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2012 AGU Chapman Conference on Remote Sensing of the ...

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Pavelsky, Tamlin M.C<strong>on</strong>tinuous River Width-Drainage AreaRelati<strong>on</strong>ships in <strong>the</strong> Yuk<strong>on</strong> River BasinPavelsky, Tamlin M. 1 ; Allen, George H. 11. Dept <strong>of</strong> Geological Sciences, University <strong>of</strong> NorthCarolina, Chapel Hill, NC, USAThrough <strong>the</strong>ir role in transporting water and sedimentfrom upland catchments to coastal oceans, rivers play a keyrole in organizing landscapes and represent a major link in<strong>the</strong> global hydrologic cycle. River form varies widely, anddifferent characteristics reflect variati<strong>on</strong>s in discharge,substrate, climate, and human impacts. Studies <strong>of</strong> <strong>the</strong>relati<strong>on</strong>ship between fluvial form and discharge (orcatchment area, which is <strong>of</strong>ten substituted) have beenc<strong>on</strong>ducted since at least <strong>the</strong> early 1950s, with statisticalrelati<strong>on</strong>ships between discharge and river depth, width, andvelocity encapsulated in <strong>the</strong> hydraulic geometry framework.However, large-scale examinati<strong>on</strong>s <strong>of</strong> river form have beenlimited by a lack <strong>of</strong> data, and most prior studies havefocused <strong>on</strong> discrete cross-secti<strong>on</strong>s surveyed <strong>on</strong> <strong>the</strong> ground or<strong>on</strong> descripti<strong>on</strong>s <strong>of</strong> network form (i.e. stream order) ra<strong>the</strong>rthan c<strong>on</strong>tinuous river morphology. More recently, satelliteremote sensing has been used to study river form over largerscales, without <strong>the</strong> need for ground-based surveying. To thispoint, however, studies <strong>of</strong> river form from space have largelyfocused <strong>on</strong> individual river reaches or sets <strong>of</strong> discrete crosssecti<strong>on</strong>sra<strong>the</strong>r than measuring fluvial form c<strong>on</strong>tinuouslyover entire large river basins. In this study, we use <strong>the</strong>RivWidth s<strong>of</strong>tware tool(http://www.unc.edu/~pavelsky/Pavelsky/RivWidth.html) toc<strong>on</strong>tinuously map river widths from 30 m Landsat imageryfor all rivers wider than ~50m in <strong>the</strong> Yuk<strong>on</strong> River Basin <strong>of</strong>Canada and Alaska. The Yuk<strong>on</strong> basin was selected because itis almost entirely free <strong>of</strong> direct human influence <strong>on</strong> riverform, while also c<strong>on</strong>taining a wide range <strong>of</strong> different channelplanforms. The resulting map <strong>of</strong> river widths is <strong>the</strong>n linkedto a map <strong>of</strong> catchment area derived from <strong>the</strong> Hydro1Kdigital elevati<strong>on</strong> dataset, allowing width and catchment areato be c<strong>on</strong>tinuously compared across an entire large riverbasin for <strong>the</strong> first time. From <strong>the</strong>se linked datasets, weevaluate <strong>the</strong> c<strong>on</strong>sistency <strong>of</strong> width-catchment arearelati<strong>on</strong>ships over <strong>the</strong> entire basin and compare individualsub-basins with different characteristics including sedimentload, permafrost extent, and annual precipitati<strong>on</strong>. Inadditi<strong>on</strong>, <strong>the</strong> width dataset developed here provides a firstmeasure <strong>of</strong> which rivers within <strong>the</strong> Yuk<strong>on</strong> Basin will besampled by <strong>the</strong> NASA/CNES Surface Water and OceanTopography (SWOT) satellite missi<strong>on</strong>. One <strong>of</strong> SWOT’s majorgoals is <strong>the</strong> provisi<strong>on</strong> <strong>of</strong> discharge estimates for all riverswider than 100 m, globally, yet <strong>the</strong> extent and locati<strong>on</strong>s <strong>of</strong><strong>the</strong>se rivers remains poorly c<strong>on</strong>strained. We dem<strong>on</strong>strate <strong>the</strong>ability <strong>of</strong> RivWidth measurements to estimate SWOTsampling extent over larger river basins such as <strong>the</strong> Yuk<strong>on</strong>.Peters-Lidard, Christa D.The Impact <strong>of</strong> AMSR-E Soil Moisture Assimilati<strong>on</strong><strong>on</strong> Evapotranspirati<strong>on</strong> Estimati<strong>on</strong>Peters-Lidard, Christa D. 1 ; Kumar, Sujay 2, 1 ; Mocko, David 2, 1 ;Tian, Yud<strong>on</strong>g 3, 11. Hydrological Sciences Laboratory, NASA/GSFC Code 617,Greenbelt, MD, USA2. SAIC, Beltsville, MD, USA3. ESSIC, University <strong>of</strong> Maryland, College Park, MD, USAAn assessment <strong>of</strong> ET estimates for current LDASsystems is provided al<strong>on</strong>g with current research thatdem<strong>on</strong>strates improvement in LSM ET estimates due toassimilating satellite-based soil moisture products. Using <strong>the</strong>Ensemble Kalman Filter in <strong>the</strong> Land Informati<strong>on</strong> System, weassimilate both NASA and Land Parameter Retrieval Model(LPRM) soil moisture products into <strong>the</strong> Noah LSM Versi<strong>on</strong>3.2 with <strong>the</strong> North American LDAS phase 2 (NLDAS-2)forcing to mimic <strong>the</strong> NLDAS-2 c<strong>on</strong>figurati<strong>on</strong>. Throughcomparis<strong>on</strong>s with two global reference ET products, <strong>on</strong>ebased <strong>on</strong> interpolated flux tower data and <strong>on</strong>e from a newsatellite ET algorithm, over <strong>the</strong> NLDAS2 domain, wedem<strong>on</strong>strate improvement in ET estimates <strong>on</strong>ly whenassimilating <strong>the</strong> LPRM soil moisture product.http://lis.gsfc.nasa.govPipunic, RobertImpacts <strong>of</strong> satellite surface soil moistureassimilati<strong>on</strong> <strong>on</strong> modelled root z<strong>on</strong>e soil moistureand ET over a six year period: Assessment across anin-situ soil moisture m<strong>on</strong>itoring network, Murray-Darling Basin, AustraliaPipunic, Robert 1 ; Ryu, D<strong>on</strong>gryeol 1 ; Walker, Jeffrey 21. Department <strong>of</strong> Infrastructure Engineering, TheUniversity <strong>of</strong> Melbourne, Parkville, VIC, Australia2. Department <strong>of</strong> Civil Engineering, M<strong>on</strong>ash University,Clayt<strong>on</strong>, VIC, AustraliaThe importance <strong>of</strong> root z<strong>on</strong>e soil moisture is recognisedfor its role in partiti<strong>on</strong>ing rainfall between infiltrati<strong>on</strong> andrun-<strong>of</strong>f, drainage to groundwater, and as a water storeaccessible to plant roots c<strong>on</strong>tributing to evapotranspirati<strong>on</strong>.Thus accurate predicti<strong>on</strong>s <strong>of</strong> moisture c<strong>on</strong>tent in <strong>the</strong> rootz<strong>on</strong>e will have enormous benefit for land and watermanagement practices including agriculture, flood andwea<strong>the</strong>r forecasting. While this has been l<strong>on</strong>g known, it isstill very difficult to predict <strong>the</strong> soil moisture c<strong>on</strong>tent <strong>of</strong>desired accuracies with spatially distributed Land SurfaceModels (LSMs), which becomes more challenging whenLSMs are run at

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