Published October 22, 2024
| Version v1
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A bibliometric analysis of convection-permitting model research
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Additional details
Related works
- Cites
- 10.1029/2011RG000369 (DOI)
Dates
- Submitted
-
2024-10-22
Software
- Repository URL
- http://www.vosviewer.com/
References
- Arakawa, A. (2004), The cumulus parameterization problem: Past, present, and future, J. Clim., 17(13), 2493–2525. Baldauf, M., Seifert, A., Förstner, J., Majewski, D., Raschendorfer, M., and Reinhardt, T.: Operational convective-scale numerical weather prediction with the COSMO model: Description and sensitivities, Mon. Weather Rev., 139, 3887–3905, 2011. Belter, C.W., Seidel, D.J. A Bibliometric Analysis of Climate Engineering Research. WIREs Clim. Chang. 2013, 4, 417–427. https://doi.org/10.1002/wcc.229 Bryan, G. H., Wyngaard, J. C., & Fritsch, J. M. (2003). Resolution requirements for the simulation of deep moist convection. Monthly Weather Review, 131(10), 2394–2416. https://doi.org/10.1175/1520-0493(2003)131%3C2394:rrftso%3E2.0.co;2 Buonomo, E., Savage, N., Dong, G., Becker, B., Jones, R. G., Tian, Z., & Sun, L. (2024). Tropical cyclone changes in convection‐permitting regional climate projections: A study over the Shanghai region. Journal of Geophysical Research: Atmospheres, 129, e2023JD038508. https://doi.org/10.1029/2023JD038508 Clark, P., Roberts, N., Lean, H., Ballard, S. P., & Charlton-Perez, C. (2016). Convection-permitting models: A step-change in rainfall forecasting: A step-change in rainfall forecasting. Meteorological Applications, 23(2), 165–181. https://doi.org/10.1002/met.1538 Coppola E, Sobolowski S, Pichelli E, Raffaele F, Ahrens B, Anders I et al (2020) A first-of-its-kind multi-model convection permitting ensemble for investigating convective phenomena over Europe and the Mediterranean. Clim Dyn 55:3–34. https://doi.org/10.1007/s00382-018-4521-8 Di Matteo G, Nardi P, Grego S, Guidi C. Bibliometric analysis of climate change vulnerability assessment research. Environ Sys Decisions. 2018;38(4):508–16.