B21D:
Surface–Atmosphere Interactions: From Single Flux Measurements to Integrated Synthesis I


Submit an Abstract to this Session


Session ID#: 59924

Session Description:
Our understanding of energy, water, and greenhouse gas cycling within the earth system is grounded in in-situ observations. Globally, hundreds of eddy-covariance flux sites as well as aircraft measure exchanges of energy and greenhouse gases between ecosystems and the atmosphere.

Many flux sites contribute to regional networks and the global FLUXNET, thus providing a globally synthesized and comprehensive dataset. Such joint efforts serve as the foundation for studying energy, water, and greenhouse gas cycling from local to global, and from diel to decadal scales.

This session focuses on the current state and future perspectives of flux measurements, synthesis, and modeling through collaborations and partnerships. We welcome contributions that improve our understanding through theories, instrumentation, models, datasets, as well as softwares. Submissions that integrate different data types, regions or scales are particularly encouraged, as well as new developments that improve the quality, interoperability, and reproducibility of data and tools.

Primary Convener:  Housen Chu, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
Conveners:  Stefan Metzger, NEON, Battelle, Boulder, United States, David Durden, National Ecological Observatory Network, Battelle, Boulder, United States and Dario Papale, University of Tuscia, DIBAF, Viterbo, Italy
Primary Liaison:  Housen Chu, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
Chairs:  Housen Chu, Lawrence Berkeley National Laboratory, Berkeley, CA, United States, Stefan Metzger, NEON, Battelle, Boulder, United States and David Durden, National Ecological Observatory Network, Battelle, Boulder, United States
OSPA Liaison:  David Durden, National Ecological Observatory Network, Battelle, Boulder, United States
Index Terms:

0414 Biogeochemical cycles, processes, and modeling [BIOGEOSCIENCES]
0426 Biosphere/atmosphere interactions [BIOGEOSCIENCES]
0428 Carbon cycling [BIOGEOSCIENCES]
0438 Diel, seasonal, and annual cycles [BIOGEOSCIENCES]

Abstracts Submitted to this Session:

Bridging the FLUXNET2015 data set: from tower observations to spatially representative fluxes for remote sensing and Earth system model applications (428610)
Anne Griebel1, Daniel Metzen1, Stefan Metzger2, George G Burba3 and Elise Pendall4, (1)Western Sydney University, Hawkesbury Institute for the Environment, Richmond, NSW, Australia, (2)NEON, Battelle, Boulder, United States, (3)LI-COR, Lincoln, United States, (4)Western Sydney University, Hawkesbury Institute for the Environment, Penrith 2751, NSW, Australia
The infinite flux tower project: Contribution of land surface energy-balance heterogeneity to mesoscale circulations and flux tower biases (392562)
Ankur R Desai1, Ke Xu2, Matthias Sühring3, Stefan Metzger4, David Durden5, Grant W Petty1, Philip A Townsend6, Jonathan E Thom7, Mark D Schwartz8 and Matthias Mauder9, (1)University of Wisconsin Madison, Atmospheric and Oceanic Sciences, Madison, WI, United States, (2)University of Michigan, Ann Arbor, MI, United States, (3)Institut für Meteorologie und Klimatologie, Hannover, Germany, (4)NEON, Battelle, Boulder, United States, (5)National Ecological Observatory Network, Battelle, Boulder, United States, (6)University of Wisconsin Madison, Department of Forest and Wildlife Ecology, Madison, United States, (7)University of Wisconsin Madison, Madison, WI, United States, (8)UW-Milwaukee, Milwaukee, WI, United States, (9)Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research, Atmospheric Environmental Research (IMK-IFU), Garmisch-Partenkirchen, Germany
Global variation of energy balance closure across the FLUXNET sites (389169)
Wenhui CUI, University of Hong Kong, Hong Kong, Hong Kong and Ting Fong May Chui, The University of Hong Kong, Department of Civil Engineering, Hong Kong, China
Derived Optimal Linear Combination Evapotranspiration (DOLCE): a global gridded synthesis ET estimate (376674)
Sanaa Hobeichi and Gab Abramowitz, ARC Centre of Excellence for Climate Extremes, University of New South Wales, Sydney, NSW, Australia
Estimating gross carbon dioxide fluxes by eddy covariance net ecosystem exchange measurements and machine learning methods (464269)
Gianluca Tramontana1, Jung Martin2, Markus Reichstein2, Mirco Migliavacca3, Prof. Trevor F Keenan4, Jerome Ogee5 and Dario Papale6, (1)Tuscia University, Viterbo, Italy, (2)Max Planck Institute for Biogeochemistry, Jena, Germany, (3)Max Planck Institute for Biogeochemistry, Department of Biogeochemical Integration, Jena, Germany, (4)Lawrence Berkeley National Laboratory, Berkeley, United States, (5)INRA Institut National de la Recherche Agronomique, Paris Cedex 07, France, (6)University of Tuscia, DIBAF, Viterbo, Italy
Fluxes from Across the Street: Using Artificial Neural Networks to Model Carbon Cycling from Paired Flux Sites (447050)
David E Reed, Michigan State University, Center for Global Change and Earth Observations, East Lansing, MI, United States, Jeralyn M Poe, Northern Arizona University, Flagstaff, AZ, United States, Michael Abraha, Michigan State University, East Lansing, MI, United States and Jiquan Chen, Michigan State University, Geography, Environment, and Spatial Science; CGCEO, East Lansing, MI, United States
Mapping land-atmosphere feedbacks using FLUXNET information flows (386033)
Tobias Gerken, Montana State University, Department of Land Resources and Environmental Sciences, Bozeman, MT, United States, Benjamin L Ruddell, Northern Arizona University, School of Informatics, Computing, and Cyber Systems, Flagstaff, United States, Rong Yu, University of Nebraska - Lincoln, School of Natural Resources, Lincoln, NE, United States, Paul C Stoy, University of Wisconsin-Madison, Madison, Biological Systems Engineering, Madison, United States and Darren Drewry, NASA Jet Propulsion Laboratory, Pasadena, CA, United States
Simulating Global and Local Land Surface Processes with JULES on the CEDA JASMIN Super-data-cluster (405913)
Patrick C McGuire1, Pier Luigi Vidale1, Eleanor Blyth2, Anna B Harper3, Carolina Duran Rojas4, Grenville M. S. Lister5, Toby Marthews6, Alberto Martinez-de la Torre7, Omar V Muller8,9, Anne Verhoef10, Charles Williams8,11 and Karina E Williams12, (1)University of Reading, Department of Meteorology, and National Centre for Atmospheric Science (NCAS), Reading, RG6, United Kingdom, (2)UK Centre for Ecology & Hydrology, Wallingford, United Kingdom, (3)University of Exeter, College of Engineering, Mathematics and Physical Sciences, Exeter, United Kingdom, (4)University of Exeter, Exeter, United Kingdom, (5)University of Reading, Department of Meteorology and National Centre for Atmospheric Science (NCAS), Reading, United Kingdom, (6)Centre for Ecology and Hydrology, Oxfordshire, United Kingdom, (7)Agencia Estatal de Meteorología, A Coruña, Spain, (8)University of Reading, NCAS Climate, Department of Meteorology, Reading, United Kingdom, (9)Universidad Nacional del Litoral, CEVARCAM Centro de Estudios de Variabilidad y Cambio Climático, FICH Facultad de Ingeniería y Ciencias Hídricas, Santa Fe, Argentina, (10)University of Reading, Department of Geography and Environmental Science, Reading, United Kingdom, (11)University of Bristol, School of Geographical Sciences, Bristol, United Kingdom, (12)Met Office, Exeter, United Kingdom

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