B108
Surface-Atmosphere Interactions: Latest Developments and Emerging Approaches for Ecosystem Flux Data Analysis
Session ID#: 77030
Session Description:
Over 2100 flux stations collected data in the past, and 700 are presently operational and part of regional and national networks that cover large portions of the globe. The accumulation of such a wealth of ecological data was accompanied by the recent developments of new advanced routines, tools, codes, and software for flux data collection, processing, and analysis. This offers unprecedented analytical power to the flux community and resulted in the development of multiple methods for data quality control, fingerprint-based gap filling, calculation of heterogeneity-corrected budgets and space-time resolved storage and advection fluxes, among many others.
This session focuses on the latest developments in data analysis and information discovery in flux science, and is designed to bring together everyone who has recently developed new tools and approaches that utilize the latest in flux methodologies. We especially welcome submissions that present emerging methodological advancements and novel approaches to flux data interpretation.
Co-Organized:
Index Terms:
0426 Biosphere/atmosphere interactions [BIOGEOSCIENCES]
0430 Computational methods and data processing [BIOGEOSCIENCES]
3315 Data assimilation [ATMOSPHERIC PROCESSES]
3322 Land/atmosphere interactions [ATMOSPHERIC PROCESSES]
Primary Convener: Anne Griebel, Western Sydney University, Hawkesbury Institute for the Environment, Richmond, NSW, Australia
Conveners: George G Burba, LI-COR Biosciences, Lincoln, NE, United States, Stefan Metzger, National Ecological Observatory Network Program, Battelle, Boulder, CO, United States and Gilberto Pastorello, Lawrence Berkeley National Lab, Berkeley, CA, United States
Primary Liaison: Anne Griebel, Western Sydney University, Hawkesbury Institute for the Environment, Richmond, NSW, Australia
Water and Carbon Dioxide Exchange of an Alpine Meadow Ecosystem in the Northeastern Tibetan Plateau (493560)
Shaobo Sun1, Tao Che2, Hongyi Li3, Chunfeng Ma4 and Zhaoliang Song1, (1)Tianjin University, Institute of Surface-Earth System Science of Tianjin University, Tianjin, China, (2)Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China, (3)Chinese Academy of Sciences, Beijing, China, (4)King Abdullah University of Science and Technology, WDRC, Thuwal, Saudi Arabia
Application of an LES-based surface energy fluxes correction model: options to correct local turbulent flux measurements for non-measured landscape-scale fluxes (504948)
Matthias Mauder, Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research, Atmospheric Environmental Research (IMK-IFU), Garmisch-Partenkirchen, Germany, Andreas Ibrom, Technical University of Denmark, Department of Environmental Engineering, Copenhagen, Denmark, Frederik De Roo, Norwegian Meteorological Institute, Oslo, Norway and Kim Pilegaard, Technical University of Denmark, Lyngby, Denmark
Leveraging Broad-ranging Collaborations for a More Effective Flux Science (517519)
Gerardo Fratini, Israel Begashaw, Frank Griessbaum, James C Kathilankal, David Johnson, Lynn Woodford, Mong-Kuen Sun, Nick Franken, April Parkison and George G Burba, LI-COR Biosciences, Lincoln, NE, United States
Detecting hotspots of methane emissions in wetlands through eddy-covariance measurements and footprint modelling (520463)
Camilo Rey Sanchez1, Joseph G Verfaillie2, Daphne J. Szutu3, Kyaw Tha Paw U4 and Dennis D Baldocchi2, (1)University of California Berkeley, Berkeley, OH, United States, (2)University of California Berkeley, Department of Environmental Science, Policy, and Management, Berkeley, CA, United States, (3)University of Arizona, Tucson, AZ, United States, (4)University of California Davis, Davis, CA, United States
Flux-Variance Similarity Partitioning: Accounting for Carbon–Water Dissimilarity During Photodegradation of a Climactically Dynamic Semi-Arid Grassland (570847)
James R Cleverly1, Derek Eamus2, Rachael Nolan2,3, Tonantzin Tarin1,4, Caecilia Ewenz5, Peter Robert Isaac6 and Todd M Scanlon7, (1)University of Technology Sydney, Ultimo, NSW, Australia, (2)University of Technology Sydney, Ultimo, Australia, (3)Western Sydney University, Richmond, Australia, (4)University of Delaware, Newark, United States, (5)TERN Ecosystem Processes–OzFlux Central, Adelaide, Australia, (6)TERN Ecosystem Processes–OzFlux Central, Melbourne, Australia, (7)Univ Virginia, Charlottesville, VA, United States
Uncertainty in Carbon and Water Budgets Due to Processing and Partitioning Choices. (577036)
Peter Robert Isaac, TERN Ecosystem Processes–OzFlux Central, Melbourne, Australia, James R Cleverly, Uni of Technology Sydney, Broadway, NSW, Australia, Ian McHugh, University of Melbourne, Parkville, Australia and Cacilia Ewenz, Airborne Research Australia, Adelaide, Australia
Process-based Models as a Gap Filling Method for Eddy Covariance Measurements of Net Ecosystem CO2 Exchange: A Case Study for the Perennial Grass Miscanthus (585383)
Guler Aslan Sungur1, Andy VanLoocke1, Caitlin Moore2, Carl Bernacchi3 and Kelsie Ferin4, (1)Iowa State University, Ames, IA, United States, (2)University of Illinois at Urbana Champaign, Urbana, IL, United States, (3)University of Illinois at Urbana-Champaign, Department of Plant Biology, Urbana, IL, United States, (4)Iowa State University, Agronomy, Ames, IA, United States
Understanding the Role of Land-Cover Heterogeneity on the Land-Atmospheric Interactions Inside the Footprint of A Tall Flux Tower (615484)
Leila Constanza Hernandez Rodriguez, University of Illinois at Urbana Champaign, Urbana, IL, United States, Allison Eva Goodwell, University of Colorado, Denver, Civil Engineering, Denver, CO, United States and Praveen Kumar, University of Illinois at Urbana Champaign, Department of Civil and Environmental Engineering, Urbana, IL, United States
Reproducibility of code behavior across different implementations for flux processing pipelines (625182)
Gilberto Pastorello1, Dario Papale2, Abdelrahman Elbashandy1, Sebastien Biraud1, Deb Agarwal3, Carlo Trotta4, Alessio Ribeca4, Eleonora Canfora4, Housen Chu5, You-Wei Cheah3, Danielle S Christianson5, Trevor F Keenan5, Dennis D Baldocchi6 and Margaret S Torn7, (1)Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (2)University of Tuscia, Department for Innovation in Biological, Agro-food and Forest systems (DIBAF), Viterbo, Italy, (3)LBNL, Berkeley, CA, United States, (4)University of Tuscia, DIBAF, Viterbo, Italy, (5)Lawrence Berkeley National Laboratory, Berkeley, United States, (6)University of California Berkeley, Department of Environmental Science, Policy, and Management, Berkeley, CA, United States, (7)Berkeley Lab/UC Berkeley, Berkeley, CA, United States
