摘要
Thispaperteststheideaofsubstitutingtheatmosphericobservationswithatmosphericreanalysiswhensettingupacoupleddataassimilationsystem.Thepaperfocusesonthequantificationoftheeffectsontheoceanicanalysisresultedfromthissubstitutionanddesignsfourdifferentassimilationschemesforsuchasubstitution.AcoupledLorenz96systemisconstructedandanensembleKalmanfilterisadopted.Theatmosphericreanalysisandoceanicobservationsareassimilatedintothesystemandtheanalysisqualityiscomparedtoabenchmarkexperimentwherebothatmosphericandoceanicobservationsareassimilated.Fourschemesaredesignedforassimilatingthereanalysisandtheydifferinthegenerationoftheperturbedobservationensembleandtherepresentationoftheerrorcovariancematrix.Theresultsshowthatwhenthereanalysisisassimilateddirectlyasindependentobservations,theroot-mean-squareerrorincreaseofoceanicanalysisrelativetothebenchmarkislessthan16%intheperfectmodelframework;inthebiasedmodelcase,theincreaseislessthan22%.Thisresultisrobustwithsufficientensemblesizeandreasonableatmosphericobservationquality(e.g.,frequency,noisiness,anddensity).Iftheobservationisoverlynoisy,infrequent,sparse,ortheensemblesizeisinsufficientlysmall,theanalysisdeteriorationcausedbythesubstitutionislessseveresincetheanalysisqualityofthebenchmarkalsodeterioratessignificantlyduetoworseobservationsandundersampling.Theresultsfromdifferentassimilationschemeshighlighttheimportanceoftwofactors:accuraterepresentationoftheerrorcovarianceofthereanalysisandthetemporalcoherencealongeachensemblemember,whicharecrucialfortheanalysisqualityofthesubstitutionexperiment.
出版日期
2016年04月14日（中国期刊网平台首次上网日期，不代表论文的发表时间）
