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Efficacy of the Localized Aviation MOS Program in Ceiling Flight Category Forecasts
- Source :
- Atmosphere, Vol 10, Iss 3, p 127 (2019)
- Publication Year :
- 2019
- Publisher :
- MDPI AG, 2019.
-
Abstract
- (1) Background: Flying in instrument meteorological conditions (IMC) carries an elevated risk of fatal outcome for general aviation (GA) pilots. For the typical GA flight, aerodrome-specific forecasts (Terminal Aerodrome Forecast (TAF), Localized Aviation Model Output Statistics Program (LAMP)) assist the airman in pre-determining whether a flight can be safely undertaken. While LAMP forecasts are more prevalent at GA-frequented aerodromes, the Federal Aviation Administration (FAA) recommends that this tool be used as supplementary to the TAF only. Herein, the predictive accuracy of LAMP for ceiling flight categories of visual flight rules (VFR) and instrument flight rules (IFR) was determined. (2) Methods: LAMP accuracy was evaluated for the period of July–December 2018 using aviation-specific probability of detection (PODA), false alarm ratio (FARA) and critical success scores (CSSA). Statistical differences were determined using Chi-Square tests. (3) Results: LAMP forecasts (n = 823) across 39 states were accrued. LAMP PODA for VFR (0.67) and IFR (0.78) exceeded (p < 0.031) the corresponding TAF scores (0.57 and 0.56). For VFR, the LAMP showed a non-significant (p = 0.243) higher FARA (0.25) than the TAF (0.19). For IFR forecasts, the LAMP FARA was lower (p < 0.001) (0.48 and 0.81, respectively). LAMP CSSA scores exceeded the TAF for VFR (p = 0.012) and IFR forecasts (p < 0.001). (4) Conclusion: These findings support the greater integration of LAMP into pre-flight weather briefings.
Details
- Language :
- English
- ISSN :
- 20734433
- Volume :
- 10
- Issue :
- 3
- Database :
- Directory of Open Access Journals
- Journal :
- Atmosphere
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.2a57a9642a1441b957c6727c104273c
- Document Type :
- article
- Full Text :
- https://doi.org/10.3390/atmos10030127