February 28, 2007
GCRIO Program Overview
Our extensive collection of documents.
Archives of the
Global Climate Change Digest
A Guide to Information on Greenhouse Gases and Ozone Depletion
Published July 1988 through June 1999
FROM VOLUME 10, NUMBER 6, JUNE 1997
IMPACT RESEARCH METHODOLOGY
"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.
"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.
"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 firstname.lastname@example.org), A.
Henderson-Sellers, Intl. J. Climatol., 16(10), 1079-1086, Oct.
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.
"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.)
Guide to Publishers
Index of Abbreviations