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			<titleStmt><title level='a'>Modeling Terrestrial Dissolved Organic Carbon Loading to Western Arctic Rivers</title></titleStmt>
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				<publisher></publisher>
				<date>10/01/2021</date>
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				<bibl> 
					<idno type="par_id">10343020</idno>
					<idno type="doi">10.1029/2021JG006420</idno>
					<title level='j'>Journal of Geophysical Research: Biogeosciences</title>
<idno>2169-8953</idno>
<biblScope unit="volume">126</biblScope>
<biblScope unit="issue">10</biblScope>					

					<author>Michael A. Rawlins</author><author>Craig T. Connolly</author><author>James W. McClelland</author>
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			<abstract><ab><![CDATA[and the relatively low flows during the cold season. Simulated annual totals for the four large basins examined agree well with observed runoff, and the seasonal cycles, based on monthly climatological runoff, are well simulated.Our simulated leachate DOC concentrations for Alaska's North Slope drainage areas show a distinct eastwest gradient owing to spatial variations in soil organic carbon content and watershed hydrology (Connolly et al., 2018). While basin averages for the Kuparuk are similar in magnitude to available observations, the simulated DOC concentrations for Kuparuk basin grids exceed the range in observations, suggesting that loading per unit of soil organic matter may be less sensitive than the model predicts. DOC yields for the Mackenzie and Yukon show reasonable agreement with annual and seasonal total loading for spring and winter, although overestimates do occur for summer loading for the Yukon. The modeling points to relatively equivalent loadings to watersheds draining north to the Beaufort Sea, and west into the Bering and Chukchi Seas. Overestimates relative to flux data derived from river measurements near the coast are expected, as processing within streams and rivers through biological degradation and photo-oxidation reduces, in effect, the total mass transported downstream in the DOC pool (Lauerwald et al., 2012;Cory et al., 2014). In a scenario where losses for the North Slope rivers average 10%-20% and the large rivers 15%-25%, estimates in this study become closely aligned with river export mass fluxes described in recent studies.Our modeling approach captures the spatial variability in DOC export, the characteristic seasonal variations in leachate DOC concentrations, and differences in concentrations of surface and subsurface runoff observed in field studies. Process modeling of the lateral transfer of carbon and other nutrients in Arctic rivers provide a contemporary baseline for future model refinements and related studies of the biogeochemistry of Arctic coastal waters.]]></ab></abstract>
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<div xmlns="http://www.tei-c.org/ns/1.0"><p>warming will likely result in shifts to greater riverine DOC exports from groundwater sources <ref type="bibr">(Walvoord &amp; Kurylyk, 2016)</ref>. Key calibration and validation data to assist model development include river chemistry and discharge measurements during the shoulder seasons <ref type="bibr">(Shogren et al., 2020)</ref> and observations of the quantity and quality of DOC in subsurface flow <ref type="bibr">(Neilson et al., 2018;</ref><ref type="bibr">Connolly et al., 2020)</ref>.</p></div>
<div xmlns="http://www.tei-c.org/ns/1.0"><head n="5.">Conclusions</head><p>This study investigates the loading of DOC to rivers of the western Arctic derived from process modeling that involves dynamics of terrestrial hydrology and DOC production and mobilization. Results suggest that simulated runoff reflects the characteristic pattern of high flow following snowmelt, subsequent recession, Northern AK region includes a small area just west of the Mackenzie delta that is not part of the 24 North Slope basins examined in Section 3.2 (Figure <ref type="figure">7</ref>). Each boxplot depicts the distribution of monthly total loading across each regions for the 30 months over years 1981-2010. Boxplot rectangles bracket the 25th and 75th percentiles. Whiskers extend to the 5th and 95th percentiles. Thick and thin horizontal lines mark the distribution mean and median respectively.</p></div></body>
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