气候变化领域集成服务门户(CCPortal): An eye on the storm integrating a wealth of data for quickly advancing the physical understanding and forecasting of tropical cyclones

CCPortal

DOI	10.1175/BAMS-D-19-0020.1
	An eye on the storm integrating a wealth of data for quickly advancing the physical understanding and forecasting of tropical cyclones
	Hristova-Veleva S.M.; Peggy Li P.; Knosp B.; Vu Q.; Joseph Turk F.; Poulsen W.L.; Haddad Z.; Lambrigtsen B.; Stiles B.W.; Shen T.-P.; Niamsuwan N.; Tanelli S.; Sy O.; Seo E.-K.; Su H.; Vane D.G.; Chao Y.; Callahan P.S.; Scott Dunbar R.; Montgomery M.; Boothe M.; Tallapragada V.; Trahan S.; Wimmers A.J.; Holz R.; Reid J.S.; Marks F.; Vukicevic T.; Bhalachandran S.; Leighton H.; Gopalakrishnan S.; Navarro A.; Tapiador F.J.
发表日期	2020
ISSN	00030007
起始页码	E1718
结束页码	E1742
卷号	101 期号:10
英文摘要	Tropical cyclones (TCs) are among the most destructive natural phenomena with huge societal and economic impact. They form and evolve as the result of complex multiscale processes and nonlinear interactions. Even today the understanding and modeling of these processes is still lacking. A major goal of NASA is to bring the wealth of satellite and airborne observations to bear on addressing the unresolved scientific questions and improving our forecast models. Despite their significant amount, these observations are still underutilized in hurricane research and operations due to the complexity associated with finding and bringing together semicoincident and semicontemporaneous multiparameter data that are needed to describe the multiscale TC processes. Such data are traditionally archived in different formats, with different spatiotemporal resolution, across multiple databases, and hosted by various agencies. To address this shortcoming, NASA supported the development of the Jet Propulsion Laboratory (JPL) Tropical Cyclone Information System (TCIS)'a data analytic framework that integrates model forecasts with multiparameter satellite and airborne observations, providing interactive visualization and online analysis tools. TCIS supports interrogation of a large number of atmospheric and ocean variables, allowing for quick investigation of the structure of the tropical storms and their environments. This paper provides an overview of the TCIS's components and features. It also summarizes recent pilot studies, providing examples of how the TCIS has inspired new research, helping to increase our understanding of TCs. The goal is to encourage more users to take full advantage of the novel capabilities. TCIS allows atmospheric scientists to focus on new ideas and concepts rather than painstakingly gathering data scattered over several agencies. © 2020 American Meteorological Society
语种	英语
scopus关键词	Atmospheric structure; Forecasting; Hurricanes; NASA; Spacecraft propulsion; Storms; Tropics; Visualization; Airborne observations; Hurricane research; Interactive visualizations; Jet Propulsion Laboratory; Multiscale process; Natural phenomena; Nonlinear interactions; Spatio-temporal resolution; Data visualization
来源期刊	Bulletin of the American Meteorological Society
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/177807
作者单位	Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States; Department of Earth Science Education, Kongju National University, Gongju, South Korea; Joint Institute for Regional Earth System Science and Engineering, University of California, Los Angeles, Los Angeles, CA, United States; Naval Postgraduate School, Monterey, CA, United States; NOAA, National Center for Environmental Prediction/Environmental Modeling Center, College Park, MD, United States; NOAA/Earth System Research Laboratory/Global Systems Laboratory, CIRES, Boulder, CO, United States; Cooperative Institute for Meteorological Satellite Studies, University of Wisconsin-Madison, Madison, WI, United States; Marine Meteorology Division, Naval Research Laboratory, Monterey, CA, United States; NOAA, AMOL, Hurricane Research Division, Miami, FL, United States; Faculty of Physics, University of Belgrade, Belgrade, Serbia; Department of Earth System Science, Stanford University, Stanford, CA, United States; Rosenstiel Sch...
推荐引用方式 GB/T 7714	Hristova-Veleva S.M.,Peggy Li P.,Knosp B.,et al. An eye on the storm integrating a wealth of data for quickly advancing the physical understanding and forecasting of tropical cyclones[J],2020,101(10).
APA	Hristova-Veleva S.M..,Peggy Li P..,Knosp B..,Vu Q..,Joseph Turk F..,...&Tapiador F.J..(2020).An eye on the storm integrating a wealth of data for quickly advancing the physical understanding and forecasting of tropical cyclones.Bulletin of the American Meteorological Society,101(10).
MLA	Hristova-Veleva S.M.,et al."An eye on the storm integrating a wealth of data for quickly advancing the physical understanding and forecasting of tropical cyclones".Bulletin of the American Meteorological Society 101.10(2020).