Toward the assimilation of time-averaged observations

Details Toward the assimilation of time-averaged observations Toward the assimilation of time-averaged observations

Feb 2005

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005georl..3204804d&link_type=abstract

Geophysical Research Letters, Volume 32, Issue 4, CiteID L04804

Mathematics

Logic

2

Atmospheric Processes: Data Assimilation, Atmospheric Processes: Climatology (1616, 1620, 3305, 4215, 8408), Atmospheric Processes: Paleoclimatology (0473, 4900), Atmospheric Processes: General Or Miscellaneous, Atmospheric Processes: Theoretical Modeling

Scientific paper

A novel algorithm is described for the assimilation of time-averaged observations. A demonstration of this algorithm in an ideal model using an ensemble Kalman filter technique suggests the potential for resolving dynamical features that have a characteristic time-scale longer than the averaging time of the observations. This technique may offer new perspectives in climate reconstruction and in the assimilation of integrated meteorological quantities such as accumulated precipitation.

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