H33F:
Remote Sensing and Modeling of the Terrestrial Water Cycle IV Posters

Session ID#: 1793

Wednesday, 17 December 2014: 1:40 PM-6:00 PM
Not an Option (Moscone West)
Chairs:  Dr. Yadu Pokhrel, Michigan State University, Department of Civil and Environmental Engineering, East Lansing, MI, United States, Iliana E Mladenova, USDA/ARS BARC-W, Bldg 007, Beltsville, MD, United States, Venkataraman Lakshmi, University of Virginia, Civil and Environmental Engineering, Charlottesville, VA, United States and Bridget R Scanlon, University of Texas at Austin, Bureau of Economic Geology, Jackson School of Geosciences, Austin, United States
Primary Convener:  Iliana E Mladenova, USDA/ARS BARC-W, Bldg 007, Beltsville, MD, United States
Co-conveners:  Venkataraman Lakshmi, University of Virginia, Civil and Environmental Engineering, Charlottesville, VA, United States, Dr. Yadu Pokhrel, Michigan State University, Department of Civil and Environmental Engineering, East Lansing, MI, United States and Bridget R Scanlon, University of Texas at Austin, Bureau of Economic Geology, Jackson School of Geosciences, Austin, United States
OSPA Liaison:  Iliana E Mladenova, USDA/ARS BARC-W, Bldg 007, Beltsville, MD, United States
Co-Sponsor(s):
  • A - Atmospheric Sciences
  • B - Biogeosciences
  • GC - Global Environmental Change
Index Terms:
Virtual Option?: No

Abstracts Submitted to this Session:

 
Understanding regional variations in TWS in Eurasia using GRACE time variable gravity data and CLM 4.5 output products (28710)
Meng Zhao, University of California Irvine, Irvine, CA, United States, Isabella Velicogna, Department of Earth System Science, University of California Irvine, Irvine, United States, Sean C Swenson, NSF National Center for Atmospheric Research, Boulder, United States and John S Kimball, University of Montana, Numerical Terradynamic Simulation Group, Missoula, United States
 
First and Higher Order Effects on Zero Order Radiative Transfer Model (16890)
Maheshwari Neelam, Texas A&M University, College Station, TX, United States and Binayak Mohanty, Texas A&M University, Department of Biological and Agricultural Engineering, College Station, United States
 
Developing High-Resolution Inundation Estimates through a Downscaling of Brightness Temperature Measurements (17901)
Colby K Fisher, Princeton Climate Analytics, Princeton, United States and Eric F Wood, Princeton University, Civil and Environmental Engineering, Princeton, NJ, United States
 
Use of vegetation index and surface temperature to estimate soil moisture in a semi-arid catchment in Brazil with limited monitoring (11777)
Tainá Martins1, Vitor Rebello1, Otto Corrêa Rotunno Filho1, Maria Claudia Barbosa1, Mariza Ramalho Franklin2 and Venkataraman Lakshmi3, (1)UFRJ Federal University of Rio de Janeiro, Rio De Janeiro, Brazil, (2)Institute for Radiation Protection and Dosimetry, Rio de Janeiro, Brazil, (3)University of Virginia, Civil and Environmental Engineering, Charlottesville, VA, United States
 
Estimating Spatial Disturbution of Surface Soil Mositure Conditions Using a Downscale Technique with Thermal Inertia Retrieved from AMSR2 Soil Moisture Products (8395)
Dai Matsushima, Chiba Institute of Technology, Chiba, Japan and Reiji Kimura, Arid Land Research Center, Tottori University, Tottori, Japan
 
Inter-Comparison of Soil Moisture Data Products from Satellite Remote Sensing and Land Surface Modeling (9431)
Li Fang, Earth System Science Interdisciplinary Center, College PARK, United States, Christopher Hain, NASA Marshall Space Flight Center, Huntsville, AL, United States, Xiwu Zhan, NOAA/NESDIS/STAR, Riverdale Park, MD, United States, Jicheng Liu, NOAA/NESDIS/STAR, College Park, United States and Martha Anderson, USDA Agricultural Research Service, Hydrology and Remote Sensing Laboratory, Beltsville, United States
 
Reducing Structural Uncertainty in AMSR2 Soil Moisture Using a Model Combination Approach (11729)
Seokhyeon Kim1, Yi Liu2, Fiona Johnson1, Robert Parinussa3 and Ashish Sharma1, (1)University of New South Wales, School of Civil and Environmental Engineering, Sydney, NSW, Australia, (2)ARC Centre of Excellence for Climate Systems Science & Climate Change Research Centre, University of New South Wales, Sydney, Australia, (3)VU University Amsterdam, Amsterdam, Netherlands
 
Soil Moisture Retrieval from Active/Passive Microwave Observation Synergy Using a Neural Network Approach (9333)
Jana Kolassa1, Pierre Gentine2, Filipe Aires3,4 and Catherine Prigent4,5, (1)Science Systems and Applications, Inc., Lanham, United States, (2)Columbia University, Department of Earth and Environmental Engineering, New York, United States, (3)Estellus S.A.S., Paris, France, (4)Columbia University, New York, NY, United States, (5)Observatoire de Paris-Meudon, Paris, France
 
Towards Generating Long-term AMSR-based Soil Moisture Data Record (16076)
Iliana E Mladenova1, Thomas J Jackson1, Rajat Bindlish1 and Michael H Cosh2, (1)U. S. Dept. of Agriculture, Beltsville, MD, United States, (2)USDA ARS, Hydrology and Remote Sensing Laboratory, Beltsville, United States
 
Physics-based Multi-resolution Radar-Radiometer Soil Moisture Estimation within the SMAP Mission Framework (18252)
Ruzbeh Akbar and Mahta Moghaddam, University of Southern California, Los Angeles, CA, United States
 
Analysis of Satellite Retreived Active-Passive Merged Soil Moisture Distribution: A Case Study Over India. (21965)
Aniket Chakravorty, Indian Institute of Technology Delhi, Civil Engineering, New Delhi, India, Bhagu Ram Chahar, Indian Institute of Technology Delhi, Department of Civil & Environmental Engineering, New Delhi, India, Om P Sharma, Indian Institute of Technology Delhi, Center for Atmospheric Sciences, New Delhi, India and C. T. Dhanya, Indian Institute of Technology Delhi, Department of Civil Engineering, New Delhi, India
 
A Compact L-band Radiometer for High Resolution sUAS-based Imaging of Soil Moisture and Surface Salinity Variations (25554)
Maciej Stachura1, Albin John Gasiewski2, Eryan Dai3, Jack Steward Elston4, Eric McIntyre2 and Vladimir Leuski2, (1)Organization Not Listed, Washington, DC, United States, (2)Univ of Colorado, Boulder, CO, United States, (3)The Soil Moisture Company, Boulder, United States, (4)Black Swift Technologies, Boulder, United States
 
Remote Sensing of Soil Water Storage Capacity Using the Landsat and MODIS Image Archives (28465)
Jan M H Hendrickx1, Todd Umstot2, John L Wilson3, Rick Allen4 and Ricardo Trezza4, (1)New Mexico Inst Mining & Tech, Socorro, NM, United States, (2)Daniel B Stephens & Assoc Inc, Albuquerque, NM, United States, (3)New Mexico Tech, Socorro, NM, United States, (4)University of Idaho, Department of Biological and Agricultural Engineering, Moscow, ID, United States
 
Why is SMOS Drier than the South Fork In-situ Soil Moisture Network? (29411)
Victoria A Walker, Iowa State Univ, Ames, IA, United States, Brian K Hornbuckle, Iowa State University, Ames, IA, United States and Michael H Cosh, USDA ARS, Hydrology and Remote Sensing Laboratory, Beltsville, United States
 
Copula based merging of modelled and satellite derived soil moisture fields and hydrometeorological fluxes (29444)
Christof Lorenz, Karlsruhe Institute of Technology, Karlsruhe, Germany and Harald Kunstmann, Augsburg University, Institute of Geography, Augsburg, Germany
 
Multiscale soil moisture measurements on the Southern US Great Plains: How small is too small? (31717)
Darin Desilets, Hydroinnova LLC, Albuquerque, NM, United States and Marek G Zreda, Univ Arizona, Tucson, AZ, United States
 
Evapotranspiration Controls Imposed by Soil Moisture: A Spatial Analysis across the United States (22866)
Angela Jean Rigden, University of California Irvine, Earth System Science, Irvine, United States, Samuel E Tuttle, Boston University, Earth and Environment, Boston, MA, United States and Guido Salvucci, Boston University, Department of Earth and Environment, Boston, MA, United States
 
Evaporation Estimation over the Upper Blue Nile Basin By Combining Satellite Observations and River Flow Gauges (7428)
Mariam Allam1, Elfatih A B Eltahir1 and Dennis McLaughlin2, (1)Massachusetts Institute of Technology, Cambridge, MA, United States, (2)Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, Cambridge, MA, United States
 
Improving Remotely-sensed Precipitation Estimates Over Mountainous Regions For Use In Hydrological Models (15703)
Ismail Yucel, Middle East Technical University, Department Of Civil Engineering, Ankara, Turkey, Mustafa Akcelik, Middle East Technical University, Ankara, Turkey and Robert Joseph Kuligowski, NOAA Center for Satellite Applications and Reserch, Silver springs, United States
 
Novel Algorithms for Retrieval of Hydrology and Ice Regimes of Middle-sized Inland Water Bodies from Satellite Altimetry (29078)
Yuliya I. Troitskaya, Galina V. Rybushkina, Alexandra M. Kuznetsova, Georgy A. Baidakov and Irina Soustova, Institute of Applied Physics RAS, Nizhny Novgorod, Russia
 
Robust Lake Level Extraction in Mountainous Areas By Retracking Cryosat Sarin Mode Waveforms. (5099)
Marcel Kleinherenbrink, Pavel Ditmar and Roderik Lindenbergh, Delft University of Technology, Geoscience and Remote Sensing, Delft, Netherlands
 
Modeling the hydrological patterns on Pantanal wetlands, Brazil (25489)
Aline Anderson Castro1, Adriana Cuartas1, Michael Thomas Coe2, Adriana Koumrouyan1, Prajjwal K Panday2, Paul Lefebvre2, Carlos Padovani3, Marcos Heil Costa4 and Gilvan Sampaio de Oliveira1, (1)INPE National Institute for Space Research, Sao Jose dos Campos, Brazil, (2)Woods Hole Research Center, Falmouth, MA, United States, (3)EMBRAPA Pantanal, Corumbá, Brazil, (4)UFV Federal University of Vicosa, Vicosa, Brazil
 
Calibration and Evaluation of A Semi-distributed Watershed Model of Main Part of Red River Basin Using GRACE Data (20441)
Shaowei Ning and Hiroshi Ishidaira, University of Yamanashi, Interdisciplinary Graduate School of Medicine and Engineering, Yamanashi, Japan
 
Variability of wet troposphere delays over inland reservoirs as simulated by a high-resolution regional climate model (13104)
Elizabeth Clark, University of Washington Seattle Campus, Civil and Environmental Engineering, Seattle, WA, United States; University of California, Los Angeles (effective Nov., 2014), Dept. of Geography, Los Angeles, CA, United States and Dennis P Lettenmaier, University of California, Los Angeles, Los Angeles, CA, United States
 
Streamflow model of the six-country transboundary Ganges-Bhramaputra and Meghna river basin (19589)
Kazi Rahman, Stanford University, Environmental Earth System Science, Stanford, CA, United States, Anthony Lehmann, University of Geneva, Environmental Science, Geneva, Switzerland, P James Dennedy-Frank, Northeastern University, Marine and Environmental Sciences, Coastal Sustainability Institute, Boston, MA, United States, Steven M Gorelick, Stanford University, Stanford Woods Institute for the Environment, Stanford, United States and Hydrology
 
Water Budget in the UAE for Applications in Food Security. (11586)
Rocio Gonzalez Sanchez1, Taha Ouarda1, Prashanth Reddy Marpu2 and Simon Pearson1, (1)Masdar Institute of Science and Technology, Abu Dhabi, United Arab Emirates, (2)Masdar Institute, Khalifa University of Science and Technology, Electrical and Computer Engineering, Abu Dhabi, United Arab Emirates
 
Effects of deforestation and climate variability on the hydrological balance of the Xingu River Basin, Brazil (12807)
Prajjwal K Panday1, Michael Thomas Coe1, Marcia Macedo2, Andrea D de Almeida Castanho3 and Paul Lefebvre1, (1)Woods Hole Research Center, Falmouth, MA, United States, (2)Woodwell Climate Research Center, Falmouth, United States, (3)UFC Federal University of Ceará, Fortaleza, Brazil
 
Incorporating Satellite Remote Sensing Data into Hydrologic Models: Towards Improved Performance in Modeling the Past and Reduced Uncertainty in Predicting the Future (8625)
Dana Parr, University of Connecticut, Groton, CT, United States and Guiling Wang, University of Connecticut, School of Civil and Environmental Engineering, Groton, CT, United States
 
Improvement of hydrologic simulations in CLM4 by modified soil properties (13391)
Enhao Du1, Alan V Di Vittorio1 and William Drew Collins2, (1)Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (2)Lawrence Berkeley National Laboratory, Earth and Environmental Science, Berkeley, United States
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