Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1007/s00382-018-4071-0 |
A long-term tropical mesoscale convective systems dataset based on a novel objective automatic tracking algorithm | |
Huang, Xiaomeng1,2,3; Hu, Chenqi1,2; Huang, Xing1,2,4; Chu, Yang5; Tseng, Yu-heng6; Zhang, Guang Jun1,2,7; Lin, Yanluan1,2 | |
2018-10-01 | |
发表期刊 | CLIMATE DYNAMICS
![]() |
ISSN | 0930-7575 |
EISSN | 1432-0894 |
出版年 | 2018 |
卷号 | 51页码:3145-3159 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China; England; Taiwan; USA |
英文摘要 | Mesoscale convective systems (MCSs) are important components of tropical weather systems and the climate system. Long-term data of MCS are of great significance in weather and climate research. Using long-term (1985-2008) global satellite infrared (IR) data, we developed a novel objective automatic tracking algorithm, which combines a Kalman filter (KF) with the conventional area-overlapping method, to generate a comprehensive MCS dataset. The new algorithm can effectively track small and fast-moving MCSs and thus obtain more realistic and complete tracking results than previous studies. A few examples are provided to illustrate the potential application of the dataset with a focus on the diurnal variations of MCSs over land and ocean regions. We find that the MCSs occurring over land tend to initiate in the afternoon with greater intensity, but the oceanic MCSs are more likely to initiate in the early morning with weaker intensity. A double peak in the maximum spatial coverage is noted over the western Pacific, especially over the southwestern Pacific during the austral summer. Oceanic MCSs also persist for approximately 1h longer than their continental counterparts. |
英文关键词 | Mesoscale convective systems Objective tracking Area-overlapping Kalman filter |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000444947600044 |
WOS关键词 | SATELLITE INFRARED IMAGERY ; CLOUD CLUSTERS ; LIFE-CYCLE ; GLOBAL PRECIPITATION ; WESTERN PACIFIC ; DEEP CONVECTION ; PART I ; CLIMATOLOGY ; IDENTIFICATION ; METHODOLOGY |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/35725 |
专题 | 气候变化 |
作者单位 | 1.Tsinghua Univ, Minist Educ, Key Lab Earth Syst Modeling, Beijing 100084, Peoples R China; 2.Tsinghua Univ, Dept Earth Syst Sci, Beijing 100084, Peoples R China; 3.Qingdao Natl Lab Marine Sci & Technol, Lab Reg Oceanog & Numer Modeling, Qingdao 266237, Peoples R China; 4.Natl Supercomp Ctr Wuxi, Wuxi 214072, Peoples R China; 5.Imperial Coll, Dept Elect & Elect Engn, London, England; 6.Natl Taiwan Univ, Inst Oceanog, Taipei, Taiwan; 7.Scripps Inst Oceanog, La Jolla, CA USA |
推荐引用方式 GB/T 7714 | Huang, Xiaomeng,Hu, Chenqi,Huang, Xing,et al. A long-term tropical mesoscale convective systems dataset based on a novel objective automatic tracking algorithm[J]. CLIMATE DYNAMICS,2018,51:3145-3159. |
APA | Huang, Xiaomeng.,Hu, Chenqi.,Huang, Xing.,Chu, Yang.,Tseng, Yu-heng.,...&Lin, Yanluan.(2018).A long-term tropical mesoscale convective systems dataset based on a novel objective automatic tracking algorithm.CLIMATE DYNAMICS,51,3145-3159. |
MLA | Huang, Xiaomeng,et al."A long-term tropical mesoscale convective systems dataset based on a novel objective automatic tracking algorithm".CLIMATE DYNAMICS 51(2018):3145-3159. |
条目包含的文件 | 条目无相关文件。 |
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。
修改评论