[field_related_solution_area] Products

High Resolution Analysis

Rapid updated high-resolution meteorological analysis is one  of the key requirements for the improvement of forecasting  various hazardous weather events. Operational... more


VLAS represents the Doppler lidar variant of VDRAS.  VLAS provides very high-resolution wind information at the neighborhood scale and has been used to study atmospheric transport and diffusion in... more

Variational Lidar Assimilation System (VLAS)

The RT-FDDA system was developed to provide high-resolution analyses and short-term (0 – 12 h) forecasts, although recent advances in computing power enable longer outlooks to be generated.  RT-... more

Real-Time Four-Dimensional Data Assimilation (RT-FDDA)
Global Climatology Analysis Tool (GCAT)

Climate-FDDA uses the RT-FDDA system (MM5/WRF mesoscale model + assimilation of observations) to build a database of gridded “weather” phenomena over a particular region of earth

“Weather... more

Climate-Four Dimensional Data Assimilation (C-FDDA)
Sensor Data Fusion (SDF)

To support testing and evaluation of SDF, RAL is also developing a virtual testing and evaluation environment, known as Virtual THreat-Response Emulation and Analysis Testbed (VTHREAT). This will... more

Virtual THreat-Response Emulation and Analysis Testbed (VTHREAT)
Four-Dimensional Weather (4DWX) System

VLES-scale NWP at DX ~100 – 300m grids

New advances in computing allow regional NWP down to VLES and LES scales. NCAR has launched real-time WRF-RTFDDAVLES system for US Army DPG, Utah. VLES... more
Very Large-Eddy Simulation (VLES)
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.
DICast® System
LOGICast™ software system

Two new postprocessing methods are proposed to reduce numerical weather prediction’s systematic and random errors. The first method consists of running a postprocessing algorithm inspired by the... more

Analog Kalman Filter (AnKF)

Real-time ensemble RTFDDA forecasting system combines real-time WRF-based FDDA technologies and a probabilistic forecast calibration technology for producing reliable real-time probabilistic wind/... more


RTFDDA-LES extends real-world numerical weather prediction to large-eddy-simulation (LES) scales, with grid sizes down to ~30m. The NCAR WRF-based RTFDDA system is formulated for simultaneously... more


4-D relaxation ensemble Kalman Filter (4D-REKF) data assimilation and forecasting system. 4D-REKF integrates and leverages the cutting-edge ensemble Kalman filter (ENKF) data assimilation scheme,... more


As part of NASA and NREL funded projects, a new method has been proposed and demonstrated for the long-term estimate of the wind speeds at a target site, a key step in wind resource assessments (... more