Weighting Initial Conditions in Variational Assimilation Schemes

Citeable URL: https://ir.library.oregonstate.edu/concern/articles/vx021g47z

Descriptions

Attribute Name	Values
Creator	Bennett, Andrew F. Miller, Robert N.
Abstract	An analysis of variational data assimilation schemes for linear dynamical forecast models shows that the penalty functional must include an explicit contribution from the initial conditions in order to ensure a unique, low-noise forecast. The noise level is related to the effective number of data being assimilated.
Resource Type	Article
DOI	https://doi.org/10.1175/1520-0493(1991)119<1098:WICIVA>2.0.CO;2
Date Available	2011-12-28T18:32:20+00:00
Date Issued	1991-04
Citation	Bennett, Andrew F., Robert N. Miller, 1991: Weighting Initial Conditions in Variational Assimilation Schemes. Monthly Weather Review, 119(4), 1098–1102.
Journal Title	Monthly Weather Review
Journal Volume	119
Journal Issue/Number	4
Dichiarazione dei diritti	Copyright Not Evaluated
Funding Statement (additional comments about funding)	Andrew F. Bennett is supported by National Science Foundation Grant OCE-8800004, And Robert N. Miller by the Office of Naval Research Grant N00014-90-J-1125.
Publisher	American Meteorological Society
Peer Reviewed	Yes
Language	English [eng]
Replaces	http://hdl.handle.net/1957/26349