2007
DOI: 10.3137/ao.450401
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The circulation and residence time of the strait of Georgia using a simple mixing‐box approach

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Cited by 116 publications
(164 citation statements)
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“…However, in the 314 deep Strait of Georgia in the winter, the increase in DOC in the winter is accompanied by 315 a decrease in O 2 . Since the deep water of the Strait is renewed only a few times a year, in 316 the late spring and late summer (Masson, 2002;Pawlowicz et al, 2007), it becomes 317 stagnant in the winter, and oxidation of organic matter uses up oxygen. For DOC to be 318 produced at the same time, it must be derived from the breakdown of POC.…”
Section: Inventories and Fluxes 191mentioning
confidence: 99%
“…However, in the 314 deep Strait of Georgia in the winter, the increase in DOC in the winter is accompanied by 315 a decrease in O 2 . Since the deep water of the Strait is renewed only a few times a year, in 316 the late spring and late summer (Masson, 2002;Pawlowicz et al, 2007), it becomes 317 stagnant in the winter, and oxidation of organic matter uses up oxygen. For DOC to be 318 produced at the same time, it must be derived from the breakdown of POC.…”
Section: Inventories and Fluxes 191mentioning
confidence: 99%
“…These same coastal and topographic features create long residence times, causing carbon to accumulate and making the strait DIC-rich relative to the open ocean ) despite a strong, seasonal DIC upwelling signal over the outer shelf (Bianucci et al, 2011). The large freshwater footprint, together with the abundance of previous circulation (e.g., LeBlond, 1983;Pawlowicz et al, 2007), ecology (e.g., Masson and Peña, 2009;Allen and Wolfe, 2013), and acidification studies (e.g., Moore-Maley et al, 2016;Ianson et al, 2016) make the strait an ideal system for investigating the response of pH and A to freshwater carbonate chemistry in a complicated estuarine setting.…”
Section: Study Areamentioning
confidence: 99%
“…The region of the Fraser plume is dominated by estuarine circulation and wind-mixing. The dynamics have been well studied (e.g., Pawlowicz et al, 2007), giving us the information to effectively parameterize higherdimensional processes with a one-dimensional (1-D) model (Collins et al, 2009;Allen and Wolfe, 2013). The benefits of a 1-D model are the quick run times that allow us to simulate many parameter variations over multiple annual cycles ( Moore-Maley et al, 2016).…”
Section: Overviewmentioning
confidence: 99%
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