Abstract
Based on issues recently raised on the future of climate science, I present here a critical discussion which embraces the crucial aspects of the communication between climate scientists and laypersons, of the role confusing statements may exert on possible advancements in climate research, and of scientific priorities in climate science. I start distinguishing between different applications of climate models and identifying confusing uses of the words “prediction” and “projection” in recent discussions on climate modeling. Numerical models like those used in climate simulations are not assimilable to truly theories, nor can obtained results be considered as truly experimental evidences. Hence, it is hard to envisage the feasibility of crucial experiments through climate models. Increasing model resolution and complexity, although undoubtedly helpful for many applications related to a deeper understanding of the complex climate system and to substantial improvement of short-term forecasts, is not destined to change this fundamental limitation, to tackle the impossibility of predicting prominent climate forcings and to facilitate result comparisons against observations. Finally, as an example describing possible alternative resource allocations, I propose to devote more energy to strengthen the observational part of climate research, to focus on midterm forecasts, and to implement a new employment policy for climate scientists. In particular, through an increased and truly global in situ and remote sensing climate observing network, crucial experiments could emerge to challenge the fundamental basis of the conjecture of a great anthropogenic climate change, which, as known, is largely based on high climate sensitivities simulated by numerical models.
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References
Bray D, von Storch H (2009) ‘Prediction’ or ‘projection’? The nomenclature of climate science. Sci Commun 30:534–543
Cubasch U, Meehl GA, Boer GJ, Stouffer RJ, Dix M, Noda AS, Raper CAS, Yap KS (2001) Projections of future climate change. In: Houghton JT, Ding Y, Griggs DJ, Noguer M, van der Linden PJ, Dai X, Maskell K, Johnson CA (eds) Climate change 2001: the scientific basis, Chapter 9, contribution of Working Group I to the third assessment report of the Intergovernmental Panel on Climate Change (IPCC). Cambridge University Press, Cambridge, pp 525–582
Freeland HJ, Roemmich D, Garzoli S, Le Traon PY, Ravichandran M, Riser S, Thierry V, Wijffels S, Belbeoch M, Gould J, Grant F, Ignazewski M, King B, Klein B, Mork KA, Owens B, Pouliquen S, Sterl A, Suga T, Suk MS (2010) Argo—a decade of progress. Proceedings of OceanObs'09. Sustained Ocean Observations and Information for Society, Venice, Italy
Garzoli S, Boebel O, Bryden H, Fine RA, Fukasawa M, Gladyshev S, Johnson G, Johnson M, MacDonald A, Meinen C, Mercier H, Orsi A, Piola A, Rintoul S, Speich S, Visbeck M, Wanninkhof R (2010) Progressing towards global sustained deep ocean observations. Proceedings of OceanObs’09. Sustained Ocean Observations and Information for Society. Venice, Italy
Giorgi F (2005) Climate change prediction. Clim Change 73:239–265
Hamill TM, Whitaker J, Mullen S (2006) Reforecasts: an important dataset for improving weather predictions. Bull Am Meteorol Soc 87:33–46
Hurrell JW (2008) Decadel climate prediction: challenges and opportunities Journal of Physics: Conference Series 125 012018. doi:10.1088/1742-6596/125/1/012018, http://www.cgd.ucar.edu/cas/jhurrell/Docs/jpconf8_125_012018.pdf
Jung T, Rhines PB (2007) Greenland’s pressure drag and the Atlantic storm track. J Atmos Sci 64:4004–4030
Jungclaus JH, Lorenz SJ, Timmreck C, Reick CH, Brovkin V, Six K, Segschneider J, Giorgetta MA, Crowley TJ, Pongratz J, Krivova NA, Vieira LE, Solanki SK, Klocke D, Botzet M, Esch M, Gayler V, Haak H, Raddatz TJ, Roeckner E, Schnur R, Widmann H, Claussen M, Stevens B, Marotzke J (2010) Climate and carbon-cycle variability over the last millennium. Clim Past Discuss 6:1009–1044
Keenlyside N, Latif M, Jungclaus J, Kornblueh L, Roeckner E (2008) Advancing decadal-scale climate prediction in the North Atlantic sector. Nature 453:84–88
Kirtman BP, Fan Y, Schneider EK (2002) The COLA global coupled and anomaly coupled oceanatmosphere, GCM. J Climate 15:2301–2320
Klotzbach PJ, Pielke RA Sr, Pielke RA Jr, Christy JR, McNider RT (2009a) An alternative explanation for differential temperature trends at the surface and in the lower troposphere. J Geophys Res 114:D21102. doi:10.1029/2009JD011841
Klotzbach PJ, Pielke RA Sr, Pielke RA Jr, Christy JR, McNider RT (2009b) Correction to an alternative explanation for differential temperature trends at the surface and in the lower troposphere. J Geophys Res 115:D01107. doi:10.1029/2009JD013655
Knox RS, Douglass DH (2010) Recent energy balance of Earth. Int J Geosci 1:99–101
Laudan L (1996) Beyond positivism and relativism. Theory, method, and evidence, Boulder, CO: Westview Press, viii + p 277
Lindzen RS (2008) Climate science: is it currently designed to answer questions? arXiv:0809.3762v2 (Physics and Society)
Lindzen RS, Choi YS (2009) On the determination of climate feedbacks from ERBE data, Geophys Res Lett 36: doi:10.1029/2009GL039628
Lorenz EN (1963) Deterministic non-periodic flow. J Atmos Sci 20:130–141
Marshall J, Schott F (1999) Open-ocean convection: observations, theory and models. Rev Geophys 37:1–64
Mazzarella A, Giuliacci A (2009) The El Nino events: their classification and scale invariant laws. Ann Geophys 52:517–522
Mazzarella A, Giuliacci A, Liritzis I (2010) On the 60-month cycle of Multivariate ENSO Index. Theor Appl Climatol 100:23–27. doi:10.1007/s00704-009-0159-0
Meehl GA, Goddard L, Murphy J, Stouffer RJ, Boer G, Danabasoglu G, Dixon K, Giorgetta MA, Greene AM, Hawkins E, Hegerl G, Karoly D, Keenlyside N, Kimoto M, Kirtman B, Navarra A, Pulwarty R, Smith D, Stockdale T (2009) Decadal prediction: can it be skillful? Bull Am Meteorol Soc 36:L08703. doi:10.1175/2009BAMS2778.1
Miura H, Satoh M, Nasuno T, Noda AT, Oouchi K (2007) A Madden-Julian Oscillation event simulated using a global cloud-resolving model. Science 318:1763–1765
Navarra A, Kinter JL III, Tribbia J (2010) Crucial experiments in climate science. Bull Am Meteorol Soc 91:343–352
Oouchi K, Noda AT, Satoh M, Wang B, Xie SP, Takahashi H, Yasunari T (2009) Asian summer monsoon simulated by a global cloud-system resolving model: diurnal to intra-seasonal variability. Geophys Res Lett 36:L11815. doi:10.1029/2009GL038271
Pielke RA Sr (2005) http://pielkeclimatesci.wordpress.com/2006/05/25/what-are-climate-models-what-do-they-do/
Pielke RA Sr (2006) http://pielkeclimatesci.wordpress.com/2006/05/25/what-is-the-difference-between-a-multi-decadal-climate-projection-and-a-multi-decadal-climate-prediction/
Pohlmann H, Jungclaus J, Köhl A, Stammer S, Marotzke J (2009) Initializing decadal climate predictions with the GECCO oceanic synthesis: effects on the North Atlantic. J Climate 22:3926–3938
Popper K (1935) Logik der Forschung (Schriften zur wissenschaftlichen Weltauffassung, Bd. 3.) VI + 248 pages. J. Springer, Wien
Rosenfeld D (2006) Aerosol-cloud interactions control of Earth radiation and latent heat release budgets. Space Sci Rev 125:149–157
Sarachik ES, Cane MA (2010) The El Niño-Southern Oscillation Phenomenon. Cambridge University Press, 385 pp
Shaffrey LC, Stevens I, Norton WA, Roberts MJ, Vidale PL, Harle JD, Jrrar A, Stevens DP, Woodage MJ, Demory ME, Donners J, Clark DB, Clayton A, Cole JW, Wilson SS, Connolley WM, Davies TM, Iwi AM, Johns TC, King JC, New AL, Slingo JM, Slingo A, Steenman-Clark L, Martin GM (2009) UK-HiGEM: The new UK High resolution Global Environment Model. Model description and basic evaluation. J Clim 22:1861–1896
Shapiro MA, Shukla J, Brunet G, Nobre C, Béland M, Dole R, Trenberth K, Anthes R, Asrar G, Barrie L, Bougeault P, Brasseur G, Burridge D, Busalacchi A, Caughey J, Chen D, Church J, Enomoto T, Hoskins B, Hov Ø, Laing A, Le Treut H, Marotzke J, McBean G, Meehl G, Miller M, Mills B, Mitchell J, Moncrieff M, Nakazawa T, Olafsson H, Palmer T, Parsons D, Rogers D, Simmons A, Troccoli A, Toth Z, Uccellini L, Velden C, Wallace JM (2010) An earth-system prediction initiative for the 21st century. Bull Am Meteorol Soc 91:1377–1388
Shukla J, Palmer TN, Hagedorn R, Hoskins B, Kinter J, Marotzke J, Miller M, Slingo J (2010) Climate prediction from weeks to decades in the 21st century: towards a new generation of world climate research and computing facilities for climate prediction. Bull Am Meteorol Soc 91:1407–1412
Smith D, Cusack S, Colman A, Folland C, Harris G, Murphy J (2007) Improved surface temperature prediction for the coming decade from a global climate model. Science 317:796–799
Spencer RW, Braswell WD (2010) On the diagnosis of radiative feedback in the presence of unknown radiative forcing. J Geophys Res. doi:10.1029/2009JD013371
Trenberth KE, Fasullo JT (2010) Tracking Earth’s energy. Science 328:316–317
Zanchettin D, Rubino A, Jungclaus JH (2010) Intermittent multidecadal-to-centennial fluctuations dominate global temperature evolution over the last millennium. Geophys Res Lett. doi:10.1029/2010GL043717
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I would like to thank Davide Zanchettin for helpful discussions.
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Rubino, A. What will a new generation of world climate research and computing facilities bring to climate long-term predictions?. Theor Appl Climatol 106, 473–479 (2011). https://doi.org/10.1007/s00704-011-0448-2
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DOI: https://doi.org/10.1007/s00704-011-0448-2