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

Wednesday, 17 December 2014: 1:40 PM-6:00 PM
Chairs:  Yadu N Pokhrel, Michigan State University, Department of Civil & Environmental Engineering, East Lansing, MI, United States, Iliana E Mladenova, USDA/ARS BARC-W, Bldg 007, Beltsville, MD, United States, Venkataraman Lakshmi, Univ South Carolina, Columbia, SC, United States and Bridget R Scanlon, Univ Texas Austin, Austin, TX, United States
Primary Conveners:  Iliana E Mladenova, USDA/ARS BARC-W, Bldg 007, Beltsville, MD, United States
Co-conveners:  Venkataraman Lakshmi, Univ South Carolina, Columbia, SC, United States, Yadu N Pokhrel, Michigan State University, Department of Civil & Environmental Engineering, East Lansing, MI, United States and Bridget R Scanlon, Univ Texas Austin, Austin, TX, United States
OSPA Liaisons:  Iliana E Mladenova, USDA/ARS BARC-W, Bldg 007, Beltsville, MD, United States

Abstracts Submitted to this Session:

878
 
First and Higher Order Effects on Zero Order Radiative Transfer Model
Maheshwari Neelam and Binayak Mohanty, Texas A&M University, College Station, TX, United States
879
 
Developing High-Resolution Inundation Estimates through a Downscaling of Brightness Temperature Measurements
Colby K Fisher and Eric F Wood, Princeton University, Princeton, NJ, United States
880
 
Use of vegetation index and surface temperature to estimate soil moisture in a semi-arid catchment in Brazil with limited monitoring
Tainá Martins Cunha1, Vitor Paiva Alcoforado Rebello1, Otto Correa 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)Univ South Carolina, Columbia, SC, United States
881
 
Estimating Spatial Disturbution of Surface Soil Mositure Conditions Using a Downscale Technique with Thermal Inertia Retrieved from AMSR2 Soil Moisture Products
Dai Matsushima, Chiba Institute of Technology, Chiba, Japan and Reiji Kimura, Arid Land Research Center, Tottori University, Tottori, Japan
882
 
Inter-Comparison of Soil Moisture Data Products from Satellite Remote Sensing and Land Surface Modeling
Li Fang1, Christopher Hain1, Xiwu Zhan2, Jicheng Liu2 and Martha C. Anderson3, (1)Earth System Science Interdisciplinary Center, COLLEGE PARK, MD, United States, (2)NOAA-NESDIS, College Park, MD, United States, (3)USDA ARS, Pendleton, OR, United States
883
 
Reducing Structural Uncertainty in AMSR2 Soil Moisture Using a Model Combination Approach
Seokhyeon Kim1, Yi Liu2, Fiona Johnson3, Robert Parinussa4 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)University of New South Wales, School of Civil and Environmental Engineering, Sydney, Australia, (4)VU University Amsterdam, Amsterdam, Netherlands
884
 
Soil Moisture Retrieval from Active/Passive Microwave Observation Synergy Using a Neural Network Approach
Jana Kolassa1, Pierre Gentine1, Filipe Aires1,2 and Catherine Prigent1,3, (1)Columbia University, New York, NY, United States, (2)Estellus S.A.S., Paris, France, (3)Observatoire de Paris-Meudon, Paris, France
885
 
Towards Generating Long-term AMSR-based Soil Moisture Data Record
Iliana E Mladenova, Thomas J Jackson, Rajat Bindlish and Michael H Cosh, U. S. Dept. of Agriculture, Beltsville, MD, United States
886
 
Physics-based Multi-resolution Radar-Radiometer Soil Moisture Estimation within the SMAP Mission Framework
Ruzbeh Akbar, University of Southern California, Los Angeles, CA, United States and Mahta Moghaddam, University of Southern California, The Ming Hsieh Dept. of Electr. Eng., Los Angeles, CA, United States
887
 
Analysis of Satellite Retreived Active-Passive Merged Soil Moisture Distribution: A Case Study Over India.
Aniket Chakravorty1, Bhagu Ram Chahar1, Om P Sharma2 and Dhanya C.T1, (1)Indian Institute of Technology Delhi, Civil Engineering, New Delhi, India, (2)Indian Institute of Technology Delhi, Center for Atmospheric Sciences, New Delhi, India
888
 
A Compact L-band Radiometer for High Resolution sUAS-based Imaging of Soil Moisture and Surface Salinity Variations
Maciej Stachura1, Albin John Gasiewski2, Eryan Dai2, Jack Elston1, Eric McIntyre2 and Vladimir Leuski2, (1)Organization Not Listed, Washington, DC, United States, (2)Univ of Colorado, Boulder, CO, United States
889
 
SMAP RADAR Calibration and Validation
Richard D West, Sermsak Jaruwatanadilok and Julian Chaubel, NASA Jet Propulsion Laboratory, Pasadena, CA, United States
890
 
Effective global soil profile depth and water holding capacity inferred from GRACE time-variable gravity
John T Reager II1, Min-Hui Lo2 and James S Famiglietti1,3, (1)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (2)NTU National Taiwan University, Taipei, Taiwan, (3)Univ California Irvine, Irvine, CA, United States
891
 
Remote Sensing of Soil Water Storage Capacity Using the Landsat and MODIS Image Archives
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
892
 
Why is SMOS Drier than the South Fork In-situ Soil Moisture Network?
Victoria A Walker1, Brian K Hornbuckle1 and Michael H Cosh2, (1)Iowa State Univ, Ames, IA, United States, (2)U. S. Dept. of Agriculture, Beltsville, MD, United States
893
 
Copula based merging of modelled and satellite derived soil moisture fields and hydrometeorological fluxes
Christof Lorenz, Karlsruhe Institute of Technology, Karlsruhe, Germany and Harald Kunstmann, University of Augsburg, Institute of Geography, Augsburg, Germany
894
 
Multiscale soil moisture measurements on the Southern US Great Plains: How small is too small?
Darin Desilets, Hydroinnova LLC, Albuquerque, NM, United States and Marek G Zreda, Univ Arizona, Tucson, AZ, United States
895
 
Evapotranspiration Controls Imposed by Soil Moisture: A Spatial Analysis across the United States
Angela Jean Rigden, Samuel E Tuttle and Guido Salvucci, Boston University, Earth and Environment, Boston, MA, United States
896
 
Evaporation Estimation over the Upper Blue Nile Basin By Combining Satellite Observations and River Flow Gauges
Mariam Allam1, Elfatih A B Eltahir2 and Dennis McLaughlin1, (1)Massachusetts Institute of Technology, Cambridge, MA, United States, (2)MIT, Cambridge, MA, United States
897
 
Improving Remotely-sensed Precipitation Estimates Over Mountainous Regions For Use In Hydrological Models
Ismail Yucel1, Mustafa Akcelik1 and Robert Joseph Kuligowski2, (1)Middle East Technical University, Ankara, Turkey, (2)NOAA Center for Satellite Applications and Reserch, Silver springs, United States
898
 
Novel Algorithms for Retrieval of Hydrology and Ice Regimes of Middle-sized Inland Water Bodies from Satellite Altimetry
Yuliya I. Troitskaya, Galina V. Rybushkina, Alexandra M. Kuznetsova, Georgy A. Baidakov and Irina Soustova, Institute of Applied Physics RAS, Nizhny Novgorod, Russia
899
 
Robust Lake Level Extraction in Mountainous Areas By Retracking Cryosat Sarin Mode Waveforms.
Marcel Kleinherenbrink1, Pavel Ditmar2 and Roderik Lindenbergh2, (1)Delft University of Technology, Geoscience and Remote Sensing, Delft, 5612, Netherlands, (2)Delft University of Technology, Geoscience and Remote Sensing, Delft, Netherlands
900
 
Modeling the hydrological patterns on Pantanal wetlands, Brazil
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
901
 
Calibration and Evaluation of A Semi-distributed Watershed Model of Main Part of Red River Basin Using GRACE Data
Shaowei Ning and Hiroshi Ishidaira, University of Yamanashi, Interdisciplinary Graduate School of Medicine and Engineering, Yamanashi, Japan
902
 
Variability of wet troposphere delays over inland reservoirs as simulated by a high-resolution regional climate model
Elizabeth Clark1,2 and Dennis P Lettenmaier2, (1)University of Washington Seattle Campus, Civil and Environmental Engineering, Seattle, WA, United States, (2)University of California, Los Angeles (effective Nov., 2014), Dept. of Geography, Los Angeles, CA, United States
903
 
Streamflow model of the six-country transboundary Ganges-Bhramaputra and Meghna river basin
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, Stanford University, Stanford, CA, United States and Steven Gorelick, Stanford University, Los Altos Hills, CA, United States
904
 
Water Budget in the UAE for Applications in Food Security.
Rocio Gonzalez Sanchez, Taha Ouarda, Prashanth Reddy Marpu and Simon Pearson, Masdar Institute of Science and Technology, Abu Dhabi, United Arab Emirates
905
 
Effects of deforestation and climate variability on the hydrological balance of the Xingu River Basin, Brazil
Prajjwal K Panday1, Michael Thomas Coe1, Marcia Macedo1, Andrea D de Almeida Castanho2 and Paul Lefebvre1, (1)Woods Hole Research Center, Falmouth, MA, United States, (2)UFC Federal University of Ceará, Fortaleza, Brazil
907
 
Improvement of hydrologic simulations in CLM4 by modified soil properties
Enhao Du, Alan V Di Vittorio and William Collins, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
 
See more of: Hydrology