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Journal articles on the topic 'Current variability'

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Published: 4 June 2021
Last updated: 1 February 2022

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1

Navarro-Pérez, E., and E. D. Barton. "Seasonal and interannual variability of the Canary Current." Scientia Marina 65, S1 (July 30, 2001): 205–13. http://dx.doi.org/10.3989/scimar.2001.65s1205.

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2

Van Aken, Hendrik M. "Mean currents and current variability in the iceland basin." Netherlands Journal of Sea Research 33, no. 2 (March 1995): 135–45. http://dx.doi.org/10.1016/0077-7579(95)90001-2.

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3

SCHOTT, F., and R. ZANTOPP. "Florida Current: Seasonal and Interannual Variability." Science 227, no. 4684 (January 18, 1985): 308–11. http://dx.doi.org/10.1126/science.227.4684.308.

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4

Emery, William J., Walter Zenk, Klaus Huber, Pierre Rual, and Paul Nowlan. "Trends in Atlantic equatorial current variability." Deutsche Hydrographische Zeitschrift 40, no. 6 (November 1987): 261–76. http://dx.doi.org/10.1007/bf02226280.

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5

Gudoshnikov, Yu P., A. V. Nesterov, V. A. Rozhkov, and E. A. Skutina. "Currents variability of the Kara sea." Arctic and Antarctic Research 64, no. 3 (September 30, 2018): 241–49. http://dx.doi.org/10.30758/0555-2648-2018-64-3-241-249.

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To study the water dynamics of the Kara Sea in the prospective areas of shelf development, the instrumental measurements of currents speeds were made at 6 submerged autonomous buoy stations with about a year duration for 5 of them and about half a year duration for 1.A spectral analysis of implementations of these measurements allowed to determine, that characteristic currents feature is a presence of annual, tidal and synoptical components of currents speeds variability. The contribution estimate of each of these components into the total process variance using the method of vector variance analysis was performed in the work.Estimates of currents speeds show almost the same character of variability at all submerged autonomous buoy stations by all parameters. It is appearing in the numerical values of main parameters of variability, profiles shape of their vertical distribution, evolution of these profiles in the annual course and in the correlations of summary current characteristic and its nonperiodical component. At all 6 submerged autonomous buoy stations along all depths, mean currents are directed to N-NNE-NE and values of mean scalar speed of summary current and maximum at upper horizons are changing within relatively small limits of 10,5–1,5 cm/s and 65–80 cm/s correspondingly. For vertical distribution, it is typical a decrease with a depth the values of speeds and their variability when the direction of mean transfer and relative proximity to it of maximum variability direction is preserved. The annual course is well-defined and becomes apparent in increase of current speeds and their variability in case of simultaneous strengthening of vertical contrast in spring and summer. The variability of nonperiodical current at all depths and corresponding vertical contrasts are weakened in comparison with summary current and ellipses shape of standard drviation is more elongate.
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6

Thomsen, M. F., J. E. Borovsky, D. J. McComas, and M. R. Collier. "Variability of the ring current source population." Geophysical Research Letters 25, no. 18 (September 15, 1998): 3481–84. http://dx.doi.org/10.1029/98gl02633.

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7

Garzoli, S. L., and A. L. Gordon. "Origins and variability of the Benguela Current." Journal of Geophysical Research: Oceans 101, no. C1 (January 15, 1996): 897–906. http://dx.doi.org/10.1029/95jc03221.

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8

Thomson, Richard E., and Daniel M. Ware. "A current velocity index of ocean variability." Journal of Geophysical Research: Oceans 101, no. C6 (June 15, 1996): 14297–310. http://dx.doi.org/10.1029/96jc01055.

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9

Anderson, D. L. T., D. J. Carrington, R. Corry, and C. Gordon. "Modeling the variability of the Somali Current." Journal of Marine Research 49, no. 4 (November 1, 1991): 659–96. http://dx.doi.org/10.1357/002224091784995693.

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10

Elkbuli, Adel, Brianna Dowd, Rudy Flores, Dessy Boneva, and Mark McKenney. "Variability in current trauma systems and outcomes." Journal of Emergencies, Trauma, and Shock 13, no. 3 (2020): 201. http://dx.doi.org/10.4103/jets.jets_49_19.

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11

Stys, A., and T. Stys. "Current clinical applications of heart rate variability." Clinical Cardiology 21, no. 10 (September 1998): 719–24. http://dx.doi.org/10.1002/clc.4960211005.

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12

Tretkoff, Ernie. "Multidecadal variability of the North Brazil Current." Eos, Transactions American Geophysical Union 92, no. 23 (June 7, 2011): 200. http://dx.doi.org/10.1029/2011eo230016.

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13

Fofonoff, N. P., and R. M. Hendry. "Current Variability near the Southeast Newfoundland Ridge." Journal of Physical Oceanography 15, no. 7 (July 1985): 963–84. http://dx.doi.org/10.1175/1520-0485(1985)015<0963:cvntsn>2.0.co;2.

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14

Zurita, Marcos E. P. V., Loick Le Guevel, Gerard Billiot, Adrien Morel, Xavier Jehl, Aloysius G. M. Jansen, and Gael Pillonnet. "Cryogenic Current Steering DAC With Mitigated Variability." IEEE Solid-State Circuits Letters 3 (2020): 254–57. http://dx.doi.org/10.1109/lssc.2020.3013443.

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15

Chiswell, Stephen M. "Variability in the Southland Current, New Zealand." New Zealand Journal of Marine and Freshwater Research 30, no. 1 (March 1996): 1–17. http://dx.doi.org/10.1080/00288330.1996.9516693.

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16

Donohue, K. A., D. R. Watts, P. Hamilton, R. Leben, M. Kennelly, and A. Lugo-Fernández. "Gulf of Mexico Loop Current path variability." Dynamics of Atmospheres and Oceans 76 (December 2016): 174–94. http://dx.doi.org/10.1016/j.dynatmoce.2015.12.003.

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17

Deutsch, Curtis, Hartmut Frenzel, James C. McWilliams, Lionel Renault, Faycal Kessouri, Evan Howard, Jun-Hong Liang, Daniele Bianchi, and Simon Yang. "Biogeochemical variability in the California Current System." Progress in Oceanography 196 (August 2021): 102565. http://dx.doi.org/10.1016/j.pocean.2021.102565.

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18

Patel, Khushbu, Joe M. El-Khoury, Aasne K. Aarsand, Tony Badrick, Graham R. D. Jones, Ken Sikaris, and M. Laura Parnas. "Current Utility and Reliability of Biological Variability." Clinical Chemistry 67, no. 8 (May 16, 2021): 1050–55. http://dx.doi.org/10.1093/clinchem/hvab055.

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19

Otto, A. J., and J. B. Vander Sande. "Local critical current variability and bulk critical current in long superconductors." Physica C: Superconductivity 159, no. 4 (January 1989): 357–66. http://dx.doi.org/10.1016/s0921-4534(89)80004-8.

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20

Aliani, Stefano, and Roberto Meloni. "Dispersal strategies of benthic species and water current variability in the Corsica Channel (Western Mediterranean)." Scientia Marina 63, no. 2 (June 30, 1999): 137–45. http://dx.doi.org/10.3989/scimar.1999.63n2137.

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21

Mildner, Tanja C., Carsten Eden, and Lars Czeschel. "Revisiting the relationship between Loop Current rings and Florida Current transport variability." Journal of Geophysical Research: Oceans 118, no. 12 (December 2013): 6648–57. http://dx.doi.org/10.1002/2013jc009109.

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22

LIU, Bo, Bo YANG, and Shigetoshi NAKATAKE. "Layout-Aware Variability Characterization of CMOS Current Sources." IEICE Transactions on Electronics E95-C, no. 4 (2012): 696–705. http://dx.doi.org/10.1587/transele.e95.c.696.

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23

Mathiot, P., H. Goosse, T. Fichefet, B. Barnier, and H. Gallée. "Modelling the variability of the Antarctic Slope Current." Ocean Science Discussions 8, no. 1 (January 11, 2011): 1–38. http://dx.doi.org/10.5194/osd-8-1-2011.

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Abstract. One of the main features of the oceanic circulation along Antarctica is the Antarctic Slope Current (ASC). This circumpolar current flows westward and allows communication between the three major basins around Antarctica. The ASC is not very well known due to difficult access and the presence of sea ice during several months, allowing in situ study only during summertime. Moreover, only few numerical studies of this current have been carried out. Here, we investigate the sensitivity of this current to two different atmospheric forcing sets and to four different resolutions in a coupled ocean-sea ice model (NEMO-LIM). Two sets of simulation are conducted. For the first set, global model configurations are run at coarse (2°) to eddy permitting resolutions (0.25°) with the same atmospheric forcing. For the second set, simulations with two different atmospheric forcing sets are performed with a regional circumpolar configuration (south of 30° S) at 0.5° resolution. The first atmospheric forcing set is based on ERA40 reanalysis and CORE data, while the second one is based on a downscaling of the reanalysis ERA40 by the MAR regional atmospheric model. Sensitivity experiments to resolution show that a minimum model resolution of 0.5° is needed to capture the dynamics of the ASC in term of transport and recirculation. Sensitivity of the ASC to atmospheric forcing fields shows that the wind speed along the Antarctic coast strongly controls the transport and the seasonal cycle of the ASC. An increase of the Easterlies by about 30% leads to an increase of the mean transport of ASC by about 40%. Similar effects are obtained on the seasonal cycle: using a forcing fields with a stronger amplitude of the seasonal cycle leads to double the amplitude of the seasonal cycle of the ASC. To confirm the importance of the wind speed, a simulation, where the seasonal cycle of the wind speed is removed, is carried out. This simulation shows a decrease by more than 50% of the amplitude of the seasonal cycle without changing the mean value of ASC transport.
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24

Zolina, O. G., and O. N. Bulygina. "CURRENT CLIMATIC VARIABILITY OF EXTREME PRECIPITATION IN RUSSIA." Fundamental and Applied Climatology 1 (2016): 84–103. http://dx.doi.org/10.21513/2410-8758-2016-1-84-103.

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25

Sicre, M. A., K. Weckström, M. S. Seidenkrantz, A. Kuijpers, M. Benetti, G. Masse, U. Ezat, et al. "Labrador current variability over the last 2000 years." Earth and Planetary Science Letters 400 (August 2014): 26–32. http://dx.doi.org/10.1016/j.epsl.2014.05.016.

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26

Luther, Mark E. "Interannual variability in the Somali Current 1954–1976." Nonlinear Analysis: Theory, Methods & Applications 35, no. 1 (January 1999): 59–83. http://dx.doi.org/10.1016/s0362-546x(98)00098-4.

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27

Hassan, H., M. Anis, and M. Elmasry. "MOS current mode circuits: analysis, design, and variability." IEEE Transactions on Very Large Scale Integration (VLSI) Systems 13, no. 8 (August 2005): 885–98. http://dx.doi.org/10.1109/tvlsi.2005.853609.

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28

Bartha, Agnes I., Jessica Shen, Karol H. Katz, Rebecca E. Mischel, Katherine R. Yap, Judith A. Ivacko, Ena M. Andrews, Donna M. Ferriero, Laura R. Ment, and Faye S. Silverstein. "Neonatal Seizures: Multicenter Variability in Current Treatment Practices." Pediatric Neurology 37, no. 2 (August 2007): 85–90. http://dx.doi.org/10.1016/j.pediatrneurol.2007.04.003.

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29

Boebel, Olaf, Tom Rossby, Johann Lutjeharms, Walter Zenk, and Charlie Barron. "Path and variability of the Agulhas Return Current." Deep Sea Research Part II: Topical Studies in Oceanography 50, no. 1 (January 2003): 35–56. http://dx.doi.org/10.1016/s0967-0645(02)00377-6.

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30

Webster, Ian, and Savithri Narayanan. "Low-frequency current variability on the Labrador Shelf." Journal of Geophysical Research 93, no. C7 (1988): 8163. http://dx.doi.org/10.1029/jc093ic07p08163.

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31

Pickart, Robert S., and D. Randolph Watts. "Deep Western Boundary Current variability at Cape Hatteras." Journal of Marine Research 48, no. 4 (November 1, 1990): 765–91. http://dx.doi.org/10.1357/002224090784988674.

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32

Bacon, Sheldon, Abigail Marshall, N. Penny Holliday, Yevgeny Aksenov, and Stephen R. Dye. "Seasonal variability of the East Greenland Coastal Current." Journal of Geophysical Research: Oceans 119, no. 6 (June 2014): 3967–87. http://dx.doi.org/10.1002/2013jc009279.

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33

Devineni, Naresh, Upmanu Lall, Elius Etienne, Daniel Shi, and Chen Xi. "America's water risk: Current demand and climate variability." Geophysical Research Letters 42, no. 7 (April 9, 2015): 2285–93. http://dx.doi.org/10.1002/2015gl063487.

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34

Sulangi, Miguel Antonio, T. A. Weingartner, N. Pokhrel, E. Patrick, M. Law, and P. J. Hirschfeld. "Disorder and critical current variability in Josephson junctions." Journal of Applied Physics 127, no. 3 (January 21, 2020): 033901. http://dx.doi.org/10.1063/1.5125765.

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35

Ferreiro, José, and Dominick J. Angiolillo. "Clopidogrel response variability: Current status and future directions." Thrombosis and Haemostasis 102, no. 07 (2009): 07–14. http://dx.doi.org/10.1160/th09-03-0185.

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36

Weisse, Ralf, Uwe Mikolajewicz, Andreas Sterl, and Sybren S. Drijfhout. "Stochastically forced variability in the Antarctic Circumpolar Current." Journal of Geophysical Research: Oceans 104, no. C5 (May 15, 1999): 11049–64. http://dx.doi.org/10.1029/1999jc900040.

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37

Kashino, Yuji, Akio Ishida, and Yoshifumi Kuroda. "Variability of the Mindanao Current: Mooring observation results." Geophysical Research Letters 32, no. 18 (September 28, 2005): n/a. http://dx.doi.org/10.1029/2005gl023880.

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38

deCastro, M., M. Gómez-Gesteira, I. Álvarez, and A. J. C. Crespo. "Atmospheric modes influence on Iberian Poleward Current variability." Continental Shelf Research 31, no. 5 (April 2011): 425–32. http://dx.doi.org/10.1016/j.csr.2010.03.004.

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39

Jian, Lan, Xu Long, and Guo Peifang. "Seasonal variability in the Kuroshio extension current system." Journal of Ocean University of Qingdao 2, no. 2 (October 2003): 129–33. http://dx.doi.org/10.1007/s11802-003-0040-1.

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40

Johns, William E., David M. Fratantoni, and Rainer J. Zantopp. "Deep western boundary current variability off northeastern Brazil." Deep Sea Research Part I: Oceanographic Research Papers 40, no. 2 (February 1993): 293–310. http://dx.doi.org/10.1016/0967-0637(93)90005-n.

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41

Ravi, Ramya, V. Balasubramaniam, Gowthamarajan Kuppusamy, and Sivasankaran Ponnusankar. "Current concepts and clinical importance of glycemic variability." Diabetes & Metabolic Syndrome: Clinical Research & Reviews 15, no. 2 (March 2021): 627–36. http://dx.doi.org/10.1016/j.dsx.2021.03.004.

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42

Androulidakis, Yannis, Vassiliki Kourafalou, Maria Josefina Olascoaga, Francisco Javier Beron-Vera, Matthieu Le Hénaff, Heesook Kang, and Nektaria Ntaganou. "Impact of Caribbean Anticyclones on Loop Current variability." Ocean Dynamics 71, no. 9 (August 11, 2021): 935–56. http://dx.doi.org/10.1007/s10236-021-01474-9.

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43

Solanki, Sami K. "Solar irradiance variability." Proceedings of the International Astronomical Union 2, no. 14 (August 2006): 279. http://dx.doi.org/10.1017/s1743921307010587.

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44

Ladenbauer, Josef, Moritz Augustin, and Klaus Obermayer. "How adaptation currents change threshold, gain, and variability of neuronal spiking." Journal of Neurophysiology 111, no. 5 (March 1, 2014): 939–53. http://dx.doi.org/10.1152/jn.00586.2013.

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Many types of neurons exhibit spike rate adaptation, mediated by intrinsic slow K+ currents, which effectively inhibit neuronal responses. How these adaptation currents change the relationship between in vivo like fluctuating synaptic input, spike rate output, and the spike train statistics, however, is not well understood. In this computational study we show that an adaptation current that primarily depends on the subthreshold membrane voltage changes the neuronal input-output relationship (I-O curve) subtractively, thereby increasing the response threshold, and decreases its slope (response gain) for low spike rates. A spike-dependent adaptation current alters the I-O curve divisively, thus reducing the response gain. Both types of an adaptation current naturally increase the mean interspike interval (ISI), but they can affect ISI variability in opposite ways. A subthreshold current always causes an increase of variability while a spike-triggered current decreases high variability caused by fluctuation-dominated inputs and increases low variability when the average input is large. The effects on I-O curves match those caused by synaptic inhibition in networks with asynchronous irregular activity, for which we find subtractive and divisive changes caused by external and recurrent inhibition, respectively. Synaptic inhibition, however, always increases the ISI variability. We analytically derive expressions for the I-O curve and ISI variability, which demonstrate the robustness of our results. Furthermore, we show how the biophysical parameters of slow K+ conductances contribute to the two different types of an adaptation current and find that Ca2+-activated K+ currents are effectively captured by a simple spike-dependent description, while muscarine-sensitive or Na+-activated K+ currents show a dominant subthreshold component.
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45

Flexas, M. M., G. J. F. van Heijst, and R. R. Trieling. "The Behavior of Jet Currents over a Continental Slope Topography with a Possible Application to the Northern Current." Journal of Physical Oceanography 35, no. 5 (May 1, 2005): 790–810. http://dx.doi.org/10.1175/jpo2705.1.

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Abstract The Northern Current is a slope current in the northwest Mediterranean that shows high mesoscale variability, generally associated with meander and eddy formation. A barotropic laboratory model of this current is used here to study the role of the bottom topography on the current variability. For this purpose, a source–sink setup in a cylindrical tank placed on a rotating table is used to generate an axisymmetric barotropic current. To study inviscid topographic effects, experiments are performed over a topographic slope and also over a constant-depth setup, the latter being used as a reference for the former. With the aim of obtaining a fully comprehensive view of the vorticity balance at play, the flow may be forced in either azimuthal direction, leading to a “westward” prograde current (similar to the Northern Current) or an “eastward” retrograde current. For slow flows, eastward and westward currents showed similar patterns, dominated by Kelvin–Helmholtz-type instabilities. For high-speed flows, eastward and westward currents showed very different behavior. In eastward currents, the variability is observed to concentrate toward the center of the jet and shows strong meandering formation. Westward currents, instead, showed major variability toward the edges of the jet, together with a strong variability over the uppermost slope, which has been associated here with a topographic Rossby wave trapped over the shelf break. The differences between eastward and westward jets are explained through the balance between shear-induced and topographically induced vorticity at play in each case. Moreover, a model of jets over a beta plane is successfully applied here, allowing its extension to any ambient potential vorticity gradient caused either by latitudinal or bottom depth changes.
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46

Picco, P., A. Cappelletti, S. Sparnocchia, M. E. Schiano, S. Pensieri, and R. Bozzano. "Upper layer current variability in the Central Ligurian Sea." Ocean Science Discussions 7, no. 2 (March 9, 2010): 445–75. http://dx.doi.org/10.5194/osd-7-445-2010.

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Abstract. Long-time series of surface currents and meteorological parameters were analysed to estimate the variability of the upper layer circulation as a preliminary study of the Ligurian Air-Sea Interaction Experiment (LASIE07). Current meter data were collected by an upward-looking RDI Sentinel 300 kHz ADCP deployed in the Central Ligurian Sea (43°47.77' N; 9°02.85' E) near the meteo-oceanographic buoy ODAS ITALIA1 for over eight months. The ADCP sampled the upper 50 m of water column at 8 m vertical resolution and 1 h time interval; surface marine and atmospheric hourly data were provided by the buoy. Currents were mainly barotropic and directed NW, according to the general circulation of the area, had a mean velocity of about 18 cm s−1 and hourly mean peaks up to 80 m s−1. Most of the observed variability in the upper thermocline was determined by inertial currents and mesoscale activity due to the presence of the Ligurian Front. Local wind had a minor role in the near-surface circulation but induced internal waves propagating downward in the water column.
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47

Yang, Ya, Xiang Li, Jing Wang, and Dongliang Yuan. "Seasonal Variability and Dynamics of the Pacific North Equatorial Subsurface Current." Journal of Physical Oceanography 50, no. 9 (September 1, 2020): 2457–74. http://dx.doi.org/10.1175/jpo-d-19-0261.1.

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AbstractThe North Equatorial Subsurface Current (NESC) is a subthermocline ocean current uncovered recently in the tropical Pacific Ocean, flowing westward below the North Equatorial Countercurrent. In this study, the dynamics of the seasonal cycle of this current are studied using historical shipboard acoustic Doppler current profiler measurements and Argo absolute geostrophic currents. Both data show a westward current at the depths of 200–1000 m between 4° and 6°N, with a typical core speed of about 5 and 2 cm s−1, respectively. The subsurface current originates in the eastern Pacific, with its core descending to deeper isopycnal surfaces and moving to the equator as it flows westward. The zonal velocity of the NESC shows pronounced seasonal variability, with the annual-cycle harmonics of vertical isothermal displacement and zonal velocity presenting characters of vertically propagating baroclinic Rossby waves. A simple analytical Rossby wave model is employed to simulate the propagation of the seasonal variations of the westward zonal currents successfully, which is the basis for exploring the wind forcing dynamics. The results suggest that the wind curl forcing in the central-eastern basin between 170° and 140°W associated with the meridional movement of the intertropical convergence zone dominates the NESC seasonal variability in the western Pacific, with the winds west of 170°W and east of 140°W playing a minor role in the forcing.
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48

Picco, P., A. Cappelletti, S. Sparnocchia, M. E. Schiano, S. Pensieri, and R. Bozzano. "Upper layer current variability in the Central Ligurian Sea." Ocean Science 6, no. 4 (October 1, 2010): 825–36. http://dx.doi.org/10.5194/os-6-825-2010.

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Abstract. Long-time series of surface currents and meteorological parameters were analysed to estimate the variability of the upper layer circulation and the response to the local winds. Current meter data were collected by an upward-looking RDI Sentinel 300 kHz ADCP deployed in the Central Ligurian Sea (43°47.77' N; 9°02.85' E) near the meteo-oceanographic buoy ODAS Italia 1 for more than eight months, from 13th of September 2003 to 24th of May 2004. The ADCP sampled the upper 50 m of water column at 8 m vertical resolution and 1 h time interval; surface marine and atmospheric hourly averaged data were provided by the buoy. Currents in the sampled layer were mainly barotropic, directed North-West in accordance with the general circulation of the area, and had a mean velocity of about 18 cm/s and hourly mean peaks up to 80 cm/s. Most of the observed variability in the upper thermocline was determined by inertial currents and mesoscale activity due to the presence of the Ligurian Front. Local wind had a minor role in the near-surface circulation but induced internal waves propagating downward in the water column.
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49

Mahrt, Larry. "Surface Wind Direction Variability." Journal of Applied Meteorology and Climatology 50, no. 1 (January 1, 2011): 144–52. http://dx.doi.org/10.1175/2010jamc2560.1.

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Abstract Common large shifts of wind direction in the weak-wind nocturnal boundary layer are poorly understood and are not adequately captured by numerical models and statistical parameterizations. The current study examines 15 datasets representing a variety of surface conditions to study the behavior of wind direction variability. In contrast to previous studies, the current investigation directly examines wind direction changes with emphasis on weak winds and wind direction changes over smaller time periods of minutes to tens of minutes, including large wind direction shifts. A formulation of the wind direction changes is offered that provides more realistic behavior for very weak winds and for complex terrain.
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50

Seung, Young Ho, Jong Jin Park, Young-Yeon Kwon, Sung-Joon Kim, Hong-Sun Kim, and Yong-Chul Park. "Some High-Frequency Variability of Currents Obtained by "GeoDrifters" in the Tsushima Current Region." Ocean and Polar Research 39, no. 3 (September 30, 2017): 169–79. http://dx.doi.org/10.4217/opr.2017.39.3.169.

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