Climate Dynamics

, Volume 36, Issue 7–8, pp 1577–1591 | Cite as

Critical influence of the pattern of Tropical Ocean warming on remote climate trends

Article

Abstract

Evidence is presented that the recent trend patterns of surface air temperature and precipitation over the land masses surrounding the North Atlantic Ocean (North America, Greenland, Europe, and North Africa) have been strongly influenced by the warming pattern of the tropical oceans. The current generation of atmosphere–ocean coupled climate models with prescribed radiative forcing changes generally do not capture these regional trend patterns. On the other hand, even uncoupled atmospheric models without the prescribed radiative forcing changes, but with the observed oceanic warming specified only in the tropics, are more successful in this regard. The tropical oceanic warming pattern is poorly represented in the coupled simulations. Our analysis points to model error rather than unpredictable climate noise as a major cause of this discrepancy with respect to the observed trends. This tropical error needs to be reduced to increase confidence in regional climate change projections around the globe, and to formulate better societal responses to projected changes in high-impact phenomena such as droughts and wet spells.

References

  1. Anderson JL et al (2004) The new GFDL global atmosphere and land model AM2-LM2: evaluation with prescribed SST simulations. J Clim 17:4641–4673CrossRefGoogle Scholar
  2. Barnston AG, Kumar A, Goddard L, Hoerling MP (2005) Improving seasonal prediction practices through attribution of climate variability. Bull Am Meteorol Soc 86:59–72CrossRefGoogle Scholar
  3. Barsugli JJ, Sardeshmukh PD (2002) Global atmospheric sensitivity to tropical SST anomalies throughout Indo-Pacific basin. J Clim 15:2205–2231CrossRefGoogle Scholar
  4. Barsugli JJ, Shin S-I, Sardeshmukh PD (2006) Sensitivity of global warming to the pattern of Tropical Ocean warming. Clim Dyn 27:483–492CrossRefGoogle Scholar
  5. Bracco A, Kucharski F, Kallummal R, Molteni F (2004) Internal variability, external forcing and climate trends in multi-decadal AGCM ensembles. Clim Dyn 23:659–678CrossRefGoogle Scholar
  6. Chen M, Xie P, Janowiak JE, Arkin PA (2002) Global land precipitation: a 50-yr monthly analysis based on gauge observations. J Hydrometeorol 3:249–266CrossRefGoogle Scholar
  7. Collins WD et al (2006) The community climate system model version 3 (CCSM3). J Clim 19:2122–2143CrossRefGoogle Scholar
  8. Compo GP, Sardeshmukh PD (2009) Oceanic influences on recent continental warming. Clim Dyn 32:333–342CrossRefGoogle Scholar
  9. Dai AG, Trenberth KE, Karl TR (1998) Global variations in droughts and wet spells: 1900–1995. Geophys Res Lett 25:3367–3370CrossRefGoogle Scholar
  10. Dai AG, Trenberth KE, Qian T (2004) A global dataset of Palmer Drought Severity Index for 1870–2002: relationship with soil moisture and effects of surface warming. J Hydrometeorol 5:1117–1130CrossRefGoogle Scholar
  11. Delworth TL et al (2006) GFDL’s CM2 global coupled climate models. Part I: formulation and simulation characteristics. J Clim 19:643–674CrossRefGoogle Scholar
  12. Deser C, Phillips AS (2009) Atmospheric circulation trends, 1950–2000: the relative roles of sea surface temperature forcing and direct atmospheric radiative forcing. J Clim 22:396–413CrossRefGoogle Scholar
  13. Deser C, Phillips AS, Hurrell JW (2004) Pacific interdecadal climate variability: linkages between the tropics and the North Pacific during boreal winter since 1900. J Clim 17:3109–3124CrossRefGoogle Scholar
  14. Folland CK, Sexton DMH, Karoly D, Johnson C, Rowell D, Parker D (1998) Influences of anthropogenic and oceanic forcing on recent climate change. Geophys Res Lett 25:353–356CrossRefGoogle Scholar
  15. Furevik T, Bentsen M, Drange H, Kindem IKT, Kvamtsø NG, Sorteberg A (2003) Description and evaluation of the Bergen climate model: ARPEGE coupled with MICOM. Clim Dyn 21:27–51CrossRefGoogle Scholar
  16. Gates WL (1992) AMIP: the atmospheric model intercomparison project. Bull Am Meteorol Soc 73:1962–1970CrossRefGoogle Scholar
  17. Goddard L, Mason SJ, Zebiak SE, Ropelewski CF, Basher R, Cane MA (2001) Current approaches to seasonal to interannual climate predictions. Int J Climatol 21:1111–1152CrossRefGoogle Scholar
  18. Gordon C et al (2000) The simulation of SST, sea ice extents and ocean heat transport in a version of the Hadley Centre coupled model without flux adjustments. Clim Dyn 16:147–168CrossRefGoogle Scholar
  19. Gordon HB et al (2002) The CSIRO Mk3 climate system model. Tech. Rep. 60, CSIRO Atmospheric Research, Aspendale, Victoria, Australia, p 134Google Scholar
  20. Graham NE (1994) Decadal-scale climate variability in the tropical and North Pacific during the 1970s and 1980s: observations and model results. Clim Dyn 10:135–162CrossRefGoogle Scholar
  21. Gualdi S, Scoccimarro E, Navarra A (2006) Changes in tropical cyclone activity due to global warming: results from a high-resolution coupled general circulation model. J Clim 21:5204–5228CrossRefGoogle Scholar
  22. Hansen JE et al (2001) A closer look at United States and global surface temperature change. J Geophys Res 106:23947–23963CrossRefGoogle Scholar
  23. Hansen JE et al (2007) Climate simulations for 1880–2003 with GISS modelE. Clim Dyn 29:661–696CrossRefGoogle Scholar
  24. Herweijer C, Seager R (2008) The global footprint of persistent extra-tropical drought in the instrumental era. Int J Climatol. doi:10.1002/joc.1950
  25. Hoerling MP, Kumar A (2003) The perfect ocean for drought. Science 299:691–699CrossRefGoogle Scholar
  26. Hoerling MP, Hurrell JW, Xu T (2001) Tropical origins for recent North Atlantic climate change. Science 292:90–92CrossRefGoogle Scholar
  27. Hoerling MP, Kumar A, Eischeid J, Jha B (2008) What is causing the variability in global mean land temperature? Geophys Res Lett 35:L23712. doi:10.1029/2008GL035984
  28. Hurrell JW, Hoerling MP, Phillips AS, Xu T (2004) Twentieth century North Atlantic climate change. Part I: assessing determinism. Clim Dyn 23:371–389CrossRefGoogle Scholar
  29. Hurrell JW, Hack JJ, Phillips AS, Caron J, Yin J (2006) The dynamical simulation of the community atmosphere model version 3 (CAM3). J Clim 19:2162–2183CrossRefGoogle Scholar
  30. IPCC (2007) Climate change 2007: the physical science basis. In: Solomon S, Qin D, Manning M, Chen Z, Marquis M, Averyt K, Tignor MMB, Miller HL (eds) Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental panel on climate change, Cambridge University Press, Cambridge, UK and New York, p 996Google Scholar
  31. Johns T et al (2006) The new Hadley Centre climate model HadGEM1: evaluation of coupled simulations. J Clim 19:1327–1353CrossRefGoogle Scholar
  32. Jungclaus J et al (2006) Ocean circulation and tropical variability in the coupled model ECHAM5/MPI-OM. J Clim 19:3952–3972CrossRefGoogle Scholar
  33. K-1 model developers (2004) K-1 coupled model (MIROC) description. In: Hasumi H, Emori S (eds) K-1 Tech. Rep. 1, Center for Climate System Research, University of Tokyo, p 34Google Scholar
  34. Kaplan A, Cane M, Kushnir Y, Clement A, Blumenthal M, Rajagopalan B (1998) Analyses of global sea surface temperature 1856–1991. J Geophys Res 103:18567–18589CrossRefGoogle Scholar
  35. Kim SJ, Flato GM, de Boer GJ, McFarlane NA (2002) A coupled climate model simulation of the Last Glacial Maximum. Part I: transient multi-decadal response. Clim Dyn 19:515–537CrossRefGoogle Scholar
  36. King MP, Kucharski F (2006) Observed decadal connections between the tropical oceans and the North Atlantic Oscillation in the 20th century. J Clim 19:1032–1041CrossRefGoogle Scholar
  37. Kucharski F, Molteni F, Bracco A (2006) Decadal interactions between the Western Tropical Pacific and the North Atlantic Oscillation. Clim Dyn 26:79–91CrossRefGoogle Scholar
  38. Lau N-C (1997) Interactions between global SST anomalies and the midlatitude atmospheric circulation. Bull Am Meteorol Soc 78:21–33CrossRefGoogle Scholar
  39. Lau N-C, Nath MJ (1994) A modeling study of the relative roles of tropical and extratropical SST anomalies in the variability of the global atmosphere–ocean system. J Clim 7:1184–1207CrossRefGoogle Scholar
  40. Lin JL (2007) The double-ITCZ problem in IPCC AR4 coupled GCMs: ocean–atmosphere feedback analysis. J Clim 20:4497–4525CrossRefGoogle Scholar
  41. Lucarini L, Russell GL (2002) Comparison of mean climate trends in the northern hemisphere between National Centers for environmental prediction and two atmosphere-ocean model forced runs. J Geophys Res 107:4269. doi:10.1029/2001JD001247 CrossRefGoogle Scholar
  42. Marti O et al (2005) The new IPSL climate system model: IPSL-CM4. Tech. Rep., Institut Pierre Simon Laplace des Sciences de l’Environment Global, IPSL, Case 101, Paris, France, p 86Google Scholar
  43. Min S-K, Legutke S, Hense A, Kwon W-T (2005) Internal variability in a 1000-yr control simulation with the coupled model ECHO-G-I: near-surface temperature, precipitation and mean sea level pressure. Tellus 57A:605–621Google Scholar
  44. Mitchell TD, Jones PD (2005) An improved method of constructing a database of monthly climate observations and associated high-resolution grids. Int J Climatol 25:693–712CrossRefGoogle Scholar
  45. Palmer WC (1965) Meteorological drought. Research Paper 45, US Department of Commerce, p 58Google Scholar
  46. Ray AJ et al (2008) Climate change in Colorado: a synthesis to support water resources management and adaptation. A Report for the Colorado Water Conservation Board, University of Colorado at Boulder, p 52Google Scholar
  47. Rayner NA, Parker DE, Horton EB, Folland CK, Alexander LV, Rowell DP, Kent EC, Kaplan A (2003) Global analyses of sea surface temperature, sea ice, and night marine air temperature since the late nineteenth century. J Geophys Res 108:4407–4443. doi:10.1029/2002JD002670 CrossRefGoogle Scholar
  48. Rodwell MJ, Rowell DP, Folland CK (1999) Oceanic forcing of the wintertime North Atlantic Oscillation and European climate. Nature 398:320–323CrossRefGoogle Scholar
  49. Roeckner E et al (1996) The atmospheric general circulation model ECHAM4: model description and simulation of present-day climate. Max Planck Institute for Meteorology Rep 218, Hamburg, Germany, p 90Google Scholar
  50. Roeckner E et al (2006) Sensitivity of simulated climate to horizontal and vertical resolution in the ECHAM5 atmosphere model. J Clim 19:3771–3791CrossRefGoogle Scholar
  51. Rudolf B, Beck C, Grieser J, Schneider U (2005) Global precipitation analysis products. Global Precipitation Climatology Centre (GPCC), DWD, Internet Publication, 1–8Google Scholar
  52. Salas-Mélia D et al (2005) Description and validation of the CNRM-CM3 global coupled model, CNRM working note 103Google Scholar
  53. Saravanan R (1998) Atmospheric low-frequency variability and its relationship to mid latitude SST variability: studies using the NCAR climate system model. J Clim 11:1386–1404CrossRefGoogle Scholar
  54. Sardeshmukh PD, Hoskins BI (1984) Spatial Smoothing on the Sphere. Mon Weather Rev 12:2524–2529CrossRefGoogle Scholar
  55. Schneider EK, Bengtsson L, Hu Z (2003) Forcing of northern hemisphere climate trends. J Atmos Sci 60:1504–1521CrossRefGoogle Scholar
  56. Schubert SD, Suarez MJ, Region PJ, Koster RD, Bacmeister JT (2004) On the cause of the 1930s dust bowl. Science 303:1855–1859CrossRefGoogle Scholar
  57. Shin S-I, Sardeshmukh PD, Webb RS, Oglesby RJ, Barsugli JJ (2006) Understanding the mid-Holocene climate. J Clim 19:2801–2817CrossRefGoogle Scholar
  58. Sidall M, Kaplan MR (2008) Climate science: a tale of two ice sheets. Nat Geosci 1:570–572CrossRefGoogle Scholar
  59. Smith TM, Reynolds RW (2005) A global merged land-air-sea surface temperature reconstruction based on historical observations (1880–1997). J Clim 18:2021–2036CrossRefGoogle Scholar
  60. Sutton RT, Hodson DLR (2003) The influence of the ocean on North Atlantic climate variability 1871–1999. J Clim 16:3296–3313CrossRefGoogle Scholar
  61. Taylor KE (2001) Summarizing multiple aspects of model performance in a single diagram. J Geophys Res 106:7183–7192CrossRefGoogle Scholar
  62. Volodin EM, Diansky NA (2004) El Niño reproduction in coupled general circulation model. Russ Meteorol Hydrol 12:5–14Google Scholar
  63. Washington WM et al (2000) Parallel climate model (PCM) control and transient simulations. Clim Dyn 16:755–774CrossRefGoogle Scholar
  64. Webb RS, Rosenzweig CE, Levine ER (1993) Specifying land surface characteristics in general circulation models: soil profile data set and derived water holding capacities. Global Biogeochem Cycles 7:97–108CrossRefGoogle Scholar
  65. Wilhite DA (2000) Drought as a natural hazard: concepts and definitions. In: Wilhite DA (ed) Drought: a global assessment, Routledge, pp 3–18Google Scholar
  66. Yu Y, Zhang X, Guo Y (2004) Global coupled ocean- atmosphere general circulation models in LASG/IAP. Adv Atmos Sci 21:444–455CrossRefGoogle Scholar
  67. Yukimoto S, Noda A (2002) Improvements in the meteorological research institute global ocean-atmosphere coupled GCM (MRI-CGCM2) and its climate sensitivity. Tech. Rep. 10, NIES, Japan, p 8Google Scholar

Copyright information

© Springer-Verlag 2010

Authors and Affiliations

  1. 1.CIRES Climate Diagnostics CenterUniversity of Colorado, and NOAA Earth System Research LaboratoryBoulderUSA
  2. 2.College of Marine ScienceUniversity of South FloridaSt. PetersburgUSA

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