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Integration of Space and In Situ Observations to Study Global Climate Change

Bengtsson, L. and Shukla, J. (1988) Integration of Space and In Situ Observations to Study Global Climate Change. Bulletin of the American Meteorological Society, 69. pp. 1130-1143. ISSN 1520-0477

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To link to this item DOI: 10.1175/1520-0477(1988)069<1130:IOSAIS>2.0.CO;2

Abstract/Summary

The currently available model-based global data sets of atmospheric circulation are a by-product of the daily requirement of producing initial conditions for numerical weather prediction (NWP) models. These data sets have been quite useful for studying fundamental dynamical and physical processes, and for describing the nature of the general circulation of the atmosphere. However, due to limitations in the early data assimilation systems and inconsistencies caused by numerous model changes, the available model-based global data sets may not be suitable for studying global climate change. A comprehensive analysis of global observations based on a four-dimensional data assimilation system with a realistic physical model should be undertaken to integrate space and in situ observations to produce internally consistent, homogeneous, multivariate data sets for the earth's climate system. The concept is equally applicable for producing data sets for the atmosphere, the oceans, and the biosphere, and such data sets will be quite useful for studying global climate change.

Item Type:Article
Refereed:Yes
Divisions:Faculty of Science > School of Mathematical, Physical and Computational Sciences > Environmental Systems Science Centre
Faculty of Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
ID Code:31868
Publisher:American Meteorological Society

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