Books on the topic 'Wind driven ocean circulation'

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1

(Firm), Knovel, ed. Ocean circulation: Wind-driven and thermohaline processes. Cambridge: Cambridge University Press, 2010.

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2

Jensen, Tommy G. Barotropic models of the wind-driven large scale ocean circulation. Copenhagen: Københavns universitet, Geofysisk institut, afdeling for fysisk oceanografi, 1986.

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3

Primeau, François W. Multiple equilibria and low-frequency variability of wind-driven ocean models. Woods Hole, Mass: Massachusetts Institute of Technology, Woods Hole Oceanographic Institution, Joint Program in Oceanography/Applied Ocean Science and Engineering, 1998.

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4

Nelkien, Haim. Thermally driven circulation. Woods Hole, Mass: Woods Hole Oceanographic Institution, 1987.

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5

Austin, Jay Alan. Wind-driven circulation on a shallow, stratified shelf. Woods Hole, Mass: Massachusetts Institute of Technology, Woods Hole Oceanographic Institution, Joint Program in Oceanography/Applied Ocean Science and Engineering, 1998.

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6

Austin, Jay Alan. Wind-driven circulation on a shallow, stratified shelf. Woods Hole, Mass: Massachusetts Institute of Technology, Woods Hole Oceanographic Institution, Joint Program in Oceanography/Applied Ocean Science and Engineering, 1998.

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7

Chassignet, Eric P. Buoyancy-driven flows. Cambridge: Cambridge University Press, 2012.

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8

Safronov, G. F. Vozbuzhdenie dlinnykh voln v okeane krupnomasshtabnymi izmenenii͡a︡mi v pole kasatelʹnogo napri͡a︡zhenii͡a︡ vetra. Moskva: Moskovskoe otd-nie Gidrometeoizdata, 1985.

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9

Walker, Nan D. Wind and eddy-related circulation on the Louisiana/Texas shelf and slope determined from satellite and in-situ measurements: October 1993-August 1994. [New Orleans, La.]: U.S. Dept. of the Interior, Minerals Management Service, Gulf of Mexico OCS Region, 2001.

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10

Walker, Nan D. Wind and eddy-related circulation on the Louisiana/Texas shelf and slope determined from satellite and in-situ measurements: October 1993-August 1994. New Orleans: US Department of the Interior, Minerals Management Service, 2001.

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11

Walker, Nan D. Wind and eddy-related circulation on the Louisiana/Texas shelf and slope determined from satellite and in-situ measurements: October 1993-August 1994. [New Orleans, La.]: U.S. Dept. of the Interior, Minerals Management Service, Gulf of Mexico OCS Region, 2001.

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12

Fong, Derek Allen. Dynamics of freshwater plumes: Observations and numerical modeling of the wind-forced response and alongshore freshwater transport. Woods Hole, Mass: Massachusetts Institute of Technology, Woods Hole Oceanographic Institution, Joint Program in Oceanography/Applied Ocean Science and Engineering, 1998.

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13

Fox-Kemper, Baylor. Eddies and friction: Removal of vorticity from the wind-driven gyre. Cambridge, Mass: Massachusetts Institute of Technology, 2003.

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14

Weddle, Charles A. The effect of westerly wind bursts on a tropical ocean general circulation model. Monterey, Calif: Naval Postgraduate School, 1993.

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15

Kuo, Yu-Heng. Errors caused by incompatible wind and buoyancy forcing in the ocean general circulation models. Monterey, Calif: Naval Postgraduate School, 1992.

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16

Brink, Ken. Programs for computing properties of coastal-trapped waves and wind-driven motions over the continental shelf and slope. Woods Hole (Mass.): Woods Hole Oceanographic Institution, 1985.

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17

Brink, Ken. Programs for computing properties of coastal-trapped waves and wind-driven motions over the continental shelf and slope. 2nd ed. Woods Hole (Mass.): Woods Hole Oceanographic Institution, 1987.

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18

Hosom, David S. A self-contained wind speed, direction and location system for buoys and ships in the World Ocean Circulation Experiment. Woods Hole, Mass: Woods Hole Oceanographic Institution, 1994.

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19

Hosom, David S. A self-contained wind speed, direction and location system for buoys and ships in the World Ocean Circulation Experiment. Woods Hole, Mass: Woods Hole Oceanographic Institution, 1994.

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20

Smith, Robert L. Coastal ocean processes: Wind-driven transport processes on the U.S. west coast : Portland, Oregon, Workshop July 14-16, 1993. [Woods Hole, Mass: Woods Hole Oceanographic Institution, 1994.

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21

Austin, Jay Alan. Small-boat hydrographic surveys of the Oregon mid- to inner shelf: May-September 1999 : a component of the Prediction of Wind-Driven Coastal Circulation Project. Corvallis, Or: Oregon State University, College of Oceanic and Atmospheric Sciences, 2000.

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22

Austin, Jay Alan. Small-boat hydrographic surveys of the Oregon mid- to inner shelf: May-September 1999 : a component of the Prediction of Wind-Driven Coastal Circulation Project. Corvallis, Or: Oregon State University, College of Oceanic and Atmospheric Sciences, 2000.

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23

Huang, Rui Xin. Ocean Circulation: Wind-Driven and Thermohaline Processes. Cambridge University Press, 2009.

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24

Huang, Rui Xin. Ocean Circulation: Wind-Driven and Thermohaline Processes. Cambridge University Press, 2009.

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25

Huang, Rui Xin. Ocean Circulation: Wind-Driven and Thermohaline Processes. Cambridge University Press, 2012.

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26

Huang, Rui Xin. Ocean Circulation: Wind-Driven and Thermohaline Processes. Cambridge University Press, 2010.

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27

Dunlop, Storm. 2. The circulation of the atmosphere. Oxford University Press, 2017. http://dx.doi.org/10.1093/actrade/9780199571314.003.0002.

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‘The circulation of the atmosphere’ outlines the general model of the movement of air around the Earth. There are three circulation cells either side of the equator: the Hadley cell (nearest to the equator) and the polar cell, driven by specific temperature and pressure gradients, and the Ferrel cell between them. It describes global pressure patterns and the Coriolis effect, which results in south-westerly trade winds in the northern hemisphere and north-westerly trade winds in the southern. Also described are the Intertropical Convergence Zone, the polar easterlies, the westerlies, and how air moves around high- and low-pressure regions. The action of the surface winds also produces the various ocean currents.
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28

University of Maryland. Center for Environmental Science., ed. Coastal ocean processes (CoOP): Wind-driven transport science plan. Cambridge, Md: University of Maryland Center for Environmental Science, 1998.

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29

Mestas-Nuñez, Alberto M. The large-scale wind-forced response of the Pacific. 1996.

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30

Mestas-Nuñez, Alberto M. The large-scale wind-forced response of the Pacific. 1996.

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31

Wind and eddy-related circulation on the Louisiana/Texas shelf and slope determined from satellite and in-situ measurements: October 1993-August 1994. [New Orleans, La.]: U.S. Dept. of the Interior, Minerals Management Service, Gulf of Mexico OCS Region, 2001.

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32

Wind and eddy-related circulation on the Louisiana/Texas shelf and slope determined from satellite and in-situ measurements: October 1993-August 1994. [New Orleans, La.]: U.S. Dept. of the Interior, Minerals Management Service, Gulf of Mexico OCS Region, 2001.

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33

Louisiana State University (Baton Rouge, La.). Coastal Studies Institute, Coastal Marine Institute (Baton Rouge, La.), and United States. Minerals Management Service. Gulf of Mexico OCS Region, eds. Wind and eddy-related circulation on the Louisiana/Texas shelf and slope determined from satellite and in-situ measurements: October 1993-August 1994. [New Orleans, La.]: U.S. Dept. of the Interior, Minerals Management Service, Gulf of Mexico OCS Region, 2001.

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34

Louisiana State University (Baton Rouge, La.). Coastal Studies Institute, Coastal Marine Institute (Baton Rouge, La.), and United States. Minerals Management Service. Gulf of Mexico OCS Region, eds. Wind and eddy-related circulation on the Louisiana/Texas shelf and slope determined from satellite and in-situ measurements: October 1993-August 1994. [New Orleans, La.]: U.S. Dept. of the Interior, Minerals Management Service, Gulf of Mexico OCS Region, 2001.

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35

Louisiana State University (Baton Rouge, La.). Coastal Studies Institute., Coastal Marine Institute (Baton Rouge, La.), and United States. Minerals Management Service. Gulf of Mexico OCS Region., eds. Wind and eddy-related circulation on the Louisiana/Texas shelf and slope determined from satellite and in-situ measurements: October 1993-August 1994. [New Orleans, La.]: U.S. Dept. of the Interior, Minerals Management Service, Gulf of Mexico OCS Region, 2001.

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36

Goswami, B. N., and Soumi Chakravorty. Dynamics of the Indian Summer Monsoon Climate. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228620.013.613.

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Lifeline for about one-sixth of the world’s population in the subcontinent, the Indian summer monsoon (ISM) is an integral part of the annual cycle of the winds (reversal of winds with seasons), coupled with a strong annual cycle of precipitation (wet summer and dry winter). For over a century, high socioeconomic impacts of ISM rainfall (ISMR) in the region have driven scientists to attempt to predict the year-to-year variations of ISM rainfall. A remarkably stable phenomenon, making its appearance every year without fail, the ISM climate exhibits a rather small year-to-year variation (the standard deviation of the seasonal mean being 10% of the long-term mean), but it has proven to be an extremely challenging system to predict. Even the most skillful, sophisticated models are barely useful with skill significantly below the potential limit on predictability. Understanding what drives the mean ISM climate and its variability on different timescales is, therefore, critical to advancing skills in predicting the monsoon. A conceptual ISM model helps explain what maintains not only the mean ISM but also its variability on interannual and longer timescales.The annual ISM precipitation cycle can be described as a manifestation of the seasonal migration of the intertropical convergence zone (ITCZ) or the zonally oriented cloud (rain) band characterized by a sudden “onset.” The other important feature of ISM is the deep overturning meridional (regional Hadley circulation) that is associated with it, driven primarily by the latent heat release associated with the ISM (ITCZ) precipitation. The dynamics of the monsoon climate, therefore, is an extension of the dynamics of the ITCZ. The classical land–sea surface temperature gradient model of ISM may explain the seasonal reversal of the surface winds, but it fails to explain the onset and the deep vertical structure of the ISM circulation. While the surface temperature over land cools after the onset, reversing the north–south surface temperature gradient and making it inadequate to sustain the monsoon after onset, it is the tropospheric temperature gradient that becomes positive at the time of onset and remains strongly positive thereafter, maintaining the monsoon. The change in sign of the tropospheric temperature (TT) gradient is dynamically responsible for a symmetric instability, leading to the onset and subsequent northward progression of the ITCZ. The unified ISM model in terms of the TT gradient provides a platform to understand the drivers of ISM variability by identifying processes that affect TT in the north and the south and influence the gradient.The predictability of the seasonal mean ISM is limited by interactions of the annual cycle and higher frequency monsoon variability within the season. The monsoon intraseasonal oscillation (MISO) has a seminal role in influencing the seasonal mean and its interannual variability. While ISM climate on long timescales (e.g., multimillennium) largely follows the solar forcing, on shorter timescales the ISM variability is governed by the internal dynamics arising from ocean–atmosphere–land interactions, regional as well as remote, together with teleconnections with other climate modes. Also important is the role of anthropogenic forcing, such as the greenhouse gases and aerosols versus the natural multidecadal variability in the context of the recent six-decade long decreasing trend of ISM rainfall.
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37

Proctor, Ian. Sailing Strategy: Wind and Current. Bloomsbury Publishing Plc, 2010.

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38

Wind, wave, stress, and surface roughness relationships from turbulence measurements made on R/P Flip in the SCOPE experiment: A report for the DoD ASAP program, environmemntal sensing program element (P.ETL.2909). Boulder, Colo: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Environmental Technology Laboratory, 1996.

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39

Numerical investigation on wind induced interannual variability of the North Indian Ocean SST. Pune: [Indian Institute of Tropical Meteorology], 1999.

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40

Otis, David E. Verifying digital filter initialization in a 3-dimensional coastal ocean model. 1995.

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41

Mooring observations from the Oregon continental shelf: April-September 1999 : a component of the prediction of wind-driven coastal circulation project. Corvallis, OR: Oregon State University, College of Oceanic and Atmospheric Sciences, 2000.

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42

A, Barth John, and Oregon State University. College of Oceanic and Atmospheric Sciences., eds. SeaSoar CTD observations from the central Oregon shelf, cruise W9907C: 13-31 July 1999 : a component of the Prediction of Wind-Driven Coastal Circulation Project. Corvallis, Or: Oregon State University, College of Oceanic & Atmospheric Sciences, 2001.

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43

Jackson Hill, Diane, and Craig Smith. Windcatcher. CSIRO Publishing, 2019. http://dx.doi.org/10.1071/9781486309887.

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A short-tailed shearwater flies from the edge of the Southern Ocean to the rim of the Arctic Circle – and back – every year. This remarkable 30,000 kilometre journey is driven by seabird law. Instinct and community will guide her. A wingspan the size of a child’s outstretched arms will support her. But first, she must catch the wind … Based on birds that live on Griffiths Island, near Port Fairy, Victoria, Windcatcher is a tale of migration, conservation and survival that begins with one small bird called Hope. Written by award-winning children’s author Diane Jackson Hill and illustrated by Craig Smith, one of Australia’s most prolific and popular illustrators, Windcatcher explores the mysteries of seabird migration. For primary aged readers.
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44

Wang, Bin. Intraseasonal Modulation of the Indian Summer Monsoon. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190228620.013.616.

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The strongest Indian summer monsoon (ISM) on the planet features prolonged clustered spells of wet and dry conditions often lasting for two to three weeks, known as active and break monsoons. The active and break monsoons are attributed to a quasi-periodic intraseasonal oscillation (ISO), which is an extremely important form of the ISM variability bridging weather and climate variation. The ISO over India is part of the ISO in global tropics. The latter is one of the most important meteorological phenomena discovered during the 20th century (Madden & Julian, 1971, 1972). The extreme dry and wet events are regulated by the boreal summer ISO (BSISO). The BSISO over Indian monsoon region consists of northward propagating 30–60 day and westward propagating 10–20 day modes. The “clustering” of synoptic activity was separately modulated by both the 30–60 day and 10–20 day BSISO modes in approximately equal amounts. The clustering is particularly strong when the enhancement effect from both modes acts in concert. The northward propagation of BSISO is primarily originated from the easterly vertical shear (increasing easterly winds with height) of the monsoon flows, which by interacting with the BSISO convective system can generate boundary layer convergence to the north of the convective system that promotes its northward movement. The BSISO-ocean interaction through wind-evaporation feedback and cloud-radiation feedback can also contribute to the northward propagation of BSISO from the equator. The 10–20 day oscillation is primarily produced by convectively coupled Rossby waves modified by the monsoon mean flows. Using coupled general circulation models (GCMs) for ISO prediction is an important advance in subseasonal forecasts. The major modes of ISO over Indian monsoon region are potentially predictable up to 40–45 days as estimated by multiple GCM ensemble hindcast experiments. The current dynamical models’ prediction skills for the large initial amplitude cases are approximately 20–25 days, but the prediction of developing BSISO disturbance is much more difficult than the prediction of the mature BSISO disturbances. This article provides a synthesis of our current knowledge on the observed spatial and temporal structure of the ISO over India and the important physical processes through which the BSISO regulates the ISM active-break cycles and severe weather events. Our present capability and shortcomings in simulating and predicting the monsoon ISO and outstanding issues are also discussed.
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