[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

FINECAST®

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

Ensemble-RTFDDA

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

RTFDDA-LES

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

4D-REKF

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