Hyper-resolution Terrestrial Forcing (HTF): Development, evaluation and global production
Houser, P., 2013-2016: Hyper-resolution Terrestrial Forcing (HTF): Development, evaluation and global production. Step-1 Proposal submitted to NASA-ROSES-2012 A4: Terrestrial Ecology (NNH12ZDA001N-TE), 0.1 FTE/yr (CREW). Agency POC:Dr. Diane Wickland (202/358-0245, diane.e.wickland@nasa.gov)
Summary: I propose to develop a global, hourly, 500-m Hyper-resolution Terrestrial Forcing (HTF) land surface weather boundary condition dataset (near-surface air temperature and humidity, wind speed and direction, incident longwave and shortwave radiation, and precipitation), spanning ~5 years (2010-2014). The HTF dataset will be based on a globally downscaled numerical weather forecast analysis first guess, integrated with satellite observed precipitation, radiation and temperature. Temporal and spatial downscaling will be performed using a combination of topographic interpolation (temperature/humidity lapse rate corrections, radiation slope corrections) and an artificial neural network trained with satellite-derived air temperature, land use, topography and high-resolution weather observation networks. Additional sanity, quality control, buddy and consistency checks will be made for the seven downscaled and integrated HTF variables. Evaluation will be performed using data withholding experiments and observations from research networks to determine HTF dataset uncertainty estimates.