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Global Climate Change DigestArchives of the
Global Climate Change Digest

A Guide to Information on Greenhouse Gases and Ozone Depletion
Published July 1988 through June 1999



Item #d97jun40

"Use of a Stochastic Weather Generator in the Development of Climate Change Scenarios," M.A. Semenov (IACR Long Ashton Res. Sta., Dept. Agric. Sci., Univ. Bristol, Bristol BS18 9AF, UK), E.M. Barrow, Clim. Change, 35(4), 397-414, Apr. 1997.

Recent work on the sensitivity of crop models and climatic extremes has shown that changes in variability can have more profound effects on crop yield and on the probability of extreme weather events than simple changes in mean values. This paper describes the construction of climate change scenarios based on spatial regression downscaling and on the use of a local stochastic weather generator. Demonstrates the importance of downscaling and the successful incorporation of climate variability at two European sites.

Item #d97jun41

"Grid Point Surface Air Temperature Calculations with a Fast Turnaround: Combining the Results of IMAGE and a GCM," M. Jonas (Austrian Res. Ctr. Seibersdorf, A-2444 Seibersdorf, Austria), K. Fleischmann et al., Clim. Change, 34(3-4), 479-512, Nov.-Dec. 1996.

This work combined the advantages of the IMAGE integrated policy assessment model (quick results, even on a personal computer, but at a global spatial scale), with those of a full GCM (spatially detailed information at many grid points, but with long computation time on a large computer). The method is tested extensively with IPCC scenarios.

Item #d97jun42

"Grid Box or Grid Point: What Type of Data Do GCMs Deliver to Climate Impacts Researchers?" W.C. Skelly (Royal Melbourne Inst. Technol., Melbourne, Vic., Australia; e-mail: chris, A. Henderson-Sellers, Intl. J. Climatol., 16(10), 1079-1086, Oct. 1996.

Researchers are hesitant to interpret sub-grid scale information from GCM simulations because the spatial nature of model grid-point data is unclear. The authors examine this question, concluding that one can view GCM grid data either as point values or as area averages, at least until there is some definitive evidence to support one approach over the other. The subsequent interpretation of the data must be consistent with the approach chosen.

Item #d97jun43

"Global Comparison of the Regional Rainfall Results of Enhanced Greenhouse Coupled and Mixed Layer Ocean Experiments: Implications for Climate Change Scenario Development," P.H. Whetton (Div. Atmos. Res., CSIRO, P.B. 1, Aspendale 3195, Victoria, Australia), M.H. England et al., Clim. Change, 33(4), 497-519, Aug. 1996. (See PROF. PUBS./GLOBAL MODELING, Global Climate Change Digest, Oct.-Nov. 1996.)

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