On the predictability of regional oceanic jet stream: The impact of model errors at the inflow boundary

Clicks: 1
ID: 309008
1999
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal

Ranked #1,397 of 1,397 articles by views in journal of marine research

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 1,397 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
When a jet is simulated in a fine-resolution regional model with inflow and outflow boundaries, its dynamical behavior depends crucially on the specified inflow boundary condition (IBC). Our primary goals are (1) to explore the model's ability to simulate the jet when the IBC is approximately known, (2) to examine the dynamical propagation and growth of the IBC errors in both space and time, and (3) to assess the relative usefulness of different types of data used to specify the IBC. This paper represents the results of an ensemble of 30 IBC-perturbed experiments derived from the Semi-Spectral Primitive Equation Model (SPEM). It is found that the system is very sensitive to the IBC perturbation, particularly in the velocity component. Evaluation of the evolution of both ensemble-mean error variance and anomaly correlation shows that the system's predictability limits are reached at 64 days for the streamfunction (ψ) field, 43 days for the density (ρ) field at the surface, and 50 days for the p field at the thermocline level. The longer predictability in the ψ field is mainly due to the use of the rigid-lid approximation, which filters out small-scale and hence unpredictable barotropic waves. A much shorter local predictability for all fields occurs in the domain's central area, where the jet is most unstable and where the richest dynamical activity is concentrated. We also analyze the ensemble mean fields and the ensemble distribution of the jet-axis positions from the 30 IBC-perturbed simulations. The major results are: (1) the ensemble mean field exhibits a better representation of the reference jet than a single simulation, because the averaging procedure smooths out small-scale fluctuations for which there is little simulation skill left; (2) the least number of realizations necessary to constitute a usable ensemble lies between 12 and 20; (3) the distribution of jet-axis positions is Gaussian within 60 days and then becomes non-Gaussian and excursive. In addition, the difference of jet axis positions between the ensemble mean and the reference is not statistically distinguishable until 30 days. However, it deviates with time and becomes statistically significant at 60 days. Additional experiments are performed to help clarify (1) the difference between the present and traditional predictability known as the sensitivity to initial conditions, (2) the relative impact of velocity and density perturbations on the jet simulation, and (3) the minimum strength of the IBC perturbation that cause the jet system to be unpredictable.
Reference Key
openalex_W2013570026 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Shi Jiang, Paola Malanotte‐Rizzoli
Journal journal of marine research
Year 1999
DOI
10.1357/002224099321549620
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.