1. Temporal Dynamics of Aerodynamic Canopy Height Derived From Eddy Covariance Momentum Flux Data Across North American Flux Networks
- Author
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Chu, H, Baldocchi, DD, Poindexter, C, Abraha, M, Desai, AR, Bohrer, G, Arain, MA, Griffis, T, 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, and Martin, TA
- Subjects
momentum flux ,AmeriFlux ,eddy covariance ,canopy height ,phenology ,Meteorology & Atmospheric Sciences ,MD Multidisciplinary - 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.
- Published
- 2018