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DOI10.1029/2020JD034202
A Global High-Resolution Mesoscale Convective System Database Using Satellite-Derived Cloud Tops, Surface Precipitation, and Tracking
Feng Z.; Leung L.R.; Liu N.; Wang J.; Houze R.A.; Jr.; Li J.; Hardin J.C.; Chen D.; Guo J.
发表日期2021
ISSN2169897X
卷号126期号:8
英文摘要A new methodology is developed to construct a global (60°S–60°N) long-term (2000–2019) high-resolution (∼10-km h) mesoscale convective system (MCS) database by tracking MCS jointly using geostationary satellite infrared brightness temperature (Tb) and precipitation feature (PF) characteristics from the Integrated Multi-satellitE Retrievals for GPM precipitation data sets. Independent validation shows that the satellite-based MCS data set is able to reproduce important MCS statistics derived from ground-based radar network observations in the United States and China. We show that by carefully considering key PF characteristics in addition to Tb signatures, the new method significantly improves upon previous Tb-only methods in detecting MCSs in the midlatitudes for all seasons. Results show that MCSs account for over 50% of annual total rainfall across most of the tropical belt and in selected regions of the midlatitudes, with a strong seasonality over many regions of the globe. The tracking database allows Lagrangian aspects such as MCS lifetime and translational speed and direction to be analyzed. The longest-lived MCSs preferentially occur over the subtropical oceans. The land MCSs have higher cloud-tops associated with more intense convection, and oceanic MCSs have much higher rainfall production. While MCSs are observed in many regions of the globe, there are fundamental differences in their dynamic and thermodynamic structures that warrant a better understanding of processes that control their evolution. This global database provides significant opportunities for observational and modeling studies of MCSs, their characteristics, and roles in regional and global water and energy cycles, as well as their hydrologic and other impacts. © 2021. Battelle Memorial Institute.
英文关键词convective clouds; global climatology; mesoscale convection; precipitation; satellite observations; storm tracking
语种英语
来源期刊Journal of Geophysical Research: Atmospheres
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/185296
作者单位Division of Atmospheric Sciences and Global Change, Pacific Northwest National Laboratory, Richland, WA, United States; Department of Atmospheric Sciences, University of Washington, Seattle, WA, United States; State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China
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GB/T 7714
Feng Z.,Leung L.R.,Liu N.,et al. A Global High-Resolution Mesoscale Convective System Database Using Satellite-Derived Cloud Tops, Surface Precipitation, and Tracking[J],2021,126(8).
APA Feng Z..,Leung L.R..,Liu N..,Wang J..,Houze R.A..,...&Guo J..(2021).A Global High-Resolution Mesoscale Convective System Database Using Satellite-Derived Cloud Tops, Surface Precipitation, and Tracking.Journal of Geophysical Research: Atmospheres,126(8).
MLA Feng Z.,et al."A Global High-Resolution Mesoscale Convective System Database Using Satellite-Derived Cloud Tops, Surface Precipitation, and Tracking".Journal of Geophysical Research: Atmospheres 126.8(2021).
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