (C) (Proposal 17K05659), JSPS Grant-in-Aid for Scientific Research (B) (Proposal 20H04196), JSPS KAKENHI Grant JP18H05872, RIKEN special postdoctoral fellow program (XXVII-008), Research Field of Hokkaido Weather Forecast and Technology Development (endowed by Hokkaido Weather Technology Center Co. Ltd.), The Mitsubishi Foundation, Support Program for Next Generation Supercomputer, Information Initiative Center of Hokkaido University, Initiative on Promotion of Supercomputing for Young or Women Researchers, Information Technology Center, The University of Tokyo, and the Cooperative Research Activities of Collaborative Use of Computing Facility of the Atmosphere and Ocean Research Institute, the University of Tokyo. This work was partly achieved through the use of the supercomputer system or the intercloud system at the information initiative center, Hokkaido University, Sapporo, Japan. SCALE library was developed by Team-SCALE of RIKEN Center for Computational Sciences and is available online (http:// r-ccs-climate.riken.jp/scale/). Some of the figures were created by Grid Analysis and Display System (GrADS: http://www.iges.org/ grads/grads.html), and Gnuplot. We thank Editage (https:// www.editage.com) and textcheck (http://www.textcheck.com) for English language editing. Publisher Copyright: {\textcopyright} 2021 American Meteorological Society.",
year = "2021",
month = feb,
doi = "10.1175/MWR-D-20-0110.1",
language = "English",
volume = "149",
pages = "753--771",
journal = "Monthly Weather Review",
issn = "0027-0644",
publisher = "American Meteorological Society",
number = "3",
}