adiometers in geostati<strong>on</strong>ary Earth orbit (e.g., Joyce et al.2004, J. Hydrometeorol; Huffman et al. 1997, J.Hydrometeorol; Ushio et al. 2009, J. Meteorol. Soc. Jpn.).Although utilizati<strong>on</strong> <strong>of</strong> <strong>the</strong>se datasets for flood andlandslide analysis/predicti<strong>on</strong> has started, it is still in <strong>the</strong>experimental stage because <strong>of</strong> <strong>the</strong> poor performance <strong>of</strong>satellite estimates in heavy rainfall over mountainousregi<strong>on</strong>s. Kubota et al. (2009, J. Meteorol. Soc. Jpn.) showedworst verificati<strong>on</strong> results over mountainous regi<strong>on</strong>s, inparticular, areas with frequently heavy orographic rainfall,comparing <strong>the</strong> satellite rainfall estimates around Japan withreference to a ground-radar dataset calibrated by rain gaugesprovided by <strong>the</strong> Japan Meteorological Agency. Theysuggested that <strong>on</strong>e <strong>of</strong> main reas<strong>on</strong>s for <strong>the</strong>se errors isunderestimati<strong>on</strong> <strong>of</strong> MWR algorithms for orographic heavyrainfall over Japan. In this paper, we improve <strong>the</strong>performance <strong>of</strong> estimates by <strong>the</strong> Global Satellite Mapping <strong>of</strong>Precipitati<strong>on</strong> (GSMaP) estimates from MWRs (A<strong>on</strong>ashi et al.2009, J. Meteorol. Soc. Jpn.; Kubota et al. 2007, IEEE Trans.Geosci. <strong>Remote</strong> Sens.) for orographic heavy rainfall. TheGSMaP algorithm c<strong>on</strong>sists <strong>of</strong> <strong>the</strong> forward calculati<strong>on</strong> part tocalculate <strong>the</strong> lookup tables (LUTs) showing <strong>the</strong> relati<strong>on</strong>shipbetween rainfall rates and brightness temperatures (Tbs)with an radiative transfer model (RTM), and <strong>the</strong> retrievalpart to estimate precipitati<strong>on</strong> rates from <strong>the</strong> observed Tbsusing <strong>the</strong> LUTs. We dynamically select whe<strong>the</strong>r LUTscalculated from “original” precipitati<strong>on</strong> pr<strong>of</strong>iles or thosefrom “orographic” precipitati<strong>on</strong> pr<strong>of</strong>iles based <strong>on</strong> <strong>the</strong>orographically forced upward vertical moti<strong>on</strong> and surfacemoisture flux c<strong>on</strong>vergence. Rainfall estimates from <strong>the</strong>revised GSMaP algorithm are much better agreement withPR estimates than those from <strong>the</strong> original GSMaPalgorithm.Shum, C. K.SURFACE FLOOD AND SMALL WATER BODYMONITORING USING RADAR ALTIMETRY:PROSPECTS FOR SWOTShum, C. K. 1 ; Tseng, Kuo-Hsin 1 ; Kuo, Chungyen 2 ; Alsdorf,Douglas 1 ; Calmant, Stephane 3 ; Duan, Jianbin 1 ; Lee,Hy<strong>on</strong>gki 4 ; Yi, Yuchan 11. School <strong>of</strong> Earth Sciences, Ohio State University,Columbus, OH, USA2. School <strong>of</strong> Earth Sciences, The Ohio State University,Columbus, Taiwan3. Institut de Recherche pour le Developpement, LEGOS,Toulouse, France4. Civil and Envir<strong>on</strong>mental Engineering, University <strong>of</strong>Houst<strong>on</strong>, Houst<strong>on</strong>, TX, USAThe planned Surface Water and Ocean Topography(SWOT) wide-swath interferometric altimetry missi<strong>on</strong> isanticipated to revoluti<strong>on</strong>ize hydrologic surface watermeasurement from space, with unprecedented spatialresoluti<strong>on</strong>, sampling and accuracy. While <strong>of</strong>f-nadir repeatpassradar interferometric SAR (InSAR), when combinedwith satellite radar altimetry to provide needed verticalreference, is capable <strong>of</strong> measuring high spatial resoluti<strong>on</strong>(~40 m) dh/dx surface water changes at SAR acquisiti<strong>on</strong>times, unlike SWOT, it could <strong>on</strong>ly measure vegetatedwetlands or lakes which allow double-bounced radar signaldetecti<strong>on</strong>s. This c<strong>on</strong>tributi<strong>on</strong> addresses challenging researchobjectives to improve c<strong>on</strong>temporary pulse-limited nadirradar altimetry to enable accurate measurements <strong>of</strong>spaceborne water level changes over relatively small waterbodies (< 1 km width, which is much smaller than <strong>the</strong> 1-Hzdata sampling with footprints <strong>of</strong> several km), using radarwaveform retracking techniques, exploiting higher sampledaltimeter data (20 Hz for Jas<strong>on</strong>-2), and mitigati<strong>on</strong> <strong>of</strong>spurious waveforms caused by c<strong>on</strong>taminati<strong>on</strong> <strong>of</strong> waveformsover n<strong>on</strong>-water surface, especially those with steep or roughterrains. Here we study <strong>the</strong> feasibility <strong>of</strong> extending <strong>the</strong>capability <strong>of</strong> c<strong>on</strong>temporary radar altimeters (20-Hz Jas<strong>on</strong>-2,<strong>the</strong> planned 40-Hz AltiKa, and <strong>the</strong> mini-swath CryoSatSAR/SIRAL data) for surface flood and inland small waterbody m<strong>on</strong>itoring and hydraulic studies. Dem<strong>on</strong>strati<strong>on</strong>studies include for pro<strong>of</strong>-<strong>of</strong>-c<strong>on</strong>cept timely m<strong>on</strong>itoring <strong>of</strong>flood episodes, flood heights and extents using altimetryand o<strong>the</strong>r data sets (MODIS, GRACE), including 1997 RedRiver floods, <strong>the</strong> 2009 Amaz<strong>on</strong> record flood <strong>on</strong> Rio Negro,<strong>the</strong> 2010 flood in Pakistan and China, <strong>the</strong> 2011 Australian,Memphis and Thailand floods. Dem<strong>on</strong>strati<strong>on</strong> waveformretracking/improvement studies over small inland waterbodies include seas<strong>on</strong>ally inundated Bajhang River, Taiwan,with varying river width at 100 m to 2 km, Poyang Lake,China, and o<strong>the</strong>r water bodies, indicating that using bothalternate retrackers (e.g., threshold retrackers) and waveformediting/mitigati<strong>on</strong> techniques based <strong>on</strong> empirical surfaceresp<strong>on</strong>se data from radar backscatters, resulted in betterImprovement Percentages (IMPs) agreement with availablein situ gage measurements, as compared to <strong>the</strong> <strong>on</strong>boardretracked measurements. Finally, this study intends toaddress <strong>the</strong> feasibility <strong>of</strong> development <strong>of</strong> an improved apriori seas<strong>on</strong>ally varying water masks in preparati<strong>on</strong> for <strong>the</strong>SWOT missi<strong>on</strong>.Singh, AmitASSESSMENT OF MORPHOTECTONICINFLUENCES ON HYDROLOGICALENVIRONMENT IN VICINITY OF AN ACTIVEFAULTSingh, Amit 1 ; Mukherjee, Saumitra 11. School <strong>of</strong> Envir<strong>on</strong>mental Sciences, Jawaharlal NehruUniversity, New Delhi, IndiaStudying effects <strong>of</strong> faulted z<strong>on</strong>es in shaping <strong>the</strong>hydrological envir<strong>on</strong>ment <strong>of</strong> any landscape in a l<strong>on</strong>g run isdifficult, though <strong>the</strong>se can play a crucial role in regulating<strong>the</strong> flow and accumulati<strong>on</strong> <strong>of</strong> water. While aquifer rechargeis directly influenced by <strong>the</strong> structural changes associatedwith tect<strong>on</strong>ic activity, surface flow may also be influenceddepending up<strong>on</strong> <strong>the</strong> topography. While planning for waterresource management, groundwater remediati<strong>on</strong> orhydrological restorati<strong>on</strong> it is imperative to understand andsuitably include <strong>the</strong>se influences to derive maximumbenefit. This study aimed at characterizati<strong>on</strong> <strong>of</strong> surface as134
well as subsurface hydrological c<strong>on</strong>diti<strong>on</strong>s in a hard-rockterrain, morphed under <strong>the</strong> influence <strong>of</strong> neotect<strong>on</strong>ic activity,associated with tensi<strong>on</strong>al type <strong>of</strong> faulting. The area selectedlies in vicinity <strong>of</strong> an active fault, with quartzitic rocksshowing signs <strong>of</strong> multiple folding. Associated tear faults inadjoining areas have also been observed. To initially identifysites suitable for geophysical surveys, a spatial analysisinvolving seismic data and 3D visualizati<strong>on</strong> was d<strong>on</strong>e toidentify <strong>the</strong> lineaments. The informati<strong>on</strong> thus obtained wascorrelated with geological informati<strong>on</strong> derived fromhyperspectral satellite imagery. Geochemical analysis wasalso performed to verify <strong>the</strong> same. Influence <strong>of</strong> faultingactivity <strong>on</strong> regulating water flow <strong>on</strong> surface as well asgroundwater was studied. For surface water bodieshydrological analysis <strong>on</strong> elevati<strong>on</strong> data (DEM) wasperformed whereas for subsurface recharge, margins <strong>of</strong>geological units were targeted. This was c<strong>on</strong>firmed by actualfield geophysical (resistivity) surveys at suitable strategiclocati<strong>on</strong>s. The relative influences <strong>of</strong> structural lineaments <strong>on</strong>regulating subsurface water storage were also determined.The resulting database in GIS platform can also be used forflow modeling and aquifer potential / vulnerability studies.Also, <strong>the</strong> role <strong>of</strong> faulting activity in regulating c<strong>on</strong>nectivitybetween multiple aquifers and surface water bodies may bestudied using <strong>the</strong> outputs.Skuse, Russell J.Thermophysical Characteristics <strong>of</strong> SurfaceMaterials for Mapping <strong>the</strong> Spatial Distributi<strong>on</strong> <strong>of</strong>Soil Moisture in <strong>the</strong> Mojave Desert using multisceneASTER TIR <strong>Remote</strong> <strong>Sensing</strong> Observati<strong>on</strong>sSkuse, Russell J. 1 ; Nowicki, Scott A. 11. Water Resource Management, University <strong>of</strong> Nevada LasVegas, Las Vegas, NV, USAClimate models suggest that <strong>the</strong> Mojave Desertecoregi<strong>on</strong> is vulnerable to becoming drier in <strong>the</strong> future, andas <strong>the</strong> human populati<strong>on</strong> grows and development increases,envir<strong>on</strong>mental stresses will likely increase. Determining <strong>the</strong>spatial distributi<strong>on</strong> and variati<strong>on</strong> <strong>of</strong> soil moisture <strong>on</strong> aregi<strong>on</strong>al scale is an essential comp<strong>on</strong>ent to climate change,hydrologic, and habitat analyses. Soil permeability andsediment stability are characteristics that have been shownto be measurable from remote sensing observati<strong>on</strong>s. Theprimary objective <strong>of</strong> this project is to map <strong>the</strong> mechanicalcompositi<strong>on</strong> <strong>of</strong> <strong>the</strong> surface materials in <strong>the</strong> Mojave Desertecoregi<strong>on</strong> with implicati<strong>on</strong>s for soil permeability, sedimentstability, and soil moisture. We are using advanced mappingtechniques to determine <strong>the</strong> surface mechanicalcompositi<strong>on</strong>s <strong>of</strong> <strong>the</strong> Mojave, using data provided by <strong>the</strong>Advanced Spaceborne Thermal Emissi<strong>on</strong> and Reflecti<strong>on</strong>radiometer (ASTER), which provides <strong>the</strong> spatial resoluti<strong>on</strong>necessary to map <strong>the</strong> compositi<strong>on</strong> and <strong>the</strong>rmal properties <strong>of</strong>arid surfaces and is well suited for mapping <strong>the</strong> spatialdistributi<strong>on</strong> <strong>of</strong> soil moisture. A full-resoluti<strong>on</strong> mosaic <strong>of</strong> TIRand VNIR ASTER images has been c<strong>on</strong>structed for <strong>the</strong> entireMojave Desert for mapping surface comp<strong>on</strong>ents. With a 16-day repeat cycle, ASTER provides <strong>the</strong> high resoluti<strong>on</strong>mapping perspective, but lacks <strong>the</strong> temporal sampling toadequately quantify changes over days to weeks. ModerateResoluti<strong>on</strong> Imaging Spectroradiometer (MODIS) dataprovides <strong>the</strong> temporal resoluti<strong>on</strong> needed to determineseas<strong>on</strong>al variati<strong>on</strong>s, although at a coarser spatial resoluti<strong>on</strong>.Our approach for mapping <strong>the</strong> Mojave Desert regi<strong>on</strong>involves using both MODIS and ASTER to provide <strong>the</strong> idealspatial and temporal sampling to map individual storms and<strong>the</strong>ir effects <strong>on</strong> <strong>the</strong> seas<strong>on</strong>al c<strong>on</strong>diti<strong>on</strong>s <strong>of</strong> <strong>the</strong> surface. Theviability <strong>of</strong> <strong>the</strong> Mojave Desert ecosystem relies solely <strong>on</strong>infrequent storms and <strong>the</strong>ir temporal and spatialdistributi<strong>on</strong> over local regi<strong>on</strong>s and varied landscapes.Mapping <strong>the</strong> distributi<strong>on</strong> <strong>of</strong> individual wetting events withregard to <strong>the</strong> geomorphology <strong>of</strong> <strong>the</strong> regi<strong>on</strong> can be a usefulcomp<strong>on</strong>ent for modeling potential changes as a functi<strong>on</strong> <strong>of</strong>climate change and human development. Our goal is tobetter understand how random wea<strong>the</strong>r events c<strong>on</strong>tribute to<strong>the</strong> hydrologic cycle in <strong>the</strong> Mojave and potentially o<strong>the</strong>r aridregi<strong>on</strong>s around <strong>the</strong> world.Slayback, Daniel A.Near Real-Time Satellite M<strong>on</strong>itoring Of GlobalFlooding EventsSlayback, Daniel A. 1 ; Brakenridge, G. R. 3 ; Policelli, FrederickS. 2 ; Tokay, Maura M. 1 ; Kettner, Albert 31. Biospheric Sciences Laboratory, SSAI/NASA GSFC,Greenbelt, MD, USA2. Office <strong>of</strong> Applied Sciences, NASA GSFC, Greenbelt, MD,USA3. CSDMS, University <strong>of</strong> Colorado, Boulder, CO, USAFlooding is am<strong>on</strong>g <strong>the</strong> most destructive, frequent, andcostly natural disasters faced by modern society, with severalmajor flood events occurring each year. In 2011 al<strong>on</strong>e, some<strong>of</strong> <strong>the</strong> major events include flooding al<strong>on</strong>g <strong>the</strong> Mississippiand regi<strong>on</strong>ally in New England, al<strong>on</strong>g <strong>the</strong> Chao Phraya inThailand, <strong>the</strong> Indus in Pakistan, and coastal Japan after <strong>the</strong>tsunami. The death and financial toll <strong>of</strong> <strong>the</strong>se events hasbeen substantial. When such events occur, <strong>the</strong> disastermanagement community requires flood extent informati<strong>on</strong>with very little latency and frequent updating to bettercoordinate resp<strong>on</strong>se efforts. With funding from NASA’sApplied Sciences program, we have developed, and are nowoperating, a near real-time global flood mapping system tohelp provide critical flood extent informati<strong>on</strong> within 24-48hours after flooding events. The system applies a waterdetecti<strong>on</strong> algorithm to MODIS imagery received from <strong>the</strong>LANCE (Land Atmosphere Near real-time Capability forEOS) system at NASA Goddard. The LANCE systemtypically processes imagery in less than 3 hours after satelliteoverpass, and our flood mapping system can output floodproducts within ½ hour <strong>of</strong> acquiring <strong>the</strong> LANCE products.Using imagery from both <strong>the</strong> Terra (10:30 AM overpass) andAqua (1:30 PM overpass) platforms allows an initialassessment <strong>of</strong> flooding extent by late afterno<strong>on</strong>, every day,and more robust assessments after accumulating imageryover a two day period; <strong>the</strong> MODIS sensors are optical, socloud cover remains an issue, which is partly overcome by135
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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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climate and land surface unaccounte
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further verified that even for conv
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underway and its utility can be ass
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Courault, DominiqueAssessment of mo
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Famiglietti, James S.Getting Real A
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can be thought of as operating in t
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mission and will address the follow
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Gan, Thian Y.Soil Moisture Retrieva
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match the two sets of estimates. Th
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producing CGF snow cover products.
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performance of the AWRA-L model for
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Euphorbia heterandena, and Echinops
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