Statistics
Scientific paper
Sep 2002
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002georl..29r...5b&link_type=abstract
Geophysical Research Letters, Volume 29, Issue 18, pp. 5-1, CiteID 1858, DOI 10.1029/2001GL014473
Statistics
3
Oceanography: Physical: Upper Ocean Processes, Oceanography: Physical: Air/Sea Interactions (0312), Oceanography: General: Ocean Prediction, Oceanography: Physical: Fine Structure And Microstructure
Scientific paper
In this paper, we assess the short-term forecast error of a mesoscale primitive-equation open-ocean model, induced by uncertainties in wind forcing. Statistics calculated from an ensemble of ocean states show that temperature forecast error is strongest at the top of the ensemble-mean thermocline, as a consequence of vertical displacement of the mixed-layer base around its ensemble mean. Horizontal pattern of the temperature error in the mixed-layer is mainly explained by horizontal advection and surface heat flux fluctuations. These two mechanisms and entrainment through the mixed-layer bottom are presented as the three processes responsible for thermal forecast error growth in the modeled upper ocean.
Baraille R.
Burillo Andreu I.
Caniaux Guy
de Mey Pierre
Gavart M.
No associations
LandOfFree
Assessing ocean-model sensitivity to wind forcing uncertainties does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Assessing ocean-model sensitivity to wind forcing uncertainties, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Assessing ocean-model sensitivity to wind forcing uncertainties will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1048164