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Friday, August 7, 2020 | History

1 edition of Initial statistical characterization of the variability of coastal winds and currents found in the catalog.

Initial statistical characterization of the variability of coastal winds and currents

Initial statistical characterization of the variability of coastal winds and currents

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  • 26 Currently reading

Published by U.S. Dept. of the Interior, Minerals Management Service, Pacific OCS Region in [California] .
Written in English

    Subjects:
  • Ocean circulation -- Pacific Coast (Calif.),
  • Ocean currents -- Pacific Coast (Calif.),
  • Winds -- Pacific Coast (Calif.)

  • Edition Notes

    Statementprepared for the U.S. Department of the Interior, Minerals Management Service, Pacific OCS Region, by Greenhorne & O"Mara, Incorporated ; Christopher D. Miller ... [et al.].
    SeriesOCS study
    ContributionsMiller, Christopher D., United States. Minerals Management Service. Pacific OCS Region., Greenhorne & O"Mara.
    The Physical Object
    Pagination2 v. :
    ID Numbers
    Open LibraryOL15175745M

    The Spatial and Temporal Variability of Nearshore Currents DavidJohnson,(Hons),MPhil wave2D from Center for Applied Coastal Research, University of Delaware. WIND WAVES TURBULENCE TIDES Wave breaking INTERACTION Length scale (m) 10 0 10 10 10 10 4 10 5 Wave shoaling and. When Ed reads a book in his home, he usually places the book on top of a pillow on his lap. For Ed, it is a more comfortable way to read. When Ed's son Ben was two years old, Ed watched him grab his favorite book, take a pillow, and position himself on the sofa just like Ed. There Ben sat, pillow on his lap, looking at his book just like dad.

    Unfortunately, this book can't be printed from the OpenBook. If you need to print pages from this book, we recommend downloading it as a PDF. Visit to get more information about this book, to buy it in print, or to download it as a free PDF. An empirical statistical model is developed that relates the non-tidal motion of the ocean surface currents off the Oregon coast to forecasts of the coastal winds. The empirical statistical model is then used to produce predictions of the surface currents that are evaluated for their agreement with measured by: 6.

      Site 1 is near the equator and in the northern Indian Ocean. At this location variability in the zonal velocity, within and across different seasons, is largely influenced by generation and propagation of long waves (Fu ; Iskandar and McPhaden ).The southern site 2 is located near the eastern edge of the thermocline ridge and the flow of currents here is more likely to be influenced Cited by: 4. The fate of COP seep field oil depends on currents (Davidson Current, longshore current, nearshore countercirculation eddies, and wind-driven surface currents) and winds. Data from West Campus Station, ~1 km inshore of COP (see Figure 19 for location), show that typical overnight, near-coastal winds are weakly offshore—i.e., north by: 2.


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Initial statistical characterization of the variability of coastal winds and currents Download PDF EPUB FB2

An Initial statistical characterization of the variability of coastal winds and currents / ([California]: U.S. Dept. of the Interior, Minerals Management Service, Pacific OCS Region, []), by Christopher D Miller, Greenhorne & O'Mara, and United States.

Minerals Management Service. An Initial statistical characterization of the variability of coastal winds and currents: executive summary / prepared for the U.S.

Department of the Interior, Minerals Management Service, Pacific OCS Region by Greenhorne & O'Mara, Incorporated ; Christopher D. Miller. An Initial statistical characterization of the variability of coastal winds and currents / By Christopher D Miller, Greenhorne & O'Mara and United States.

Pacific OCS Region: An Initial statistical characterization of the variability of coastal winds and currents / ([California]: U.S. Dept. of the Interior, Minerals Management Service, Pacific OCS Region, []), also by Christopher D Miller and Greenhorne & O'Mara (page images at HathiTrust).

Statistical characteristics and the parameters of the temporal variability of currents are analysed using data on current measurements conducted by five moored autonomous buoy stations over Bulgaria's shelf. Estimates of the specific contribution to the variability of synoptic (60%) and mesoscale (40%) oscillations are derived.

The qualitative spectrum of the currents is defined, constituted Cited by: 5. Statistical Characterization of Ocean Vector Winds providing an unprecedented view of wind variability, winds from 70 non-coastal buoys from the Pacific Ocean were selected for comparison.

Intra-seasonal variability of the coastal currents around India: A review of the evidences from new observations annually reversing monsoon winds the major currents in the Indian Ocean also undergo variations on semi- takes such a well developed character covering the entire Size: KB.

The results of statistical analysis show that in some cases the synoptic currents in the surface layer of the sea are signs of wind drift currents. This is indicated by the high correlation between the tangential friction of wind and currents, as well as the reversal of the depth of current vectors and the major axes of the ellipses of the mean-square deviation of the Ekman by: 1.

Sea level variations impact coastal communities, making them a subject of great societal importance. Climate change induces long-term trends in global and regional sea level (e.g., Nicholls and Cazenave ; Kemp et al. ).Meanwhile, air–sea fluxes of buoyancy and momentum account for much of the nontidal variability on shorter time scales, ranging from hours to by: Wind driven ocean surface circulation is characterised by large ocean gyres.

They include the western boundary currents (e.g. Gulf Stream, Kuroshio), eastern boundary currents (e.g. Canary current), equatorial currents, wind-driven and tidal flows. Thermohaline circulation is a.

Here we assess the wind-current transfer function, derived from observations of coastal surface currents and surface winds off the U.S. West Coast (32°N to 47°N), as a function of the latitude. Wind-Driven Sea Level Variability on the California Coast: An Adjoint Sensitivity Analysis ARIANE VERDY,MATTHEW R.

MAZLOFF, AND BRUCE D. CORNUELLE Scripps Institution of Oceanography, University of California, San Diego, La Jolla, California While local winds affect coastal. This banner text can have markup. web; books; video; audio; software; images; Toggle navigation.

It has been known for some time that upper-ocean currents in the EqIO have substantial intraseasonal variability. For example, the weekly current data at Gan has u variability at a 30–day period, and some evidence of submonthly en () suggests that the 30–day variability is wind forced, because it is coherent with the variability of the zonal wind by: QuikSCAT Coastal Wind Products Bryan Stiles (Jet Propulsion Laboratory), Alex G.

Fore, P. Ted Strub, and Corinne James; Coastal QuikSCAT Winds over Eastern Boundary Currents Ted Strub (Oregon State University), Corinne James (CEOAS), Bryan Stiles (JPL) and Alexander Fore (JPL) Drivers of SST frontal variability in the California Current System.

Coastal winds driven by the pressure gradient between these two systems are generally equatorward and upwelling‐favorable along the entire coastline [Halliwell and Allen, ; Dorman and Winant, ]. Propagating storms are diverted to the north where they force more variable winds across the Pacific Northwest [Dorman and Winant, ].Cited by: JOURNAL OF Journal of Wind Engineering [email protected]~%~i~ and Industrial Aerodynamics 73 () ELSEVIER Analysis of wind speed observations on the North Sea coast J.P.

Coelingha'l"*, A.J.M. van Wijka'l, A.A.M. Holtslagb'2 "Department of Science, Technology and SocieO', Utrecht UniversiO', Padual CH Utrecht, The Netherlands U Royal Netherlands Cited by: and long-term variability on the example the Indian Ocean (IO).

In a previous paper [3] it was carried out a comprehensive analysis of variability of the wind field in the IO area for the period yy; and the certain systematic approach to complex statistical.

the Channel with a detailed analysis of the currents obtained from a primitive-equation model that includes the Gulf and the entire Caribbean Sea and forced by 6-hourly wind from ECMWF.

The analysis includes two parts: First, the overall statistics of the model results, including the Loop Current (LC) variability, the frequency of LC eddy. Characterization and Variability of the Coastal Ocean: Composition and Bio-Optical Properties II (2) Characterization and Variability of the Coastal Ocean: Processes, Interactions, and Modeling (7) Posters Session (8).

Wind- and Density-Driven Water Circulation 31 1. Introduction One of the first problems one has to deal with when applying a numerical model to an analysis of hydrodynamic processes in a real water basin is the choice of spatial and time resolution of the model.

The choice is usually a compromise between available.The tropical ocean current systems along the western boundary of our domains of interest in Figure are relatively simple, resembling the zonal currents in the middle of the tropical oceans (reviewed in detail in Chapter 15).In contrast, circulation patterns in the far eastern tropics are more complex, due to the seasonally migrating Trade Winds and Intertropical Convergence Zone (ITCZ Cited by:   1.

Introduction [2] The northeastern (NE) Pacific tropical‐subtropical transition zone, located at 16°N–30°N and °W–°W (), is the region of confluence of two large oceanic currents: the equatorward California Current, which carries relatively cold and dense water of subarctic origin, and the near‐surface poleward Mexican Coastal Current, which brings relatively warm and light Cited by: