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

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

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c<strong>on</strong>stellati<strong>on</strong> radiometers within a unified framework, and(3) physical-based precipitati<strong>on</strong> retrievals from allc<strong>on</strong>stellati<strong>on</strong> radiometers using a comm<strong>on</strong> observati<strong>on</strong>c<strong>on</strong>strainedglobal hydrometeor database c<strong>on</strong>sistent withGPM Core sensor measurements, instead <strong>of</strong> a limited set <strong>of</strong>model-generated hydrometeor database. As a science missi<strong>on</strong>with integrated applicati<strong>on</strong>s goals, GPM will provide a keymeasurement for improving understanding <strong>of</strong> global watercycle variability and freshwater availability. GPM Coresensors will <strong>of</strong>fer insights into 3-dimensi<strong>on</strong>al structures <strong>of</strong>storms, microphysical properties <strong>of</strong> precipitating particles,and latent heat associated with precipitati<strong>on</strong> processes. GPMwill also provide data in near realtime for societalapplicati<strong>on</strong>s ranging from positi<strong>on</strong> fixes <strong>of</strong> storm centers forcycl<strong>on</strong>e track predicti<strong>on</strong>, assimilati<strong>on</strong> <strong>of</strong> precipitati<strong>on</strong>informati<strong>on</strong> in operati<strong>on</strong>al wea<strong>the</strong>r forecasts, m<strong>on</strong>itoringand predicti<strong>on</strong>s for floods and landslides, to management <strong>of</strong>freshwater resources. An overview <strong>of</strong> <strong>the</strong> GPM missi<strong>on</strong>design and U.S. science activities will be presented.Ahmed, Mohamed E.Use <strong>of</strong> GRACE Data to M<strong>on</strong>itor Climate Change(El Niño / La Niña)-induced Variati<strong>on</strong>s in WaterAvailability Across <strong>the</strong> African C<strong>on</strong>tinentAhmed, Mohamed E. 1 ; Sultan, Mohamed 1 ; Wahr, John 2 ; Yan,Eugene 3 ; Milewski, Adam 5 ; Chouinard, Kyle 4 ; Mohsen, Fadi 41. Department <strong>of</strong> Geosciences, Western MichiganUniversity, Kalamazoo, MI, USA2. Physics, University <strong>of</strong> Colorado at Boulder, Boulder, CO,USA3. Envir<strong>on</strong>mental Sciences, Arg<strong>on</strong>ne Nati<strong>on</strong>al Laboratory,Arg<strong>on</strong>ne, IL, USA4. Computer Science, Western Michigan University,Kalamazoo, MI, USA5. Geology, University <strong>of</strong> Georgia, A<strong>the</strong>ns, GA, USAThe deviati<strong>on</strong> <strong>of</strong> <strong>the</strong> sea surface temperature (SST) from<strong>the</strong> normal in <strong>the</strong> equatorial Pacific Ocean is usuallyexpressed by <strong>the</strong> El Niño/ La Niña cycles where El Niño ischaracterized by unusually warm temperatures and La Niñaby unusually cool temperatures in <strong>the</strong> equatorial Pacific.These two cycles not <strong>on</strong>ly change <strong>the</strong> precipitati<strong>on</strong> patternsin <strong>the</strong> equatorial Pacific area but also introduce climatechange in remote areas around <strong>the</strong> World. Becauseprecipitati<strong>on</strong> anomalies could induce a signature <strong>on</strong> <strong>the</strong>mass distributi<strong>on</strong> <strong>on</strong> land, we explore <strong>the</strong> utility <strong>of</strong> GravityRecovery and Climate Experiment (GRACE) data toinvestigate <strong>the</strong> spatial and temporal distributi<strong>on</strong> <strong>of</strong> <strong>the</strong> areasaffected by El Niño / La Niña cycle. During <strong>the</strong> period fromApril 2002 to November 2010 four El Niño (5/2002-3/2003,6/2004/2/2005, 8/2006/1/2007, and 6/2009-4/2010) and twoLa Niña (9/2007-5/2008, and 7/2010- 4/2011) cycles wereidentified from Oceanic Nino Index (ONI). M<strong>on</strong>thly GRACEgravity field soluti<strong>on</strong>s (Center <strong>of</strong> Space Research [CSR]RL04) in form <strong>of</strong> Spherical Harm<strong>on</strong>ic Coefficients (SHC’s)that span <strong>the</strong> period from April 2002 through November2010 were processed (temporal mean was removed, destriped,smoo<strong>the</strong>d [250 km; Gaussian], and c<strong>on</strong>verted to 0.5x 0.5 deg. equivalent water thicknesses). A GIS platform wasused to examine <strong>the</strong> spatial and temporal variati<strong>on</strong>s inGRACE m<strong>on</strong>thly soluti<strong>on</strong>s and to compare <strong>the</strong>se variati<strong>on</strong>sto observati<strong>on</strong>s extracted from o<strong>the</strong>r relevant temporalremote sensing data sets (e.g., precipitati<strong>on</strong>, soil moisture),and geologic (e.g., geologic maps), hydrologic data(distributi<strong>on</strong> <strong>of</strong> lakes, streams, etc), and topographic data(landscape type and distributi<strong>on</strong>). Preliminary findingsindicate: (1) areas impacted by <strong>the</strong> El Niño cycle are thoseshowing c<strong>on</strong>sistent m<strong>on</strong>thly GRACE mass soluti<strong>on</strong> patternsthroughout each <strong>of</strong> identified four El Niño cycles and thoseaffected by <strong>the</strong> La Niña cycles show c<strong>on</strong>sistent patternsthroughout <strong>the</strong> two recorded La Niña cycles; and (2) climateinduced mass variati<strong>on</strong>s could be observed <strong>on</strong> sub-basinscales (e.g., source areas) in areas <strong>of</strong> high signal to noiseratios. Implicati<strong>on</strong>s for using GRACE data to evaluateimpacts <strong>of</strong> climate change <strong>on</strong> water availability over largedomains are clear.Alabi, Omowumi O.Validati<strong>on</strong> <strong>of</strong> TRMM Satellite Data in <strong>the</strong>Farmingt<strong>on</strong>/Du River Basin <strong>of</strong> LiberiaAlabi, Omowumi O. 1 ; Gar-Glahn, Eugene 21. Department <strong>of</strong> Satellite Meteorology, African Regi<strong>on</strong>alCentre for Space Science & Technology Educati<strong>on</strong>(ARCSSTE-E), Ile Ife, Nigeria2. Divisi<strong>on</strong> <strong>of</strong> Meteorology, Ministry <strong>of</strong> Transport,M<strong>on</strong>rovia, LiberiaThis research was focused <strong>on</strong> <strong>the</strong> Farmingt<strong>on</strong>/Du RiverBasin (latitude 6.4° North and l<strong>on</strong>gitude 10.4° West) locatedin Margibi county, <strong>on</strong>e <strong>of</strong> <strong>the</strong> 15 counties in Liberia. Thestudy compared <strong>the</strong> Tropical Rainfall Measuring Missi<strong>on</strong>(TRMM) Satellite derived m<strong>on</strong>thly precipitati<strong>on</strong>(TRMM3B42V6) with rain gauge data recorded at <strong>on</strong>emeteorological stati<strong>on</strong> in <strong>the</strong> Farmingt<strong>on</strong>/Du River Basin,and <strong>the</strong> possibility <strong>of</strong> using satellite estimated rainfall tocomplement ground-measured values. The m<strong>on</strong>thly rainfallcomparis<strong>on</strong>s showed that <strong>the</strong> TRMM rainfall trends werevery similar to <strong>the</strong> observed data trends. The correlati<strong>on</strong>between <strong>the</strong> m<strong>on</strong>thly datasets ranged from 0.75 to 0.98. Thetwo sets <strong>of</strong> data captured <strong>the</strong> phenomen<strong>on</strong> known as <strong>the</strong>‘little dry seas<strong>on</strong>’, characterized by an abnormal decrease inprecipitati<strong>on</strong> which occurred during <strong>the</strong> m<strong>on</strong>th <strong>of</strong> July at<strong>the</strong> peak <strong>of</strong> <strong>the</strong> rainy seas<strong>on</strong>. Although <strong>the</strong> overall catchmentrainfall was well represented by TRMM data, it was observedthat <strong>the</strong> annual ground measured values were ei<strong>the</strong>roverestimated or underestimated. TRMM’s persistentunderestimati<strong>on</strong>s which occurred from 1998 to 2004 weregenerally below 18% while <strong>the</strong> overestimati<strong>on</strong>s which wererecurrent between 2005 and 2009 were below 9%. This studyc<strong>on</strong>cluded that even though <strong>the</strong> TRMM precipitati<strong>on</strong> didnot perfectly match with <strong>the</strong> rain gauge data, it can still beused to supplement ground measurements and forestimating rainfalls in un-gauged basins. This is especiallyimportant in Liberia, a country where political instabilityresulted in <strong>the</strong> extincti<strong>on</strong> <strong>of</strong> almost all <strong>the</strong> fewmeteorological stati<strong>on</strong>s in <strong>the</strong> regi<strong>on</strong>.30

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