EP43E:
Soil State Characteristics: From Observations to Data Assimilation and Modeling II

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Session ID#: 17762

Session Description:
Soil state characteristics provide crucial input for land surface interactions, hydrologic processes, boundary layer meteorology, mobility models, and climate. Recently, there has been increased monitoring/mapping of large-scale soil state characteristics. The state-of-the-art in soil moisture sensing at various spatio-temporal scales is ever changing (e.g. TDR, COSMOS, DTS, SMOS, MODIS, SMAP). Data assimilation of soil moisture and inclusion of soil state characteristics in forecast modeling data present significant challenges due to the variability in observations, observation types, and uncertainty associated with observations. Further challenges arise due to the mathematical and computational stability of the forecast models observations are drawn into. This session addresses current research on soil state characteristics from observations to data assimilation to impacts on forecast model output. Acceptable topics: advances in in situ, proximal, and remote sensing techniques, polysaccharide content in soil crust, HPC for data assimilation or modeling, V&V for spatio-temporally varying data.
Primary Convener:  Laura Clemente-Harding, Pennsylvania State University Main Campus, University Park, PA, United States; US Army Corps of Engineers Geospatial Research Laboratory, Alexandria, VA, United States
Conveners:  Andmorgan Fisher, US Army Corps of Engineers Geospatial Research Laboratory, Alexandria, VA, United States; George Mason University Fairfax, Fairfax, VA, United States and Michael Lewis, George Mason University Fairfax, Fairfax, VA, United States; US Army Corps of Engineers Geospatial Research Laboratory, Alexandria, VA, United States
Chairs:  Andmorgan Fisher1,2, Michael Lewis1,2 and Laura Clemente-Harding1,3, (1)US Army Corps of Engineers Geospatial Research Laboratory, Alexandria, VA, United States(2)George Mason University Fairfax, Fairfax, VA, United States(3)Pennsylvania State University Main Campus, University Park, PA, United States
OSPA Liaison:  Laura Clemente-Harding, Pennsylvania State University Main Campus, University Park, PA, United States; US Army Corps of Engineers Geospatial Research Laboratory, Alexandria, VA, United States
Co-Organized with:
Hydrology, Global Environmental Change, Hydrology, Biogeosciences, and Atmospheric Sciences

Cross-Listed:
  • A - Atmospheric Sciences
  • B - Biogeosciences
  • GC - Global Environmental Change
  • H - Hydrology

Proposed Co-Organized Session with:
  • A - Atmospheric Sciences
  • B - Biogeosciences
  • GC - Global Environmental Change
  • H - Hydrology
Index Terms:

0486 Soils/pedology [BIOGEOSCIENCES]
1640 Remote sensing [GLOBAL CHANGE]
1866 Soil moisture [HYDROLOGY]
3322 Land/atmosphere interactions [ATMOSPHERIC PROCESSES]

Abstracts Submitted to this Session:

Design of multiscale soil water content monitoring networks (Invited) (120856)
Trenton E Franz, University of Nebraska Lincoln, School of Natural Resources, Lincoln, United States
Advances in Measuring Soil Moisture using Global Navigation Satellite Systems Interferometric Reflectometry (GNSS-IR) (188939)
Angelyn W Moore1, Eric E Small2, Susan E Owen3, Sean H Hardman3, Cynthia Wong3, Dana Jean Freeborn4 and Kristine M Larson5, (1)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (2)University of Colorado at Boulder, Department of Geological Sciences, Boulder, United States, (3)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (4)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (5)Univ of Colorado Boulder, Boulder, CO, United States
Analysis of in situ resources for the Soil Moisture Active Passive Validation Experiments in 2015 and 2016 (168597)
Michael H Cosh1, Thomas J Jackson2, Andreas Colliander3, Rajat Bindlish4, Lynn McKee5, David C Goodrich6, John H Prueger5, Brian K Hornbuckle7, Evan J Coopersmith8, Chandra Holifield Collins6 and John Smith9, (1)U.S. Department of Agriculture ARS, Hydrology and Remote Sensing Laboratory, Beltsville, United States, (2)USDA ARS, Pendleton, OR, United States, (3)NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (4)Science Systems and Applications, Inc., Lanham, MD, United States, (5)USDA ARS, Beltsville, MD, United States, (6)USDA-ARS Southwest Watershed Research Center, Tucson, United States, (7)Iowa State University, Ames, IA, United States, (8)USDA Beltsville Agricultural Research Center, Beltsville, MD, United States, (9)Agricultural Research Service Tucson, Tucson, AZ, United States
SMOS and AMSR-2 soil moisture evaluation using representative monitoring sites in southern Australia (167215)
Mei Sun Mei Sun1, Jeffrey P Walker2, Christoph Rudiger1, Robert Parinussa3, Toshio Koike4 and Yann H Kerr5, (1)Monash University, Melbourne, VIC, Australia, (2)Monash University, Department of Civil Engineering, Clayton, VIC, Australia, (3)University of New South Wales, Sydney, NSW, Australia, (4)University of Tokyo, Bunkyo-ku, Japan, (5)CNES French National Center for Space Studies, Toulouse Cedex 09, France
Making Soil Moisture Sensors Better for Hydroclimatic Applications (185187)
Chen Xu1, Ke Zhang2, Emad Hasan3, Yang Hong1 and Hydrometeorology and Remote Sensing Laboratory at the University of Oklahoma, (1)University of Oklahoma Norman Campus, Department of Civil Engineering and Environmental Sciences, Norman, OK, United States, (2)The University of Oklahoma, CIMMS, Norman, OK, United States, (3)SUNY at Binghamton, HyDROS (University of Oklahoma), Binghamton, United States
Optimal Precipitation Merging to improve Soil Moisture Modeling (Invited) (185882)
Paul Raymond Houser, George Mason University Fairfax, Fairfax, VA, United States, Viviana Maggioni, George Mason University Fairfax, Sid and Reva Dewberry Department of Civil, Environmental, and Infrastructure Engineering, Fairfax, VA, United States and Abheera Hazra, NASA Goddard Space Flight Center, Greenbelt, United States
On the Comparison of the Global Surface Soil Moisture product and Land Surface Modeling (200044)
Bertrand Delorme1, Catherine Ottlé2, Philippe Peylin1 and Jan Polcher3, (1)LSCE Laboratoire des Sciences du Climat et de l'Environnement, Gif-Sur-Yvette Cedex, France, (2)CEA Saclay DSM / LSCE, Gif sur Yvette, France, (3)CNRS/IPSL, Laboratoire de Météorologie Dynamique (LMD), Paris, France
Impacts of Potential Evapotranspiration and Precipitation Patterns on Downscaling Soil Moisture in Regions with Large Topographic Relief (142184)
Jeffrey D Niemann, Colorado State University, Department of Civil and Environmental Engineering, Fort Collins, United States, Garret S. Cowley, Colorado State University, Fort Collins, CO, United States, Timothy R Green, USDA ARS, Pendleton, OR, United States, Mark S Seyfried, USDA-ARS, Northwest Watershed Research Center, Boise, United States, Andrew S Jones, Colorado State University, Cooperative Institute for Research in the Atmosphere, Fort Collins, CO, United States and Peter J Grazaitis, U.S. Army Research, Development, and Engineering Command, Army Research Laboratory, Adelphi, MD, United States

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