Ocean prediction; Eddies and mesoscale processes; Fronts and jets; Modeling
Abstract :
[en] [1] We present results of the optimization of near-real time on-board sampling strategy in the Iceland-Faroes oceanic frontal area, based on the outputs of a mesoscale 3D operational data assimilation forecasting experiment. By minimizing a root mean square error cost function, we show that in this example an along-front sampling strategy, i.e. with transects parallel to the front, produces smaller errors in temperature, salinity, nitrate, phytoplankton, and zooplankton fields, as a result of a combination of the direction of the sampling of the front and errors associated with the asynopticy of observations (Doppler effect). This is contrary to the classic across-front sampling strategies that are used in most field experiments reported in the literature, i.e. where transects are perpendicular to the front. A control model shows that at these spatio-temporal scales, the along front sampling strategy is optimal when the frontal instability has sufficiently developed.
Research Center/Unit :
Centre Interfacultaire de Recherches en Océanologie - MARE - GHER
Disciplines :
Physical, chemical, mathematical & earth Sciences: Multidisciplinary, general & others
Author, co-author :
Rixen, Michel
Allen, J. T.
Alderson, S.
Cornell, V.
Crisp, N.
Fielding, S.
Mustard, A. T.
Pollard, R. T.
Popova, E. E.
Smeed, D. A.
Srokosz, M. A.
Barth, Alexander ; Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > Océanographie physique