A statistical modeling approach for the simulation of local paleoclimatic proxy records using general circulation model output

Journal of Geophysical Research Atmospheres

Volumn 104, Issue D16, 1999, Pages 19071-19083

  Reichert, Bernhard K ^a   Bengtsson, Lennart ^a   Åkesson, Ove ^b  

^a MAX PLANCK INSTITUTE FOR METEOROLOGY   (Germany)

^b SWEDISH METEOROLOGICAL AND HYDROLOGICAL INSTITUTE   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

CLIMATE MODELING; GENERAL CIRCULATION MODEL; PALEOCLIMATE; PROXY CLIMATE RECORD;

EID: 0033609653     PISSN: 01480227     EISSN: None     Source Type: Journal    
DOI: 10.1029/1999JD900264     Document Type: Article

References (37)

1. Barnett, T.P., B. D. Santer, P. D. Jones, R. S. Bradley, and K. R. Briffa, Estimates of low frequency natural variability in near-surface air temperature, Holocene, 6, 255-263, 1996.
2. Bengtsson, L., The weather forecast, Pure Appl. Geophys., 119, 515-537, 1981.
3. Bergeron, T., Richtlinien einer dynamischen Klimatologie, Meteorol. Z., 47, 246-262, 1930. (Engl. transl., Ground plan of a dynamic climatology, Mon. Weather Rev., 59, 219-235, 1931.)
4. Bergeron, T., Richtlinien einer dynamischen Klimatologie, Meteorol. Z., 47, 246-262, 1930. (Engl. transl., Ground plan of a dynamic climatology, Mon. Weather Rev., 59, 219-235, 1931.)
5. Bradley, R. S., Are there optimum sites for global paleotemperature reconstruction?, in Climatic Variations and Forcing Mechanisms of the Last 2000 Years, edited by P. D. Jones, R. S. Bradley and J. Jouzel, NATO ASI Ser., Ser. I, 41, 603-624, 1996.
6. Bradley, R. S., and P. D. Jones, "Little Ice Age" summer temperature variations: Their nature and relevance to recent global warming trends, Holocene, 3, 367-376, 1993.
7. Briffa, K. R., P. D. Jones, T. S. Bartholin, D. Eckstein, F. H. Schweingruber, W. Karlen, P. Zetterberg, and M. Eronen, Fennoscandian summers from AD 500: Temperature changes on short and long timescales, Clim. Dyn., 7, 111-119, 1992.
8. Cubasch, U., H. von Storch, J. Waszkewitz, and E. Zorita, Estimates of climate change in southern Europe derived from dynamical climate model output, Clim. Res., 7, 129-149, 1996.
9. 18O record of climate variability in the Galapagos corals, Paleoceanography, 9, 291-315, 1994.
10. George, J. J. (Ed.), Weather Forecasting for Aeronautics, pp. 407-415, Academic, San Diego, Calif., 1960.
11. Gibson, J. K., P. Kållberg, S. Uppala, A. Nomura, A. Hernandez, and E. Serrano, ERA Description, ECMWF Re-Anal. Proj. Rep. Ser., Rep. 1, Eur. Cent, for Medium-Range Weather Forecasts, Reading, England, 1997.
12. Groveman, B. S., and H. E. Landsberg, Reconstruction of Northern Hemisphere temperature: 1579-1880, in Meteorol. Program Publ., vol. 79-181, Univ. of Md., College Park, 1979.
13. Heyen, H., E. Zorita, and H. von Storch, Statistical downscaling of monthly mean North Atlantic air-pressure to sea level anomalies in the Baltic Sea, Tellus, Ser. A, 48, 312-323, 1996.
14. Intergovernmental Panel on Climate Change (IPCC), Climate Change, The IPCC Scientific Assessment, edited by J. T. Houghton et al., Cambridge Univ. Press, New York, 1990.
15. IPCC, Climate Change 1994, Radiative Forcing of Climate Change, edited by J. T. Houghton et al., p. 80/194, Cambridge Univ. Press, New York, 1995.
16. Jones, P. D., and R. S. Bradley, Climatic variations in the longest instrumental records, in Climate Since A. D. 1500, edited by R. S. Bradley and P. D. Jones, pp. 246-268, Routledge, New York, 1992.
17. Karl, T. R., W.-C. Wang, M. E. Schlesinger, R. W. Knight, and D. Portman, A method of relating general circulation model simulated climate to the observed local climate, I, Seasonal statistics, J. Clim., 3, 1053-1079, 1990.
18. Kim, J.-W., J.-T. Chang, N. L. Baker, D. S. Wilks, and W. L. Gates, The statistical problem of climate inversion: Determination of the relationship between local and large-scale climate, Mon. Weather Rev., 112, 2069-2077, 1984.
19. Landsberg, H. E., B. S. Groveman, and I. M. Hakkarinen, A simple method for approximating the annual temperature of the Northern Hemisphere, Geophys. Res. Lett., 5, 505-506, 1978.
20. Manabe, S., and R. J. Stouffer, Low-frequency variability of surface air temperature in a 1000-year integration of a coupled atmosphere-ocean-Iand surface model, J. Clim., 9, 376-393, 1996.
21. Mann, M. E., R. S. Bradley, and M. K. Hughes, Global-scale temperature patterns and climate forcing over the past six centuries, Nature, 392, 779-787, 1998.
22. Martin E., B. Timbal, and E. Brun, Downscaling of general circulation model outputs - Simulation of the snow climatology of the French Alps and sensitivity to climate change, Clim. Dyn., 13, 45-56, 1996.
23. Oerlemans, J., Climate sensitivity of glaciers in southern Norway: Application of an energy-balance model to Nigardsbreen, Helstugubreen and Alfotbreen, J. Glaciol., 38, 223-232, 1992.
24. Oerlemans, J., Modelling the response of valley glaciers to climatic change, in Physics and Chemistry of the Atmospheres of the Earth and Other Objects of the Solar System, edited by C. Boutron, Eur. Res. Course Atmos., vol.2, pp. 91-123, Les Editions de Physique, Les Ulis, France, 1996.
25. Oerlemans, J., A flow-line model for Nigardsbreen: Projection of future glacier length based on dynamic calibration with the historic record, Ann. Glaciol., 24, 382-389, 1997.
26. Paterson, W. S. B. (Ed.), The Physics of Glaciers, 2nd ed., Pergamon, New York, 1981.
27. Peterson, T. C., and R. S. Vose, An overview of the Global Historical Climatology Network temperature data base, Bull. Am. Meteorol. Soc., 78, 2837-2849, 1997.
28. Pfister, C., Monthly temperature and precipitation in central Europe from 1525-1979: Quantifying documentary evidence on weather and its effects, in Climate Since A. D. 1500, edited by R. S. Bradley and P. D. Jones, pp. 118-142, Routledge, New York, 1992.
29. Reichert, B. K., L. Bengtsson, and O. Åkesson, A statistical-dynamical modeling approach for the simulation of local paleo proxy records using GCM output, Rep. 274, Max-Planck-Inst. für Meteorol., Hamburg, Germany, 1998.
30. Roeckner, E., L. Arpe, L. Bengtsson, M. Christoph, M. Claussen, L. Dumenil, M. Esch, M. Giorgetta, U. Schlese, and U. Schulzweida, The atmospheric general circulation model ECHAM-4: Model description and simulation of present-day climate, Rep. 218, Max-Planck-Inst. für Meteorol., Hamburg, Germany, 1996.
31. Roeckner, E., Climate sensitivity experiments with the MPI/ECHAM4 model coupled to a slab ocean (abstract), in Euroclivar Workshop on Cloud Feedbacks and Climate Change, edited by C. A. Senior and J. F. B. Mitchell, pp. 20, Hadley Cent. for Clim. Predict. and Res., Bracknell, England, 1997.
32. Roeckner, E., Bengtsson, L., Feichter, J. Lelieveld, J. and H. Rodhe, Transient climate change simulations with a coupled atmosphere-ocean GCM including the tropospheric sulfur cycle, J. Clim., in press, 1999.
33. Stendel, M., and K. Arpe, Evaluation of the Hydrological Cycle in Re-Analysis and Observations, ECMWF Re-Analysis Validation Reports - Part 1, ECMWF Re-Anal. Proj. Rep. Ser., Rep. 6, Eur. Cent, for Medium-Range Weather Forecasts, Reading, England, 1997.
34. Thompson, L. G., Ice core evidence from Peru and China, in Climate Since A. D. 1500, edited by R. S. Bradley, and P. D. Jones, pp. 517-548, Routledge, New York, 1992.
35. von Storch, H., and F. W. Zwiers (Eds.), Statistical Analysis in Climate Research, Cambridge Univ. Press, New York, 1999.
36. von Storch, H., E. Zorita, and U. Cubasch, Downscaling of global climate change estimates to regional scales: An application to Iberian rainfall in wintertime, J. Clim., 6, 1161-1171, 1993.
37. Wigley, T. M. L., P. D. Jones, K. R. Briffa, and G. Smith, Obtaining sub-grid-scale information from coarse-resolution general circulation model output, J. Geophys. Res., 95, 1943-1953, 1990.