Embedded Files
AmeriFlux data pipeline support network growth and data sharing
AmeriFlux data pipeline support network growth and data sharing
Chu et al., 2023, AmeriFlux BASE data pipeline to support network growth and data sharing. Scientific Data 10(1), https://doi.org/10.1038/s41597-023-02531-2
AmeriFlux is a network of research sites that measure carbon, water, and energy fluxes between ecosystems and the atmosphere using the eddy covariance technique to study a variety of Earth science questions. AmeriFlux’s diversity of ecosystems, instruments, and data-processing routines create challenges for data standardization, quality assurance, and sharing across the network. To address these challenges, the AmeriFlux Management Project (AMP) designed and implemented the BASE data-processing pipeline. The pipeline begins with data uploaded by the site teams, followed by the AMP team’s quality assurance and quality control (QA/QC), ingestion of site metadata, and publication of the BASE data product. The semi-automated pipeline enables us to keep pace with the rapid growth of the network. As of 2022, the AmeriFlux BASE data product contains 3,130 site years of data from 444 sites, with standardized units and variable names of more than 60 common variables, representing the largest long-term data repository for flux-met data in the world. The standardized, quality-ensured data product facilitates multisite comparisons, model evaluations, and data syntheses.
AmeriFlux Eddy-Covariance flux footprint representativeness
AmeriFlux Eddy-Covariance flux footprint representativeness
Chu et al., 2021, Representativeness of Eddy-Covariance flux footprints for areas surrounding AmeriFlux sites. Agricultural and Forest Meteorology. 301-302, 108350, https://doi.org/10.1016/j.agrformet.2021.108350
AmeriFlux is a network of research sites that measure carbon, water, and energy fluxes between ecosystems and the atmosphere using the eddy covariance technique to study a variety of Earth science questions. AmeriFlux’s diversity of ecosystems, instruments, and data-processing routines create challenges for data standardization, quality assurance, and sharing across the network. To address these challenges, the AmeriFlux Management Project (AMP) designed and implemented the BASE data-processing pipeline. The pipeline begins with data uploaded by the site teams, followed by the AMP team’s quality assurance and quality control (QA/QC), ingestion of site metadata, and publication of the BASE data product. The semi-automated pipeline enables us to keep pace with the rapid growth of the network. As of 2022, the AmeriFlux BASE data product contains 3,130 site years of data from 444 sites, with standardized units and variable names of more than 60 common variables, representing the largest long-term data repository for flux-met data in the world. The standardized, quality-ensured data product facilitates multisite comparisons, model evaluations, and data syntheses.
Journal Article & Conference Paper (Peer-reviewed)
Journal Article & Conference Paper (Peer-reviewed)
Khand, K., G.B. Senay, M. Friedrichs, K. Yi, J.B. Fisher, L. Wang, K. Suvočarev, A. Ahmadi, H. Chu, S. Good, K. Mallick, J. Missik, J.A. Nelson, D.E. Reed, T. Wang, and X. Xiao. (2025) A novel approach to increase accuracy in remotely sensed evapotranspiration through basin water balance and flux tower constraints. Journal of Hydrology, 662A, 133824, https://doi.org/10.1016/j.jhydrol.2025.133824
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Luo, X., R. Zhao, H. Chu, A. Collalti, S. Fatichi, T.F. Keenan, X. Lu, N. Nguyen, I.C. Prentice, W. Sun, K. Yu, and L. Yu. (2025) Global variation in vegetation carbon use efficiency inferred from eddy covariance observations. Nature Ecology & Evolution. https://doi.org/10.1038/s41559-025-02753-0.
Yi, K., G.B. Senay, J.B. Fisher, L. Wang, K. Suvočarev, H. Chu, G.W. Moore, K.A. Novick, M.L. Barnes, T.F. Keenan, K.Mallick, X. Luo, J.E.C. Missik, K.B. Delwiche, J.A. Nelson, S.P. Good, X. Xiao, S.A. Kannenberg, A. Ahmadi, T. Wang, G. Bohrer, M.E. Litvak, D.E. Reed, A.C. Oishi, M.S. Torn, D. Baldocchi. (2024) Challenges and future directions in quantifying terrestrial evapotranspiration. Water Resources Research, 60 (10), e2024WR037622. https://doi.org/10.1029/2024WR037622
Chen, J., C. Lei, H. Chu, X. Li, M. Torn, Y. Wang, and P. Sciusco, and G.P. Robertson. (2024) Overlooked cooling effects of albedo in terrestrial ecosystems. Environmental Research Letters, 19, 093001 https://doi.org/10.1088/1748-9326/ad661d
Fenster, T., I. Torres, A. Zeilinger, H. Chu, and, P Oikawa. Investigating ecosystem-scale responses to compost amendments in a grazed grassland. Journal of Geophysical Research: Biogeosciences. http://dx.doi.org/10.1029/2023JG007621.
Chu, H., D. Christianson, Y.-W. Cheah, G. Pastorello, F. O’Brien, J. Geden, S.-T. Ngo, R. Hollowgrass, K. Leibowitz, N.F. Beekwilder, M. Sandesh, S. Dengel, S.W. Chan, A. Santos, K. Delwiche, K. Yi, C. Buechner, D. Baldocchi, D. Papale, T.F. Keenan, S.C. Biraud, D.A. Agarwal, and M.S. Torn. (2023) AmeriFlux BASE data pipeline to support network growth and data sharing. Scientific Data, 10: 614, https://doi.org/10.1038/s41597-023-02531-2.
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Ueyama, M., S.H. Knox, K.B. Delwiche, S. Bansal, W.J. Riley, D. Baldocchi, T. Hirano, G. McNicol, K. Schafer, L. Windham-Myers, B. Poulter, R.B. Jackson, K.-Y. Chang, J. Chen, H. Chu, A.R. Desai, S. Gogo, H. Iwata, M. Kang, I. Mammarella, M. Peichl, O. Sonnentag, E.-S. Tuittila, Y. Ryu, E.S. Euskirchen, M. Göckede, A. Jacotot, M. B. Nilsson, and T. Sachs. (2023) Modeled production, oxidation and transport processes of wetland methane emissions in temperate, boreal, and Arctic regions. Global Change Biology, https://doi.org/10.1111/gcb.16594
Shahan, J., H. Chu, Windham-Myers, M. Matsumura, J. Carlin, E. Eichelmann, E. Stuart-Haentjens, B. Bergamaschi, K. Nakatsuka, C. Sturtevant, and P. Oikawa. Combining eddy covariance and chamber methods to better constrain CO2 and CH4 fluxes across a heterogeneous restored tidal wetland. Journal of Geophysical Research: Biogeosciences, 127, e2022JG007112. https://doi.org/10.1029/2022JG007112
Rey-Sanchez, C., A. Arias-Ortiz, K. Kasak, H. Chu, D. Szutu, J. Verfailie, D. Baldocchi. (2022) Detecting hot spots of methane flux using footprint-weighted flux maps. Journal of Geophysical Research: Biogeosciences. https://doi.org/10.1029/2022JG006977
Yuan, K., F. Li, W.J. Riley, M. Torn, H. Chu, G. McNicol, M. Chen, S. Knox, K. Delwiche, H. Wu, D. Baldocchi, H. Ma, A.R. Desai, J. Chen, T. Sachs, M. Ueyama, O. Sonnentag, M. Helbig, E.-S. Tuittila, G. Jurasinski, F. Koebsch, D. Campbell, H.P. Schmid, A. Lohila, M. Goeckede, M. Nilsson, T. Friborg, J. Jansen, D. Zona, E. Euskirchen, K. Krauss, G. Bohrer, Z. Jin, L. Liu, H. Iwata, J. Goodrich, R. Jackson. (2022) Causality guided machine learning model on wetland CH4 emissions across global wetlands. Agricultural and Forest Meteorology. https://doi.org/10.1016/j.agrformet.2022.109115
Salmon, E., F. Jégou, B. Guenet, L. Jourdain, C. Qiu, V. Bastrikov, C. Guimbaud, D. Zhu, P. Ciais, P. Peylin, S. Gogo, F. Laggoun-Défarge, M. Aurela, S. Bret-Harte, J. Chen, B. H. Chojnicki, H. Chu, C. W. Edgar, E. Euskirchen, L. B. Flanagan, K. Fortuniak, D. Holl, J. Klatt, O. Kolle, N. Kowalska, L. Kutzbach, A. Lohila, L. Merbold, W. Pawlak, T. Sachs, and K. Ziemblińska. Assessing methane emissions for northern peatlands in ORCHIDEE-PEAT revision 7020. Geoscientific Model Development. 15, 2813–2838, https://doi.org/10.5194/gmd-15-2813-2022, 2022.
Young, A.M., M.A. Friedl, B. Seyednasrollah, E. Beamesderfer, C.M. Carrillo, X. Li; M. Moon, M.A. Arain, D.D. Baldocchi, P.D. Blanken, G. Bohrer, S.P. Burns, H. Chu, A.R. Desai, T.J. Griffis, D.Y. Hollinger, M.E. Litvak, K. Novick, R.L. Scott, A.E. Suyker, J. Verfaillie, J.D. Wood, A.D. Richardson (2021) Seasonality in aerodynamic resistance across a range of North American ecosystems. Agricultural and Forest Meteorology. https://doi.org/10.1016/j.agrformet.2021.108613
Gu, R.-Y., M.-H. Lo, C.-Y. Liao, Y.-S. Jang, J.-Y. Juang, C.-Y. Huang, S.-C. Chang, C.-I Hsieh, M.-H. Li, Y.-Y. Chen, H. Chu, and K.-Y. Chang. (2021) The early peak of latent heat fluxes regulates diurnal temperature range in montane cloud forests. Journal of Hydrometeorology. https://doi.org/10.1175/JHM-D-21-0005.1
Irvin, J., S. Zhou; G. McNicol, F. Lu, V. Liu, E. Fluet-Chouinard, Z. Ouyang, S.H. Knox, A. Lucas-Moffat, C. Trotta, D. Papale, D. Vitale, I. Mammarella, A. Avati, A. Kondrich, A. Ng, A. C. Rey-Sanchez, A.C. Valach, A.D. Richardson, A. Kalhori, A. Lohila, A. Malhotra, A. Noormets, A.R. Desai, B. Mitra, B. R.K. Runkle, C. Helfter, C. Sturtevant, D. Baldocchi, D.I. Campbell, D.Y.F. Lai, D. Zona, E. Euskirchen, E.J. Ward, E. Stuart-Haëntjens, G. Bohrer, G. Jurasinski, G.L. Vourlitis, G.X. Wong, H. Chu, H. Iwata, H.J. Dalmagro, J. Chen, K.B. Delwiche, K.S. Hemes, K.V.R. Schäfer, L. Merbold, M. Aurela, M.B. Nilsson, M. Goeckede, M. Helbig, M. Heimann, M. Peichl, M. Ueyama, O. Sonnentag, P. Alekseychik, R. Vargas, S. Bansal, S. Feron, T. Hirano, A. Jacotot, A. Sakabe, A. Varlagin, C. Wille, D.J. Szutu, D.P. Billesbach, E.A. Schuur, E. Nemitz, E.-S. Tuittila, F. Jan Parmentier, F. Koebsch, G. Celis, H. Dolman, J.G. Verfaillie, J.P. Goodrich, K. Fuchs, K. Kasak, K. Ono, L. Hörtnagl, M.C.R. Alberto, M.J. Gondwe, P. Gottschalk, P.Y. Oikawa, R.C. Sullivan, R. Maier, R. Shortt, S. Gogo, T. Friborg, T.H. Morin, T. Sachs, W.C. Oechel, L. Windham-Myers, B. Poulter, and R.B. Jackson. (2021) Gap-filling eddy covariance methane fluxes: Comparison of machine learning model predictions and uncertainties at FLUXNET-CH4 wetlands. Agricultural and Forest Meteorology, 308-309, https://doi.org/10.1016/j.agrformet.2021.108528
Delwiche, K.B., S.H. Knox, A. Malhotra, E. Fluet-Chouinard, G. McNicol, S. Feron, Z. Ouyang, D. Papale, C. Trotta, E. Canfora, Y.-W. Cheah, D. Christianson, M.C.R. Alberto, P. Alekseychik, M. Aurela, D. Baldocchi, S. Bansal, D.P. Billesbach, G. Bohrer, R. Bracho, N. Buchmann, D.I. Campbell, G. Celis, J. Chen, W. Chen, H. Chu, H.J. Dalmagro, S. Dengel, A.R. Desai, M. Detto, H. Dolman, E. Eichelmann, E. Euskirchen, D. Famulari, T. Friborg, K. Fuchs, M. Goeckede, S. Gogo, M.J. Gondwe, J.P. Goodrich, P. Gottschalk, S.L. Graham, M. Heimann, M. Helbig, C. Helfter, K.S. Hemes, T. Hirano, D. Hollinger, L. Hörtnagl, H. Iwata, A. Jacotot, J. Jansen, G. Jurasinski, M. Kang, K. Kasak, J. King, J. Klatt, F. Koebsch, K.W. Krauss, D.Y.F. Lai, I. Mammarella, G. Manca, L.B. Marchesini, J.H. Matthes, T. Maximon, L. Merbold, B. Mitra, T.H. Morin, E. Nemitz, M.B. Nilsson, S. Niu, W.C. Oechel, P.Y. Oikawa, K. Ono, M. Peichl, O. Peltola, M.L. Reba, A.D. Richardson, W. Riley, B.R.K. Runkle, Y. Ryu, T. Sachs, A. Sakabe, C. Rey-Sanchez, E.A. Schuur, K.V.R. Schäfer, O. Sonnentag, J.P. Sparks, E. Stuart-Haëntjens, C. Sturtevant, R.C. Sullivan, D.J. Szutu, J.E. Thom, M.S. Torn, E.-S. Tuittila, J. Turner, M. Ueyama, A.C. Valach, R. Vargas, A. Varlagin, A. Vazquez-Lule, J.G. Verfaillie, T. Vesala, G.L. Vourlitis, E.J. Ward, C. Wille, G. Wohlfahrt, G.X. Wong, Z. Zhang, D. Zona, L. Windham-Myers, B. Poulter, and R.B. Jackson. FLUXNET-CH4: A global, multi-ecosystem dataset and analysis of methane seasonality from freshwater wetlands. Earth System Science Data. 2021(13), 3607-3689, https://doi.org/10.5194/essd-13-3607-2021
Knox, S.H., S. Bansal, G. McNicol, K. Schafer, C. Sturtevant, M. Ueyama, A.C. Valach, D. Baldocchi, K. Delwiche, A.R. Desai, E. Euskirchen, J. Liu, A. Lohila, A. Malhotra, L. Melling, W. Riley, B.R.K. Runkle, J. Turner, R. Vargas, Q. Zhu, T. Alto, E. Fluet-Chouinard, M. Goeckede, J.R. Melton, O. Sonnentag, T. Vesala, E.J. Ward, Z. Zhang, S. Feron, Z. Ouyang, A.C.I. Tang, P. Alekseychik, M. Aurela1, G. Bohrer, D.I. Campbell, J. Chen, H. Chu, H.J. Dalmagro, J.P. Goodrich, P. Gottschalk, T. Hirano, H. Iwata, G. Jurasinski, M. Kang, F. Koebsch, I. Mammarella, M.B. Nilsson, K. Ono, M. Peichl, O. Peltola, Y. Ryu, T. Sachs, A. Sakabe, J. Sparks, E.-S. Tuittila, G.L. Vourlitis, G.X. Wong, L. Windham-Myers, B. Poulter, and R.B. Jackson. Identifying dominant environmental predictors of global freshwater wetland CH4 fluxes across diurnal to seasonal time scales. Global Change Biology, 27: 3582-3604, https://doi.org/10.1111/gcb.15661
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Chu, H., X. Luo, Z. Ouyang, S. Chan, S. Dengel, S. C. Biraud, M. Torn, S. Metzger, J. Kumar, M. A. Arain, T. J. Arkebauer, D. Baldocchi, C. Bernacchi, D. Billesbach, T. A. Black, P. Blanken, G. Bohrer, R. Bracho, S. Brown, N. Brunsell, J. Chen, X. Chen, K. Clark, A Desai, T. Duman, D. Durden, E. Humphreys, S. Fares, I. Forbrich, J. Gamon, C. Gough, T. Griffis, D. Hollinger, M. Helbig, H. Ikawa, H. Iwata, Y. Ju, J. F. Knowles, S. Knox, H. Kobayashi, T. Kolb, B Law, X. Lee, M. Litvak, H. Liu, J. W. Munger, A Noormets, K. Novick, S. Oberbauer, W. Oechel, P. Oikawa, S. Papuga, E. Pendall, P. Prajapati, J. Prueger, W. L Quinton, A. D. Richardson, E. Russell, R. L. Scott, G. Starr, R. Staebler, P. Stoy, E. Stuart-Haëntjens, O. Sonnentag, R. Sullivan, A. Suyker, M. Ueyama, R. Vargas, J. D. Wood, and D. Zona. (2021) Representativeness of eddy-covariance flux footprints for areas surrounding AmeriFlux sites. Agricultural and Forest Meteorology. 301-302, 108350, https://doi.org/10.1016/j.agrformet.2021.108350.
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Shao, C., J. Chen, H. Chu, C. A. Stepien, and Z. Ouyang. (2020) Intra- and inter-annual dynamics of evaporation over western Lake Erie. Earth and Space Science. 7, e2020EA001091, https://doi.org/10.1029/2020EA001091
Xin, X., D. Jin, Y. Ge, J. Wang, J. Chen, J. Qi, H. Chu, C. Shao, P. J. Murray, Z. Ruixue, Q. Qin and H. Tang. (2020) Climate change dominated long-term soil carbon losses of Inner Mongolian grasslands. Global Biogeochemical Cycles. 34, e2020GB006559, https://doi.org/10.1029/2020GB006559
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
Williams, I. N., J. Lee, J. Tadić, Y. Zhang, and H. Chu. (2020) Modeling spatial heterogeneity in surface turbulent heat flux in the US Southern Great Plains. Journal of Geophysical Research: Atmosphere. 125: e2019JD032255. DOI: 10.1029/2019JD032255
Xu, B, M. A. Arain, T. A. Black, B. E. Law, G. Z. Pastorello, and H. Chu. (2019) Seasonal variability of forest sensitivity to heat and drought stresses: A synthesis based on carbon fluxes from North American forest ecosystems. Global Change Biology. 2019; 00:1-18. https://doi.org/10.1029/2019JD032255
Knox, S, R. B. Jackson, B. Poulter, G. McNicol, E. Fluet-Chouinard, Z. Zhang, G. Hugelius, P. Bousquet, J. G. Canadell, M. Saunois, D. Papale, H. Chu, T. F. Keenan, D. Baldocchi, M. S. Torn, I. Mammarella, C. Trotta, M. Aurela, G. Bohrer, D. I. Campbell, A. Cescatti, S. Chamberlain, J. Chen, W. Chen, S. Dengel, A. R. Desai, E. Euskirchen, T. Friborg, D. Gasbarra, I. Goded, M. Goeckede, M. Heimann, M. Helbig, T. Hirano, D. Y. Hollinger, H. Iwata, M. Kang, J. Klatt, K. W. Krauss, L. Kutzbach, A. Lohila, B. Mitra, T. H. Morin, M. B. Nilsson, S. Niu, A. Noormets, W. C. Oechel, M. Peichl, O. Peltola, M. L. Reba, A. D. Richardson, B. R. K. Runkle, Y. Ryu, T. Sachs, K. V. R. Schäfer, H. P. Schmid, N. Shurpali, O. Sonnentag, A. C. I. Tang, M. Ueyama, R. Vargas, T. Vesala, E. J. Ward, L. Windham-Myers, G. Wohlfahrt, and D. Zona. (2019) FLUXNET-CH4 Synthesis Activity: Objectives, Observations, and Future Directions. Bulletin of the American Meteorological Society, 0, https://doi.org/10.1175/BAMS-D-18-0268.1
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
Gao, Y., Z. Ouyang, C. Shao, H. Chu, Y.-J. Su, H. Guo, J. Chen and B. Zhao. (2018) Field observation of lateral detritus carbon flux in a coastal wetland. Wetlands. 38, 613–625 https://doi.org/10.1007/s13157-018-1005-x
Qiu, C., D. Zhu, P. Ciais, B. Guenet, G. Krinner, S. Peng, M. Aurela, C. Bernhofer, C. Brümmer, S. Bret-Harte, H. Chu, J. Chen, A.R. Desai, J. Dušek, E. Euskirchen, K. Fortuniak, L. Flanagan, T. Friborg, M. Grygoruk, S. Gogo, T. Grünwald, E. Humphreys, J. Hommeltenberg, M. Hurkuck, G. Kiely, C. Largeron, M. Lund, P.M. Lafleur, L. Merbold, M.B. Nilsson, J. Olejnik, W. Oechel, W. Pawlak, M. Peichl, N. Pirk, C. Rebmann, J. Rinne, G Shaver, H.P. Schmid, M. Sottocornola, R. Steinbrecher, T. Sachs, M. Urbaniak, and D. Zona. (2018) ORCHIDEE-PEAT (revision 4596), a model for northern peatland CO2, water, and energy fluxes on daily to annual scales. Geoscientific Model Development. 11: 497-519. https://doi.org/10.5194/gmd-11-497-2018
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
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
Shao, C., J. Chen, H. Chu, R. Lafortezza, G. Dong, M. Abraha, O. Batkhishig, R. John, Z. Ouyang, Y Zhang and J. Qi. (2017) Grassland productivity and carbon sequestration in Mongolian grasslands: The underlying mechanisms and nomadic implications. Environmental Research. 159: 124–134, https://doi.org/10.1016/j.envres.2017.08.001
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
Ouyang, Z., C. Shao, H. Chu, R. Becker, T. Bridgeman, C. Stepien, R. John, and J. Chen. (2017) The effect of algal blooms on carbon emissions in western Lake Erie: An integration of remote sensing and eddy covariance measurements. Remote Sensing, 9(1): 44, https://doi.org/10.3390/rs9010044
Chu, H., J. Chen, J. F. Gottgens, A. R. Desai, Z. Ouyang, and S. Qian. (2016) Response and biophysical regulation of carbon dioxide fluxes to climate variability and anomaly in contrasting ecosystems in northwestern Ohio, USA. Agricultural and Forest Meteorology, 220: 50-68, https://doi.org/10.1016/j.agrformet.2016.01.008
Xie, J., J. Chen, G. Sun, T. Zha, B. Yang, H. Chu, J. Liu, S. Wan, C. Zhou, H. Ma, C. P.-A. Bourque, C. Shao, R. John, and Z. Ouyang. (2016) Ten-year variability in ecosystem water use efficiency in an oak-dominated temperate forest under a warming climate. Agricultural and Forest Meteorology, 218-219: 209-217, https://doi.org/10.1016/j.agrformet.2015.12.059
Han, J., L. Li, H. Chu. Y. Miao, J. Chen, and S. Chen. (2015) The Effects of grazing and watering on ecosystem CO2 fluxes vary by community phenology. Environmental Research, 144: 64-71, https://doi.org/10.1016/j.envres.2015.09.002
Shao, C., J. Chen, C. A. Stepien, H. Chu, T. Bridgeman, K. Czajkowski, R. Becker, Z. Ouyang, and R. John. (2015) Diurnal to annual changes in latent, sensible heat and CO2 fluxes over a Laurentian Great Lake: A case study in western Lake Erie. Journal of Geophysical Research: Biogeosciences, 120(8): 1587-1604, https://doi.org/10.1002/2015JG003025 (AGU EOS Research Spotlight (2015), 96, https://doi.org/10.1029/2015EO037667)
Abraha, M. J. Chen, H. Chu, T. Zenone, J. Ranjeet, Y.-J. Su, S. K. Hamilton, and P. Robertson. (2015) Evapotranspiration of annual and perennial biofuel crops in a variable climate. Global Change Biology: Bioenergy, 7(6): 1344-1356, https://doi.org/10.1111/gcbb.12239
Chu, H., J. F. Gottgens, J. Chen, G. Sun, A. R. Desai, Z. Ouyang, C. Shao, and K. Czajkowski. (2015) Climatic variability, hydrologic anomaly, and methane emission can turn productive freshwater marches into net carbon sources. Global Change Biology, 21(3): 1165-1181. https://doi.org/10.1111/gcb.12760
Ouyang, Z., J. Chen, R. Becker, H. Chu, J. Xie, C. Shao, and R. John. (2014) Disentangling the confounding effects of PAR and air temperature on net ecosystem exchange in time and scale. Ecological Complexity, 19: 46-58. https://doi.org/10.1016/j.ecocom.2014.04.005
Chu, H., J. Chen, J. F. Gottgens, Z. Ouyang, R. John, K. Czajkowski, and R. Becker. (2014) Net ecosystem methane and carbon dioxide exchanges in a Lake Erie coastal marsh and a nearby cropland. Journal of Geophysical Research: Biogeosciences, 119(5): 722-740. https://doi.org/10.1002/2013JG002520
Xie, J., J. Chen, G. Sun, H. Chu, A. Noormets, Z. Ouyang, R. John, S. Wan, and W. Guan. (2014). Long-term variability and environmental control of the carbon cycle in an oak-dominated temperate forest. Forest Ecology and Management, 313: 319-328. https://doi.org/10.1016/j.foreco.2013.10.032
Xie, J., G. Sun, H. Chu, J. Liu, S. G. McNulty, A. Noormets, R. John, Z. Ouyang, T. Zha, H. Li, W. Guan, and J. Chen. (2014). Long-term variability in water budget and its controls in an oak-dominated temperate forest. Hydrological Processes, 28(25): 6054-6066. https://doi.org/10.1002/hyp.10079
Chu, H., S.-C. Chang, O. Klemm, C.-W. Lai, Y.-J. Lin, C.-C. Wu, J.-Y. Lin, J.-Y. Jiang, J. Chen, J. F. Gottgens, and Y.-J. Hsia. (2014). Does canopy wetness matter? Evapotranspiration from a subtropical montane cloud forest in Taiwan. Hydrological Processes, 28(3): 1190-1214. https://doi.org/10.1002/hyp.9662
Deal, M.W., J. Xu, R. John, T. Zenone, J. Chen, P. Jasrotia, K. Kahmark, H. Chu, J. Bossenbroek, and C. Mayer. (2013). Net primary production in three bioenergy crop systems following land conversion. Journal of Plant Ecology, 7(6): 1-10. https://doi.org/10.1093/jpe/rtt057
Chu, H., N. Liang, C.-W. Lai, C.-C. Wu, S.-C. Chang, and Y.-J. Hsia. (2013). Topographic Effects on CO2 Flux Measurement at the Chi-Lan Mountain Forest Site. Taiwan Journal of Forest Science, 28(1): 1-16. Link
Tan, Z.-H., Y.-P. Zhang, N. Liang, Y.-J. Hsia, Y.-J. Zhang, G.-Y. Zhou, Y.-L. Li, J.-Y. Juang, H. Chu, J.-H. Yan, G.-R. Yu, X.-M. Sun, Q.-H. Song, K.-F. Cao, D. A. Schaefer, and Y.-H. Liu. (2012). An observational study of the carbon-sink strength of East Asian subtropical evergreen forests. Environmental Research Letter 7(4): 044017. https://doi.org/10.1088/1748-9326/7/4/044017
Gonser, S., O. Klemm, F. Griessbaum, S.-C. Chang, H. Chu, and Y.-J. Hsia. (2011). The relation between humidity and liquid water content in fog: an experimental approach. Pure and Applied Geophysics, 169(5-6): 821-833. https://doi.org/10.1007/s00024-011-0270-x
Lin, C.-C., C.-H. Hsu, Y.-J. Hsia, H. Chu, and S.-S. Lu. (2009). Scientific workflow system (kepler) for carbon dioxide flux computing. Quarterly Journal of Chinese Forestry, 42: 75-88. https://doi.org/10.30064/QJCF.200903.0005
Wang, S.-H., C.-K. Chiang, B.-R. Chiang, Y.-C. Li, S.-L. Xu, J.-H. Cheng, J.-N. Cheng, H. Chu, W.-C. Chang, Q.-J. Zeng, Y.-L. Zheng, and J.-F. Cai. (2000). A story of space participatory writing of spatial scenarios: Shop house reconstruction in Kuo-Hsin Township after the 921 Earthquake. Cities and Design, 11&12, 295-312. https://doi.org/10.30008/CD.200003.0010
Technical Report / White Paper (Selected)
Technical Report / White Paper (Selected)
Chu, H., Y.-W. Chieh, D. Agarwal, and M.S. Torn (2023) BER Case Study: AmeriFlux Network In Biological and Environmental Research Network Requirements Review Final Report. Edited by E. Dart, Z. Harlan, C. Hawk, J. Hess, J.J. Hnilo, J. Maccauley, R. Madupu, K. Miller, C. Tracy, A. Wiedlea, J. Zurawski. pp. 211-219. Office of Biological and Environmental Research, DOE Office of Science, United States. https://doi.org/10.2172/1996500
Malhotra, A., T. Määttä, Etienne Fluet-Chouinard, H. Chu, G. McNichol, and K. Delwiche (2023) AI4 plant trait-based wetland CH4 predictions White Paper to DOE AI4CH4 Workshop.
Zhu, Q., W. Riley, J. Tang, R. Negron-Juarez, H. Chu, K. Yuan, G. McNicol, M. Chen, and L. Fa (2023) Partitioning net wetland CH4 emissions into production and oxidation components using ecosystem scale flux measurements and physically guided machine learning. White Paper to DOE AI4CH4 Workshop.
Chu, H., G. McNicol, Q. Zhu, A. Malhotra, C. Rey-Sanchez, D. Durden, and S. Metzger (2023) Toward spatiotemporally resolved methane emissions for modeling and upscaling research. White Paper to DOE AI4CH4 Workshop.
Baldocchi, D, H. Chu, D. Agarwal, and M. Torn. (2018) Connecting AmeriFlux to the Globe, Extending the Partnership with Global Flux Network FLUXNET. Technical Report, DOE-UCB-037357, United States. https://doi.org/10.2172/1487146
Published Dataset
Published Dataset
McNicol, G., E. Fluet-Chouinard, Z. Ouyang, S.H. Knox, Z. Zhang, T. Aalto, S. Bansal, K.-Y. Chang, M. Chen, K. Delwiche, S.C. Feron, M. Goeckede, J. Liu, A. Malhotra, J.R. Melton, W. Riley, R. Vargas, K. Yuan, Q. Ying, Q. Zhu, P. Alekseychik, M. Aurela, D.P. Billesbach, D.I. Campbell, J. Chen, H. Chu, A.R. Desai, S.E. Euskirchen, J. Goodrich, T. Griffis, M. Helbig, T. Hirano, H. Iwata, G. Jurasinski, J. King, F. Koebsch, R. Kolka, K.W. Krauss, A. Lohila, I. Mammarella, M.B. Nilsson, A. Noormets, W. Oechel, M. Peichl, T. Sachs, A. Sakabe, C. Schulze, O. Sonnentag, R.C. Sullivan, E.S. Tuittila, M. Ueyama, T. Vesala, E.J. Ward, C. Wille, G.X. Wong, D. Zona, L. Windham-Myers, B. Poulter, and R.B. Jackson. 2023. Global Wetland Methane Emissions derived from FLUXNET and the UpCH4 Model, 2001-2018. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/2253
Chu, H., X. Luo, Z. Ouyang, S. Chan, S. Dengel, S. C. Biraud, M. Torn, S. Metzger, J. Kumar, M. A. Arain, T. J. Arkebauer, D. Baldocchi, C. Bernacchi, D. Billesbach, T. A. Black, P. Blanken, G. Bohrer, R. Bracho, S. Brown, N. Brunsell, J. Chen, X. Chen, K. Clark, A Desai, T. Duman, D. Durden, E. Humphreys, S. Fares, I. Forbrich, J. Gamon, C. Gough, T. Griffis, D. Hollinger, M. Helbig, H. Ikawa, H. Iwata, Y. Ju, J. F. Knowles, S. Knox, H. Kobayashi, T. Kolb, B Law, X. Lee, M. Litvak, H. Liu, J. W. Munger, A Noormets, K. Novick, S. Oberbauer, W. Oechel, P. Oikawa, S. Papuga, E. Pendall, P. Prajapati, J. Prueger, W. L Quinton, A. D. Richardson, E. Russell, R. L. Scott, G. Starr, R. Staebler, P. Stoy, E. Stuart-Haëntjens, O. Sonnentag, R. Sullivan, A. Suyker, M. Ueyama, R. Vargas, J. D. Wood, and D. Zona. Dataset for “Representativeness of eddy-covariance flux footprints for areas surrounding AmeriFlux sites”. Zenodo Repository. https://doi.org/10.5281/zenodo.4015350
Shao, C., J. Chen, C.A. Stepien, H. Chu, and Z. Ouyang (2020) Dataset for “Intra- and inter-annual dynamics of evaporation over western Lake Erie”. Zenodo Repository. https://doi.org/10.5281/zenodo.3859063
Seyednasrollah, B., A.M. Young, K. Hufkens, T. Milliman, M.A. Friedl, S. Frolking, A.D. Richardson, M. Abraha, D.W. Allen, M. Apple, M.A. Arain, J. Baker, J.M. Baker, D. Baldocchi, C.J. Bernacchi, J. Bhattacharjee, P. Blanken, D.D. Bosch, R. Boughton, E.H. Boughton, R.F. Brown, D.M. Browning, N. Brunsell, S.P. Burns, M. Cavagna, H. Chu, P.E. Clark, B.J. Conrad, E. Cremonese, D. Debinski, A.R. Desai, R. Diaz-Delgado, L. Duchesne, A.L. Dunn, D.M. Eissenstat, T. El-Madany, D.S.S. Ellum, S.M. Ernest, A. Esposito, L. Fenstermaker, L.B. Flanagan, B. Forsythe, J. Gallagher, D. Gianelle, T. Griffis, P. Groffman, L. Gu, J. Guillemot, M. Halpin, P.J. Hanson, D. Hemming, A.A. Hove, E.R. Humphreys, A. Jaimes-Hernandez, A.A. Jaradat, J. Johnson, E. Keel, V.R. Kelly, J.W. Kirchner, P.B. Kirchner, M. Knapp, M. Krassovski, O. Langvall, G. Lanthier, G.l. Maire, E. Magliulo, T.A. Martin, B. McNeil, G.A. Meyer, M. Migliavacca, B.P. Mohanty, C.E. Moore, R. Mudd, J.W. Munger, Z.E. Murrell, Z. Nesic, H.S. Neufeld, T.L. O'Halloran, W. Oechel, A.C. Oishi, W.W. Oswald, T.D. Perkins, M.L. Reba, B. Rundquist, B.R. Runkle, E.S. Russell, E.J. Sadler, A. Saha, N.Z. Saliendra, L. Schmalbeck, M.D. Schwartz, R.L. Scott, E.M. Smith, O. Sonnentag, P. Stoy, S. Strachan, K. Suvocarev, J.E. Thom, R.Q. Thomas, A.K. Van den Berg, R. Vargas, J. Verfaillie, C.S. Vogel, J.J. Walker, N. Webb, P. Wetzel, S. Weyers, A.V. Whipple, T.G. Whitham, G. Wohlfahrt, J.D. Wood, S. Wolf, J. Yang, X. Yang, G. Yenni, Y. Zhang, Q. Zhang, and D. Zona. (2019) PhenoCam Dataset v2.0: Vegetation Phenology from Digital Camera Imagery, 2000-2018. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1674
Chen, J., and H. Chu (2011-2013) FLUXNET-CH4 US-WPT Winous Point North Marsh, FLUXNET-CH4 Dataset. https://doi.org/10.18140/FLX/1669702
Chen, J., and H. Chu (2011-2012) FLUXNET-CH4 US-CRT Curtice Walter-Berger cropland, FLUXNET-CH4 Dataset. https://doi.org/10.18140/FLX/1669671
Chen, J., H. Chu, and A. Noormets (2004-2013) FLUXNET2015 US-Oho Oak Openings, FLUXNET2015 Dataset. https://doi.org/10.18140/FLX/1440088
Chen, J., and H. Chu (2011-2013) FLUXNET2015 US-CRT Curtice Walter-Berger cropland, FLUXNET2015 Dataset. https://doi.org/10.18140/FLX/1440117
Chen, J., and H. Chu (2011-2013) AmeriFlux US-CRT Curtice Walter-Berger cropland, AmeriFlux Dataset. https://doi.org/10.17190/AMF/1246156
Chen, J., and H. Chu (2011-2013) AmeriFlux US-WPT Winous Point North Marsh, AmeriFlux Dataset. https://doi.org/10.17190/AMF/1246155
Chen, J., H. Chu, and A. Noormets (2004-2013) AmeriFlux US-Oho Oak Openings, AmeriFlux Dataset. https://doi.org/10.17190/AMF/1246089
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