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FLUXNET is an international “network of networks,” tying together regional networks of earth system scientists. FLUXNET scientists use the eddy covariance technique to measure the cycling of carbon, water, and energy between the biosphere and atmosphere.
FLUXNET is an international “network of networks,” tying together regional networks of earth system scientists. FLUXNET scientists use the eddy covariance technique to measure the cycling of carbon, water, and energy between the biosphere and atmosphere.
Working on FLUXNET at UC Berkeley, I collaborated with interdisciplinary and multi-institutional teams to build a reproducible and scalable data pipeline to quality control, process, and synthesize the extensive data products of ecosystem-level carbon, water, and energy fluxes across hundreds of eddy-covariance sites worldwide (Pastorello et al. 2000, Pastorello et al. 2017). Specifically, as a data curator, I quality-checked and analyzed flux data submitted from 160+ sites across the Americas, ultimately published as the FLUXNET2015 dataset used in various research, educational, and management uses. I also devoted myself to the following FLUXNET-relevant research areas.
Working on FLUXNET at UC Berkeley, I collaborated with interdisciplinary and multi-institutional teams to build a reproducible and scalable data pipeline to quality control, process, and synthesize the extensive data products of ecosystem-level carbon, water, and energy fluxes across hundreds of eddy-covariance sites worldwide (Pastorello et al. 2000, Pastorello et al. 2017). Specifically, as a data curator, I quality-checked and analyzed flux data submitted from 160+ sites across the Americas, ultimately published as the FLUXNET2015 dataset used in various research, educational, and management uses. I also devoted myself to the following FLUXNET-relevant research areas.
Flux data’s interannual variability and temporal representativeness (Chu et al. 2017). My research examined how variable carbon fluxes are on a year-to-year basis and what biophysical factors cause interannual variability and/or temporal trends in carbon fluxes. I also evaluated how long the observations were sufficient to capture the interannual variability.
Value-added data products based on large-scale flux datasets. I developed a flux-derived canopy aerodynamic data product to track the seasonal and interannual dynamics of vegetation canopies, including growth, harvest, land-use change, and disturbance, providing a new benchmark for Earth system models and remotely sensed canopy structures (Chu et al., 2018).
Relevant Publications
Relevant Publications
Pastorello, G., C. Trotta, E. Canfora, H. Chu, D. Christianson, Y.-W. Cheah, C. Poindexter, J. Chen, A. Elbashandy, M. Humphrey, P. Isaac, D. Polidori, A. Ribeca, C. van Ingen, L. Zhang, B. Amiro, C. Ammann, A. Arain, J. Ardo, T. Arkebauer, S. Arndt, N. Arriga, M. Aubinet, M. Aurela, D. Baldocchi, A. Barr, E. Beamesderfer, L. B. Marchesini, O. Bergeron, J. Beringer, C. Bernhofer, D. Berveiller, D. Billesbach, T. A. Black, P. Blanken, G. Bohrer, J. Boike, P. V. Bolstad, D. Bonal, J.-M. Bonnefond, D. Bowling, R. Bracho, J. Brodeur, C. Brümmer, N. Buchmann, B. Burban, S. Burns, P. Buysse, P. Cale, M. Cavagna, P. Cellier, S. Chen, I. Chini, T. Christensen, J. Cleverly, A. Collalti, C. Consalvo, B. Cook, D. Cook, C. Coursolle, E. Cremonese, P. Curtis, E. D'andrea, H. Rocha, X. Dai, K. Davis, B. de Cinti, A. de Grandcourt, A. de Ligne, R. Oliveira Junior, N. Delpierre, A. Desai, C. Di Bella, P. Di Tommasi, A. J. Dolman, F. Domingo, G. Dong, S. Dore, P. Duce, E. Dufrêne, A. Dunn, J. Dušek, D. Eamus, U. Eichelmann, H. ElKhidir, W. Eugster, C. Ewenz, B. E. Ewers, D. Famulari, S. Fares, I. Feigenwinter, A. Feitz, R. Fensholt, G. Filippa, M. Fischer, J. Frank, M. Galvagno, M. Gharun, D. Gianelle, B. Gielen, B. Gioli, A. Gitelson, I. Goded, M. Gockede, A. Goldstein, C. Gough, M. Goulden, A. Graf, A. Griebel, C. Gruening, T. Grünwald, A. Hammerle, S. Han, X. Han, B. Hansen, C. Hanson, J. Hatakka, Y. He, M. Hehn, B. Heinesch, N. Hinko-Najera, L. Hörtnagl, L. Hutley, A. Ibrom, H. Ikawa, M. Jackowicz-Korczynski, D. Janouš, W. Jans, R. Jassal, S. Jiang, and T. Kato. (2020) The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data. Scientific Data. 7(1), 225, https://doi.org/10.1038/s41597-020-0534-3
Baldocchi, D.D., H. Chu, and M. Reichstein. (2018) Inter-Annual Variability of Net and Gross Ecosystem Carbon Fluxes: A Review. Agricultural and Forest Meteorology. 249: 520-533, https://doi.org/10.1016/j.agrformet.2017.05.015
Chu, H., D. D. Baldocchi, C. Poindexter, M. Abraha, A. R. Desai, G. Bohrer, M. A. Arain, T. Griffis, P. D. Blanken, T. L. O'Halloran, R. Q. Thomas, Q. Zhang, S. Burns, J. M. Frank, D. Christian, S. Brown, T. A. Black, C. M. Gough, B. E. Law, X. Lee, J. Chen, D. E. Reed, W. J. Massman, K. Clark, J. Hatfield, J. Prueger, R. Bracho, T. A. Martin, and J. M. Baker. (2018) Temporal dynamics of aerodynamic canopy height derived from eddy covariance momentum flux data across North American Flux Networks. Geophysical Research Letters. 45, 9275–9287. https://doi.org/10.1029/2018GL079306
Pastorello, G.Z., D.K. Gunter, H. Chu, D.S. Christianson, B. Faybishenko, Y. Cheah, S.W. Chan, S. Dengel, T.F. Keenan, F.L. O'Brien, A. Elbashandy, D.A. Agarwal, C. Trotta, D. Papale, N.F. Beekwilder, M. Humphrey, E. Canfora, and C.M. Poindexter (2017) Hunting data rogues at scale: data quality control for observational data in research infrastructures. Proceedings of the IEEE 12th International conference on E-Science, October 24, 2017. https://doi.org/10.1109/ESCIENCE.2017.64
Pastorello, G.Z., D. Papale, H. Chu, C. Trotta, D. A. Agarwal, E. Canfora, D. D. Baldocchi, and M. S. Torn. (2017) A new data set to keep a sharper eye on land-air exchanges. EOS, 98, https://doi.org/10.1029/2017EO071597
Chu, H., D. D. Baldocchi, R. John, S. Wolf, and M. Reichstein. (2017) Fluxes All of the Time? A Primer on the Temporal Representativeness of FLUXNET Network. Journal of Geophysical Research: Biogeosciences, 122(2): 289-307, https://doi.org/10.1002/2016JG003576
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