GliderTools: A Python Toolbox for Processing Underwater Glider Data

Gregor, Luke; Ryan‐Keogh, Thomas J.; Nicholson, Sarah; Plessis, Marcel du; Giddy, Isabelle; Swart, Sebastiaan

doi:10.3389/fmars.2019.00738

Cited by 19 publications

(15 citation statements)

References 38 publications

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“…The Slocum dataset was processed with the GEOMAR MATLAB toolbox and post-processing gridding (i.e. vertical interpolation to 1 m bins) and quality control of the glider data was carried out with GliderTools 54 . A Savitzky-Golay 55 filter was applied to the glider salinity and temperature profiles to remove spurious spiking in the data (as recommended in GliderTools) and smoothed further with a rolling mean (9 profiles or about 18 h window).…”

Section: Methodsmentioning

confidence: 99%

“…In addition, NPP is estimated from bio-optical measurements on the Slocum glider, which was fitted with a WETLabs ECO puck™ (BB2Fl-470/700), thus measuring chlorophyll- a fluorescence (proxy for phytoplankton concentration) and two wavelengths of optical backscattering by particles, bbp(470) and bbp(700). The optics data were cleaned and processed following procedures recommended by GliderTools 54 . Backscatter, bbp(700), was converted to phytoplankton carbon following Behrenfeld et al 72 .…”

Section: Methodsmentioning

confidence: 99%

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Storms drive outgassing of CO2 in the subpolar Southern Ocean

Nicholson¹,

Fer

Plessis

et al. 2022

Nat Commun

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The subpolar Southern Ocean is a critical region where CO2 outgassing influences the global mean air-sea CO2 flux (FCO2). However, the processes controlling the outgassing remain elusive. We show, using a multi-glider dataset combining FCO2 and ocean turbulence, that the air-sea gradient of CO2 (∆pCO2) is modulated by synoptic storm-driven ocean variability (20 µatm, 1–10 days) through two processes. Ekman transport explains 60% of the variability, and entrainment drives strong episodic CO2 outgassing events of 2–4 mol m−2 yr−1. Extrapolation across the subpolar Southern Ocean using a process model shows how ocean fronts spatially modulate synoptic variability in ∆pCO2 (6 µatm2 average) and how spatial variations in stratification influence synoptic entrainment of deeper carbon into the mixed layer (3.5 mol m−2 yr−1 average). These results not only constrain aliased-driven uncertainties in FCO2 but also the effects of synoptic variability on slower seasonal or longer ocean physics-carbon dynamics.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Storms drive outgassing of CO2 in the subpolar Southern Ocean

Nicholson¹,

Fer

Plessis

et al. 2022

Nat Commun

Self Cite

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show abstract

“…The Seaglider sampled temperature and conductivity (salinity) nominally at 0.2 Hz, equating to a vertical resolution of 0.2-1.5 m, with an average resolution of 0.5 m in the upper 400 m. The Seaglider data were prepared for analysis using GliderTools (Gregor et al, 2019). Salinity and temperature were converted to absolute salinity and conservative temperature, respectively, using the Gibbs Seawater toolbox (McDougall & Barker, 2011).…”

Section: Seaglider Mission and Data Processingmentioning

confidence: 99%

Stirring of Sea‐Ice Meltwater Enhances Submesoscale Fronts in the Southern Ocean

et al. 2021

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“…The Slocum data set was processed with the GEOMAR MATLAB toolbox, which includes the removal of minor thermal‐lag errors. Postprocessing of all gliders was performed using the GliderTools Python toolbox (Gregor et al., 2019). This involved the classification and removal of erroneous data points in temperature and salinity, defined as values larger than a 5‐point rolling standard deviation.…”

Section: Methodsmentioning

confidence: 99%

The Daily‐Resolved Southern Ocean Mixed Layer: Regional Contrasts Assessed Using Glider Observations

et al. 2022

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Water mass transformation in the Southern Ocean is vital for driving the large‐scale overturning circulation, which transports heat from the surface to the ocean interior. Using profiling gliders, this study investigates the role of summertime buoyancy forcing and wind‐driven processes on the intraseasonal (1–10 days) mixed layer thermohaline variability in three Southern Ocean regions southwest of Africa important for water mass transformation—the Subantarctic Zone (SAZ), Polar Frontal Zone (PFZ), and Marginal Ice Zone (MIZ). At intraseasonal time scales, heat flux was shown as the main driver of buoyancy gain in all regions. In the SAZ and MIZ, shallow mixed layers and strong stratification enhanced mixed layer buoyancy gain by trapping incoming heat, while buoyancy loss resulted primarily from the entrainment of cold, salty water from below. In the PFZ, rapid mixing linked to Southern Ocean storms set persistently deep mixed layers and suppressed mixed layer intraseasonal thermohaline variability. In the polar regions, lateral stirring of meltwater from seasonal sea‐ice melt dominated daily mixed layer salinity variability. We propose that these meltwater fronts are advected to the PFZ during late summer, indicating the potential for seasonal sea‐ice freshwater to impact a region where the upwelling limb of overturning circulation reaches the surface. This study reveals a regional dependence of how the mixed layer thermohaline properties respond to small spatiotemporal processes, emphasizing the importance of surface forcing occurring between 1 and 10 days on the mixed layer water mass transformation in the Southern Ocean.

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GliderTools: A Python Toolbox for Processing Underwater Glider Data

Cited by 19 publications

References 38 publications

Storms drive outgassing of CO2 in the subpolar Southern Ocean

Storms drive outgassing of CO2 in the subpolar Southern Ocean

Stirring of Sea‐Ice Meltwater Enhances Submesoscale Fronts in the Southern Ocean

The Daily‐Resolved Southern Ocean Mixed Layer: Regional Contrasts Assessed Using Glider Observations

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