carb<strong>on</strong> balance. Soil moisture measurements are also <strong>of</strong>importance in modeling and predicting extreme events suchas floods and droughts. The algorithms and data productsfor SMAP are being developed in <strong>the</strong> SMAP Science DataSystem (SDS) Testbed. In <strong>the</strong> Testbed algorithms aredeveloped and evaluated using simulated SMAPobservati<strong>on</strong>s as well as observati<strong>on</strong>al data from currentairborne and spaceborne L-band sensors including datafrom <strong>the</strong> SMOS and Aquarius missi<strong>on</strong>s. We report here <strong>on</strong><strong>the</strong> development status <strong>of</strong> <strong>the</strong> SMAP data products. TheTestbed simulati<strong>on</strong>s are designed to capture various sources<strong>of</strong> errors in <strong>the</strong> products including envir<strong>on</strong>ment effects,instrument effects (n<strong>on</strong>-ideal aspects <strong>of</strong> <strong>the</strong> measurementsystem), and retrieval algorithm errors. The SMAP projecthas developed a Calibrati<strong>on</strong> and Validati<strong>on</strong> (Cal/Val) Planthat is designed to support algorithm development (prelaunch)and data product validati<strong>on</strong> (post-launch). A keycomp<strong>on</strong>ent <strong>of</strong> <strong>the</strong> Cal/Val Plan is <strong>the</strong> identificati<strong>on</strong>,characterizati<strong>on</strong>, and instrumentati<strong>on</strong> <strong>of</strong> sites that can beused to calibrate and validate <strong>the</strong> sensor data (Level 1) andderived geophysical products (Level 2 and higher).Nolin, Anne W.Vegetati<strong>on</strong> and Snow: <strong>Remote</strong> <strong>Sensing</strong> andInteracti<strong>on</strong>s from <strong>the</strong> Local to <strong>the</strong> C<strong>on</strong>tinentalScaleNolin, Anne W. 1 ; Co<strong>on</strong>s, Lexi 1 ; Blauvelt, Katie 1 ; Gleas<strong>on</strong>,Kelly 1 ; Sproles, Eric 11. College <strong>of</strong> Earth, Ocean, and Atmospheric Sciences,Oreg<strong>on</strong> State University, Corvallis, OR, USAIn cold land envir<strong>on</strong>ments, snow cover is a key part <strong>of</strong><strong>the</strong> terrestrial water cycle and snow-vegetati<strong>on</strong> interacti<strong>on</strong>sare intricately linked and bidirecti<strong>on</strong>al. For example, reducedsnow cover increases soil moisture stress affecting vegetati<strong>on</strong>growth patterns and multiplying impacts to vegetati<strong>on</strong>including carb<strong>on</strong> storage, phenology, pest life history, andfire frequency. Land cover affects aerodynamic roughnessand turbulent fluxes at <strong>the</strong> snow-atmosphere-vegetati<strong>on</strong>interface. Changes in land cover due to natural and humanimpacts (wildfire, pest infestati<strong>on</strong>, forest harvest) affectpatterns <strong>of</strong> snow accumulati<strong>on</strong> and ablati<strong>on</strong>. Moreover, <strong>the</strong>presence <strong>of</strong> forest canopy and shrub vegetati<strong>on</strong> significantlyinhibits our ability to measure and m<strong>on</strong>itor our changingsnowpacks. In this presentati<strong>on</strong>, we present new c<strong>on</strong>cepts inmeasuring and understanding snow-vegetati<strong>on</strong> interacti<strong>on</strong>swith relevance to remote sensing. First, we debut a new acanopy adjustment for fracti<strong>on</strong>al snow covered area that usesvegetati<strong>on</strong> density and height. Because forest canopyobscures <strong>the</strong> snow below whereas shrubs typically do not,canopy height must be known if <strong>on</strong>e is to provide accuratemaps <strong>of</strong> snow-covered area. Sec<strong>on</strong>d, positive correlati<strong>on</strong>sbetween snow cover and vegetati<strong>on</strong> have been observed.Using 10 years <strong>of</strong> MODIS data we dem<strong>on</strong>strate relati<strong>on</strong>shipsbetween green biomass and antecedent snow cover frequencyfor various regi<strong>on</strong>s in <strong>the</strong> United States. Last, we identifyhow changing land cover due to wildfire or forest harvestaffect snow energy balance and how such changes can bemeasured from space using sensor technologiesrecommended by <strong>the</strong> Decadal Survey.http://www.geo.oreg<strong>on</strong>state.edu/~nolina/RESEARCH_GROUP/No<strong>on</strong>e, David C.Evaluati<strong>on</strong> <strong>of</strong> tropical c<strong>on</strong>tinental water cyclingfrom space-based observati<strong>on</strong>s <strong>of</strong> water isotoperatiosNo<strong>on</strong>e, David C. 1 ; Berkelhammer, Max 1 ; Worden, John 2 ;Schmidt, Gavin 31. Univ Colorado, Dept Atmospheric & Oceanic Sci,Boulder, CO, USA2. Jet Propulsi<strong>on</strong> Laboratory, California Institute <strong>of</strong>Technology, Pasadena, CA, USA3. Goddard Institute for Space Siences, New York, NY, USAThe c<strong>on</strong>tinental water cycle in <strong>the</strong> tropics is a leadingcomp<strong>on</strong>ent <strong>of</strong> <strong>the</strong> global latent heat budget. Uncertainty in<strong>the</strong> rates <strong>of</strong> exchange <strong>of</strong> water between <strong>the</strong> tropical landsurface and <strong>the</strong> atmosphere persist as uncertainties inestimates <strong>of</strong> <strong>the</strong> global energy budget. Uncertainties arisebecause <strong>of</strong> lack <strong>of</strong> c<strong>on</strong>straint <strong>on</strong> <strong>the</strong> pathways that watertakes as it moves from <strong>the</strong> atmosphere to <strong>the</strong> landscape andback. Model estimates <strong>of</strong> land-atmosphere exchange rely <strong>on</strong>estimates <strong>of</strong> model parameters that are not well c<strong>on</strong>strainedby observati<strong>on</strong>s. Inter-model differences are associated withinherently small scale processes such as infiltrati<strong>on</strong>,intercepti<strong>on</strong> <strong>of</strong> water <strong>on</strong> canopies and rooting depth. At <strong>the</strong>regi<strong>on</strong>al scale, <strong>the</strong> aggregate <strong>of</strong> complex ecosystem fluxes canbe better understood with knowledge <strong>of</strong> <strong>the</strong> isotopiccompositi<strong>on</strong> <strong>of</strong> water because <strong>the</strong> isotopic compositi<strong>on</strong>provides c<strong>on</strong>straint <strong>on</strong> <strong>the</strong> net fluxes that result from <strong>the</strong>c<strong>on</strong>servati<strong>on</strong> and partiti<strong>on</strong>ing <strong>of</strong> isotope ratios duringexchange. Estimates <strong>of</strong> <strong>the</strong> D/H isotope ratio <strong>of</strong> water vaporfrom <strong>the</strong> Tropospheric Emissi<strong>on</strong> Spectrometer (TES) <strong>on</strong>NASA’s Aura spacecraft are used to deduce features <strong>of</strong> <strong>the</strong>terrestrial water budget. The isotopic informati<strong>on</strong> is usefulin two ways: 1) it provides a tracer <strong>of</strong> mechanismsc<strong>on</strong>trolling vertical transport from <strong>the</strong> boundary layer,through clouds and to <strong>the</strong> troposphere, and 2) it proves ageophysical “tag” which reflects <strong>the</strong> fracti<strong>on</strong> <strong>of</strong> water vaporwhich is derived from transpirati<strong>on</strong> versus water vapor withan oceanic origin and associated with low level advecti<strong>on</strong>.Isotopic ratios from TES are used to estimate seas<strong>on</strong>al andinterannual variati<strong>on</strong>s in <strong>the</strong> terms c<strong>on</strong>tributing to <strong>the</strong>atmospheric water budget <strong>of</strong> <strong>the</strong> Amaz<strong>on</strong> and near <strong>the</strong>Indian/Asian m<strong>on</strong>so<strong>on</strong>s. Results are c<strong>on</strong>trasted wi<strong>the</strong>stimates <strong>of</strong> c<strong>on</strong>tinental recycling and seas<strong>on</strong>al changes inmoisture budgets derived from n<strong>on</strong>-isotopic means. Thework highlights <strong>the</strong> advantages <strong>of</strong> using isotopicinformati<strong>on</strong> in integrated assessments <strong>of</strong> c<strong>on</strong>tinental waterbudgets. The study also highlights <strong>the</strong> advantage <strong>of</strong> pairingisotopic measurements with o<strong>the</strong>r trace gases such as CO2and CO to c<strong>on</strong>strain vertical transport, and points to <strong>the</strong>need for better surface and aircraft based observati<strong>on</strong>s <strong>of</strong> <strong>the</strong>isotopic compositi<strong>on</strong> to complement <strong>the</strong> regi<strong>on</strong>al syn<strong>the</strong>sis<strong>of</strong>fered by satellite remote sensing.112
Norouzi, HamidrezaLand Surface Characterizati<strong>on</strong> Using Multi-satelliteMicrowave Observati<strong>on</strong>sNorouzi, Hamidreza 1 ; Aghakouchak, Amir 2 ; Azarderakhsh,Marzieh 31. The City University <strong>of</strong> New York - NYCCT, New York, NY,USA2. University <strong>of</strong> California - Irvine, Irvine, CA, USA3. The City College <strong>of</strong> New York, New York, NY, USAMicrowave observati<strong>on</strong>s at low frequencies exhibitsensitivity to surface and subsurface properties as expressedby surface emissivity. Moreover, <strong>the</strong> microwave brightnesstemperatures at different frequencies originate fromdifferent depths which can provide structural pr<strong>of</strong>ile <strong>of</strong> <strong>the</strong>surface. This informati<strong>on</strong> can be used to characterize <strong>the</strong>vegetati<strong>on</strong> structure or soil moisture pr<strong>of</strong>iles. In this study,we developed a global land emissivity product using AMSR-Epassive microwave data after removing <strong>the</strong> effect <strong>of</strong> <strong>the</strong>atmosphere. Also, <strong>the</strong> impact <strong>of</strong> <strong>the</strong> difference in penetrati<strong>on</strong>depths between passive microwave and <strong>the</strong>rmal temperatures<strong>on</strong> <strong>the</strong> retrieval <strong>of</strong> land emissivity was investigated. There is adifference in phase time and amplitude between physicaltemperature from IR and MW brightness temperature,especially in arid and semi-arid regi<strong>on</strong>s where microwavepenetrates deeper than <strong>the</strong>rmal Infrared observati<strong>on</strong>s. Thediurnal variati<strong>on</strong> <strong>of</strong> passive microwave brightnesstemperature using similar frequencies <strong>of</strong> different satelliteswas analyzed. Principal Comp<strong>on</strong>ent Analysis (PCA) is usedto explore <strong>the</strong> spatial variati<strong>on</strong> <strong>of</strong> passive microwave diurnalcycle. The effect <strong>of</strong> <strong>the</strong> moisture in vegetati<strong>on</strong> and soil <strong>on</strong> <strong>the</strong>shape <strong>of</strong> <strong>the</strong> diurnal cycle at different frequencies wereexamined. Larger diurnal amplitude is observed in aridregi<strong>on</strong>s while densely vegetated areas present loweramplitude. The differences in emissivities at differentfrequencies are c<strong>on</strong>sistent with vegetati<strong>on</strong> structures.Different land classes and <strong>the</strong>ir changes through <strong>the</strong> time isalso investigated.Nosetto, MarceloLand-use changes in temperate Argentina:Assessing <strong>the</strong>ir hydrological impacts with remotesensingNosetto, Marcelo 1, 2 ; Jobbágy, Esteban 1, 21. IMASL - CONICET & UNSL, Grupo de EstudiosAmbientales, San Luis, Argentina2. Ciencias Agropecuarias, FICES, Villa Mercedes, ArgentinaVegetati<strong>on</strong> exerts a str<strong>on</strong>g c<strong>on</strong>trol <strong>on</strong> water balance andkey hydrological variables like evapotranspirati<strong>on</strong>, wateryield or even <strong>the</strong> flooded area may result severely affected byvegetati<strong>on</strong> changes. Particularly, transiti<strong>on</strong>s between treeandherbaceous-dominated covers, which are taking place atincreasing rates in sou<strong>the</strong>rn South America, may have <strong>the</strong>greatest impact <strong>on</strong> <strong>the</strong> water balance. Both <strong>the</strong> clearing <strong>of</strong>native dry forests for grain producti<strong>on</strong> and <strong>the</strong> afforestati<strong>on</strong><strong>of</strong> grasslands with fast-growing tree species are occurring indifferent areas <strong>of</strong> temperate Argentina. The fast replacement<strong>of</strong> perennial pastures by soybean in <strong>the</strong> Pampas may alsolead to noticeable hydrological effects. Based <strong>on</strong> Landsat andTerra imagery analysis, field sampling and hydrologicalmodeling we evaluated vapor and liquid ecosystem waterfluxes, soil moisture changes and groundwater levelsdynamics in temperate Argentina and provided a usefulframework to assess potential hydrological impacts <strong>of</strong> landusechanges. Different native (dry forests, grasslands) andmodified vegetati<strong>on</strong> types (eucalyptus plantati<strong>on</strong>s, singlesoybean crop and wheat/soybean rotati<strong>on</strong>, alfalfa pastures)were c<strong>on</strong>sidered in <strong>the</strong> analysis. Despite c<strong>on</strong>trastingstructural differences, native dry forests and eucalyptusplantati<strong>on</strong>s displayed evapotranspirati<strong>on</strong> values remarkablysimilar (1100 mm y1) and significantly higher thanherbaceous vegetati<strong>on</strong> covers (780, 670 and 800 mm y1for grasslands, soybean and wheat/soybean system,respectively). In agreement with evapotranspirati<strong>on</strong>estimates, soil pr<strong>of</strong>iles to a depth <strong>of</strong> 3 m were significantlydrier in woody covers (0.31 m3 m3) compared to nativegrasslands (0.39 m3 m3), soybean (0.38 m3 m3) andwheat/soybean rotati<strong>on</strong> (0.35 m3 m3). Where groundwaterwas shallow (< 5 m <strong>of</strong> depth), soil pr<strong>of</strong>iles at eucalyptusplantati<strong>on</strong>s showed higher salts accumulati<strong>on</strong> compared tocrops and grasslands. Groundwater and soil salinizati<strong>on</strong>increased as <strong>the</strong> water balance became more negative and <strong>the</strong>groundwater shallower. Liquid water fluxes (deep drainage +surface run<strong>of</strong>f) were at least doubled in herbaceous covers, assuggested by modeling (170 mm y1) and 357 mm y1),for woody and herbaceous covers, respectively). Our analysisrevealed <strong>the</strong> hydrological outcomes <strong>of</strong> different vegetati<strong>on</strong>changes trajectories and provided valuable tools that willhelp to anticipate likely impacts, minimize uncertainties andprovide a solid base for sustainable land use planning.Nunes, AnaChallenges in Assessing South AmericanHydroclimate: How Can Satellite-BasedPrecipitati<strong>on</strong> Products Help?Nunes, Ana 11. Federal University <strong>of</strong> Rio de Janeiro, Rio de Janeiro, BrazilAssessing climate variability and change at regi<strong>on</strong>alscales can be challenging due to n<strong>on</strong>linear interacti<strong>on</strong>sam<strong>on</strong>g different scale phenomena, particularly in regi<strong>on</strong>swith sparse l<strong>on</strong>g-term observati<strong>on</strong>al records such as SouthAmerica. Therefore, rec<strong>on</strong>structing regi<strong>on</strong>al climate throughdynamically c<strong>on</strong>sistent models can be useful over remoteareas <strong>of</strong> South America, and also provide additi<strong>on</strong>al variablesets for energy and water-cycle studies over <strong>the</strong> entirec<strong>on</strong>tinental domain. By c<strong>on</strong>sidering a global reanalysis as <strong>the</strong>boundary c<strong>on</strong>diti<strong>on</strong> provider, and c<strong>on</strong>straining a regi<strong>on</strong>alclimate model’s soluti<strong>on</strong> to closely follow <strong>the</strong> boundaryfields at scales above 1,000 km, <strong>on</strong>e would expect that largescalefeatures from global reanalysis could be preservedduring l<strong>on</strong>g-term regi<strong>on</strong>al simulati<strong>on</strong>s. However,parameterized processes such as c<strong>on</strong>vecti<strong>on</strong> can cause <strong>the</strong>regi<strong>on</strong>al model’s full soluti<strong>on</strong> (base field + perturbati<strong>on</strong>) to113
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esilience to hydrological hazards a
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Alfieri, Joseph G.The Factors Influ
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climate and land surface unaccounte
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further verified that even for conv
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Courault, DominiqueAssessment of mo
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storage change solutions in the for
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