Climate Change Impacts for the Conterminous USA: An Integrated Assessment View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2005

AUTHORS

Steven J. Smith , Allison M. Thomson , Norman J. Rosenberg , R. Cesar Izaurralde , Robert A. Brown , Tom M. L. Wigley

ABSTRACT

As carbon dioxide and other greenhouse gases accumulate in the atmosphere and contribute to rising global temperatures, it is important to examine how derivative changes in climate may affect natural and managed ecosystems. In this series of papers, we study the impacts of climate change on agriculture, water resources and natural ecosystems in the conterminous United States using twelve scenarios derived from General Circulation Model (GCM) projections to drive biophysical impact models. These scenarios are described in this paper. The scenarios are first put into the context of recent work on climate-change by the IPCC for the 21st century and span two levels of global-mean temperature change and three sets of spatial patterns of change derived from GCM results. In addition, the effect of either the presence or absence of a CO2 “fertilization effect” on vegetation is examined by using two levels of atmospheric CO2 concentration as a proxy variable. Results from three GCM experiments were used to produce different regional patterns of climate change. The three regional patterns for the conterminous United States range from: an increase in temperature above the global-mean level along with a significant decline in precipitation; temperature increases in line with the global-mean with an average increase in precipitation; and, with a sulfate aerosol effect added to in the same model, temperature increases that are lower than the global-mean. The resulting set of scenarios span a wide range of potential climate changes and allows examination of the relative importance of global-mean temperature change, regional climate patterns, aerosol cooling, and CO2 fertilization effects. More... »

PAGES

7-25

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/1-4020-3876-3_2

DOI

http://dx.doi.org/10.1007/1-4020-3876-3_2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1052676011


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