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

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

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climate associated with hydrological changes is expected tobe small.compared to <strong>the</strong> SEBAL versi<strong>on</strong> without any modificati<strong>on</strong>,and it significantly discriminated ET am<strong>on</strong>g 75.8% <strong>of</strong>vegetati<strong>on</strong> types, at threshold differences in ET 0.5mm/day.Figure 1Figure 2Mariotto, IsabellaApplicati<strong>on</strong> <strong>of</strong> SEBAL Modified for TopographicReflectance and Roughness to Map <strong>the</strong> SpatialDistributi<strong>on</strong> <strong>of</strong> ET in a Heterogeneous AreaMariotto, Isabella 1, 2 ; Gutschick, Vincent P. 21. Soil, Water, Envir<strong>on</strong>mental Science, University <strong>of</strong>Ariz<strong>on</strong>a, Tucs<strong>on</strong>, AZ, USA2. Global Change C<strong>on</strong>sulting C<strong>on</strong>sortium, Inc., Las Cruces,NM, USAThis study presents a methodology to build advancedenergy balance algorithms to map ET in a heterogeneoussemi-arid area presenting 12 different land covers rangingfrom sand dunes to grassland and shrublands. The SurfaceEnergy Balance Algorithm for Land (SEBAL) was modifiedfor <strong>the</strong> roughness term and for <strong>the</strong> albedo and vegetati<strong>on</strong>index by respectively incorporating a plant heightcomp<strong>on</strong>ent and a n<strong>on</strong>-Lambertian topographic correcti<strong>on</strong> <strong>of</strong>reflectance. Correcti<strong>on</strong>s were performed using a GISraster/vector platform integrated with ASTER <strong>the</strong>rmal andreflectance imagery, and terrain and land cover data. SEBALcomputed with <strong>the</strong> modificati<strong>on</strong>s showed <strong>the</strong> bestagreement with <strong>the</strong> eddy covariance flux measurements,97McCabe, Mat<strong>the</strong>w F.Multi-model regi<strong>on</strong>al scale estimati<strong>on</strong> <strong>of</strong>evapotranspirati<strong>on</strong>McCabe, Mat<strong>the</strong>w F. 1 ; Ershadi, Ali 1 ; Evans, Jas<strong>on</strong> 11. School <strong>of</strong> Civil and Envir<strong>on</strong>mental Engineering,University <strong>of</strong> New South Wales, Sydney, NSW, AustraliaAccurate estimati<strong>on</strong> <strong>of</strong> surface heat fluxes is <strong>of</strong>c<strong>on</strong>siderable interest to meteorological, climatological andagricultural investigati<strong>on</strong>s as <strong>the</strong>y identify <strong>the</strong> key physicalprocesses that link <strong>the</strong> land surface with <strong>the</strong> atmosphere.While characterising surface fluxes is critical in describing<strong>the</strong> partiti<strong>on</strong>ing <strong>of</strong> water and energy across Earths terrestrialsurfaces, accurately m<strong>on</strong>itoring <strong>the</strong> spatial variati<strong>on</strong>,particularly at daily and sub-daily scales, is notoriouslydifficult. Spatial and temporal scaling issues, errors inforcing variables, heterogeneity in surface characteristics andsimplificati<strong>on</strong>s in process understanding, all limit <strong>the</strong>capacity to accurately m<strong>on</strong>itor flux development andvariability. Here, comm<strong>on</strong> approaches such as <strong>the</strong> Penman-M<strong>on</strong>teith formulati<strong>on</strong> are c<strong>on</strong>sidered al<strong>on</strong>gside remotesensing based techniques, surface energy balance retrievalsand coupled regi<strong>on</strong>al climate model output to examine <strong>the</strong>variati<strong>on</strong> and c<strong>on</strong>sistency within <strong>the</strong>se different estimati<strong>on</strong>approaches. The work is discussed in <strong>the</strong> c<strong>on</strong>text <strong>of</strong> aninternati<strong>on</strong>al collaborative effort to develop a globalobservati<strong>on</strong>ally based climatology <strong>of</strong> surface heat fluxes,which is being coordinated by <strong>the</strong> GEWEX Radiati<strong>on</strong> Panel.McCabe, Mat<strong>the</strong>w F.Intercomparis<strong>on</strong> <strong>of</strong> flux measurement approaches:eddy covariance, scintillometers and remotesensing retrievals over a grasslandMcCabe, Mat<strong>the</strong>w F. 1 ; Ershadi, Ali 1 ; Graham, Peter 11. School <strong>of</strong> Civil and Envir<strong>on</strong>mental Engineering,University <strong>of</strong> New South Wales, Sydney, NSW, AustraliaThe accurate estimati<strong>on</strong> <strong>of</strong> surface heat fluxes using insitubased instrumentati<strong>on</strong> is <strong>of</strong> c<strong>on</strong>siderable importance,particularly in <strong>the</strong> evaluati<strong>on</strong> <strong>of</strong> spatially distributed remotesensing based retrievals using satellite and o<strong>the</strong>r data. Usingthree recently installed instruments at <strong>the</strong> BaldryHydrological Observatory in <strong>the</strong> central-west <strong>of</strong> NSW inAustralia, an evaluati<strong>on</strong> <strong>of</strong> <strong>the</strong>se different estimati<strong>on</strong>techniques is undertaken through instrumentintercomparis<strong>on</strong> and also using comm<strong>on</strong> meteorologicalestimati<strong>on</strong> approaches, such as <strong>the</strong> Penman-M<strong>on</strong>teith andpr<strong>of</strong>ile methods. <strong>Remote</strong> sensing based retrievals are alsoexamined to establish <strong>the</strong> degree <strong>of</strong> spatial variability at <strong>the</strong>site and <strong>the</strong> representativeness <strong>of</strong> ground based datacollecti<strong>on</strong>s.

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