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

(less than 100 mm/a). Furthermore, daily ET varied from0.23 mm/d to 1.27 mm/d. 3T modeled ET was validatedwith energy balance equation, results showed that the meanabsolute error (MAE) was 0.34 mm/d, which indicated that3T model is a simple and an accurate way to estimate ET, hasgood prospects for RS applications.9-year averaged ET estimated by 3T model in Heihe RiverCatchment.Qualls, Russell J.Use of MODIS Snow-Covered-Area to DevelopHistorical, Current and Future Snow DepletionCurves for Snowmelt Runoff ModelingQualls, Russell J. 1 ; Arogundade, Ayodeji 11. Biological & Agricultural Engineering, University ofIdaho, Moscow, ID, USAQuantification of snow-covered area and its declinethroughout the snowmelt season is an important input forsnowmelt runoff models in the prediction of runoff andsimulation of streamflow. Several remote sensing methodsof snowcover mapping exist today that can be used indetermining the progressive reduction of snow cover duringsnowmelt; however, some of these methods of snowmapping, such as the Moderate-Resolution ImagingSpectroradiometer (MODIS) satellite sensor, are relativelynew. The relative recency of MODIS which launched in 1999and other new remote sensing methods, limit their direct usein developing historical snow depletion curves. Nevertheless,historical depletion curves are important for general modelvalidation purposes, and also for studying impacts ofvarying or changing climate on snowmelt and surfacerunoff. For the latter purpose, historical depletion curves areuseful both for establishing a baseline, and for testingimpacts of perturbations to climate such as associated withclimate change scenarios. These historical depletion curves,among many other uses, provide snow cover information forsnowmelt runoff modeling in hydrologic models such assnowmelt runoff model (SRM). Based on numerousobservations in the literature that snowmelt occurs in arepeating patterns, albeit shifted and/or accelerated ordecelerated in time, from one year to the next, a method ispresented in this study that makes use of the availableremotely sensed MODIS data and concurrent ground basedSNOTEL data to construct a single dimensionless snowdepletion curve that is subsequently used with historicalSNOTEL data to reconstruct snow depletion curves for baseperiods preceding the availability of current satellite remotesensing, and for future periods associated with alteredclimate scenarios; the method may also be used in anycurrent snowmelt season to forecast the snowmelt andimprove streamflow forecasts.Separation of evaporation (Es) and transpiration (Ec) based on 3Tmodel.120Rango, AlbertHydrology with Unmanned Aerial Vehicles (UAVs)Rango, Albert 1 ; Vivoni, Enrique R. 21. Jornada Experimental Range, USDA-ARS, Las Cruces,NM, USA2. School of Earth and Space Exploration & School ofSustainable Engineering and Built Environment, ArizonaState University, Tempe, AZ, USAHydrologic remote sensing currently depends onexpensive and infrequent aircraft observations for validationof operational satellite products, typically conducted duringfield campaigns that also include ground-basedmeasurements. With the advent of new, hydrologically-