precipitable water) and surface albedo were used as inputs.Net l<strong>on</strong>gwave radiati<strong>on</strong> was estimated according to <strong>the</strong>Stephen-Boltzmann approximati<strong>on</strong> where MODIS landsurface temperature/emissivity (MOD11), atmosphericpr<strong>of</strong>ile products (MOD07) and cloud products (MOD06)were exploited. The land surface temperature from <strong>the</strong>NCEP/NCAR re-analysis data was used to resolve cloudy skyl<strong>on</strong>gwave radiati<strong>on</strong>. Taking <strong>the</strong> MODIS Terra overpass hourdata (11:30 am) for January 2003, an Initial evaluati<strong>on</strong> <strong>of</strong> RNwas carried out over a variety <strong>of</strong> biome classes (forest,agriculture, savanna and grassland etc.) covering <strong>the</strong>FLUXNET eddy covariance network. This evaluati<strong>on</strong>revealed that <strong>the</strong> MODIS RN could clearly capture <strong>the</strong>variati<strong>on</strong> in both clear and cloudy skies. The cropland (CRO)and deciduous broadleaf forests (DBF) showed maximumcorrelati<strong>on</strong> <strong>of</strong> 0.71 to 0.75, whereas poor correlati<strong>on</strong> wasobserved for evergreen needle-leaf forests (ENF). The rootmean square error (RMSE) varied between 45 W m-2 (DBF)to 207 W m-2 (SAV). This RN product will now be used for<strong>the</strong> development <strong>of</strong> MODIS-based 1 km2 evapotranspirati<strong>on</strong>fields and for <strong>the</strong> fur<strong>the</strong>r evaluati<strong>on</strong> <strong>of</strong> <strong>the</strong> earth systemmodels.Mallick, KaniskaA satellite net available energy retrieval scheme forglobal evapotranspirati<strong>on</strong> studies using AQUAplatformMallick, Kaniska 1 ; Jarvis, Andrew 2 ; Wohlfahrt, Georg 3 ; Kiely,Gerard 4 ; Niyogi, Dev 5 ; Fisher, Joshua B. 11. Water and Carb<strong>on</strong> Cycles, Jet Propulsi<strong>on</strong> Laboratory,California Institute <strong>of</strong> Technology, NASA, Pasadena, CA,USA2. Lancaster Envir<strong>on</strong>ment Centre, Lancaster University,Lancaster, United Kingdom3. Ecosystem Research & Landscape Ecology, University <strong>of</strong>Innsbruck, Innsbruck, Austria4. Department <strong>of</strong> Civil and Envir<strong>on</strong>mental Engineering,University College Cork, Cork, Ireland5. Agr<strong>on</strong>omy and Earth and Atmospheric Sciences, PurdueUniversity, West Lafayette, IN, USASatellite based estimati<strong>on</strong> <strong>of</strong> evapotranspirati<strong>on</strong> has agreat reliance <strong>on</strong> <strong>the</strong> accuracy <strong>of</strong> <strong>the</strong> net available energyretrieval. However, no studies have been reported directretrieval <strong>of</strong> net available energy using satellite data. Thispaper introduces a relatively simple method for estimatingglobal fields <strong>of</strong> net radiati<strong>on</strong> and near-surface net availableenergy (<strong>the</strong> sum <strong>of</strong> <strong>the</strong> sensible and latent heat flux or <strong>the</strong>difference between <strong>the</strong> net radiati<strong>on</strong> and surface heataccumulati<strong>on</strong>) using earth observati<strong>on</strong> visible and infra-redsounding products from AIRS (Atmospheric InfraredSounder) and, atmospheric data from MODIS (MOderateResoluti<strong>on</strong> Imaging Spectroradiometer). The methodfocuses <strong>on</strong> first specifying net surface radiati<strong>on</strong> byc<strong>on</strong>sidering its various shortwave and l<strong>on</strong>gwavecomp<strong>on</strong>ents. A robust generic model for shortwave radiati<strong>on</strong>retrieval was c<strong>on</strong>structed from <strong>the</strong> observed relati<strong>on</strong>shipbetween atmospheric transmissivity, MODIS cloud coverfracti<strong>on</strong> and cloud optical depth, evaluated over 95FLUXNET tower sites. Surface net l<strong>on</strong>gwave radiati<strong>on</strong> wasretrieved directly from <strong>the</strong> AIRS l<strong>on</strong>gwave radiance data. Theno<strong>on</strong> and nighttime net radiati<strong>on</strong> was <strong>the</strong>n used in a surfaceenergy balance equati<strong>on</strong> in c<strong>on</strong>juncti<strong>on</strong> with AIRS no<strong>on</strong>nightsurface temperature difference to derive 12 hourdiscrete time estimates <strong>of</strong> surface system heat capacity andheat accumulati<strong>on</strong>, leading directly to <strong>the</strong> retrieval forsurface net available energy. Taking m<strong>on</strong>thly average 13:30hour data for <strong>the</strong> year 2003, net radiati<strong>on</strong> and net availableenergy estimates were evaluated against ground truth dataover 35 terrestrial tower sites affiliated to <strong>the</strong> FLUXNETnetwork covering a broad spectrum <strong>of</strong> climate regimes. Thisrevealed a relatively good agreement between <strong>the</strong> satelliteand tower data, with a pooled root mean square deviati<strong>on</strong> <strong>of</strong>57 and 73 W m-2 for net radiati<strong>on</strong> and net available energyrespectively. Analysis <strong>of</strong> <strong>the</strong> individual shortwave andl<strong>on</strong>gwave comp<strong>on</strong>ents <strong>of</strong> <strong>the</strong> net radiati<strong>on</strong> revealed <strong>the</strong>downwelling shortwave radiati<strong>on</strong> to be main source <strong>of</strong> thiserror.Maness, HollyThe Hydrologic Impact <strong>of</strong> <strong>the</strong> British ColumbiaMountain Pine Beetle Infestati<strong>on</strong> From <strong>Remote</strong>lySensed DataManess, Holly 1 ; Kushner, Paul 1 ; Fung, Inez 21. University <strong>of</strong> Tor<strong>on</strong>to, Tor<strong>on</strong>to, ON, Canada2. University <strong>of</strong> California at Berkeley, Berkeley, CA, USAThe current mountain pine beetle infestati<strong>on</strong> in BritishColumbia forests ranks am<strong>on</strong>g <strong>the</strong> largest scale disturbancesrecorded to date, affecting approximately 200,000 squarekilometers since <strong>the</strong> disturbance began in <strong>the</strong> mid-1990’s.We present an effort to quantify <strong>the</strong> hydrologicalc<strong>on</strong>sequences <strong>of</strong> this devastati<strong>on</strong> using a combinati<strong>on</strong> <strong>of</strong> insitu and remotely-sensed observati<strong>on</strong>s. The bulk <strong>of</strong> volumekilled is c<strong>on</strong>tained within <strong>the</strong> 217,000-square-kilometerFraser River basin. However, while precipitati<strong>on</strong>,evapotranspirati<strong>on</strong>, run<strong>of</strong>f, and storage observati<strong>on</strong>saggregated at this scale exhibit str<strong>on</strong>g c<strong>on</strong>sistency (Figure 1),<strong>the</strong> effects <strong>of</strong> disturbance are not detected at this regi<strong>on</strong>alscale. Observati<strong>on</strong>s obtained at <strong>the</strong> sub-regi<strong>on</strong>al level (e.g.,AVHRR 8-kilometer observati<strong>on</strong>s) similarly show very littleor no change. Given <strong>the</strong> modest fracti<strong>on</strong>al volume killed inmany stands and <strong>the</strong> spatial disc<strong>on</strong>tinuity <strong>of</strong> severelyaffected areas, <strong>on</strong>ly at <strong>the</strong> scale <strong>of</strong> 1-kilometer MODISobservati<strong>on</strong>s do <strong>the</strong> effects <strong>of</strong> disturbance become evident(Figure 2). We describe <strong>on</strong>going efforts to quantify changesin evapotranspirati<strong>on</strong> and snow cover at this scale, as well as<strong>the</strong> resulting c<strong>on</strong>sequences for land surface temperature.Preliminary results indicate that changes inevapotranspirati<strong>on</strong> can be significant locally, exceeding 30%for volumetric kill fracti<strong>on</strong>s <strong>of</strong> 50% and greater. Results suchas <strong>the</strong>se will serve as an important testbed for climatemodels incorporating <strong>the</strong> effects <strong>of</strong> disturbance <strong>on</strong> foresthydrology. Still, as <strong>the</strong> average forest volume killed forimpacted areas is less than 20%, <strong>the</strong> present feedback <strong>on</strong>96
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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esilience to hydrological hazards a
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Alfieri, Joseph G.The Factors Influ
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Montana and Oregon. Other applicati
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accuracy of snow derivation from si
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seasonal trends, and integrate clou
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a single mission, the phrase “nea
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climate and land surface unaccounte
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esolution lidar-derived DEM was com
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Vila, Daniel A.Satellite Rainfall R
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and landuse sustainability. In this
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Wood, Eric F.Challenges in Developi
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Xie, PingpingGauge - Satellite Merg
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Yebra, MartaRemote sensing canopy c
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used. PIHM has ability to simulate