[field_related_solution_area] Products

High-Resolution Land Data Assimilation System (HRLDAS)

The High-Resolution Land Data Assimilation System (HRLDAS) is an offline driver of the land surface models present in the Weather Research and... more

HRLDAS-produced volumetric surface soil moisture at 4-km resolution over the central United States.

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

Unified Noah LSM
WRF Model Output

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

WRF model output showing simulated radar reflectivity (dBZ) for Typhoon Mawar at 3.3-km (2.1-mi) grid spacing. Time period is from 0000 UTC 22 August 2005 to 0000 UTC 24 August 2005.

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

10-day high-resolution soil-moisture prediction generated by combining DICast® and HRLDAS.
DICast® System
LOGICast™ software system

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

Observed and modeled Snow Water Equivalent (SWE) by six land surface models, averaged over 112 SNOTEL sites.

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

WRF Noah Noah-MP Modeling System