Article published recently
Zhang, L., Lei, H., Shen, H., Cong, Z., Yang, D., & Liu, T. (2019). Evaluating the representation of vegetation phenology in the Community Land model 4.5 in a temperate grassland. Journal of Geophysical Research: Biogeosciences, 124(2), 187-210.
Plain Language Summary
Vegetation plays an important role in terrestrial ecosystems and affects both water and carbon cycles. It is crucial to predict vegetation phenology accurately to understand the Earth’s ecosystems better. In this study, we evaluated the performance of the Community Land Model 4.5 (CLM4.5) on simulating temperate grassland phenology with remote sensing LAI dataset. Results show that although the CLM could partly capture the seasonal patterns of LAI for temperate grasslands, shortcomings lie in a delayed end date of growing season and a problematic senescence existed in early summer. With the key phenology parameters adjusted, the modelled temperate grassland phenology has been substantially improved. This study provides an effective improvement on temperate grassland phenology modelling.
Figure: Spatial patterns of the mean annual GPP (a–c) and ET (d–f) averaged between 2003 and 2014 by CLM‐default, CLM‐adjusted, and the differences in between. CLM = Community Land Model; GPP = gross primary productivity; ET = evapotranspiration.