U.S. Department of EnergyOffice of Scientific and Technical Information
A North Atlantic synthetic tropical cyclone tracks, intensity, and rainfall dataset
Abstract
Tropical Cyclones (TCs) cause significant socio-economic damages to the US and Caribbean coastal regions annually, making it important to understand TC risk at the local-to-regional scales where their impacts are most prominent. However, the short length of the observed record and the substantial computational expense associated with high-resolution climate models make it difficult to assess TC risk using either approach. To overcome these challenges, we developed a database of synthetic TCs using the Risk Analysis Framework for Tropical Cyclones (RAFT). The database includes 50,000 synthetic TC tracks, along-track intensities and storm-induced precipitation. TC tracks generated in RAFT are in reasonable agreement with observations for spatial distribution of TC tracks and basin-scale distributions of TC translation speeds, lifetime maximum intensities and intensification rates. Also, spatial variations in coastal frequency and precipitation for landfalling TCs are well-reproduced in RAFT. In summary, the synthetic TC database based on RAFT provides a reasonable pathway for robust assessment of TC wind and rainfall risk for the US coastal regions and other areas affected by Atlantic TCs.
- Publication Date:
- DOE Contract Number:
- AC05-76RL01830
- Research Org.:
- Pacific Northwest National Laboratory 2
- Sponsoring Org.:
- DOE
- OSTI Identifier:
- 1983724
- DOI:
- https://doi.org/10.25584/1983724
Citation Formats
Xu, Wenwei, Balaguru, Karthik, Judi, David R, Rice, Julian R, and Leung, Lai-Yung. A North Atlantic synthetic tropical cyclone tracks, intensity, and rainfall dataset. United States: N. p., 2023.
Web. doi:10.25584/1983724.
Xu, Wenwei, Balaguru, Karthik, Judi, David R, Rice, Julian R, & Leung, Lai-Yung. A North Atlantic synthetic tropical cyclone tracks, intensity, and rainfall dataset. United States. doi:https://doi.org/10.25584/1983724
Xu, Wenwei, Balaguru, Karthik, Judi, David R, Rice, Julian R, and Leung, Lai-Yung. 2023.
"A North Atlantic synthetic tropical cyclone tracks, intensity, and rainfall dataset". United States. doi:https://doi.org/10.25584/1983724. https://www.osti.gov/servlets/purl/1983724. Pub date:Fri Jun 02 00:00:00 EDT 2023
@article{osti_1983724,
title = {A North Atlantic synthetic tropical cyclone tracks, intensity, and rainfall dataset},
author = {Xu, Wenwei and Balaguru, Karthik and Judi, David R and Rice, Julian R and Leung, Lai-Yung},
abstractNote = {Tropical Cyclones (TCs) cause significant socio-economic damages to the US and Caribbean coastal regions annually, making it important to understand TC risk at the local-to-regional scales where their impacts are most prominent. However, the short length of the observed record and the substantial computational expense associated with high-resolution climate models make it difficult to assess TC risk using either approach. To overcome these challenges, we developed a database of synthetic TCs using the Risk Analysis Framework for Tropical Cyclones (RAFT). The database includes 50,000 synthetic TC tracks, along-track intensities and storm-induced precipitation. TC tracks generated in RAFT are in reasonable agreement with observations for spatial distribution of TC tracks and basin-scale distributions of TC translation speeds, lifetime maximum intensities and intensification rates. Also, spatial variations in coastal frequency and precipitation for landfalling TCs are well-reproduced in RAFT. In summary, the synthetic TC database based on RAFT provides a reasonable pathway for robust assessment of TC wind and rainfall risk for the US coastal regions and other areas affected by Atlantic TCs.},
doi = {10.25584/1983724},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Jun 02 00:00:00 EDT 2023},
month = {Fri Jun 02 00:00:00 EDT 2023}
}