Zobrazeno 1 - 4
of 4
pro vyhledávání: '"FENGFEI SONG"'
Publikováno v:
Geophysical Research Letters, Vol 50, Iss 4, Pp n/a-n/a (2023)
Abstract This study examines the deep convection populations and mesoscale convective systems (MCSs) simulated in the DYAMOND (DYnamics of the atmospheric general circulation modeled on non‐hydrostatic domains) winter project. A storm tracking algo
Externí odkaz:
https://doaj.org/article/f95fd9f0cb744f17b636075d2fcfd1da
Autor:
Jingyu Wang, L. Ruby Leung, Joseph Hardin, Robert A. Houze, Fengfei Song, William I. Gustafson, Cameron R. Homeyer, Zhe Feng
Publikováno v:
Journal of Climate. 32:7303-7328
The spatiotemporal variability and three-dimensional structures of mesoscale convective systems (MCSs) east of the U.S. Rocky Mountains and their large-scale environments are characterized across all seasons using 13 years of high-resolution radar an
Autor:
L. Ruby Leung, Zhe Feng, Fengfei Song, Robert A. Houze, Joseph Hardin, Jingyu Wang, Cameron R. Homeyer
Publikováno v:
Journal of Climate. 32:6749-6767
Mesoscale convective systems (MCSs) are frequently observed over the U.S. Great Plains during boreal spring and summer. Here, four types of synoptically favorable environments for spring MCSs and two types each of synoptically favorable and unfavorab
Autor:
Guang J. Zhang, Fengfei Song
Publikováno v:
Journal of Climate. 31:7385-7399
As the resolution of global climate model increases, whether trigger functions in current convective parameterization schemes still work remains unknown. In this study, the scale dependence of undilute and dilute dCAPE, Bechtold, and heated condensat