Details:

Journal Title:
Journal of Atmospheric and Oceanic Technology
Personal Author:
Wang, Tianyu ; Gille, Sarah T. ; Mazloff, Matthew R. ; Zilberman, Nathalie V. ; Du, Yan
Wang, Tianyu ; Gille, Sarah T. ; Mazloff, Matthew R. ; Zilberman, Nathalie V. ; Du, Yan Less -
NOAA Program & Office:
OAR (Oceanic and Atmospheric Research)
Description:
Argo float trajectories are simulated in the southwest Pacific basin (25°–45°S, 170°E–165°W) using velocity fields from a 1/12° Southern Ocean model and a Lagrangian particle tracking model programmed to represent the vertical motions of profiling Argo floats. The system is applied to simulate both core Argo floats (typically parked at 1000-m depth and profiling to 2000-m depth) and Deep Argo floats (parked 500 m above the seafloor). The goal is to estimate probability density functions (PDFs) predicting future float positions. Differences are expected in the trajectory statistics, largely because of limitations in the temporal and spatial resolution of the model fields and uncertainties associated with a random walk component included in the particle advection scheme to represent this unresolved variability. Nonetheless, the core Argo float displacements over ~100-day time intervals are mostly consistent with the derived PDFs, particularly in regions with stable midlayer flows. For the Deep Argo floats, which are released into the open ocean and parked near the bottom, the simulations predict an average total displacement of less than 50 km within 100 days, in good agreement with the Deep Argo floats deployed as part of a pilot study. The study explores both the representativeness and the predictability of float displacements, with an aim to contribute to planning for the float observing system.
Keywords:
[+]
Atmospheric Science Ocean Engineering
Source:
Journal of Atmospheric and Oceanic Technology, 35(7), 1425-1440
DOI:
https://doi.org/10.1175/jtech-d-17-0214.1
ISSN:
0739-0572;1520-0426;
Format:
PDF
Publisher:
American Meteorological Society
Document Type:
Journal Article
Funding:
Grant no. NA10OAR4310139
Rights Information:
Other
Compliance:
Library
Main Document Checksum:
[+]
urn:sha256:770c2bfbfc065dff90e1980b183438799ccb5a14a7d8e90f5e0e3518daee5bc7
Download URL:
https://repository.library.noaa.gov/view/noaa/59914/noaa_59914_DS1.pdf
File Type:

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