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contributor authorWang, Tianyu
contributor authorGille, Sarah T.
contributor authorMazloff, Matthew R.
contributor authorZilberman, Nathalie V.
contributor authorDu, Yan
date accessioned2019-09-19T10:03:45Z
date available2019-09-19T10:03:45Z
date copyright5/29/2018 12:00:00 AM
date issued2018
identifier otherjtech-d-17-0214.1.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4261107
description abstractAbstractArgo 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.
publisherAmerican Meteorological Society
titleNumerical Simulations to Project Argo Float Positions in the Middepth and Deep Southwest Pacific
typeJournal Paper
journal volume35
journal issue7
journal titleJournal of Atmospheric and Oceanic Technology
identifier doi10.1175/JTECH-D-17-0214.1
journal fristpage1425
journal lastpage1440
treeJournal of Atmospheric and Oceanic Technology:;2018:;volume 035:;issue 007
contenttypeFulltext


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