Publications

Schaperow, JR; Li, DY; Margulis, SA; Lettenmaier, DP (2021). A near-global, high resolution land surface parameter dataset for the variable infiltration capacity model. SCIENTIFIC DATA, 8(1), 216.

Abstract
Hydrologic models predict the spatial and temporal distribution of water and energy at the land surface. Currently, parameter availability limits global-scale hydrologic modelling to very coarse resolution, hindering researchers from resolving fine-scale variability. With the aim of addressing this problem, we present a set of globally consistent soil and vegetation parameters for the Variable Infiltration Capacity (VIC) model at 1/16 degrees resolution (approximately 6 km at the equator), with spatial coverage from 60 degrees S to 85 degrees N. Soil parameters derived from interpolated soil profiles and vegetation parameters estimated from space-based MODIS measurements have been compiled into input files for both the Classic and Image drivers of the VIC model, version 5. Geographical subsetting codes are provided, as well. Our dataset provides all necessary land surface parameters to run the VIC model at regional to global scale. We evaluate VICGlobal's ability to simulate the water balance in the Upper Colorado River basin and 12 smaller basins in the CONUS, and their ability to simulate the radiation budget at six SURFRAD stations in the CONUS.

DOI:
10.1038/s41597-021-00999-4

ISSN: