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Selection: Zeng:X [2 articles] 

Publications by author Zeng:X.

A gridded global data set of soil, intact regolith, and sedimentary deposit thicknesses for regional and global land surface modeling

Journal of Advances in Modeling Earth Systems, Vol. 8, No. 1. (March 2016), pp. 41-65,


Earth's terrestrial near-subsurface environment can be divided into relatively porous layers of soil, intact regolith, and sedimentary deposits above unweathered bedrock. Variations in the thicknesses of these layers control the hydrologic and biogeochemical responses of landscapes. Currently, Earth System Models approximate the thickness of these relatively permeable layers above bedrock as uniform globally, despite the fact that their thicknesses vary systematically with topography, climate, and geology. To meet the need for more realistic input data for models, we developed a high-resolution ...


A MODIS-based global 1-km maximum green vegetation fraction dataset

Journal of Applied Meteorology and Climatology, Vol. 53, No. 8. (21 May 2014), pp. 1996-2004,


Global land-cover data are widely used in regional and global models because land cover influences land–atmosphere exchanges of water, energy, momentum, and carbon. Many models use data of maximum green vegetation fraction (MGVF) to describe vegetation abundance. MGVF products have been created in the past using different methods, but their validation with ground sites is difficult. Furthermore, uncertainty is introduced because many products use a single year of satellite data. In this study, a global 1-km MGVF product is developed on ...

Visual summary

  • Caption: [Excerpt from the article] Green vegetation fraction (GVF; Deardorff 1978) is widely used in global models [...] Along with leaf area index (LAI; Myneni et al. 2002), GVF is used to describe the abundance of vegetation in most global models [...] The Community Land Model (CLM; Lawrence and Chase 2007) currently uses estimates of maximum GVF from ‘‘Continuous Fields’’ (CF) data that are based on measurements from the Moderate Resolution Imaging
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