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IMS4 AWDSS

Product catalog summary

Overview: The IMS4 AWDSS is an advanced Aviation Weather Decision Support System designed to enhance airport operations by providing reliable detection and data integration of weather phenomena. It processes real-time data from various sources to support tactical decision-making during different flight phases such as take-off, departure, descent, and landing.

Key Features:

Detection and Forecasting: The system includes algorithms and models for detecting thunderstorms, low-level windshear, microbursts, gust fronts, turbulence, and fog. It utilizes NWP models for accurate weather predictions.
Data Integration: Integrates data from local AWOS, ARWIS, LLWAS systems, weather radars, surface observations, meteorological satellites, and more to provide a comprehensive weather picture.
Visualization: Uses color status signalization to visualize hazards and alerts related to airport and runway operations.

System Components:

Local AWOS/ARWIS Data: Provides real-time meteorological data including temperature, wind, pressure, visibility, and runway conditions.
WMO/ICAO Exchange Networks: Interfaces with AFTN/AMHS/GTS networks to process METAR/SPECI observations and TAF forecasts.
Low Level Windshear Detection: Integrated with UCAR Phase III compliant LLWAS system for windshear and microburst alerts.
NWP Model: Utilizes the WRF model for high-resolution weather predictions, configurable for different domains and subdomains.
Fog Detection and Forecasting: Employs a 3D regional weather prediction model and a 1D fog prediction model for accurate fog forecasts.
Thunderstorm and Microburst Detection: Algorithms for identifying, tracking, and forecasting thunderstorms and detecting microbursts using Doppler radar data.

Infrastructure: The IMS4 AWDSS can be deployed on Linux servers or in a private cloud environment, supporting data acquisition, model execution, and web presentation.

Applications: The system supports various aviation applications including wake vortex prediction, volcanic ash movement prediction, and runway wind shear detection.

Catalog excerpts

Aviation Weather Decision Support System Reliable detection & data integration

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Aviation Weather Decision Support System FEATURES: • Detection, nowcast and forecast of phenomena affecting the airport operation • Data integration from multiple sources • Detection and nowcasting algorithms and forecasting models: • • • • • • Thunderstorm Low level windshear and microburst Gust fronts Turbulence Fog NWP models In order to provide the air traffic controllers and meteorologists with the accurate operational information the IMS4 AWDSS processes the real-time data from various sources: local AWOS, ARWIS and LLWAS systems, weather radars, surface observations from the WMO/ICAO exchange...

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Aviation Weather Decision Support System IMS4 AWDSS System Overview Local AWOS/ARWIS Data The local AWOS and ARWIS system are the source of the accurate real time meteorological data: temperature/dew point, wind, pressure, visibility/cloudbase, runway temperature and runway state. Additional sensors like soil thermometers and soil moisture probes as well as cameras may provide the auxiliary information to the models and algorithms. Data from WMO/ICAO Exchange Networks Having the interface to the AFTN/AMHS/GTS Exchange networks the AWDSS receives and processes the METAR/ SPECI observation and...

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Aviation Weather Decision Support System System description Gust Front Detection Algorithm This algorithm allows to detect gust fronts form Doppler weather radar data or LIDAR data. Inputs: • Reflectivity • Doppler velocity • Polarimetric data are not necessary, but if available, they increase the quality of results Output is image with gust front position and wind speed values accompanying the front, that is overlaid with airport map. Depending on the system configuration, the IMS4 AWDSS runs on the several Linux duplicated servers dedicated to data acquisition and communication, servers running...

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