H33B:
Evapotranspiration: Advances in In Situ Measurements and Remote Sensing Based Modeling Approaches III Posters


Session ID#: 7705

Session Description:
Evapotranspiration (ET), linking energy and the water cycles, is one of the fluxes most challenging to quantify in hydrology. Because its determination is prone to large errors, marked differences exist between various methods. This session will cover both in situ and satellite-based estimations of ET. In situ methods (lysimeters, eddy covariance, Bowen ratio, scintillometer, etc.) are essential for understanding ET processes, field verification and bias-correction of remote sensing and modelling approaches. Satellite-based estimations are important for large area ET mapping. However, sources and magnitude of bias and uncertainty tend to vary by method/hydro-climate. The scope will include (1) estimation with in situ devices: improved methods and analysis of long time-series, (2) advances in “remote sensing” using energy and water balance principles (SEBAL/METRIC, Two-Source/ALEXI, SEBS, SSEBop, MOD16, GLEAM, CMRSET, P-M/P-T based, e.t.c.), and (3) applications for a range of scales: daily, yearly, and from field-scale agriculture to basin-wide water budget studies.
Primary Convener:  Gabriel B Senay, U.S. Geological Survey Earth Resources Observation and Science (EROS) Center, EROS/North Central Climate Adaptation Science Center, Fort Collins, United States
Conveners:  Harrie-Jan Hendricks Franssen, Forschungszentrum Julich GmbH, Julich, Germany, Hongbo Su, Florida Atlantic University, Civil, Environmental & Geomatics Engineering, Boca Raton, FL, United States and Naga Manohar Velpuri, International Water Management Institute, Water Data Science & Digital Innovation, Silverton, South Africa
Chairs:  Hongbo Su, Texas A & M University Kingsville, Kingsville, TX, United States, Gabriel B Senay, USGS Earth Resources Observation and Science (EROS) Center Sioux Falls, Fort Collins, CO, United States, Harrie-Jan Hendricks Franssen, Forschungszentrum Julich GmbH, Julich, Germany and Naga Manohar Velpuri, International Water Management Institute, Water Data Science & Digital Innovation, Silverton, South Africa
OSPA Liaison:  Naga Manohar Velpuri, International Water Management Institute, Water Data Science & Digital Innovation, Silverton, South Africa

Cross-Listed:
  • B - Biogeosciences
  • GC - Global Environmental Change
  • IN - Earth and Space Science Informatics
Index Terms:

0452 Instruments and techniques [BIOGEOSCIENCES]
0480 Remote sensing [BIOGEOSCIENCES]
1818 Evapotranspiration [HYDROLOGY]
1840 Hydrometeorology [HYDROLOGY]

Abstracts Submitted to this Session:

Scale – dependent effects on the surface energy fluxes modelling in heterogeneous/complex ecosystems using the Two-Source Energy Balance (TSEB) (66224)
Ana Andreu1,2, Siyan Ma3, Joseph G Verfaillie4, María P. González-Dugo5, Stephan Hülsmann6 and Dennis D Baldocchi2, (1)United Nations University - Institute for Integrated Management of Material Fluxes and of Resources, Systems and Flux Analysis considering Global Change Assessment, Dresden, Germany, (2)University of California Berkeley, Dept of Environmental Science, Policy, & Management, Berkeley, CA, United States, (3)University of California Berkeley, Berkeley, CA, United States, (4)University of California Berkeley, Department of Environmental Science, Policy, and Management, Berkeley, CA, United States, (5)IFAPA, Natural resources and ecological agriculture, Córdoba, Spain, (6)United Nations University - Institute for Integrated Management of Material Fluxes and of Resources, Systems and Flux Analysis considering Global Change Assessment, Dresden, Germany
Cooling Effect of Evapotranspiration (ET) and ET Measurement by Thermal Remote Sensing in Urban (58528)
Guo Yu Qiu1, Bing Yang2, Xiangze Li2, Qiuping Guo2, Shenglin Tan2 and Environmental and Energy Information Enginnering, (1)Peking University Shenzhen Graduate School, Shenzhen, China, (2)PEKING UNIVERSITY, Xili, Nanshan, Shenzhen, China
Spatial Disaggregation of the 0.25-degree GLDAS Air Temperature Dataset to 30-arcsec Resolution (60913)
Lei Ji, ASRC Federal Data Solutions - Contractor to USGS Earth Resources Observation and Science (EROS) Center, Sioux Falls, United States, Gabriel B Senay, USGS Earth Resources Observation and Science (EROS) Center Sioux Falls, Fort Collins, CO, United States, James P Verdin, USGS/EROS, Boulder, CO, United States and Naga Manohar Velpuri, ASRC Federal, InuTeq, Sioux Falls, SD, United States
Comparison of Four Different Energy Balance Models for Estimating Evapotranspiration in the Midwest United States (62011)
Ramesh K Singh, Organization Not Listed, Washington, DC, United States; ASRC Federal, InuTeq, Sioux Falls, SD, United States, Gabriel B Senay, USGS Earth Resources Observation and Science (EROS) Center Sioux Falls, Fort Collins, CO, United States and James P Verdin, USGS/EROS, Boulder, CO, United States
A Satellite-Based Estimation of Evapotranspiration Using Vegetation Index-Temperature Trapezoid Concept: A Case Study in Southern Florida, U.S.A. (63696)
Ali Levent Yagci, George Mason University Fairfax, Fairfax, VA, United States; NASA Goddard Space Flight Center, Hydrological Sciences Laboratory - 617, Greenbelt, MD, United States, Joseph A Santanello Jr, NASA Goddard Space Flight Center, Code 617, Hydrological Sciences Laboratory, Greenbelt, MD, United States and John W. Jones, U.S. Geological Survey, Hydrologic Remote Sensing Branch, Kearneysville, United States
Using Canopy Reflectance and Crop Stress Index to Enhance Wheat Yield Prediction (63842)
Sara Asadi1, Hossein Zare1, Parisa Paymard2, Azam Lashkari3, Nasrin Salehnia4 and Mohammad Bannayan1, (1)Ferdowsi University of Mashhad, Agronomy, Mashhad, Iran, (2)Islamic Azad University of Mashhad, Agronomy, Mashhad, Iran, (3)Ferdowsi University of Mashhad, Agriculture, Mashhad, Iran, (4)Ferdowsi University of Mashhad, water, Mashhad, Iran
Evapotranspiration Estimates in the Mountain West Utilizing Multi-platform Remote Sensing (64754)
Kyle Randall Knipper, USDA-ARS, Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States, Terri S Hogue, Colorado School of Mines, Civil and Environmental Engineering, Golden, CO, United States and Kristie Franz, Iowa State University, Ames, IA, United States
Automation of Endmember Pixel Selection in SEBAL/METRIC Model (64812)
Nishan Bhattarai, Tufts University, Medford, MA, United States, Lindi J. Quackenbush, Department of Geography and Environmental Sustainability, Norman, United States, Jungho Im, Ulsan National Institute of Science and Technology, Ulsan, Korea, Republic of (South) and Stephen B Shaw, SUNY College of Environmental Science and Forestry, Department of Environmental Resources Engineering, Syracuse, NY, United States
An application of thermal inertia in regional evapotranspiration retrieval (68310)
Sujuan Mi, IGSNRR Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, China
Estimating Agricultural Water Use using the Operational Simplified Surface Energy Balance Evapotranspiration Estimation Method (70681)
Brandon T Forbes, USGS Arizona Water Science Center, Tucson, AZ, United States
Quantifying Uncertainties of Seasonal and Regional Evapotranspiration Estimates from Operational Simplified Surface Energy Balance Model in the Contiguous USA (74659)
Mingshi Chen, Earth Resources Observation Systems Sioux Falls, Sioux Falls, SD, United States, Gabriel B Senay, U.S. Geological Survey Earth Resources Observation and Science (EROS) Center, EROS/North Central Climate Adaptation Science Center, Fort Collins, United States, James P Verdin, U.S. Geological Survey Earth Resources Observation and Science, EROS/ North Central Climate Science Center, Fort Collins, CO, United States and Stefanie Bohms, SGT Inc., Contractor to USGS EROS Center, Sioux Falls, SD, United States
Spatiotemporal Variability in Water-carbon Flux and Water Use Efficiency Over an Agro-Ecosystem in the Changwu Tableland of the Loess Plateau, China (76498)
Xiaoyang Han1,2, Wenzhao Liu2, Tingting Ning3 and Hydro-ecology team on the Loess Plateau, (1)Chinese Academy of Sciences, Ministry of Water Resources, Institute of soil and water conservation, Yangling, China, (2)Northwest A&F University, Yangling, China, (3)University of Chinese Academy of Sciences, Beijing, China
Characterizing the Uncertainty of Vegetation Moisture Content Retrieval through Radiative Transfer Model Inversion with Landsat 8 OLI Data (83991)
Erik J. Boren1, Luigi Boschetti2 and Daniel M Johnson1, (1)University of Idaho, Moscow, ID, United States, (2)University of Idaho, Department of Forest, Rangeland and Fire Sciences, Moscow, United States
Liquid Water and Vapor Flow in Arid Soil: Comparison of Weighing Lysimeter Data with Simulations from a Process-Based Model (86319)
Markus Berli1, Jelle Dijkema2, Jeremy Koonce2, Teamrat A Ghezzehei3, Martine J van der Ploeg4 and Martinus Van Genuchten5, (1)Desert Research Institute, Division of Hydrologic Sciences, Las Vegas, United States, (2)Desert Research Institute, Las Vegas, NV, United States, (3)University of California Merced, Life and Environmental Sciences, Merced, United States, (4)Wageningen University, Wageningen, Netherlands, (5)UFRJ Federal University of Rio de Janeiro, Rio De Janeiro, Brazil

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