ANALYSIS OF THE SPATIOTEMPORAL HETEROGENEITY OF DRIVERS ON PROVINCE-LEVEL SYNERGY OF AIR POLLUTION CONTROL AND CARBON MITIGATION IN CHINA

Most studies of phenological estimates focusing on the phenology (RSP) retrieval algorithms based on remote sensing data, however, published studies that comparing process-based phenology models are limited. In this study, we evaluated two common used phenological algorithms in a land surface model (LSM) with selected eddy covariance flux tower measurements. We concluded the growing season index algorithm has good performance and can reasonably capture vegetation phenological changes in LSMs.