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

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$A 10 year climatology of cloud fraction and vertical distribution ...$

SMT-14SMT-15SMT-16SMT-171600h – 1900hSCT-1SCT-2SCT-3SCT-4SCT-5SCT-6SCT-7SCT-8SCT-9SCT-10SCT-11SCT-12SCT-13Karthik Nagarajan | An Observing System Simulation Experiment forEvaluating Scaling Algorithms Under Dynamic Land Cover Conditions forSoil Moisture ApplicationsEric E. Small | Sensing Vegetation Growth with Reflected GPS SignalsWilliam L. Teng | NASA Giovanni: A Tool for Visualizing, Analyzing, andInter-comparing Soil Moisture DataRussell J. Skuse | Thermophysical Characteristics of Surface Materials forMapping the Spatial Distribution of Soil Moisture in the Mojave Desertusing multi-scene ASTER TIR Remote Sensing ObservationsPoster Session II - Snow and Cold RegionsNaupaka V - VIIJuraj Parajka | MODIS Snow Cover Mapping Accuracy in Small AlpineCatchmentMatthew Sturm | Remote Sensing and Ground-based Snow Measurements:Limitations, Strengths, and Optimal BlendingAlexander Braun | On the Correlation Between Glacier Melting and LakeLevel Change on the Tibetan Plateau from Altimetry and GRACEDustin M. Schroeder | Remote Sensing of Subglacial Water Networks withIce Penetrating RadarNai-Yung C. Hsu | Satellite Remote Sensing of Snow/Ice Albedo over theHimalayasAnne W. Nolin | Vegetation and Snow: Remote Sensing and Interactionsfrom the Local to the Continental ScaleBruce F. Molnia | Global Fiducials Program Remote Sensing of the ColdRegions Terrestrial Water CycleIrina Gladkova | Seasonal snow cover of Yellowstone estimated withrestored MODIS Aqua, and MODIS Terra snow cover mapsKaren I. Mohr | Multi-scale observations and modeling of the hydrologicaldynamics of Andean peatbogsGlen E. Liston | An Improved Global Snow Classification Dataset forHydrologic ApplicationsLaura M. Hinkelman | Use of Satellite-Based Surface Radiative Fluxes toImprove Snowmelt ModelingFelix W. Landerer | Assessing water storage, winter precipitation anddischarge of Arctic drainage basins using GRACE and Global PrecipitationAnalysesDavid Selkowitz | Exploring Landsat-derived Snow Covered Area (SCA)Probability Distributions for Downscaling MODIS-derived Fractional SCA22
SCT-14SCT-15SCT-16SCT-17SCT-18SCT-191600h – 1900hPT-1PT-2PT-3PT-4PT-5PT-6PT-7PT-8PT-9PT-10Barbara M. Hauzenberger | Recent glacier changes in the Trans-AlaiMountains (Kyrgyzstan/Tajikistan) derived from remote sensing dataKarl E. Rittger | Assessment of Viewable and Canopy Adjusted Snow Coverfrom MODISJohn D. Lenters | Towards a Circum-Arctic Lakes Observation Network(CALON)Igor Appel | Improved VIIRS Snow Cover Information for Terrestrial WaterCycle ApplicationsRussell J. Qualls | Use of MODIS Snow-Covered-Area to DevelopHistorical, Current and Future Snow Depletion Curves for SnowmeltRunoff ModelingBaike Xi | AN EVALUATION AND INTERCOMPARISON OF CLOUDFRACTION AND RADIATIVE FLUXES IN RECENT ATMOSPHERICREANALYSES OVER ARCTIC CYCLE BY USING SATELLITEOBSERVATIONSPoster Session II - PrecipitationNaupaka V - VIIJayaluxmi Indu | RAIN/NO RAIN CLASSIFICATION OVER TROPICALREGIONS USING TRMM TMIGeorge J. Huffman | Upgrades to the Real-Time TMPALuigi J. Renzullo | An on-going intercomparison of near real-time blendedsatellite-gauge precipitation estimates for AustraliaAlfredo R. Huete | Shifts in Rainfall Use Efficiency and PrimaryProduction along a Savanna Aridity Gradient Assessed Using Satellite andFlux Tower Time Series DataBin Xu | Hourly Gauge-satellite Merged Precipitation Analysis over ChinaAhoro Adachi | Rainfall estimation and detection of hazardous convectivecells with a dual-polarized C-band radarSeyed Z. Hosseini | Relationship between terrestrial vegetation dynamicand precipitation using remote sensing and geostatistics in an aridecosystemShoichi Shige | Improvement of rainfall retrieval for passive microwaveradiometer over the mountain areasLina M. Castro | Assessment of TRMM Multi-satellite PrecipitationAnalysis (TMPA) in the South of Chile’s Andes MountainsMarielle Gosset | The Megha-Tropiques Mission23
Page 5 and 6: SCIENTIFIC PROGRAMSUNDAY, 19 FEBRUA
Page 7 and 8: 1600h - 1900hMM-1MM-2MM-3MM-4MM-5MM
Page 9 and 10: GM-7GM-8GM-9GM-10GM-11GM-12GM-13160
Page 11 and 12: EM-25EM-26EM-27EM-28EM-29EM-301600h
Page 13 and 14: SMM-8SMM-9SMM-10SMM-11SMM-12SMM-13S
Page 15 and 16: SCM-24SCM-251600h - 1900hPM-1PM-2PM
Page 17 and 18: 1030h - 1200h1030h - 1200h1030h - 1
Page 19 and 20: ET-13ET-14ET-15ET-16ET-17ET-18ET-19
Page 21: SWT-19SWT-201600h - 1900hSMT-1SMT-2
Page 25 and 26: MT-2MT-3MT-4MT-5MT-6MT-7MT-8MT-9MT-
Page 27 and 28: 1330h - 1530h1530h - 1600h1600h - 1
Page 29 and 30: esilience to hydrological hazards a
Page 31 and 32: Alfieri, Joseph G.The Factors Influ
Page 33 and 34: Montana and Oregon. Other applicati
Page 35 and 36: accuracy of snow derivation from si
Page 37 and 38: seasonal trends, and integrate clou
Page 40 and 41: a single mission, the phrase “nea
Page 42 and 43: climate and land surface unaccounte
Page 44 and 45: esolution lidar-derived DEM was com
Page 46 and 47: further verified that even for conv
Page 48 and 49: underway and its utility can be ass
Page 50 and 51: Courault, DominiqueAssessment of mo
Page 52 and 53: used three Landsat-5 TM images (05/
Page 55: storage change solutions in the for
Page 59 and 60: Famiglietti, James S.Getting Real A
Page 61 and 62: can be thought of as operating in t
Page 63 and 64: mission and will address the follow
Page 65 and 66: Gan, Thian Y.Soil Moisture Retrieva
Page 67 and 68: match the two sets of estimates. Th
Page 69 and 70: producing CGF snow cover products.
Page 71 and 72: performance of the AWRA-L model for
Page 73 and 74:
oth local and regional hydrology. T
Page 75 and 76:
Euphorbia heterandena, and Echinops
Page 77 and 78:
the effectiveness of this calibrati
Page 79 and 80:
presents challenges to the validati
Page 81 and 82:
long period time (1976-2010) was co
Page 83 and 84:
has more improved resolution ( ) to
Page 85 and 86:
in the flow over the floodplain ari
Page 87 and 88:
fraction of the fresh water resourc
Page 89 and 90:
to determine the source of the wate
Page 91 and 92:
hydrologists, was initially assigne
Page 93 and 94:
Sturm et al. (1995) introduced a se
Page 95 and 96:
calendar day are then truncated and
Page 97 and 98:
climate associated with hydrologica
Page 99 and 100:
California Institute of Technology
Page 101 and 102:
egion in Northern California that i
Page 103 and 104:
Moller, DelwynTopographic Mapping o
Page 105 and 106:
obtained from the Fifth Microwave W
Page 107 and 108:
a constraint that is observed spati
Page 109 and 110:
groundwater degradation, seawater i
Page 111 and 112:
approach to estimate soil water con
Page 113 and 114:
Norouzi, HamidrezaLand Surface Char
Page 115 and 116:
Painter, Thomas H.The JPL Airborne
Page 117 and 118:
Pavelsky, Tamlin M.Continuous River
Page 119 and 120:
interferometric synthetic aperture
Page 121 and 122:
elevant satellite missions, such as
Page 123 and 124:
support decision-making related to
Page 125 and 126:
oth the quantification of human wat
Page 127 and 128:
parameter inversion of the time inv
Page 129 and 130:
ground-based observational forcing
Page 131 and 132:
Selkowitz, DavidExploring Landsat-d
Page 133 and 134:
Shahroudi, NargesMicrowave Emissivi
Page 135 and 136:
well as subsurface hydrological con
Page 137 and 138:
Sturm, MatthewRemote Sensing and Gr
Page 139 and 140:
Sutanudjaja, Edwin H.Using space-bo
Page 141 and 142:
which can be monitored as an indica
Page 143 and 144:
tools and methods to address one of
Page 145 and 146:
Vanderjagt, Benjamin J.How sub-pixe
Page 147 and 148:
Vila, Daniel A.Satellite Rainfall R
Page 149 and 150:
and landuse sustainability. In this
Page 151 and 152:
e very significant as seepage occur
Page 153 and 154:
Wood, Eric F.Challenges in Developi
Page 155 and 156:
Xie, PingpingGauge - Satellite Merg
Page 157 and 158:
Yebra, MartaRemote sensing canopy c
Page 159 and 160:
used. PIHM has ability to simulate
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