The High-Resolution Land Data Assimilation System (HRLDAS) is an offline driver of the land surface models present in the Weather Research and... more
RAL scientists work to understand, through theoretical and observational studies, the complex biophysical, hydrological, and bio-geochemical interactions between the land-surface and the... more
The Weather Research and Forecasting (WRF) Model is a next-generation mesoscale numerical weather prediction system designed to serve both atmospheric research and operational... more
A High-Resolution Land-Data Assimilation System (HRLDAS) was developed at NCAR/RAL to provide analysis and prediction of high-resolution soil and vegetation conditions. The advantage of... more
Noah-MP is a land surface model (LSM) using multiple options for key land-atmosphere interaction processes (Niu et al., 2011). Noah-MP contains a separate vegetation canopy defined by a canopy top... more
The WRF/Noah LSM Coupled system consists of a large number of comprehensive terristrial data sets, their processing onto WRF grid through WRF/SI and Real routines, and the Unified Noah LSM as part... more
