[field_related_solution_area] Products

FINECAST® Nowcasting System: High Resolution AnalysisImproving Nowcasting via Data Assimilation

Fine-Scale Analysis and Nowcast System (FINECAST®) is used by the research community to study... 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)

The Global Climatology Analysis Tool (GCAT) is capable of generating fine-scale (3.3km) climatological analyses anywhere around the globe. For example, in a given month, analyses for each of the... more

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)
Objective

Technology developed in this project utilizes Chemical, Biological, Radiological, Nuclear (CBRN), and meteorological sensor readings along with transport and dispersion models to... more

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)
Objective

To improve meteorological support through the development and application of new technologies.

Description

The Four-Dimensional Weather (4DWX) System is the product of twelve years... more

Four-Dimensional Weather (4DWX) System
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.
Gridded ForecastingSample image of the surface air temperature generated by GRAFS at 21 UTC on April 8, 2009.

GRAFS (GRidded Atmospheric Forecast System) is a software system that is designed to... more

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

Analog ensemble (AnEn)

We have developed a software tool, the SOM-Assisted Hazard Area Risk Analysis (SAHARA), to reduce large climate datasets to more manageable sizes - yet statistically similar - which are then used... more

SAHARA
BACKGROUND

Atmospheric releases of hazardous materials, either accidental or intentional, continue to pose a viable threat to both United States citizens, as well as troops abroad and at home.  To... more

Modeling the population dynamics of dengue vector mosquito Aedes aegypti is often done using dynamic life cycle models that simulate the life cycles of cohorts of mosquitoes using a mechanistic... more

WHATCH’EM (Water Height And Temperature in Container Habitats Energy Model)

FastEddy limited area domain simulation with the cell perturbation method for resolved turbulence instigation (top) versus a periodic domain reference simulation (bottom). This feature allows... more

FastEddy®

VDRAS relies on data assimilation, a technique for combining real-world observations and computer model output to create a more accurate forecast.

VDRAS has a very fast update cycle,... more

VDRAS