Development of a 50-Year High-Resolution Global Dataset of Meteorological Forcings for Land Surface Modeling

摘要: Abstract Understanding the variability of terrestrial hydrologic cycle is central to determining potential for extreme events and susceptibility future change. In absence long-term, large-scale observations components cycle, modeling can provide consistent fields land surface fluxes states. This paper describes creation a global, 50-yr, 3-hourly, 1.0° dataset meteorological forcings that be used drive models hydrology. The constructed by combining suite global observation-based datasets with National Centers Environmental Prediction–National Center Atmospheric Research (NCEP–NCAR) reanalysis. Known biases in reanalysis precipitation near-surface meteorology have been shown exert an erroneous effect on modeled water energy budgets are thus corrected using precipitation, air temperature, radiation. Corrections also made ra...