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Integration of space and in situ observations to study global climate changeThe use of model-based global data sets of atmospheric circulation for studying fundamental dynamical and physical processes is discussed, focusing on limitations of the available model-based data sets. Data from the Global Weather Experiment in 1979 were analyzed by two authorized level IIIb data centers in 1980 and in 1981. The analyses led to difference in data-sparse regions such as the tropics. Study areas which can be addressed by an internally-consistent long-term multivariate data set for the atmospheric circulation are considered, including mean climate, forcing for the ocean models, global hydrological cycle, atmospheric energetics, intraseasonal variability, land surface processes, and structure and variability of vertical velocity, divergence, and diabatic heating. It is concluded that the most comprehensive technique for integrating space and in situ observations to produce this type of data set would be a four-dimensional data assimilation system with a realistic physical model of the type employed in operational numerical weather prediction.
Document ID
19890026642
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Bengtsson, L.
(European Centre for Medium Range Weather Forecasts Reading, United Kingdom)
Shukla, J.
(Maryland, University College Park, United States)
Date Acquired
August 14, 2013
Publication Date
October 1, 1988
Publication Information
Publication: American Meteorological Society, Bulletin
Volume: 69
ISSN: 0003-0007
Subject Category
Meteorology And Climatology
Accession Number
89A14013
Funding Number(s)
CONTRACT_GRANT: NSF ATM-84-14660
CONTRACT_GRANT: NAGW-1166
Distribution Limits
Public
Copyright
Other

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