Verification of clear-air turbulence forecasts
نویسنده
چکیده
منابع مشابه
Clear-Air Turbulence Impact Modeling Based on Flight Route Analysis
In this study, a Route-Based Turbulent-Weather Avoidance Model (TWAM-R) is presented. TWAM-R improves a previously reported trajectory-based model which was tactical in nature. TWAM-R considers more strategic turbulence-avoidance decisions that are based on turbulence forecasts and pilot reports (PIREPs). TWAM-R identifies areas of reduced capacity and areas of potential hazards due to congesti...
متن کاملStudy of Clear Air Turbulence over Iranian Plato
This study was carried out using two sets of numerical weather forecast data and flight reports for Clear Air Turbulence (CAT) over Iranian Plato to find atmospheric flow patterns favorable to the formation of CAT. The numerical data include five months of AVN analysis with horizontal resolution of 1 degree(about 100 km) and four months forecast data of MM5 model with resolution of 50 km. Impor...
متن کاملVerification of the Mountain Wave Forecast Model’s Stratospheric Turbulence Forecasts Using Sounding Data and Pilot Reports Thesis
Since stratospheric turbulence (Stratoturb) is becoming an increased concern to the Air Force, the threat of damage to aircraft must be addressed. Therefore, the Air Force Weather Agency (AFWA) requests an accurate Stratoturb forecast model. In 2002, The Mountain Wave Forecast Model (MWFM) was modified in order to develop a Stratoturb forecast tool. Turbulence forecasts generated twice daily by...
متن کاملAn Artificial Intelligence Approach to Operational Aviation Turbulence Forecasting
Turbulence is a major aviation hazard for both commercial and private aircraft. Currently, the clear-air turbulence forecasting tool Graphical Turbulence Guidance (GTG) is used by airline meteorologists and dispatchers for flight planning, and in part to determine operational Airman’s Meteorological Information (AIRMET) turbulence advisories; however, GTG has much higher resolution and intensit...
متن کاملQualitative Reasoning About Small-Scale Turbulence in an Operational Setting
The main challenges in predicting the weather are insufficient computational power and gaps in our understanding of the complex dynamics of atmospheric phenomena. There are comparatively straightforward solutions to these problems: enough teraflops, the right equations. But what happens when you have neither? This is the problem facing aviation turbulence forecasters, who are charged with the t...
متن کامل