Impact of greenhouse gas concentrations on tropical storms in coupled seasonal forecasts
References
-
Broccoli
, A. J.and Manabe, S.. Can existing climate models be used to study anthropogenic changes in tropical cyclone climate?. 17, 1917– 1920. -
Bengtsson
, L., Botzet, M.and Esh, M.. Will greenhouse gas-induced warming over the next 50 years lead to a higher frequency and greater intensity of hurricanes?, 57– 73. -
Camargo
, S. J., Barnston, A. G.and Zebiak, S. E.. A statistical assessment of tropical cyclone activity in atmospheric general circulation models. Tellus, 589– 604. -
Chan
, J. C. L., 1713. -
Landsea
, C. W.. Hurricanes and global warming. Nature, E 11—E12. -
Doblas-Reyes
, E J., Hagedorn, R.and Palmer, T. N.. The rationale behind the success of multi-model ensembles in seasonal forecasting. part II: Calibration and combination. Tellus, 234– 252. -
Doblas-Reyes
, E J., Hagedorn, R., Palmer, T. N.and Morcrette, J.-J.. Impact of increasing greenhouse gas concentrations in seasonal ensemble forecasts. Geophys. Res. Lett. 33, L07708, doi: 10.1029/2005GL025061. -
Emanuel
, K. A.. Increasing destructiveness of tropical cyclones over the past 30 years. Nature, 686– 688. -
Gray
, W. M.. Hurricanes: Their formation, structure and likely role in the tropical circulation . In: Meteorology over the Tropical Oceans (ed.), Roy. Meteor. Soc., 155– 218. -
Haarsma
, R. J., Mitchell, J. F. B.and Senior, C. A.. Tropical disturbances in a GCM. Climate Dyn. 8, 247– 257. -
Hagedorn
, R., Doblas-Reyes, E J.and Palmer, T. N.. The rationale behind the success of multi-model ensembles in seasonal forecasting. part I: Basic concept. Tellus, 219– 233. -
Holland
, G. J.. The maximum potential intensity of tropical cyclones.. 54, 2519– 2541. -
Jolliffe
, I. T.and Stephenson, D. B.. Forecast verification: A practitioner’s guide in atmospheric science . Wiley, New York. -
Knutson
, T. R.and Tuleya, R. E.. Increased hurricane intensity in a CO2-warmed climate. Science, 1018– 1020. -
Knutson
, T. R.and Tuleya, R. E.. Impact of CO2-induced warming on simulated hurricane intensity and precipitation: sensitivity to the choice of climate model and convective parameterization. J. Climate, 3477– 3495. -
Neumann
, C. J., Jarvinen, B. R., McAdie, C. J., and Elms., . Historical Climatology Series . NOAA, 6-2, 193 pp. -
Oouchi
, K., Yoshimura, J., Yoshimura, H., Kusunolci, S.and Noda, A.. Tropical cyclone climatology in a global-warming Climate as simulated in 1 20 km-mesh global atmospheric model: frequency and wind intensity analyses. J. Meteorol. Soc. Japan, 259– 276. -
Palmer
, T. N., Alessandri, A., Andersen, U., Cantelaube, P., Davey, M., Delecluse, P., Deque, M., Diez, E., Doblas-Reyes, F. J., Feddersen, H., Graham, R., Gualdi, S., Gueremy, J.-F., Hagedorn, R., Hoshen, M., Keenlyside, N., Latif, M., Lazar, A., Maisonnave, E., Marletto, V., Morse, A. P., Orfila, B., Rogel, P., Terres, J.-M.and Thomson, M. C.. Development of a European multi-model ensemble system for seasonal to inter-annual prediction (DEMETER). Bull. Amer Meteor Soc. 85, 853– 872. -
Royer
, J. F., Chauvin, E, Timbal, B., Araspin, P.and Grimal, D.. A GCM study of the impact of greenhouse gas increase on the frequency of occurrence of tropical cyclones. Climatic Change, 307– 343. -
Ryan
, B. E, Watterson, I. G.and Evans, J. L.. Tropical cyclone frequency inferred from Gray’s yearly genesis parameter: validation of GCM tropical climate. Geophys. Res. Lett. 19, 1831– 1834. -
Shen
, W., Tuleya, T. R.and Ginis, I.. A sensitivity study of the thermodynamical environment on GFDL model hurricane intensity: Implications for global warming. J. Climate, 978– 1002. -
Stephenson
, D. B., Coelho, C. A. D. S., Doblas-Reyes, J. F.and Balmaseda, M.. Forecast assimilation: a unified framework for the combination of multimodel weather and climate predictions. Taus, 253– 264. -
Sugi
, M., Noda, A.and Sato, N.. Influence of the global warming on tropical cyclone climatology: An experiment with the .TMA global model. J. Meteor. Soc. Japan, 249– 272. -
Uppala
, S. M., Kllberg, P. W., Simmons, A. J., Andrae, U., da Costa Bechtold, V., Fiorino, M., Gibson, J. K., Haseler, J., Hernandez, A., Kelly, G. A., Li, X., Onogi, K., Saarinen, S., Soklca, N., Allan, R. P., Andersson, E., Arpe, K., Balmaseda, M. A., Beljaars, A. C. M., van de Berg, L., Bidlot, J., Bormann, N., Caires, S., Chevallier, E, Dethof, A., Dragosavac, M., Fisher, M., Fuentes, M., Hagemann, S., Him, E., Hoskins, B. J., Isalcsen, L., Janssen, P. A. E. M., Jenne, R., McNally, A. P., Mahfouf, J.-F., Morcrette, J.-J., Rayner, N. A., Saunders, R. W., Simon, P., Sterl, A., Trenberth, K. E., Untch, A., Vasiljevic, D., Viterbo, P.and Woollen, J.. The ERA-40 Reanalysis. Quart. J. Roy. Meteor Soc. 131, 2691– 3012. -
Vitart
, F.. Seasonal forecasting of tropical storm frequency using a multi-model ensemble. Quart. J. Roy. Meteor Soc. 132, 647– 666. -
Vitart
, F.and Stockdale, T. N.. Seasonal forecasting of tropical storms using coupled GCM integrations.. 129, 2521– 2537. -
Vitart
, F., Anderson, J. L.and Stern, W. F.. Simulation of the inter-annual variability of tropical storm frequency in an ensemble of GCM integrations. J. Climate, 745– 760. -
Vitart
, F., Anderson, J. L., Sirutis, J.and Tuleya, R. E.. Sensitivity of tropical storms simulated by a general circulation model to changes in cumulus parametrization. Quart. J. Roy. Meteor Soc. 127, 25– 51. -
Webster
, P. J., Holland, G., J. A.and Chang, H.-R.. Science, 1844– 1846. -
Wonacott
, T. H.and Wonacott, R. J.. Introductory statistics. John Wiley, 650 pp.
DOI: https://doi.org/10.1111/j.1600-0870.2007.00237.x | Journal eISSN: 3035-9554
Language: English
Page range: 417 - 427
Submitted on: Aug 24, 2006
Accepted on: Feb 5, 2007
Published on: Jan 1, 2007
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services
© 2007 Frédéric Vitart, Francisco Doblas-Reyes, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.