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• W3094614841 abstract "Abstract Recent advances in remote sensing and the upcoming launch of the joint NASA/CNES/CSA/UKSA Surface Water and Ocean Topography (SWOT) satellite point toward improved river discharge estimates in ungauged basins. Existing discharge methods rely on “prior river knowledge” to infer parameters not directly measured from space. Here, we show that discharge estimation is improved by classifying and parameterizing rivers based on their unique geomorphology and hydraulics. Using over 370,000 in situ hydraulic observations as training data, we test unsupervised learning and an “expert” method to assign these hydraulics and geomorphology to rivers via remote sensing. This intervention, along with updates to model physics, constitutes a new method we term “geoBAM,” an update of the Bayesian At‐many‐stations hydraulic geometry‐Manning's (BAM) algorithm. We tested geoBAM on Landsat imagery over more than 7,500 rivers (108 are gauged) in Canada's Mackenzie River basin and on simulated hydraulic data for 19 rivers that mimic SWOT observations without measurement error. geoBAM yielded considerable improvement over BAM, improving the median Nash‐Sutcliffe efficiency (NSE) for the Mackenzie River from −0.05 to 0.26 and from 0.16 to 0.46 for the SWOT rivers. Further, NSE improved by at least 0.10 in 78/108 gauged Mackenzie rivers and 8/19 SWOT rivers. We attribute geoBAM improvement to parameterizing rivers by type rather than globally, but prediction accuracy worsens if parameters are misassigned. This method is easily mapped to rivers at the global scale and paves the way for improving future discharge estimates, especially when coupled with hydrologic models." @default.
• W3094614841 created "2020-10-29" @default.
• W3094614841 creator A5052980639 @default.
• W3094614841 creator A5070818166 @default.
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• W3094614841 date "2020-11-01" @default.
• W3094614841 modified "2023-10-17" @default.
• W3094614841 title "Constraining Remote River Discharge Estimation Using Reach‐Scale Geomorphology" @default.
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• W3094614841 cites W1873066041 @default.
• W3094614841 cites W1948837742 @default.
• W3094614841 cites W1964124653 @default.
• W3094614841 cites W1964461497 @default.
• W3094614841 cites W1980921479 @default.
• W3094614841 cites W1981549240 @default.
• W3094614841 cites W1983747486 @default.
• W3094614841 cites W1984952819 @default.
• W3094614841 cites W1986837469 @default.
• W3094614841 cites W1989673304 @default.
• W3094614841 cites W1993754709 @default.
• W3094614841 cites W1996046597 @default.
• W3094614841 cites W2000920439 @default.
• W3094614841 cites W2013576698 @default.
• W3094614841 cites W2023020665 @default.
• W3094614841 cites W2035159369 @default.
• W3094614841 cites W2037432545 @default.
• W3094614841 cites W2039163601 @default.
• W3094614841 cites W2048833558 @default.
• W3094614841 cites W2058923530 @default.
• W3094614841 cites W2063204990 @default.
• W3094614841 cites W2063453643 @default.
• W3094614841 cites W2067390833 @default.
• W3094614841 cites W2068410395 @default.
• W3094614841 cites W2071080899 @default.
• W3094614841 cites W2079797103 @default.
• W3094614841 cites W2096586519 @default.
• W3094614841 cites W2112145028 @default.
• W3094614841 cites W2116106385 @default.
• W3094614841 cites W2122517108 @default.
• W3094614841 cites W2138323726 @default.
• W3094614841 cites W2154112865 @default.
• W3094614841 cites W2156259061 @default.
• W3094614841 cites W2162964997 @default.
• W3094614841 cites W2171675471 @default.
• W3094614841 cites W2201606879 @default.
• W3094614841 cites W2213581356 @default.
• W3094614841 cites W2282001348 @default.
• W3094614841 cites W2295057365 @default.
• W3094614841 cites W2369661078 @default.
• W3094614841 cites W2521496262 @default.
• W3094614841 cites W2527802371 @default.
• W3094614841 cites W2586659723 @default.
• W3094614841 cites W2744799559 @default.
• W3094614841 cites W2745507153 @default.
• W3094614841 cites W2760890210 @default.
• W3094614841 cites W2766787966 @default.
• W3094614841 cites W2787894218 @default.
• W3094614841 cites W2791264291 @default.
• W3094614841 cites W2791383447 @default.
• W3094614841 cites W2792289423 @default.
• W3094614841 cites W2793777886 @default.
• W3094614841 cites W2795439660 @default.
• W3094614841 cites W2811310577 @default.
• W3094614841 cites W2884003746 @default.
• W3094614841 cites W2886595050 @default.
• W3094614841 cites W2889075676 @default.
• W3094614841 cites W2911117993 @default.
• W3094614841 cites W2913958611 @default.
• W3094614841 cites W2921231023 @default.
• W3094614841 cites W2944057425 @default.
• W3094614841 cites W2946882019 @default.
• W3094614841 cites W2954930155 @default.
• W3094614841 cites W2955998290 @default.
• W3094614841 cites W2963255299 @default.
• W3094614841 cites W2966885564 @default.
• W3094614841 cites W2969878846 @default.
• W3094614841 cites W2974674542 @default.
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• W3094614841 cites W2991486755 @default.
• W3094614841 cites W2998110292 @default.
• W3094614841 cites W3006711793 @default.
• W3094614841 cites W3009691693 @default.
• W3094614841 cites W3010320765 @default.
• W3094614841 cites W3014572575 @default.
• W3094614841 cites W3014841350 @default.
• W3094614841 cites W3024600325 @default.
• W3094614841 cites W4212863985 @default.
• W3094614841 cites W4213046562 @default.
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• W3094614841 doi "https://doi.org/10.1029/2020wr027949" @default.
• W3094614841 hasPublicationYear "2020" @default.
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