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

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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

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