February 28, 2007
GCRIO Program Overview
Our extensive collection of documents.
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Global Climate Change Digest
A Guide to Information on Greenhouse Gases and Ozone Depletion
Published July 1988 through June 1999
FROM VOLUME 1, NUMBER 2, AUGUST 1988
"Late-Quaternary Dynamics of Temperate Forests: Applications of
Paleoecology to Issues of Global Environmental Change," P.A. Delcourt
(Dept. Geol. Sci., Univ. Tenn., Knoxville TN 37996), H.R. Delcourt,
Quaternary Sci. Rev., 6(2), 129-146, June 1987.
Paleoecological evidence recently summarized from 162 fossil-pollen sites in
eastern North America provides new insights concerning the nature and rate of
response of temperate forest ecosystems to late Pleistocene and Holocene
environmental changes. The review concentrates on the nature of individualistic
migrations of tree taxa in response to climatic change, forest community
dynamics, and evidence for impacts of prehistoric Native Americans on natural
vegetation. This serves as a background for evaluating the possible effects of
future changes on a global scale.
"Climate Model Simulations of the Equilibrium Climatic Response to
Increased Carbon Dioxide," M.E. Schlesinger (Dept. Atmos. Sci., Oregon
State Univ., Corvallis OR 97331), J.F.B. Mitchell, Rev. Geophys., 25(4),
760-798, May 1987.
Early assessments of the potential climatic effects of increased CO2 were
performed using simplified energy balance and radiative-convective models.
General circulation models (GCMs), which include the essential dynamics and
thermodynamics of the feedback process, were developed to include the feedback
mechanisms of climate change. Different results were obtained in recent
CO2-doubling experiments performed with three GCMs that include the annual
insolation cycle. To improve the simulation of equilibrium climatic change
induced by increased CO2 concentrations, contemporary GCM simulations should be
analyzed to determine the feedback processes responsible for their differences,
and the parameterization of these processes in the GCMs should be validated
against highly detailed models and observations.
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