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