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

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

SCM-8SCM-9SCM-10SCM-11SCM-12Anne Walker | Airborne and Ground-Based Passive Microwave RadiometerField Campaigns for the Development and Validation of new SatelliteDerived Snow DatasetsAnne Walker | Spring thaw detection from satellite active and passivemicrowave measurementsAndrés Varhola | Combining Coordinate-Transformed Airborne LiDARand LANDSAT Indices to Obtain Forest Structure Metrics Relevant toDistributed Hydrologic ModelingAnne E. Walker | Canadian Advancements in Characterizing High LatitudeSnow Cover Properties Using Satellite DataMelody Sandells | Can simpler models reproduce the snow temperaturegradients of many-layered models for remote sensing of snow mass? ASNOWMIP2 intercomparisonSCM-13 Thian Y. Gan | Changes in North American Snow packs for 1979-2004Detected from the Snow Water Equivalent data of SMMR and SSM/IPassive Microwave and related Climatic FactorsSCM-14SCM-15SCM-16SCM-17SCM-18SCM-19SCM-20SCM-21SCM-22SCM-23Kathryn A. Semmens | Remote Sensing of Snowmelt - Understanding aChanging (and Melting) FutureMichael T. Durand | Snow microstructure and passive microwave remotesensing of snow: Field experiments at Storm Peak Laboratory, Colorado,USANarges Shahroudi | Microwave Emissivities of Land Surfaces: Detection ofSnow over Different Surface TypesBenjamin J. Vanderjagt | How sub-pixel snow depth, vegetation, and grainsize variability affect the ability to estimate large-scale SWE frommicrowave measurements in alpine areasSusan Frankenstein | Using microwave remote sensing to determinepatterns of swe and melt timing in remote environmentsNoah P. Molotch | Remote Sensing of the Mountain Snowpack:Integration of Observations and Models to Support Water ResourceManagement and Ecosystem ScienceJeffrey S. Deems | LiDAR for snow depth mapping: overview, error sources,and snow as a laser targetEdward Kim | Multilayer Snow Microwave Model Intercomparisons andScale Implications for Future Snow MissionsPeter B. Kirchner | Measuring under-canopy snow accumulation withairborne scanning LiDAR altimetry and in-situ instrumentalmeasurements, southern Sierra Nevada, CaliforniaKazuyo Murazaki | Discrimination Between Rain and Snow in Japan Withan Operational Conventional C-band Radar Network14
SCM-24SCM-251600h – 1900hPM-1PM-2PM-3PM-4PM-5PM-6PM-7PM-8PM-9PM-10PM-11PM-12Hiroshi Ishimoto | Microwave Scattering Properties of Complex ShapedSnowflakesThomas Painter | The JPL Airborne Snow Observatory: Cutting edgetechnology for snow hydrology and water managementPoster Session I - PrecipitationNaupaka V - VIIAbebe S. Gebregiorgis | Characterizing Satellite Rainfall Errors based onLand Use and Land Cover and Tracing Error Source in Hydrologic ModelSimulationTristan S. L’Ecuyer | The Role of Spaceborne Cloud Radars in TerrestrialHydrologyBin Yong | Evolving TRMM-based Multi-satellite Real-Time PrecipitationEstimation Methods: Their Impacts on Hydrologic Prediction Using theVariable Infiltration Capacity Model in a High Latitude BasinVincent Fortin | Improving the Canadian Precipitation Analysis (CaPA)Over the Laurentian Great Lakes Through Data Assimilation of RadarReflectivity and GOES ImageryMatthew D. Lebsock | The Complementary Role of Observations of LightRainfall from CloudSatAmila S. Ratnayake | GIS-based hydrological predictions and estimationsof hydropower potential: Implications for flood risk mitigation at GinRiver, Sri LankaOmowumi O. Alabi | Validation of TRMM Satellite Data in theFarmington/Du River Basin of LiberiaJaya kumar A | Role of El Niño in Modulating the Period of PrecipitationVariability of Asian Summer Monsoon Using Satellite ObservationsRobert F. Adler | Status and Future of a Real-time Global Flood andLandslide Estimation System Using Satellite Rainfall Information andHydrological ModelsQi Chen | Using Bayesian Methods to Fuse Data from Multiple Sources(Raingages, Radar, Meteorological Model, PRISM maps, and VegetationAnalysis) for Mapping Rainfall in the State of HawaiiShaun Lovejoy | The Space-time variability of precipitation frommillimeters to planetary scales, from hours to centuries: emergent laws andmultifractal cascadesJay Mace | A new instrument for high-speed, high resolution stereoscopicphotography of falling hydrometeors with simultaneous measurement offallspeed15
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: SMM-8SMM-9SMM-10SMM-11SMM-12SMM-13S
Page 17 and 18: 1030h - 1200h1030h - 1200h1030h - 1
Page 19 and 20: ET-13ET-14ET-15ET-16ET-17ET-18ET-19
Page 21 and 22: SWT-19SWT-201600h - 1900hSMT-1SMT-2
Page 23 and 24: SCT-14SCT-15SCT-16SCT-17SCT-18SCT-1
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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