Developing 4D-Var for Strongly Coupled Data Assimilation Using a Coupled Atmosphere–Ocean Quasigeostrophic Model

dc.contributor.author	Michael Goodliff
dc.contributor.author	Stephen G. Penny
dc.date.accessioned	2023-04-12T18:32:41Z
dc.date.available	2023-04-12T18:32:41Z
dc.date.copyright	2022/09/01
dc.date.issued	2022
dc.identifier.other	MWR-D-21-0240.1.pdf
dc.identifier.uri	http://yetl.yabesh.ir/yetl1/handle/yetl/4289853
dc.description.abstract	Four-dimensional variational (4D-Var) data assimilation (DA) is developed for a coupled atmosphere–ocean quasigeostrophic application. Complications arise in coupled data assimilation (CDA) systems due to the presence of multiple spatiotemporal scales. Various formulations of the background error covariance matrix (
dc.publisher	American Meteorological Society
dc.title	Developing 4D-Var for Strongly Coupled Data Assimilation Using a Coupled Atmosphere–Ocean Quasigeostrophic Model
dc.type	Journal Paper
dc.journal.volume	150
dc.journal.issue	9
dc.journal.title	Monthly Weather Review
dc.identifier.doi	10.1175/MWR-D-21-0240.1
dc.journal.fristpage	2443
dc.journal.lastpage	2458
dc.page	2443–2458
dc.tree	Monthly Weather Review:;2022:;volume( 150 ):;issue: 009
dc.contenttype	Fulltext