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

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climate and land surface unaccounted for in <strong>the</strong> presentgenerati<strong>on</strong> <strong>of</strong> models. We have analyzed century-scaleobserved annual run<strong>of</strong>f and precipitati<strong>on</strong> time-series overseveral United States Geological Survey hydrological unitscovering large forested regi<strong>on</strong>s <strong>of</strong> <strong>the</strong> Eastern United Statesnot affected by irrigati<strong>on</strong>. Both time-series exhibit a positivel<strong>on</strong>g-term trend; however, in c<strong>on</strong>trast to model results, <strong>the</strong>sehistoric data records show that <strong>the</strong> rate <strong>of</strong> precipitati<strong>on</strong>increases at roughly double <strong>the</strong> rate <strong>of</strong> run<strong>of</strong>f increase. Wec<strong>on</strong>sidered several hydrological processes to close <strong>the</strong> waterbudget and found that n<strong>on</strong>e <strong>of</strong> <strong>the</strong>se processes acting al<strong>on</strong>ecould account for <strong>the</strong> total water excess generated by <strong>the</strong>observed difference between precipitati<strong>on</strong> and run<strong>of</strong>f. Wec<strong>on</strong>clude that evaporati<strong>on</strong> has increased over <strong>the</strong> period <strong>of</strong>observati<strong>on</strong>s and show that <strong>the</strong> increasing trend inprecipitati<strong>on</strong> minus run<strong>of</strong>f is correlated to observed increasein vegetati<strong>on</strong> density based <strong>on</strong> <strong>the</strong> l<strong>on</strong>gest available globalsatellite record. The increase in vegetati<strong>on</strong> density hasimportant implicati<strong>on</strong>s for climate; it slows but does notalleviate <strong>the</strong> projected warming.Boy, Jean-PaulM<strong>on</strong>itoring surface and sub-surface mass changesin Africa using high resoluti<strong>on</strong> GRACE masc<strong>on</strong>soluti<strong>on</strong>s and altimetryBoy, Jean-Paul 1 ; Carabajal, Claudia C. 2, 3 ; Lutcke, Scott B. 2 ;Rowlands, David D. 2 ; Sabaka, Terence J. 2 ; Lemoine, FrankG. 21. IPGS (UMR 7516 CNRS-UdS), EOST, Strasbourg, France2. Planetary Geodynamics Lab., Code 698, NASA GoddardSpace Flight Center, Greenbelt, MD, USA3. Sigma Space Corporati<strong>on</strong>, Lanham, MD, USASince its launch in March 2002, Gravity Recovery AndClimate Experiment (GRACE) has recovered mass variati<strong>on</strong>sat <strong>the</strong> Earth’s surface with unprecedented temporal andspatial resoluti<strong>on</strong>. We invert directly mass variati<strong>on</strong>s from<strong>the</strong> inter-satellite K-band range rate (KBRR) data using alocalized masc<strong>on</strong> (mass c<strong>on</strong>centrati<strong>on</strong>s approach. Usingappropriate c<strong>on</strong>straints, our regi<strong>on</strong>al soluti<strong>on</strong>s allow bettertemporal (10 days) and spatial (2 degree) resoluti<strong>on</strong>s, than<strong>the</strong> classical spherical harm<strong>on</strong>ic soluti<strong>on</strong>s. We compare oursoluti<strong>on</strong>s to global and regi<strong>on</strong>al hydrology models, with aparticular emphasis <strong>on</strong> <strong>the</strong> Western Africa m<strong>on</strong>so<strong>on</strong> area,where regi<strong>on</strong>al models were produced in <strong>the</strong> c<strong>on</strong>text <strong>of</strong>ALMIP (<strong>the</strong> AMMA Land-surface Model Inter-comparis<strong>on</strong>Project). We see that GRACE also captures <strong>the</strong> currentdrought in Eastern Africa, in agreement with o<strong>the</strong>r spacederivedprecipitati<strong>on</strong> and soil-moisture measurements.Thanks to decade <strong>of</strong> radar altimetry (Topex/Poseid<strong>on</strong>, Jas<strong>on</strong>-1 & -2 or Envisat), and more recently laser altimetry(ICESat), surface water level variati<strong>on</strong>s for major lakes andreservoirs are m<strong>on</strong>itored with a few-centimeter accuracy. Wecompare our GRACE estimates <strong>of</strong> mass variati<strong>on</strong>s <strong>of</strong> majorlakes and reservoirs in Africa to estimates deduced fromaltimetry measurements. The agreement is larger whenc<strong>on</strong>tinental hydrology models, such as GLDAS (Global LandData Assimilati<strong>on</strong> System), which do not include surfacewaters and ground waters, are forward-modeled prior to <strong>the</strong>inversi<strong>on</strong> <strong>of</strong> KBRR data. Forward modeling with modelssuch as GLDAS also allows for better retrieval <strong>of</strong>groundwater changes, for example in Nor<strong>the</strong>rn Africa.Braun, AlexanderOn <strong>the</strong> Correlati<strong>on</strong> Between Glacier Melting andLake Level Change <strong>on</strong> <strong>the</strong> Tibetan Plateau fromAltimetry and GRACEBraun, Alexander 1 ; Duan, Jianbin 2 ; Cogley, Graham 4 ; Lee,Hy<strong>on</strong>gki 3 ; Shum, C. K. 21. Deptartment <strong>of</strong> Geosciences, The University <strong>of</strong> Texas atDallas, Richards<strong>on</strong>, TX, USA2. School <strong>of</strong> Earth Sciences, The Ohio State University,Columbus, OH, USA3. Civil and Envir<strong>on</strong>mental Engineering, University <strong>of</strong>Houst<strong>on</strong>, Houst<strong>on</strong>, TX, USA4. Department <strong>of</strong> Geography, Trent University,Peterborough, ON, CanadaThe Tibetan Plateau (TP) hosts about 37,000 glacierscovering a regi<strong>on</strong> <strong>of</strong> 50,000 km^2. Increasing temperaturesat a rate <strong>of</strong> 0.3 degrees Celsius per decade in <strong>the</strong> last 30 yearshave led to significant amounts <strong>of</strong> melt water with run-<strong>of</strong>finto several hundred large lakes which <strong>on</strong> average indicaterising lake levels at a rate <strong>of</strong> 0.25 m/year (Zhang et al, 2011).The Chinese Glacier Inventory lists 50,000 ice coveredpolyg<strong>on</strong>s <strong>on</strong> <strong>the</strong> TP, 4000 <strong>of</strong> those are crossed by ICESatlaser altimetry tracks, and 70 glaciers have more than 100footprints between 2003-2009. We c<strong>on</strong>duct a glacierelevati<strong>on</strong> change analysis from ICESat near-repeat tracksusing up to 19 epochs between March 2003 and October2009. Results in regi<strong>on</strong>s covered by in situ mass balanceestimates show excellent agreement with <strong>the</strong> elevati<strong>on</strong>change estimates, e.g. ice elevati<strong>on</strong>s <strong>of</strong> <strong>the</strong> Lhagu glacierchange at a rate <strong>of</strong> -0.85 m/year compared to fieldobservati<strong>on</strong>s for 4 neighboring glaciers at -0.9 m waterequivalent (Yang et al, 2008). We correlate elevati<strong>on</strong> loss withlake level change c<strong>on</strong>sidering <strong>the</strong> snow depth change,although <strong>the</strong> dry climate does not produce significant snowdepth variability. Lake levels are determined using ICESatlaser altimetry, Envisat radar altimetry, and GRACEgravimetry. The estimated c<strong>on</strong>tributi<strong>on</strong> <strong>of</strong> glacier melting tosurface water change will eventually shed light <strong>on</strong>understanding <strong>the</strong> mass change processes acting <strong>on</strong> <strong>the</strong> TPin terms <strong>of</strong> separating solid Earth, hydrosphere andcryosphere comp<strong>on</strong>ents.Brisco, BrianWetland Coherence for Water Level Estimati<strong>on</strong>Brisco, Brian 1 ; Wdowinski, Shim<strong>on</strong> 2 ; Murnaghan, Kevin 1 ;Ahern, Frank 3 ; Kaya, Shann<strong>on</strong> 11. CCRS, Ottawa, ON, Canada2. Univeristy <strong>of</strong> Miami, Miami, FL, USA3. TerreVista Earth Imaging, Cormac, ON, CanadaINSAR is a mature technology being used operati<strong>on</strong>allyfor a variety <strong>of</strong> applicati<strong>on</strong>s including volcano m<strong>on</strong>itoring,42

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