The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
The spatial distribution of severe thunderstorm and tornado environments from global reanalysis data
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Citations
Cites
The NCEP/NCAR 40-Year Reanalysis Project
Kalnay, E., Kanamitsu, M., Kistler, R., Collins, W., Deaven, D., Gandin, L., Iredell, M., Saha, S., White, G., Woollen, J., et al. (1996) · Bulletin of the American Meteorological Society · doi:10.1175/1520-0477(1996)077<0437:tnyrp>2.0.co;2 · Cited by 28,360
Statistical Methods in the Atmospheric Sciences
Ramsey, P. H. (1996) · Technometrics · doi:10.1080/00401706.1996.10484553 · Cited by 7,601
NDVI-derived land cover classifications at a global scale
DEFRIES, R. S., & TOWNSHEND, J. R. G. (1994) · International Journal of Remote Sensing · doi:10.1080/01431169408954345 · Cited by 1,053
A Baseline Climatology of Sounding-Derived Supercell andTornado Forecast Parameters
Rasmussen, E. N., & Blanchard, D. O. (1998) · Weather and Forecasting · doi:10.1175/1520-0434(1998)013<1148:abcosd>2.0.co;2 · Cited by 753
On the Environments of Tornadic and Nontornadic Mesocyclones
Brooks, H. E., Doswell, C. A., & Cooper, J. (1994) · Weather and Forecasting · doi:10.1175/1520-0434(1994)009<0606:oteota>2.0.co;2 · Cited by 297
Self-citation
Cited by
WHERE ARE THE MOST INTENSE THUNDERSTORMS ON EARTH?
Zipser, E. J., Cecil, D. J., Liu, C., Nesbitt, S. W., & Yorty, D. P. (2006) · Bulletin of the American Meteorological Society · doi:10.1175/bams-87-8-1057 · Cited by 991
The global lightning-induced nitrogen oxides source
Schumann, U., & Huntrieser, H. (2007) · Atmospheric Chemistry and Physics · doi:10.5194/acp-7-3823-2007 · Cited by 708
Monitoring and Understanding Trends in Extreme Storms: State of Knowledge
Kunkel, K. E., Karl, T. R., Brooks, H., Kossin, J., Lawrimore, J. H., Arndt, D., Bosart, L., Changnon, D., Cutter, S. L., Doesken, N., et al. (2013) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-11-00262.1 · Cited by 536
Self-citationRobust increases in severe thunderstorm environments in response to greenhouse forcing
Diffenbaugh, N. S., Scherer, M., & Trapp, R. J. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1307758110 · Cited by 419
Trapp, R. J., Diffenbaugh, N. S., Brooks, H. E., Baldwin, M. E., Robinson, E. D., & Pal, J. S. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0705494104 · Cited by 391
Self-citation
Metadata
- Authors
- Brooks, H. E., Lee, J. W., & Craven, J. P.
- Venue
- Atmospheric Research
- Publisher
- Elsevier BV
- Published
- 2003-07
- Volume
- 67-68
- Pages
- 73-94
- ISSN
- 0169-8095 (ISSN-L)
- OpenAlex
- W2149218990
- Cited by
- 656
- References
- 5
- FWCI
- 2.78
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: The spatial distribution of severe thunderstorm and tornado environments from global reanalysis data. https://app.cochat.ai/papers/10.1016/s0169-8095(03)00045-0
- The paper
- Brooks, H. E., Lee, J. W., & Craven, J. P. (2003). The spatial distribution of severe thunderstorm and tornado environments from global reanalysis data. Atmospheric Research. https://doi.org/10.1016/s0169-8095(03)00045-0
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
