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
RAL has been engaged with the research community to develop an integrated modeling system that captures interactions between weather, climate, crop growth, urbanization, and hydrology. Developing... 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
The Dynamic Integrated foreCast (DICast®) system is tasked with ingesting meteorological data (observations, models, statistical data, climate data, etc.) and producing meteorological forecasts at... more
GRAFS (GRidded Atmospheric Forecast System) is a software system that is designed to... more
A collaborative effort among NCAR, NCEP, NASA, and university groups has been... 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
