By John Green
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H. Schneider, eds. Forecasting in the Social and Natural Sciences: 337–78. Dordrecht: D. Reidel. Clark, W. , J. J¨ager, R. Corell, R. Kasperson, J. J. McCarthy, D. Cash, S. J. Cohen, P. Desanker, N. M. Dickson, P. Epstein, D. H. Guston, J. M. Hall, C. Jaeger, A. Janetos, N. Leary, M. A. Levy, A. Luers, M. MacCracken, J. Melillo, R. Moss, J. M. Nigg, M. L. Parry, E. A. Parson, J. C. -J. Schellnhuber, G. A. Seielstad, E. Shea, C. Vogel, and T. J. Wilbanks. 2000. Assessing Vulnerability to Global Environmental Risks.
Kates and T. J. Wilbanks 19 More global change researchers are now focusing on short-term climate forecasting, moving from the decades-to-centuries perspective of greenhouse warming to seasonal and interannual forecasts, whose reliability for certain areas has improved considerably. Recent El Ni˜no forecasts anticipated the 1997–8 ocean warming by as much as six months, although they performed less well later into the event (Kerr 2000). Such forecasts are more relevant locally and regionally, and when reliable, build user conﬁdence in undertaking anticipatory responses and adaptation to climate change.
S. Great Plains: A Multi-scale Analysis of Ricardian Climate Sensitivities. Agriculture, Ecosystems and Environment, 85 (1–3): 133–44. Rediscovering Geography Committee, National Research Council. 1997. Rediscovering Geography: New Relevance For Science and Society. Washington, DC: National Academy Press. Root, T. , and S. H. Schneider. 1995. Ecology and Climate: Research Strategies and Implications. Science, 269: 334–41. Rosenberg, N. , ed. 1993. Towards an Integrated Impact Assessment of Climate Change: The MINK Study.
Atmospheric dynamics by John Green