2015
DOI: 10.5194/bg-12-3551-2015
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A 50 % increase in the mass of terrestrial particles delivered by the Mackenzie River into the Beaufort Sea (Canadian Arctic Ocean) over the last 10 years

Abstract: Abstract. Global warming has a significant impact on the regional scale on the Arctic Ocean and surrounding coastal zones (i.e., Alaska, Canada, Greenland, Norway and Russia). The recent increase in air temperature has resulted in increased precipitation along the drainage basins of Arctic rivers. It has also directly impacted land and seawater temperatures with the consequence of melting permafrost and sea ice. An increase in freshwater discharge by main Arctic rivers has been clearly identified in time serie… Show more

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Cited by 57 publications
(60 citation statements)
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“…2). Such a pattern observed for tDOC is also reported for terrigenous particulate organic matter (Doxaran et al, 2015). Further offshore on the Mackenzie Shelf, as delimited by the 300 m isobaths, both remotely sensed and simulated concentrations of tDOC were within the range of values measured in spring (∼ 110-230 mmol C m −3 ; Osburn et al, 2009) and summer (∼ 60-100 mmol C m −3 ; Para et al, 2013).…”
Section: Tdoc Concentrations and Distributionsupporting
confidence: 78%
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“…2). Such a pattern observed for tDOC is also reported for terrigenous particulate organic matter (Doxaran et al, 2015). Further offshore on the Mackenzie Shelf, as delimited by the 300 m isobaths, both remotely sensed and simulated concentrations of tDOC were within the range of values measured in spring (∼ 110-230 mmol C m −3 ; Osburn et al, 2009) and summer (∼ 60-100 mmol C m −3 ; Para et al, 2013).…”
Section: Tdoc Concentrations and Distributionsupporting
confidence: 78%
“…After geometric correction, remote sensing reflectance (Rrs(λ)) data at 412, 443, 488, 531, 555, and 667 nm were obtained by applying the atmospheric correction proposed by Wang and Shi (2007) with modifications adapted to Arctic environments (Doxaran et al, 2015;Matsuoka et al, 2016). tDOC concentrations were estimated from the a CDOM (443) data using an empirical relationship between DOC and a CDOM (443) established in the southern Beaufort Sea .…”
Section: Remote Sensing Datamentioning
confidence: 99%
“…The combination of several models adapted to each concentration range is the main reason for this result, together with the selection of the best-fitted models. As proved by other studies [35][36][37], the selection of a specific model combining different bands is an improvement when estimating the SPM concentration in coastal waters. Table 8 shows the in situ-satellite match-up results using different SPM models.…”
Section: Multi-conditional Spm Algorithmmentioning
confidence: 62%
“…Pixels with cloud albedo and AOD_865 larger than the thresholds will be masked. Although relaxation of these criteria was tested by Doxaran et al [68] with careful visual check of the produced results, operational implementation of the approach with quality assured products is impossible. Therefore, regional specific atmospheric correction schemes would be required to improve the accuracy of application of ocean color data over the Gulf region with relatively high loads of airborne dust.…”
Section: Potential Factors Causing Uncertainties Of the Algorithmmentioning
confidence: 99%