An improved near-surface velocity climatology for the global ocean from drifter observations

Laurindo, Lucas C.; Mariano, Arthur J.; Lumpkin, Rick

doi:10.1016/j.dSR.2017.04.009

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An improved near-surface velocity climatology for the global ocean from drifter observations

2017
By Laurindo, Lucas C. ; Mariano, Arthur J. ; Lumpkin, Rick
Source: Deep-Sea Research Part I-Oceanographic Research Papers, 124, 73-92.

[PDF-3.37 MB]

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Journal Title:

Deep-Sea Research Part I-Oceanographic Research Papers
Personal Author:

Laurindo, Lucas C. ; Mariano, Arthur J. ; Lumpkin, Rick

Laurindo, Lucas C. ; Mariano, Arthur J. ; Lumpkin, Rick Less -
NOAA Program & Office:

OAR (Oceanic and Atmospheric Research) ; AOML (Atlantic Oceanographic and Meteorological Laboratory)

OAR (Oceanic and Atmospheric Research) ; AOML (Atlantic Oceanographic and Meteorological Laboratory) Less -
Description:

This work updates the methods of Lumpkin and Johnson (2013) to obtain an improved near-surface velocity climatology for the global ocean using observations from undrogued and 15-m drogued Global Drifter Program (GDP) drifters. The proposed procedure includes the correction of the slip bias of undrogued drifters, thus recovering about half of the GDP dataset; and a new approach for decomposing Lagrangian data into mean, seasonal and eddy components, which reduces the smoothing of spatial gradients inherent in data binning methods. The sensitivity of the results to method parameters, the method performance relative to other techniques, and the associated estimation errors, are evaluated using statistics calculated for a test dataset consisting of altimeter-derived geostrophic velocities subsampled at the drifter locations, and for the full altimeter-derived geostrophic velocity fields.
Source:

Deep-Sea Research Part I-Oceanographic Research Papers, 124, 73-92.
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https://doi.org/10.1016/j.dSR.2017.04.009
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Journal Article
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urn:sha256:ae991c6ba5fb088addbb9014ba67dc9a97f2e7a8e03cd5caba2ebb9b41dfce77
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An improved near-surface velocity climatology for the global ocean from drifter observations

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