Nature of Centennial Global Climate Change from Observational Records

Abstract

In order to provide a better benchmark for climate simulation programs, climate data at Global Historical Climatology Network (GHCN) and Global Summary of the Day (GSOD) archived by the National Climate Data Center (NCDC) are used to ascertain the nature of climate change over the last century. After data validation, about 6000 stations are considered globally to determine the change in mean temperature, and about 5000 stations to determine that change in maximum and minimum temperatures. Global nature of temperature and its change are presented separately for January and July. Both maximum and minimum daily temperatures are used in the analysis. Trend of global change in annual precipitation is also reported here. Least square linear regression is used to ascertain the nature of these changes. Global nature of temperatures in both January and July show bimodal distributions, with the geographical region between the tropics in one mode and the region outside the tropic in another mode. The individual distributions of temperatures of both these regions show separate and similar histograms. Results indicate that over the last century, temperature in January increased more than that during July. Furthermore the minimum temperature in each case increased more than the maximum temperature. Ten separate estimates of temperature change are obtained from the data presented here using different methods. Considering all these estimates, the mean rise in temperature during January was 2.19°C, and during July was 1.72°C. The geographical nature of the rise in temperature shows that though it rises in most locations, the temperature also reduces along eastern Asia, some parts of central Russia, along south-eastern Australia, and along the east coast of the United States. Predominant rise in temperature is mostly over Europe, and in the arctic. Change in precipitation shows that though there is significant reduction rainfall globally, rainfall increases along the equator, in areas around the Gulf of Mexico, along eastern Asia, along the western coast of India, and along the eastern coast of Australia.

Share and Cite:

Anwer, M. (2015) Nature of Centennial Global Climate Change from Observational Records. American Journal of Climate Change, 4, 337-354. doi: 10.4236/ajcc.2015.44027.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] Good, P., Caesar, J., Bernie, D., Lowe, J.A., van der Linden, P., Gosling, S.N., Warren, R., Arnell, N.W., Smith, S., Bamber, J., Payne, T., Laxon, S., Srokosz, M., Sitch, S., Gedney, N., Harris, G., Hewitt, H., Jackson, L., Jones, C.D., O’Connor, F., Ridley, J., Vellinga, M., Halloran, P. and McNeall, D. (2011) A Review of Recent Developments in Climate Change Science. Part I: Understanding of Future Change in the Large-Scale Climate System. Progress in Physical Geography, 35, 281-296.
http://dx.doi.org/10.1177/0309133311407651
[2] Gosling, S.N., Warren, R., Arnell, N.W., Good, P., Caesar, J., Bernie, D., Lowe, J.A., van der Linden, P., O’Hanley, J.R. and Smith, S.M. (2011) A Review of Recent Developments in Climate Change Science. Part II: The Global-Scale Impacts of Climate Change. Progress in Physical Geography, 35, 443-464.
http://dx.doi.org/10.1177/0309133311407650
[3] van den Broeke, M.R., Bamber, J.L., Ettema, J., Rignot, E., Hurkmans, R.T.W.L., Schrama, E.J.O., van de Berg, W.J., van Meijgaard, E., Velicogna, I. and Wouters, B. (2009) Partitioning Recent Greenland Mass Loss. Science, 326, 984-986.
http://dx.doi.org/10.1126/science.1178176
[4] Velicogna, I. (2009) Increasing Rates of Ice Mass Loss from the Greenland and Antarctic Ice Sheets Revealed by GRACE. Geophysical Research Letters, 36, L19503.
http://dx.doi.org/10.1029/2009gl040222
[5] Stroeve, J., Holland, M.M., Meier, W., Scambos, T. and Serreze, M. (2007) Arctic Sea Ice Decline: Faster than Forecast. Geophysical Research Letters, 34, L09501.
http://dx.doi.org/10.1029/2007gl029703
[6] Goosse, H., Arzel, O., Bitz, C.M., de Montety, A. and Vancoppenolle, M. (2009) Increased Variability of the Arctic Summer Ice Extent in a Warmer Climate. Geophysical Research Letters, 36, L23702.
http://dx.doi.org/10.1029/2009gl040546
[7] Notz, D. (2009) The Future of Ice Sheets and Sea Ice: Between Reversible Retreat and Unstoppable Loss. Proceedings of the National Academy of Sciences USA, 106, 20590-20595.
http://dx.doi.org/10.1073/pnas.0902356106
[8] IPCC (2007) Climate Change. Synthesis Report. Contribution of Working Groups I, II and III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. IPCC, Geneva, 104 p.
[9] Rahmstorf, S. (2010) A New View On Sea Level Rise. Nature Reports, Climate Change, 4, 44-45.
http://dx.doi.org/10.1038/climate.2010.29
[10] Feely, R.A., Doney, S.C. and Cooley, S.R. (2009) Ocean Acidification: Present Conditions and Future Changes in a High-CO2 World. Oceanography, 22, 36-47.
http://dx.doi.org/10.5670/oceanog.2009.95
[11] Bernie, D., Lowe, J., Tyrrell, T. and Legge, O. (2010) Influence of Mitigation Policy on Ocean Acidification. Geophysical Research Letters, 37, 1-5.
http://dx.doi.org/10.1029/2010GL043181
[12] Tubiello, F.N., Soussana, J.-F., Howden, S.M. and Easterling, W. (2007) Crop and Pasture Response to Climate Change. Proceedings of the National Academy of Sciences of the United States of America, 104, 19686-19690.
http://dx.doi.org/10.1073/pnas.0701728104
[13] Ainsworth, E. and McGrath, J.M. (2010) Direct Effects of Rising Atmospheric Carbon Dioxide and Ozone of Crop Yields. Advances in Global Change Research, 37, 109-130.
http://dx.doi.org/10.1007/978-90-481-2953-9_7
[14] Challinor, A.J. and Wheeler, T.R. (2008) Crop Yield Reduction in the Tropics under Climate Change: Processes and Uncertainties. Agricultural and Forest Meteorology, 148, 343-356.
http://dx.doi.org/10.1016/j.agrformet.2007.09.015
[15] Bell, M.L., Goldberg, R., Hogrefe, C., Kinney, P.L., Knowlton, K., Lynn, B., Rosenthal, J., Rosenzweig, C. and Patz, J.A. (2007) Climate Change, Ambient Ozone, and Health in 50 US Cities. Climatic Change, 82, 61-76.
http://dx.doi.org/10.1007/s10584-006-9166-7
[16] Mills, D.M. (2009) Climate Change, Extreme Weather Events, and US Health Impacts: What Can We Say? Journal of Occupational and Environmental Medicine, 51, 26-32.
http://dx.doi.org/10.1097/JOM.0b013e31817d32da
[17] Washington, W.M. and Parkinson, C.L. (1986) An Introduction to Three-Dimensional Climate Modelling. University Science Books, Mill Valley.
[18] McGuffie, K. and Henderson-Sellers, A. (2001) Forty Years of Numerical Climate Modeling. International Journal of Climatology, 21, 1067-1109.
http://dx.doi.org/10.1002/joc.632
[19] Peixoto, J.P. and Oort, A.H. (1992) Physics of Climate. American Institute of Physics, New York.
[20] Lockwood, J.G. (2001) Abrupt and Sudden Climatic Transitions and Fluctuatins. International Journal of Climatology, 21, 1153-1179.
http://dx.doi.org/10.1002/joc.630
[21] Bony, S., Colman, R., Kattsov, V.M., Allan, R.P., Bretherton, C.S., Dufresne, J-L., Hall, A., Hallegatte, S., Holland, M.M., Ingram, W., Randall, D.A., Soden, B.J., Tselioudis, G. and Webb, M.J. (2006) How Well Do We Understand and Evaluate Climate Change Feedback Processes? Journal of Climate, 19, 3445-3482.
http://dx.doi.org/10.1175/JCLI3819.1
[22] Caldeira, K., Jain, A.K. and Hoffert, M.I. (2003) Climate Sensitivity Uncertainty and the Need for Energy without CO2 Emission. Science, 299, 2052-2054.
http://dx.doi.org/10.1126/science.1078938
[23] Räisänen, J. (2007) How Reliable Are Climate Models? Tellus A, 59, 2-29.
http://dx.doi.org/10.1111/j.1600-0870.2006.00211.x
[24] Mitchell, J.F.B., Manabe, S., Tokioka, T. and Meleshko, V. (1990) Equilibrium Climate Change—and Its Implications for the Future. In: Houghton, J.T., Jenkins, G.J. and Ephraums, J.J., Eds., Climate Change. The IPCC Scientific Assessment, Cambridge University Press, Cambridge, United Kingdom, 131-172.
[25] Kattenberg, A., Giorgi, F., Grassl, H., Meehl, G.A., Mitchell, J.F.B., Stouffer, R.J., Tokioka, T., Weaver, A.J. and Wigley, T.M.L. (1996) Climate Models—Projections of Future Climate. In: Houghton, J.T., Meira Filho, L.G., Cllander, B.A., Harris, N., Kattenberg, A. and Maskell, K., Eds., Climate Change 1995. The Science of Climate Change, Cambridge University Press, Cambridge, 285-357.
[26] Cubasch, U., Meehl, G.A., Boer, G.J., Stouffer, R.J., Dix, M., Noda, A., Senior, C.A., Raper, S. and Yap, K.S. (2001) Projections of Future Climate Change. In: Houghton, J.T., Ding, Y., Griggs, D.J., Noguer, M., van der Linden, P.J., Dai, X., Maskell, K. and Johnson, C.A., Eds., Climate Change 2001. The Scientific Basis, Cambridge University Press, Cambridge, United Kingdom and New York, 525-582.
[27] Taylor, K.E., Stouffer, R.J. and Meehl, G.A. (2012) An Overview of CMIP5 and the Experiment Design. Bulletin of the American Meteorological Society, 93, 485-498.
http://dx.doi.org/10.1175/BAMS-D-11-00094.1
[28] Grotch, S.L. and MacCracken, M.C. (1991) The Use of General Circulation Models to Predict Regional Climate Change. Journal of Climate, 4, 286-303.
http://dx.doi.org/10.1175/1520-0442(1991)004<0286:TUOGCM>2.0.CO;2
[29] Whetton, P.H., England, M.H., O’Farrell, S.P., Watterson, I.G. and Pittock, A.B. (1996) Global Comparison of the Regional Rainfall Results of Enhanced Greenhouse Coupled and Mixed Layer Ocean Experiments: Implications for Climate Change Scenario Development. Climatic Change, 33, 497-519.
http://dx.doi.org/10.1007/BF00141702
[30] Kittel, T.G.F., Giorgi, F. and Meehl, G.A. (1998) Intercomparison of Regional Biases and Doubled CO2-Sensitivity of Coupled Atmosphereocean General Circulation Model Experiments. Climate Dynamics, 14, 1-15.
http://dx.doi.org/10.1007/s003820050204
[31] Giorgi, F. and Francisco, R. (2000) Evaluating Uncertainties in the Prediction of Regional Climate Change. Geophysical Research Letters, 27, 1295-1298.
http://dx.doi.org/10.1029/1999GL011016
[32] Räisänen, J. (2001) CO2-Induced Climate Change in CMIP2 Experiments. Quantification of Agreement and Role of Internal Variability. Journal of Climate, 14, 2088-2104.
http://dx.doi.org/10.1175/1520-0442(2001)014<2088:CICCIC>2.0.CO;2
[33] Giorgi, F. and Mearns, L.O. (2002) Calculation of Average, Uncertainty Range, and Reliability of Regional Climate Changes from AOGCM Simulations via the “Reliability Ensemble Averaging” (REA) Method. Journal of Climate, 15, 1141-1158.
http://dx.doi.org/10.1175/1520-0442(2002)015<1141:COAURA>2.0.CO;2
[34] Covey, C., Achuta Rao, K.M., Cubasch, U., Jones, P., Lambert, S.J., Mann, M.E., Phillips, T.J. and Taylor, K.E. (2003) An Overview of Results from the Coupled Model Intercomparison Project. Global and Planetary Change, 37, 103-133.
http://dx.doi.org/10.1016/S0921-8181(02)00193-5
[35] Harvey, L.D.D. (2004) Characterizing the Annual-Mean Climatic Effect of Anthropogenic CO2 and Aerosol Emissions in Eight Coupled Atmosphere-Ocean GCMs. Climate Dynamics, 23, 569-599.
http://dx.doi.org/10.1007/s00382-004-0455-4
[36] Hansen, J., Sato, M., Ruedy, R., Kharecha, P., Lacis, A., Miller, R., Nazarenko, L., Lo, K., Schmidt, G.A., Russel, G., Aleinov, I., Bauer, S., Baum, E., Cairns, B., Canuto, V., Chandler, M., Cheng, Y., Cohen, A., Del Genio, A., Faluvegi, G., Fleming, E., Friend, A., Hall, T., Jackman, C., Jonas, J., Kelley, M., Kiang, N.Y., Koch, D., Labow, G., Lerner, J., Menon, S., Novakov, T., Oinas, V., Perlwitz, J., Perlwitz, J., Rind, D., Romanou, A., Schmunk, R., Shindell, D., Stone, P., Sun, S., Streets, D., Tausnev, N., Thresher, D., Unger, N., Yao, M. and Zhang, S. (2007) Climate Simulations for 1880-2003. Climate Dynamics, 29, 61-66.
http://dx.doi.org/10.1007/s00382-007-0255-8
[37] Gates, W.L., Boyle, J.S., Covey, C., Dease, C.G., Doutriaux, C.M., Drach, R.S., Fiorino, M., Gleckler, P.J., Hnilo, J.J., Marlais, S.M., Phillips, T.J., Potter, G.L., Santer, B.D., Sperber, K.R., Taylor, K.E. and Williams, D.N. (1999) An Overview of the Results of the Atmospheric Model Intercomparison Project (AMIP). Bulletin of the American Meteorological Society, 80, 29-55.
http://dx.doi.org/10.1175/1520-0477(1999)080<0029:AOOTRO>2.0.CO;2
[38] Meehl, G.A., Boer, G.J., Covey, C., Latif, M. and Stouffer, J. (2000) The Coupled Model Intercomparison Project (CMIP). Bulletin of the American Meteorological Society, 81, 313-318.
http://dx.doi.org/10.1175/1520-0477(2000)081<0313:TCMIPC>2.3.CO;2
[39] Fu, S., Wang, S., Xiong, Z., Gutowski, W.J., Lee, D.-K., McGregor, J.L., Sato, Y., Kato, H., Kim, J.-W. and Suh, M.-S. (2005) Regional Climate Model Intercomparison Project for Asia. Bulletin of the American Meteorological Society, 86, 257-266.
http://dx.doi.org/10.1175/BAMS-86-2-257
[40] Friedlingstein, P., Cox, P., Betts, R., Bopp, L., von Bloh, W., Brovkin, V., Cadule, P., Doney, S., Eby, M., Fung, I., Bala, G., John, J., Jones, C., Joos, F., Kato, T., Kawamiya, M., Knorr, W., Lindsay, K., Mathews, H.D., Raddatz, T., Rayner, P., Reick, C., Roeckner, E., Schnitzler, K.-G., Schnur, R., Strassmann, K., Weaver, A.J., Yoshikawa, C. and Zeng, N. (2006) Climate-Carbon Cycle Feedback Analysis: Results from the C4MIP Model Intercomparison. Journal of Climate, 19, 3337-3353.
http://dx.doi.org/10.1175/JCLI3800.1
[41] Hansen, J., Ruedy, R., Sato, M., Imhoff, M., Lawrence, W., Easterling, D., Peterson, T. and Karl, T. (2001) A Closer Look at United States and Global Surface Temperature Change. Journal of Geophysical Research, 106, 23947-23963.
http://dx.doi.org/10.1029/2001JD000354
[42] Hansen, J., Ruedy, R., Sato, M. and Lo, K. (2010) Global Surface Temperature Change. Reviews of Geophysics, 48, 1-29.
http://dx.doi.org/10.1029/2010RG000345
[43] Zweirs, F.W. and Von Storch, H. (2004) On the Role of Statistics in Climate Research. International Journal of Climatology, 24, 665-680.
http://dx.doi.org/10.1002/joc.1027
[44] Reiter, A., Weidinger, R. and Mauser, W. (2012) Recent Climate Change at the Upper Danube—A Temporal and Spatial Analysis of temperature and Precipitation Time Series. Climatic Change, 111, 665-696.
http://dx.doi.org/10.1007/s10584-011-0173-y
[45] Raha, A., Das, S., Banerjee, K. and Mitra, A. (2012) Climate Change Impacts on Indian Sunderbans: A Time Series Analysis (1924-2008). Biodiversity and Conservation, 21, 1289-1307.
http://dx.doi.org/10.1007/s10531-012-0260-z
[46] Martínez, M.D., Serra, C., Burgueñoc, A. and Lana, X. (2010) Time Trends of Daily Maximum and Minimum Temperatures in Catalonia (ne Spain) for the Period 1975-2004. International Journal of Climatology, 30, 267-290.
[47] New, M., Todd, M., Hulme, M. and Jones, P. (2001) Precipitation Measurements and Trends in the Twentieth Century. International Journal of Climatology, 21, 1899-1922.
http://dx.doi.org/10.1002/joc.680
[48] Qian, W.H. and Qin, A. (2008) Precipitation Division and Climate Shift in China from 1960 to 2000. Theoretical and Applied Climatology, 93, 1-17.
http://dx.doi.org/10.1007/s00704-007-0330-4
[49] Schlüter, M.H., Merico, A., Wiltshire, K.H., Greve, W. and von Storch, H. (2008) A Statistical Analysis of Climate Variability and Ecosystem Response in the German Bight. Ocean Dynamics, 58, 169-186.
http://dx.doi.org/10.1007/s10236-008-0146-5
[50] Hasselmann, K. (1993) Optimal Fingerprints for the Detection of Time Dependent Climate Change. Journal of Climate, 6, 1957-1971.
http://dx.doi.org/10.1175/1520-0442(1993)006<1957:OFFTDO>2.0.CO;2
[51] Hasselmann, K. (1997) Climate-Change Research after Kyoto. Nature, 390, 225-226.
http://dx.doi.org/10.1038/36719
[52] Hegerl, G.C. and North, G.R. (1997) Statistically Optimal Methods for Detecting Anthropogenic Climate Change. Journal of Climate, 10, 1125-1133.
http://dx.doi.org/10.1175/1520-0442(1997)010<1125:COSOAT>2.0.CO;2
[53] Allen, M.R. and Tett, S.F.B. (1999) Checking for Model Consistency in Optimal Fingerprinting. Climate Dynamics, 15, 419-434.
http://dx.doi.org/10.1007/s003820050291
[54] Hegerl, G.C. and Allen, M.R. (2002) Origins of Model–Data Discrepancies in Optimal Fingerprinting. Journal of Climate, 15, 1348-1356.
http://dx.doi.org/10.1175/1520-0442(2002)015<1348:OOMDDI>2.0.CO;2
[55] Seidel, D.J. and Lanzante, J.R. (2004) An Assessment of Three Alternatives to Linear Trends for Characterizing Global Atmospheric Temperature Changes. Journal of Geophysical Research, 109, Article ID: D14108.
http://dx.doi.org/10.1029/2003jd004414
[56] Hunt, B.G. and Elliot, T.I. (2006) Climatic Trends. Climate Dynamics, 26, 567-585.
http://dx.doi.org/10.1007/s00382-005-0102-8
[57] Donat, M.G. and Alexander, L.V. (2012) The Shifting Probability Distribution of Global Daytime and Night-Time Temperatures. Geophysical Research Letters, 39, Article ID: L14707.
http://dx.doi.org/10.1029/2012gl052459
[58] Stefanova, L., Sura, P. and Griffin, M. (2013) Quantifying the Non-Gaussianity of Wintertime Daily Maximum and Minimum Temperatures in the Southeast. Journal of Climate, 26, 838-850.
http://dx.doi.org/10.1175/JCLI-D-12-00161.1
[59] Lorenz, E.N. (1967) The Nature and the Theory of the General Circulation in the Atmosphere. WMO Publication, Geneva, No. 218.
[60] Diaz, H.F. and Bradley, R.S. (2004) The Hadley Circulation: Present, Past and Future. Springer, Netherlands.
http://dx.doi.org/10.1007/978-1-4020-2944-8
[61] Levine, X.J. (2013) Dynamics of Earth’s Hadley Circulation. Doctoral Dissertation, California Institute of Technology, Pasadena.
[62] Levine, X.J. and Schneider, T. (2011) Response of the Hadley Circulation to Climate Change in an Aquaplanet GCM Coupled to a Simple Representation of Ocean Heat Transport. Journal of the Atmospheric Sciences, 68, 769-783.
http://dx.doi.org/10.1175/2010JAS3553.1
[63] Lui, J., Song, M., Hu, Y. and Ren, X. (2012) Changes in the Strength and Width of the Hadley Circulation. Climate of the Past, 8, 1169-1175.
http://dx.doi.org/10.5194/cp-8-1169-2012
[64] Lu, J., Vecchi, G.A. and Reichler, T. (2007) Expansion of Hadley Cell under Global Warming. Geophysical Research Letters, 34, Article ID: L06805.
[65] Hansen, J., Sato, M., Ruedy, R., Lo, K., Lea, D.W. and Medina-Elizade, M. (2006), Global Temperature Change. Proceedings of the National Academy of Sciences of the United States of America, 103, 14288-14293.
http://dx.doi.org/10.1073/pnas.0606291103
[66] Kharin, V.V., Zwiers, F.W., Zhang, X. and Hegerl, G.C. (2007) Changes in Temperature and Precipitation Extremes in the IPCC Ensemble of Global Coupled Model Simulations. Journal of Climate, 20, 1419-1444.
http://dx.doi.org/10.1175/JCLI4066.1
[67] Trenberth, K.E., Smith, L., Qian, T., Dai, A. and Fasullo, J. (2007) Estimates of the Global Water Budget and Its Annual Cycle Using Observational and Model Data. Journal of Hydrometeorology, 8, 758-769.
http://dx.doi.org/10.1175/JHM600.1
[68] Dai, A. (2007) Precipitation Characteristics in Eighteen Coupled Climate Models. Journal of Climate, 19, 4605-4630.
http://dx.doi.org/10.1175/JCLI3884.1
[69] Sun, Y., Zhou, T.J. and Zhang, L.X. (2013) Observational Analysis and Numerical Simulation of the Interannual Variability of the Boreal Winter Hadley Circulation over the Recent 30 Years. Science China: Earth Sciences, 56, 647-661.
http://dx.doi.org/10.1007/s11430-012-4497-x

Copyright © 2023 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.