| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6537901 | Agricultural and Forest Meteorology | 2013 | 13 Pages |
Abstract
⺠We developed statistical models to describe the error structures of 3 different ET products. ⺠We use these models to conduct variable important and partial dependence analysis. ⺠Canopy indices EVI and LAI and flux magnitudes were strongest drivers of error. ⺠The decoupling coefficient and resistance terms were not strong drivers of error. ⺠Combined flux models or soil moisture estimation may improve ET model performance.
Related Topics
Physical Sciences and Engineering
Earth and Planetary Sciences
Atmospheric Science
Authors
Aaron Polhamus, Joshua B. Fisher, Kevin P. Tu,