The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Environmental Factors Affecting Tropical Cyclone Power Dissipation
Abstract
Revised estimates of kinetic energy production by tropical cyclones in the Atlantic and western North Pacific are presented. These show considerable variability on interannual-to-multidecadal time scales. In the Atlantic, variability on time scales of a few years and more is strongly correlated with tropical Atlantic sea surface temperature, while in the western North Pacific, this correlation, while still present, is considerably weaker. Using a combination of basic theory and empirical statistical analysis, it is shown that much of the variability in both ocean basins can be explained by variations in potential intensity, low-level vorticity, and vertical wind shear. Potential intensity variations are in turn factored into components related to variations in net surface radiation, thermodynamic efficiency, and average surface wind speed. In the Atlantic, potential intensity, low-level vorticity, and vertical wind shear strongly covary and are also highly correlated with sea surface temperature, at least during the period in which reanalysis products are considered reliable. In the Pacific, the three factors are not strongly correlated. The relative contributions of the three factors are quantified, and implications for future trends and variability of tropical cyclone activity are discussed.
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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
Increasing destructiveness of tropical cyclones over the past 30 years.
Emanuel, K. (2005) · Nature · doi:10.1038/nature03906 · Cited by 4,013
Self-citationChanges in tropical cyclone number, duration, and intensity in a warming environment
Webster, P. J., Holland, G. J., Curry, J. A., & Chang, H.-R. (2005) · Science · doi:10.1126/science.1116448 · Cited by 3,237
An Air-Sea Interaction Theory for Tropical Cyclones. Part I: Steady-State Maintenance
Emanuel, K. A. (1986) · Journal of the Atmospheric Sciences · doi:10.1175/1520-0469(1986)043<0585:aasitf>2.0.co;2 · Cited by 1,923
Self-citationThe dependence of hurricane intensity on climate
Emanuel, K. A. (1987) · Nature · doi:10.1038/326483a0 · Cited by 999
Self-citationUse of a Genesis Potential Index to Diagnose ENSO Effects on Tropical Cyclone Genesis
Camargo, S. J., Emanuel, K. A., & Sobel, A. H. (2007) · Journal of Climate · doi:10.1175/jcli4282.1 · Cited by 816
Self-citationWestern North Pacific Tropical Cyclone Intensity and ENSO
Camargo, S. J., & Sobel, A. H. (2005) · Journal of Climate · doi:10.1175/jcli3457.1 · Cited by 774
Knutson, T. R., & Tuleya, R. E. (2004) · Journal of Climate · doi:10.1175/1520-0442(2004)017<3477:iocwos>2.0.co;2 · Cited by 730
Dissipative heating and hurricane intensity
Bister, M., & Emanuel, K. A. (1998) · Meteorology and Atmospheric Physics · doi:10.1007/bf01030791 · Cited by 646
Self-citationThe Impact of the Saharan Air Layer on Atlantic Tropical Cyclone Activity
Dunion, J. P., & Velden, C. S. (2004) · Bulletin of the American Meteorological Society · doi:10.1175/bams-85-3-353 · Cited by 632
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Tropical cyclones and climate change
Knutson, T. R., McBride, J. L., Chan, J., Emanuel, K., Holland, G., Landsea, C., Held, I., Kossin, J. P., Srivastava, A. K., & Sugi, M. (2010) · Nature Geoscience · doi:10.1038/ngeo779 · Cited by 3,194
Self-citationTropical cyclones and climate change
Walsh, K. J. E., McBride, J. L., Klotzbach, P. J., Balachandran, S., Camargo, S. J., Holland, G., Knutson, T. R., Kossin, J. P., Lee, T., Sobel, A., et al. (2016) · WIREs Climate Change · doi:10.1002/wcc.371 · Cited by 837
Downscaling CMIP5 climate models shows increased tropical cyclone activity over the 21st century
Emanuel, K. A. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1301293110 · Cited by 832
Self-citationMonitoring 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-citationWalsh, J., Wuebbles, D., Hayhoe, K., Kossin, J., Kunkel, K., Stephens, G., Thorne, P., Vose, R., Wehner, M., Willis, J., et al. (2014) · doi:10.7930/j0kw5cxt · Cited by 423
Human influence on tropical cyclone intensity
Sobel, A. H., Camargo, S. J., Hall, T. M., Lee, C.-Y., Tippett, M. K., & Wing, A. A. (2016) · Science · doi:10.1126/science.aaf6574 · Cited by 420
Knutson, T. R., Sirutis, J. J., Vecchi, G. A., Garner, S., Zhao, M., Kim, H.-S., Bender, M., Tuleya, R. E., Held, I. M., & Villarini, G. (2013) · Journal of Climate · doi:10.1175/jcli-d-12-00539.1 · Cited by 381
Hurricane Harvey Links to Ocean Heat Content and Climate Change Adaptation
Trenberth, K. E., Cheng, L., Jacobs, P., Zhang, Y., & Fasullo, J. (2018) · Earth's Future · doi:10.1029/2018ef000825 · Cited by 339
Skilful multi-year predictions of Atlantic hurricane frequency
Smith, D. M., Eade, R., Dunstone, N. J., Fereday, D., Murphy, J. M., Pohlmann, H., & Scaife, A. A. (2010) · Nature Geoscience · doi:10.1038/ngeo1004 · Cited by 277
Thermodynamic Foundations of the Earth System
Kleidon, A. (2016) · doi:10.1017/cbo9781139342742 · Cited by 133
The impact of climate model sea surface temperature biases on tropical cyclone simulations.
Hsu, W.-C., Patricola, C. M., & Chang, P. (2019) · Climate Dynamics · doi:10.1007/s00382-018-4577-5 · Cited by 51
Typhoon activity and some important parameters in the South China Sea
Haghroosta, T., & Ismail, W. R. (2017) · Weather and Climate Extremes · doi:10.1016/j.wace.2017.07.002 · Cited by 33
Metadata
- Authors
- Emanuel, K.
- Venue
- Journal of Climate
- Publisher
- American Meteorological Society
- Published
- 2007-11-15
- Volume
- 20
- Issue
- 22
- Pages
- 5497-5509
- ISSN
- 0894-8755 (ISSN-L)
- 1520-0442
- OpenAlex
- W2075837663
- Cited by
- 309
- References
- 30
- FWCI
- 9.55
- Type
- journal article
- Language
- en
- Open access
- closed
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