Insights on the OAFlux ocean surface vector wind analysis merged from scatterometers and passive microwave radiometers (1987 onward)

Yu, Lisan; Jin, Xiangze

doi:10.1002/2013jc009648

Cited by 22 publications

(23 citation statements)

References 95 publications

(113 reference statements)

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“…w EK is the Ekman pumping velocity and was computed from satellite-based wind stress product from the Objectively Analyzed air-sea Fluxes (OAFlux) project (Yu & Jin, 2014). The β term denotes the vertical velocity reduction due to the meridional velocity v g in the surface layer, and v g was computed from the thermal wind equations using the Ishii temperature and salinity analysis.…”

Section: Poleward Shift In the Ventilation Of Stuwmentioning

confidence: 99%

Poleward Shift in Ventilation of the North Atlantic Subtropical Underwater

Jin

Hao

2018

Geophysical Research Letters

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We report the findings that the sea surface salinity maximum (SSS‐max) in the North Atlantic has poleward expanded in recent decades and that the expansion is a main driver of the decadal changes in subtropical underwater (STUW). We present observational evidence that the STUW ventilation zone (marked by the location of the 36.7 isohaline) has been displaced northward by1.2 ± 0.36° latitude for the 34 year (1979–2012) period. As a result of the redistribution of the SSS‐max water, the ventilation zone has shifted northward and expanded westward into the Sargasso Sea. The ventilation rate of STUW has increased, which is attributed to the increased lateral induction of the sloping mixed layer. STUW has become broader, deeper, and saltier, and the changes are most pronounced on the northern and western edges of the high‐saline core.

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Section: Poleward Shift In the Ventilation Of Stuwmentioning

confidence: 99%

Poleward Shift in Ventilation of the North Atlantic Subtropical Underwater

Jin

Hao

2018

Geophysical Research Letters

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“…noaa.gov/psd/) as described in Reynolds et al (2002). For the calculation of wind stress curl we use wind stress products from the Woods Hole Oceanographic Institution objectively analyzed air-sea fluxes (OAFlux) project (Yu and Jin 2014; available online at http://oaflux. whoi.edu/), calculated using the COARE 3.0 algorithm, which has a horizontal resolution of 0.258.…”

Section: A Datamentioning

confidence: 99%

“…The averaging and smoothing required to produce monthly gridded datasets (RGAC and ECCO v4) helps to reduce the impact of aliased variability associated with mesoscale eddies (see, e.g., Forget et al 2011). We then assess the extent to which water mass volume changes are driven by air-sea exchanges of heat (Speer 1993) using various air-sea flux products (ECCO v4; Kalnay et al 1996;Yu et al 2006;Dee et al 2011). We further use ECCO v4 to determine the contributions from lateral transports to water mass inventory changes between 268 and 458N and go on to assess the relationship between those transport variations and perturbations in the wind stress curl (Dee et al 2011;Yu and Jin 2014) during the same period.…”

Section: Introductionmentioning

confidence: 99%

Recent Wind-Driven Variability in Atlantic Water Mass Distribution and Meridional Overturning Circulation

Evans

Toole

Forget

et al. 2017

Journal of Physical Oceanography

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Interannual variability in the volumetric water mass distribution within the North Atlantic Subtropical Gyre is described in relation to variability in the Atlantic meridional overturning circulation. The relative roles of diabatic and adiabatic processes in the volume and heat budgets of the subtropical gyre are investigated by projecting data into temperature coordinates as volumes of water using an Argo-based climatology and an ocean state estimate (ECCO version 4). This highlights that variations in the subtropical gyre volume budget are predominantly set by transport divergence in the gyre. A strong correlation between the volume anomaly due to transport divergence and the variability of both thermocline depth and Ekman pumping over the gyre suggests that wind-driven heave drives transport anomalies at the gyre boundaries. This wind-driven heaving contributes significantly to variations in the heat content of the gyre, as do anomalies in the air-sea fluxes. The analysis presented suggests that wind forcing plays an important role in driving interannual variability in the Atlantic meridional overturning circulation and that this variability can be unraveled from spatially distributed hydrographic observations using the framework presented here.

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“…This study aims to providing confidence and sensitivity analysis to the newly developed OAFlux vector wind time series and to complementing the study of Yu and Jin []. Two issues are addressed.…”

Section: Summary and Discussionmentioning

confidence: 99%

“…A high‐resolution global analysis of daily‐mean ocean‐surface vector winds from 1987 onward has been recently developed by the Objectively Analyzed air‐sea Fluxes (OAFlux) project through objective synthesis of 12 satellite wind sensors [ Yu and Jin , ; hereafter YJ14]. The 12 satellite sensors include 2 scatterometers that have wind speed and direction retrievals and 10 passive microwave radiometers that have wind speed retrievals only.…”

Section: Introductionmentioning

confidence: 99%

Confidence and sensitivity study of the OAFlux multisensor synthesis of the global ocean surface vector wind from 1987 onward

Jin

2014

JGR Oceans

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This study presented an uncertainty assessment of the high-resolution global analysis of dailymean ocean-surface vector winds (1987 onward) by the Objectively Analyzed air-sea Fluxes (OAFlux) project. The time series was synthesized from multiple satellite sensors using a variational approach to find a best fit to input data in a weighted least-squares cost function. The variational framework requires the a priori specification of the weights, or equivalently, the error covariances of input data, which are seldom known. Two key issues were investigated. The first issue examined the specification of the weights for the OAFlux synthesis. This was achieved by designing a set of weight-varying experiments and applying the criteria requiring that the chosen weights should make the best-fit of the cost function be optimal with regard to both input satellite observations and the independent wind time series measurements at 126 buoy locations. The weights thus determined represent an approximation to the error covariances, which inevitably contain a degree of uncertainty. Hence, the second issue addressed the sensitivity of the OAFlux synthesis to the uncertainty in the weight assignments. Weight perturbation experiments were conducted and ensemble statistics were used to estimate the sensitivity. The study showed that the leading sources of uncertainty for the weight selection are high winds (>15 ms 21 ) and heavy rain, which are the conditions that cause divergence in wind retrievals from different sensors. Future technical advancement made in wind retrieval algorithms would be key to further improvement of the multisensory synthesis in events of severe storms.

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Insights on the OAFlux ocean surface vector wind analysis merged from scatterometers and passive microwave radiometers (1987 onward)

Cited by 22 publications

References 95 publications

Poleward Shift in Ventilation of the North Atlantic Subtropical Underwater

Poleward Shift in Ventilation of the North Atlantic Subtropical Underwater

Recent Wind-Driven Variability in Atlantic Water Mass Distribution and Meridional Overturning Circulation

Confidence and sensitivity study of the OAFlux multisensor synthesis of the global ocean surface vector wind from 1987 onward

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