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CLIMATE CHANGE: LONG-TERM TRENDS AND SHORT-TERMOSCILLATIONS

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  • Identifying the Northern Hemisphere (NH) temperature reconstruction and instrumental data for the past 1000 years shows that climate change in the last millennium includes long-term trends and various oscillations. Two long-term trends and the quasi-70-year oscillation were detected in the global temperature series for the last 140 years and the NH millennium series. One important feature was emphasized that temperature decreases slowly but it increases rapidly based on the analysis of different series. Benefits can be obtained of climate change from understanding various long-term trends and oscillations. Millennial temperature proxies from the natural climate system and time series of nonlinear model system are used in understanding the natural climate change and recognizing potential benefits by using the method of wavelet transform analysis. The results from numerical modeling show that major oscillations contained in numerical solutions on the interdecadal timescale are consistent with that of natural proxies. It seems that these oscillations in the climate change are not directly linked with the solar radiation as an external forcing. This investigation may conclude that the climate variability at the interdecadal timescale strongly depends on the internal nonlinear effects in the climate system.
  • [1] IPCC. The Science of Climate Change, Contribution ofWorking Group I to the Third Assessment Report of theIntergovernmental Panel on Climate Change [M]. Cambridge:Cambridge University Press, 2001.
    [2] JAN C M, NIKLAS H. Climate change: long-term targetsand short-term commitments [J]. Global EnvironmentalChange, 2003, 13: 47-50.
    [3] STANLEY A C. Present and future economic impacts ofclimate extremes in the United States [J]. EnvironmentalHazards, 2003, 5: 47-50.
    [4] ADAMS R M, MCCARL B A, MEARNS L O. The effectsof spatial scale of climate scenarios on economic assessments:An example from US agriculture [J]. Climatic Change, 2003,60: 131-148.
    [5] RICHARD S J T, THOMAS E D, ONNO J K, et al.Distributional aspects of climate change impacts [J]. GlobalEnvironmental Change, 2004, 14: 259-272.
    [6] SAMUEL H, JOEL S. Estimating global impacts fromclimate change [J]. Global Environmental Change, 2004, 14:201-218.
    [7] LORENZ E N. Deterministic nonperiodic flow [J]. Journalof the Atmospheric Science, 1963, 20: 130-141.
    [8] SCHNEIDER R R, MULLER P J, RUHLAND G, et al. LateQuaternary Surface Temperatures and Productivity in East-Equatorial South Atlantic: Response to Changes inTrade/Monsoon Wind Forcing and Surface Water Advection[M]// The South Atlantic: Present and Past Circulation. Berlin:Springer-Verlag, 1996: 527-551.
    [9] PETIT J R, JOUZEL J, RAYNAUD D, et al. Climate andatmospheric history of the past 420,000 years from the VostokIce Core, Antarctica [J]. Nature, 1999, 399: 429-436.
    [10] MACMANUS J, OPPO D W, CULLEN J L. A 0.5million-year record of millennial scale climate variability inthe North Atlantic [J]. Science, 1999, 283: 971-975.
    [11] WIGLEY T M L, INGRAM M J, FARMER G. Climate andhistory Studies in past climates and their impact on man [M].Cambridge: Cambridge University Press, 1981.
    [12] LAMB H H. Some studies of the Little Ice Age of recentcenturies [M]// Climatic Changes on a Yearly to MillennialBasis. Reidel, Dordrecht, 1984: 309-330.
    [13] BRADLEY R S, JONES P D. When Was the “Little IceAge”? [M]// Proceedings of the International Symposium onthe Little Ice Age climate. Department of Geography, TokyoMetropolitan University, 1992: 1-4.
    [14] MANN M E, BRADLEY R S, HUGHES M K. NorthernHemisphere temperature during the past millennium:inferences, uncertainties, and limitations [J]. GeophysicalResearch Letters, 1999, 26: 759-762.
    [15] QIAN Wei-hong, ZHU Ya-fen. Climate change in Chinafrom 1880 to 1998 and its impact on the environmentalcondition [J]. Climatic Change, 2001, 50: 419-444.
    [16] JOHANNESSEN O M, BENGTESSON L, MILES M W,et al. Arctic climate change: observed and. modeledtemperature and sea-ice variability [J]. Tellus, 2004, 56A: 328-341.
    [17] JONES P D, OSBORN T H, BRIFFAK R, et al. Adjustingfor sampling density in grid box land and ocean surfacetemperature time series [J]. Journal of Geophysical Research,2001, 106: 3371-3380.
    [18] QIAN Wei-hong, Hu Qi, ZHU Ya-fen, et al. Centennialscaledry-wet variations in East Asia [J]. Climate Dynamics,2003, 21: 77-89.
    [19] SONG J. Reconstruction of the southern oscillation fromdryness/ wetness in China for the last 500 years [J].International Journal of Climatology, 1998, 18: 1345-1355.
    [20] WENG H Y, LAU K M. Wavelets period doubling andtime-frequency localization with application to organization ofconvection over the tropical western Pacific [J]. Journal of theAtmospheric Sciences, 1994, 51: 2523-2541.
    [21] LAU K M, WENG H Y. Climate signal detection usingwavelet transform: how to make a time series sing [J]. Bulletinof the American Meteorological Society, 1995, 76: 2391-2402.
    [22] JIANG Jian-min, ZHANG De’er, FRAEDRICH K.Historical climate variability of wetness in East China (960-1992): A wavelet analysis [J]. International Journal ofClimatology, 1997, 17: 968-981.
    [23] TORRENCE C, COMPO G P. Apractical guide to waveletanalysis [J]. Bulletin of the American Meteorological Society,1998, 79: 61-78.
    [24] MEYERS S D, KELLY B G, O’BRIEN J J. Anintroduction to wavelet analysis in oceanography andmeteorology:With application to the dispersion of Yanai Waves[J]. MonthlyWeather Review, 1993, 121: 2858-2866.
    [25] GAO Xin-quan, ZHANG Wen. Nonlinear evolutioncharacteristics of the climate system on the interdecadalcentennialtimescale [J]. Chinese Physics, 2005, 14: 2370-2378.
    [26] GUO Bing-rong, JIANG Jian-min, FAN Xin-gang, et al.Nonlinear characteristics of climate system and its predictiontheory [M]. Beijing:Meteorological Press, 1996: 1-254.
    [27] ZHANG Hong-liang, FAN Xin-gang, XU Ming, et al.Application of a global analysis method to a simplified climatemodel [J]. Theoretical and Applied Climatology, 1998, 61:103-111.

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GAO Xin-quan, ZHANG Xin, QIAN Wei-hong. CLIMATE CHANGE: LONG-TERM TRENDS AND SHORT-TERMOSCILLATIONS [J]. Journal of Tropical Meteorology, 2006, 12(2): 139-149.
GAO Xin-quan, ZHANG Xin, QIAN Wei-hong. CLIMATE CHANGE: LONG-TERM TRENDS AND SHORT-TERMOSCILLATIONS [J]. Journal of Tropical Meteorology, 2006, 12(2): 139-149.
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CLIMATE CHANGE: LONG-TERM TRENDS AND SHORT-TERMOSCILLATIONS

Abstract: Identifying the Northern Hemisphere (NH) temperature reconstruction and instrumental data for the past 1000 years shows that climate change in the last millennium includes long-term trends and various oscillations. Two long-term trends and the quasi-70-year oscillation were detected in the global temperature series for the last 140 years and the NH millennium series. One important feature was emphasized that temperature decreases slowly but it increases rapidly based on the analysis of different series. Benefits can be obtained of climate change from understanding various long-term trends and oscillations. Millennial temperature proxies from the natural climate system and time series of nonlinear model system are used in understanding the natural climate change and recognizing potential benefits by using the method of wavelet transform analysis. The results from numerical modeling show that major oscillations contained in numerical solutions on the interdecadal timescale are consistent with that of natural proxies. It seems that these oscillations in the climate change are not directly linked with the solar radiation as an external forcing. This investigation may conclude that the climate variability at the interdecadal timescale strongly depends on the internal nonlinear effects in the climate system.

GAO Xin-quan, ZHANG Xin, QIAN Wei-hong. CLIMATE CHANGE: LONG-TERM TRENDS AND SHORT-TERMOSCILLATIONS [J]. Journal of Tropical Meteorology, 2006, 12(2): 139-149.
Citation: GAO Xin-quan, ZHANG Xin, QIAN Wei-hong. CLIMATE CHANGE: LONG-TERM TRENDS AND SHORT-TERMOSCILLATIONS [J]. Journal of Tropical Meteorology, 2006, 12(2): 139-149.
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