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Temporal Dynamics of Aerodynamic Canopy Height Derived From Eddy Covariance Momentum Flux Data Across North American Flux Networks, 2018


Chu, H., Baldocchi, D.D., Poindexter, C., Abraha, M. , Desai, A.R., Bohrer, G., Arain, M.A., Griffis, T., Blanken, P.D., O'Halloran, T.L., Thomas, R.Q., Zhang, Q., Burns, S.P., Frank, J.M., Christian, D., et al.


Geophysical Research Letters 45 (17) :9275-9287
DOI: 10.1029/2018GL079306

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.

Keywords

momentum flux, Ameriflux, eddy covariance, canopy height, phenology

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Citation

Chu, H., Baldocchi, D.D., Poindexter, C., Abraha, M. , Desai, A.R., Bohrer, G., Arain, M.A., Griffis, T., Blanken, P.D., O'Halloran, T.L., Thomas, R.Q., Zhang, Q., Burns, S.P., Frank, J.M., Christian, D., et al. , (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 , DOI: 10.1029/2018GL079306

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This material is based upon work supported by the National Science Foundation under Cooperative Agreement #DEB-1637686. Any opinions, findings, conclusions, or recommendations expressed in the material are those of the author(s) and do not necesarily reflect the views of the National Science Foundation.

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