Research Article
Aerodrome Warning Verification Using Quality Measurement of Contingency Table (Case Study in Jakarta and Tanjungpinang)
@INPROCEEDINGS{10.4108/eai.2-8-2019.2290486, author={Mochammad Donny Anggoro and Diana Cahaya Siregar and Regina Dara Ninggar and Laksita Widomurti}, title={Aerodrome Warning Verification Using Quality Measurement of Contingency Table (Case Study in Jakarta and Tanjungpinang)}, proceedings={Proceedings of the 1st International Conference on Statistics and Analytics, ICSA 2019, 2-3 August 2019, Bogor, Indonesia}, publisher={EAI}, proceedings_a={ICSA}, year={2020}, month={1}, keywords={aerodrome warning awos weather forecast}, doi={10.4108/eai.2-8-2019.2290486} }- Mochammad Donny Anggoro
Diana Cahaya Siregar
Regina Dara Ninggar
Laksita Widomurti
Year: 2020
Aerodrome Warning Verification Using Quality Measurement of Contingency Table (Case Study in Jakarta and Tanjungpinang)
ICSA
EAI
DOI: 10.4108/eai.2-8-2019.2290486
Abstract
Improvement in Aerodrome Warning (AW) nowcasts need better prediction for supporting the safety and security of air traffic from extreme weather. AW consists of weather conditions, wind direction and wind speed, and visibility with observing time and validity time of forecast. Weather forecast verification is important for all stakeholders in the airport, so they can prepare and have plans to mitigate undesirable activity disturbance. AW and Automated Weather Observing System (AWOS) data are from Soekarno-Hatta Meteorological Station (07L) and Tanjungpinang Meteorological Station for January to April2019. Statistic test using hits, false alarm, misses, the correct negative is to find the score of POD, Bias, FAR, TS, and HSS which is to measure the magnitude of AW. Overall, AW has good accuracy to predict the extreme weather in the aerodrome.