Zobrazeno 1 - 10
of 114
pro vyhledávání: '"Storm tracking"'
Publikováno v:
Data in Brief, Vol 55, Iss , Pp 110736- (2024)
This paper describes a dataset of convective systems (CSs) associated with hailstorms over Brazil tracked using GOES-16 Advanced Baseline Imager (ABI) measurements and the Tracking and Analysis of Thunderstorms (TATHU) tool. The dataset spans from Ju
Externí odkaz:
https://doaj.org/article/f7ed35aa877d4d4a814cf7587449043f
Publikováno v:
Gaoyuan qixiang, Vol 42, Iss 6, Pp 1536-1547 (2023)
The radar climatology characteristics of convection in southeastern Gansu Province during the warm season （June to August）were investigated using Tianshui Doppler radar data that filtered by “Maximum Method” and tracking statistics by “TITA
Externí odkaz:
https://doaj.org/article/4392e47261954c5e835c3200aacb67a7
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
Akademický článek
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Autor:
Julia Crook, Cornelia Klein, Sonja Folwell, Christopher M. Taylor, Douglas J. Parker, Rachel Stratton, Thorwald Stein
Publikováno v:
Earth and Space Science, Vol 6, Iss 5, Pp 818-835 (2019)
Abstract Convection‐permitting models perform better at representing the diurnal cycle and the intermittency of convective rainfall over land than parameterized‐convection models. However, most of the previous model assessments have been from an
Externí odkaz:
https://doaj.org/article/e2e98225165f4a6793466c81bc0865fb
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 11, Iss 1, Pp 360-375 (2019)
Abstract We present a highly simplified model to describe the diurnal evolution of a convective cloud field in idealized large eddy simulations. The life cycles of individual precipitation events are detected by a storm tracking algorithm which recor
Externí odkaz:
https://doaj.org/article/3e45e2454ced4befb09e266e3698aa3f
Autor:
Zhe Feng, L. Ruby Leung, Robert A. Houze Jr., Samson Hagos, Joseph Hardin, Qing Yang, Bin Han, Jiwen Fan
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 10, Iss 7, Pp 1470-1494 (2018)
Abstract Regional climate simulations over the continental United States were conducted for the 2011 warm season using the Weather Research and Forecasting model at convection‐permitting resolution (4 km) with two commonly used microphysics paramet
Externí odkaz:
https://doaj.org/article/2a18c2b3e353478caa31fe37d58f4d8e
Publikováno v:
Annals of the Association of American Geographers, 2003 Sep 01. 93(3), 544-556.
Externí odkaz:
https://www.jstor.org/stable/1515496
Autor:
Fan Han, Xuguang Wang
Publikováno v:
Atmosphere, Vol 12, Iss 11, p 1535 (2021)
The steady-state assumption commonly used in object-based tracking algorithms may be insufficient to determine the right track when a convective storm goes through a complicated evolution. Such an issue is exacerbated by the relatively coarse output
Externí odkaz:
https://doaj.org/article/dbb2bfcf0f614ffcab670501fc5af70d
Akademický článek
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