The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
A Technique for Combining Global Tropical Cyclone Best Track Data
Abstract
Best track data generally consist of the positions and intensities during the life cycle of a tropical cyclone. Despite the widespread interest in the distribution, frequency, and intensity of tropical cyclones worldwide, no publicly available central repository of global best track data from international agencies has been in existence. While there are numerous international centers that forecast tropical cyclones and archive best track data for their defined regions, most researchers traditionally use best track data from a very small subset of centers to construct global datasets and climatologies. This practice results in tropical cyclones that are either missed and/or misrepresented. While the process of combining positions and intensities from disparate data sources can be arduous, it is worthwhile and necessary in light of their importance. The nature of historical best track data is that they are prone to issues with intensity (maximum surface wind and minimum central pressure), especially in the presatellite era. This study is not a reanalysis effort and makes no attempt to correct any longstanding debates about the accuracy of the historical data. Rather, it simply and objectively combines all of the best track data from each of the regional forecast centers that provided best tracks into one single point for distribution, and the methods used to construct the dataset are the focus of this work. Processes are therefore described herein that detail the combining of tropical cyclone best track data with the techniques used to assess the quality of the minimum central pressure and maximum sustained wind speed of each reported tropical cyclone. The result is a comprehensive global best track compilation dataset that contains information on all documented tropical cyclones: the International Best Track Archive for Climate Stewardship (IBTrACS).
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“For our analysis of tropical cyclone forecasting, we used the IBTrACS [28, 29, 31, 30] archive to construct the ground truth dataset. This includes historical cyclone tracks from around a dozen authoritative sources.”
From Learning skillful medium-range global weather forecasting (2023) · cites this paper as [30]
Citations
Cites
Increasing destructiveness of tropical cyclones over the past 30 years.
Emanuel, K. (2005) · Nature · doi:10.1038/nature03906 · Cited by 4,013
Have tropical cyclones been feeding more extreme rainfall?
Lau, K. ‐., Zhou, Y. P., & Wu, H. ‐. (2008) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2008jd009963 · Cited by 126
Flagged first, then by citations
Research works printed but not linked: 14
- Dupigny-Giroux, 2007, NOAA’s Climate Database Modernization Program rescuing, archiving, and digitizing history., Bull. Amer. Meteor. Soc., 88, 1015, 10.1175/BAMS-88-7-1015 · DOI
- Dvorak, 1975, Tropical cyclone intensity analysis and forecasting from satellite imagery., Mon. Wea. Rev., 103, 420, 10.1175/1520-0493(1975)103<0420:TCIAAF>2.0.CO;2 · DOI
- Fernandez-Partagas, 1996, Atlantic hurricanes in the second half of the nineteenth century., Bull. Amer. Meteor. Soc., 77, 2899, 10.1175/1520-0477(1996)077<2899:AHITSH>2.0.CO;2 · DOI
- Hui, 2007, Comparison of three tropical cyclone intensity datasets., Acta Meteor. Sin., 1, 121
- Kaplan, 2003, Large-scale characteristics of rapidly intensifying tropical cyclones in the North Atlantic basin., Wea. Forecasting, 18, 1093, 10.1175/1520-0434(2003)018<1093:LCORIT>2.0.CO;2 · DOI
- Klotzbach, 2006, Trends in global tropical cyclone activity over the past twenty years., Geophys. Res. Lett., 33, L10805, 10.1029/2006GL025881 · DOI
- Knaff, 2007, Reexamination of tropical cyclone wind–pressure relationships., Wea. Forecasting, 22, 71, 10.1175/WAF965.1 · DOI
- Knapp, 2007, New global tropical cyclone data from ISCCP B1 geostationary satellite observations., J. Appl. Remote Sens., 1, 013505, 10.1117/1.2712816 · DOI
- Knapp, 2009, Archive compiles new resource for global tropical cyclone research., Eos, Trans. Amer. Geophys. Union, 90, 10.1029/2009EO060002 · DOI
- Koba, 1990, Relationships between CI number and minimum sea level pressure or maximum wind speed of tropical cyclones., J. Meteor. Res., 42, 59
- Kossin, 2007, A globally consistent reanalysis of hurricane variability and trends., Geophys. Res. Lett., 34, L04815, 10.1029/2006GL028836 · DOI
- Rew, 1990, NetCDF—An interface for scientific data access., Comput. Graphics Appl. IEEE, 10, 76, 10.1109/38.56302 · DOI
- Velden, 2006, The Dvorak tropical cyclone intensity estimation technique: A satellite-based method that has endured for over 30 years., Bull. Amer. Meteor. Soc., 87, 1195, 10.1175/BAMS-87-9-1195 · DOI
- Wu, 2006, Trends in western North Pacific tropical cyclone intensity., Eos, Trans. Amer. Geophys. Union, 87, 10.1029/2006EO480001 · DOI
Cited by
Sorted by citations
Learning skillful medium-range global weather forecasting
Lam, R., Sanchez-Gonzalez, A., Willson, M., Wirnsberger, P., Fortunato, M., Alet, F., Ravuri, S., Ewalds, T., Eaton-Rosen, Z., Hu, W., et al. (2023) · Science · doi:10.1126/science.adi2336 · Cited by 1,466
Metadata
- Authors
- Kruk, M. C., Knapp, K. R., & Levinson, D. H.
- Affiliations
- STG, Inc., Asheville, North Carolina
- National Oceanic and Atmospheric Administration (US)
- Corresponding author
- Kruk, Michael C.
- Venue
- Journal of Atmospheric and Oceanic Technology
- Publisher
- American Meteorological Society
- Published
- 2010-04-01
- Volume
- 27
- Issue
- 4
- Pages
- 680-692
- ISSN
- 0739-0572 (ISSN-L)
- 1520-0426
- OpenAlex
- W2099289891
- Cited by
- 98
- References
- 2
- Citations by year
- 2026: 7 · 2025: 8 · 2024: 14 · 2023: 9 · 2022: 2 · 2021: 9 · 2020: 4 · 2019: 5 · 2018: 5 · 2016: 7 · 2015: 4 · 2014: 4 · 2013: 3 · 2012: 5
- FWCI
- 3.21
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Atmospheric and Oceanic Technology (publishedVersion)
- Topics
- Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Tropical and Extratropical Cyclones Research
- Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
- Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Meteorological Phenomena and Simulations
- Keywords
- tropical cyclones, best track data, IBTrACS, data merging, minimum central pressure, maximum sustained wind speed, tropical cyclone intensity, data quality assessment
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review