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DOI | 10.1175/JCLI-D-20-0342.1 |
U.S. tropical cyclone activity in the 2030s based on projected changes in tropical sea surface temperature | |
Hall T.M.; Kossin J.P.; Thompson T.; McMahon J. | |
发表日期 | 2021 |
ISSN | 08948755 |
起始页码 | 1321 |
结束页码 | 1335 |
卷号 | 34期号:4 |
英文摘要 | We use a statistical tropical cyclone (TC) model, the North Atlantic Stochastic Hurricane Model (NASHM), in combination with sea surface temperature (SST) projections from climate models, to estimate regional changes in U.S. TC activity into the 2030s. NASHM is trained on historical variations in TC characteristics with two SST indices: global–tropical mean SST and the difference between tropical North Atlantic Ocean (NA) SST and the rest of the global tropics, often referred to as ‘‘relative SST.’’ Testing confirms the model’s ability to reproduce historical U.S. TC activity as well as to make skillful predictions. When NASHM is driven by SST projections into the 2030s, overall NA annual TC counts increase, and the fractional increase is the greatest at the highest wind intensities. However, an eastward anomaly in mean TC tracks and an eastward shift in TC formation region result in a geographically varied signal in U.S. coastal activity. Florida’s Gulf Coast is projected to see significant increases in TC activity relative to the long-term historical mean, and these increases are fractionally greatest at the highest intensities. By contrast, the northwestern U.S. Gulf Coast and the U.S. East Coast will see little change. Ó 2021 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy |
英文关键词 | North America; Probability forecasts/models/distribution; Risk assessment; Stochastic models; Tropical cyclones |
语种 | 英语 |
scopus关键词 | Ability testing; Atmospheric temperature; Climate models; Hurricanes; Stochastic models; Stochastic systems; Storms; Submarine geophysics; Surface properties; Surface waters; Tropics; Well testing; American meteorological societies; Coastal activity; Copyright informations; North Atlantic Ocean; Sea surface temperature (SST); Tropical cyclone; Tropical cyclone activity; Wind intensity; Oceanography; climate modeling; regional pattern; risk assessment; sea surface temperature; stochasticity; tropical cyclone; weather forecasting; Atlantic Coast [North America]; Atlantic Coast [United States]; Atlantic Ocean; Atlantic Ocean (North); Florida [United States]; Gulf Coast [United States]; United States |
来源期刊 | Journal of Climate |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/178639 |
作者单位 | NASA Goddard Institute for Space Studies, New York, NY, United States; NOAA/National Centers for Environmental Information, Madison, WI, United States; Climate Service, Durham, NC, United States |
推荐引用方式 GB/T 7714 | Hall T.M.,Kossin J.P.,Thompson T.,et al. U.S. tropical cyclone activity in the 2030s based on projected changes in tropical sea surface temperature[J],2021,34(4). |
APA | Hall T.M.,Kossin J.P.,Thompson T.,&McMahon J..(2021).U.S. tropical cyclone activity in the 2030s based on projected changes in tropical sea surface temperature.Journal of Climate,34(4). |
MLA | Hall T.M.,et al."U.S. tropical cyclone activity in the 2030s based on projected changes in tropical sea surface temperature".Journal of Climate 34.4(2021). |
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