Temporal Dynamics of Aerodynamic Canopy Height Derived From Eddy Covariance Momentum Flux Data Across North American Flux Networks

Housen Chu; Dennis D. Baldocchi; Cristina Poindexter; Michael Abraha; Ankur R. Desai; Gil Bohrer; M. Altaf Arain; Timothy J Griffis; Peter D. Blanken; Thomas L. O'Halloran; R. Quinn Thomas; Quan Zhang; Sean P. Burns; John M. Frank; Dold Christian; Shannon Brown; T. Andrew Black; Christopher M. Gough; Beverly E. Law; Xuhui Lee; Jiquan Chen; David E. Reed; William J. Massman; Kenneth Clark; Jerry Hatfield; John Prueger; Rosvel Bracho; John M. Baker; Timothy A. Martin

doi:10.1029/2018GL079306

Temporal Dynamics of Aerodynamic Canopy Height Derived From Eddy Covariance Momentum Flux Data Across North American Flux Networks

Housen Chu, Dennis D. Baldocchi, Cristina Poindexter, Michael Abraha, Ankur R. Desai, Gil Bohrer, M. Altaf Arain, Timothy J Griffis, Peter D. Blanken, Thomas L. O'Halloran, R. Quinn Thomas, Quan Zhang, Sean P. Burns, John M. Frank, Dold Christian, Shannon Brown, T. Andrew Black, Christopher M. Gough, Beverly E. Law, Xuhui LeeJiquan Chen, David E. Reed, William J. Massman, Kenneth Clark, Jerry Hatfield, John Prueger, Rosvel Bracho, John M. Baker, Timothy A. Martin

Soil, Water, and Climate

Research output: Contribution to journal › Article › peer-review

33 Scopus citations

Abstract

Aerodynamic canopy height (h_a) is the effective height of vegetation canopy for its influence on atmospheric fluxes and is a key parameter of surface-atmosphere coupling. However, methods to estimate h_a from data are limited. This synthesis evaluates the applicability and robustness of the calculation of h_a from eddy covariance momentum-flux data. At 69 forest sites, annual h_a robustly predicted site-to-site and year-to-year differences in canopy heights (R² = 0.88, 111 site-years). At 23 cropland/grassland sites, weekly h_a successfully captured the dynamics of vegetation canopies over growing seasons (R² > 0.70 in 74 site-years). Our results demonstrate the potential of flux-derived h_a determination for tracking the seasonal, interannual, and/or decadal dynamics of vegetation canopies including growth, harvest, land use change, and disturbance. The large-scale and time-varying h_a derived from flux networks worldwide provides a new benchmark for regional and global Earth system models and satellite remote sensing of canopy structure.

Original language	English (US)
Pages (from-to)	9275-9287
Number of pages	13
Journal	Geophysical Research Letters
Volume	45
Issue number	17
DOIs	https://doi.org/10.1029/2018GL079306
State	Published - Sep 16 2018

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©2018. American Geophysical Union. All Rights Reserved.

Keywords

AmeriFlux
canopy height
eddy covariance
momentum flux
phenology

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Chu, H., Baldocchi, D. D., Poindexter, C., Abraha, M., Desai, A. R., Bohrer, G., Arain, M. A., Griffis, T. J., Blanken, P. D., O'Halloran, T. L., Thomas, R. Q., Zhang, Q., Burns, S. P., Frank, J. M., Christian, D., Brown, S., Black, T. A., Gough, C. M., Law, B. E., ... Martin, T. A. (2018). Temporal Dynamics of Aerodynamic Canopy Height Derived From Eddy Covariance Momentum Flux Data Across North American Flux Networks. Geophysical Research Letters, 45(17), 9275-9287. https://doi.org/10.1029/2018GL079306

Chu, H, Baldocchi, DD, Poindexter, C, Abraha, M, Desai, AR, Bohrer, G, Arain, MA, Griffis, TJ, Blanken, PD, O'Halloran, TL, Thomas, RQ, Zhang, Q, Burns, SP, Frank, JM, Christian, D, Brown, S, Black, TA, Gough, CM, Law, BE, Lee, X, Chen, J, Reed, DE, Massman, WJ, Clark, K, Hatfield, J, Prueger, J, Bracho, R, Baker, JM & Martin, TA 2018, 'Temporal Dynamics of Aerodynamic Canopy Height Derived From Eddy Covariance Momentum Flux Data Across North American Flux Networks', Geophysical Research Letters, vol. 45, no. 17, pp. 9275-9287. https://doi.org/10.1029/2018GL079306

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title = "Temporal Dynamics of Aerodynamic Canopy Height Derived From Eddy Covariance Momentum Flux Data Across North American Flux Networks",

abstract = "Aerodynamic canopy height (ha) is the effective height of vegetation canopy for its influence on atmospheric fluxes and is a key parameter of surface-atmosphere coupling. However, methods to estimate ha from data are limited. This synthesis evaluates the applicability and robustness of the calculation of ha from eddy covariance momentum-flux data. At 69 forest sites, annual ha robustly predicted site-to-site and year-to-year differences in canopy heights (R2 = 0.88, 111 site-years). At 23 cropland/grassland sites, weekly ha successfully captured the dynamics of vegetation canopies over growing seasons (R2 > 0.70 in 74 site-years). Our results demonstrate the potential of flux-derived ha determination for tracking the seasonal, interannual, and/or decadal dynamics of vegetation canopies including growth, harvest, land use change, and disturbance. The large-scale and time-varying ha derived from flux networks worldwide provides a new benchmark for regional and global Earth system models and satellite remote sensing of canopy structure.",

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AU - Baldocchi, Dennis D.

AU - Poindexter, Cristina

AU - Abraha, Michael

AU - Desai, Ankur R.

AU - Bohrer, Gil

AU - Arain, M. Altaf

AU - Griffis, Timothy J

AU - Blanken, Peter D.

AU - O'Halloran, Thomas L.

AU - Thomas, R. Quinn

AU - Zhang, Quan

AU - Burns, Sean P.

AU - Frank, John M.

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AU - Brown, Shannon

AU - Black, T. Andrew

AU - Gough, Christopher M.

AU - Law, Beverly E.

AU - Lee, Xuhui

AU - Chen, Jiquan

AU - Reed, David E.

AU - Massman, William J.

AU - Clark, Kenneth

AU - Hatfield, Jerry

AU - Prueger, John

AU - Bracho, Rosvel

AU - Baker, John M.

AU - Martin, Timothy A.

PY - 2018/9/16

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N2 - Aerodynamic canopy height (ha) is the effective height of vegetation canopy for its influence on atmospheric fluxes and is a key parameter of surface-atmosphere coupling. However, methods to estimate ha from data are limited. This synthesis evaluates the applicability and robustness of the calculation of ha from eddy covariance momentum-flux data. At 69 forest sites, annual ha robustly predicted site-to-site and year-to-year differences in canopy heights (R2 = 0.88, 111 site-years). At 23 cropland/grassland sites, weekly ha successfully captured the dynamics of vegetation canopies over growing seasons (R2 > 0.70 in 74 site-years). Our results demonstrate the potential of flux-derived ha determination for tracking the seasonal, interannual, and/or decadal dynamics of vegetation canopies including growth, harvest, land use change, and disturbance. The large-scale and time-varying ha derived from flux networks worldwide provides a new benchmark for regional and global Earth system models and satellite remote sensing of canopy structure.

AB - Aerodynamic canopy height (ha) is the effective height of vegetation canopy for its influence on atmospheric fluxes and is a key parameter of surface-atmosphere coupling. However, methods to estimate ha from data are limited. This synthesis evaluates the applicability and robustness of the calculation of ha from eddy covariance momentum-flux data. At 69 forest sites, annual ha robustly predicted site-to-site and year-to-year differences in canopy heights (R2 = 0.88, 111 site-years). At 23 cropland/grassland sites, weekly ha successfully captured the dynamics of vegetation canopies over growing seasons (R2 > 0.70 in 74 site-years). Our results demonstrate the potential of flux-derived ha determination for tracking the seasonal, interannual, and/or decadal dynamics of vegetation canopies including growth, harvest, land use change, and disturbance. The large-scale and time-varying ha derived from flux networks worldwide provides a new benchmark for regional and global Earth system models and satellite remote sensing of canopy structure.

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Temporal Dynamics of Aerodynamic Canopy Height Derived From Eddy Covariance Momentum Flux Data Across North American Flux Networks

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Keywords

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