Climate Change Data Portal
DOI | 10.1029/2020JD034202 |
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 |
ISSN | 2169897X |
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 |
推荐引用方式 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). |
条目包含的文件 | 条目无相关文件。 |
个性服务 |
推荐该条目 |
保存到收藏夹 |
导出为Endnote文件 |
谷歌学术 |
谷歌学术中相似的文章 |
[Feng Z.]的文章 |
[Leung L.R.]的文章 |
[Liu N.]的文章 |
百度学术 |
百度学术中相似的文章 |
[Feng Z.]的文章 |
[Leung L.R.]的文章 |
[Liu N.]的文章 |
必应学术 |
必应学术中相似的文章 |
[Feng Z.]的文章 |
[Leung L.R.]的文章 |
[Liu N.]的文章 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。