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

iver-floodplain interface; (3) flow routing in river channelsand floodplains; and (4) evaporation from open watersurfaces.Also, the platform is equipped with themulti-criteria global optimization scheme MOCOM-UA.Here, results obtained with a manual calibration for theAmazon basin are presented and a sensitivity analysis ofmodel parameters is performed. In addition, an automaticcalibration is carried out in order to evaluate the potential ofretrieving model parameters with ENVISAT altimetry data.The model is capable of representing water discharge andlevel variations consistently. Results of the optimizationexperiments show the potential of using spatial altimetrydata in the automatic calibration of GFR schemes and theneed of integrating such data into parameter estimationprocedures.Gilbertson, LindsayAn Intercomparison of EvapotranspirationEstimation Methods for the Godomey Well Field inBenin, West AfricaGilbertson, Lindsay 1, 2 ; Pohll, Greg 1, 2 ; Huntington, Justin L. 1 ;Silliman, Stephen E. 31. Division of Hydrologic Sciences, Desert ResearchInstitute, Reno, NV, USA2. Graduate Program of Hydrologic Sciences, University ofNevada, Reno, Reno, NV, USA3. Department of Civil Engineering and GeologicalSciences, University of Notre Dame, Notre Dame, IN,USAThe Godomey well field supplies groundwater forCotonou, the largest city in Benin, West Africa. Due to theproximity of the wells to the Atlantic Ocean (5 km north ofthe ocean) and to Lake Nokoue, a shallow lake with highlevels of chloride, the wells are threatened by saltwaterintrusion. Ongoing efforts aim to characterize thisgroundwater system to provide management andsustainability information. As part of this effort, this studywill utilize three methods to estimate evapotranspiration(ET) and improve boundary conditions of an existinggroundwater model for the study area. ET methods include:remotely sensed Moderate Resolution ImagingSpectroradiometer (MODIS) products including theMOD16 Global Terrestrial Evapotranspiration Data Set,complementary relationship evapotranspiration, andevapotranspiration from the Global Land Data AssimilationSystem (GLDAS). Initial efforts demonstrate that ETestimates can be used in conjunction with GLDAS runoffdata to better constrain estimates of recharge for the model.Remote sensing and regional scale hydroclimatic modelingprovide a unique opportunity for improving hydrologicbudgets in developing communities that are data limited.Gladkova, IrinaSeasonal snow cover of Yellowstone estimated withrestored MODIS Aqua, and MODIS Terra snowcover mapsGladkova, Irina 1 ; Grossberg, Michael 1 ; Bonev, George 1 ;Romanov, Peter 3 ; Hall, Dorothy 2 ; Riggs, George 21. Computer Science, City College of New York, New York,NY, USA2. Cryospheric Sciences Branch, NASA Goddard SpaceFlight Center, Greenbelt, MD, USA3. Satellite Meteorology and Climatology Division,NESDIS/STAR, Camp Springs, MD, USAThe area surrounding Yellowstone and Teton nationalparks is unique in many ways. By some measures it is thelargest remaining, nearly intact ecosystem in the Earth’snorthern temperate zone. There are mountains andsubalpine forests. Snow, a critical component of the areawater cycle, covers much of the parks from early winterthrough the spring. While there are a number of snowstations in and around the parks, during winter much of thearea is difficult to access. Remote sensing data such as thestandard snow maps from the NASA MODIS instruments,provide a way to study the buildup and depletion of thesnow cover. Forested regions present a particular challengefor snow cover estimation since the trees capture some of thefalling snow, and obscure much of the snow covering theground. The NASA standard MODIS snow algorithms useinformation from multiple bands of MODIS to mapfractional snow cover and snow albedo. The algorithm foraccomplishing that was designed for both Terra and Aqua.Unfortunately the Terra algorithm cannot be applied directlyto MODIS/Aqua since the algorithm relies on band 6 forwhich 3/4 of the detectors are dead or extremely noisy. As aresult the standard snow cover algorithm for Aqua has beenmodified to use band 7; though this works quite well, itproduces different results which are thought to be inferior toresults produced using the functioning band 6 on the Terra.Recently we have developed a quantitative image restorationtechnique and applied it to MODIS/Aqua band 6 to producean improved Aqua snow mask. Because the algorithm we usefor the snow mask is the same as that used for Terra band 6we can now create two views per day helping mitigateobscuration by clouds and differences of lighting due toshadows from the mountains. We created a database ofrestored Aqua band 6 over the Yellowstone region for the2010-2011 snow season to evaluate the benefit of band 6restoration for snow products. Along with the restoredradiances, we are providing NDVI, thermal image and NDSIinputs along with a band 6 based snow map product. Inaddition, we have re-gridded the restored Aqua based onrestored band 6, and combined Terra data to produce aTerra-Aqua combined Cloud-Gap-Filled (CGF) snow covermap product over the snow season. We will present this CGFwith one that uses the previous Band 7 based snow productas well as validate against measurements from 96 groundstations in that area. The result of this local studydemonstrates the value of using restored band 6 for68