Pendeteksian lightning dan thunderstorm pada area ruang udara bandara Jog/Wahh Adisutjipto International Airport dan Yogyakarta International Airport

Indro Lukito, Intan Dyah Pradnjaparamitha, Bambang Sudibya, Denny Dermawan

Abstract

Daerah Istimewa Yogyakarta have Yogyakarta International Airport and  Adisutjipto International Airport to serve both of civil and military flight mission. Airport must be supported by weather information system for the flight safety. One of any methodes to detect bad weather is using radiosonde to record weather moving in every step of atmospheric level. Using indexes of weather detection can predict the developing weather and presented thunderstorm, lightning and any storm in both of airport area. The significant weather such as thunderstorm and lightning shall be a big danger for the flight which are located n its weather area and must avoid its area. The research focused to operating of radiosonde and how to analyze the becoming weather worst by calculating the weathar indexes of reported radiosonde recording. The result of its analyze is usefull for pilots especially in any steps of the flight, takeoff , approach and landing. Operating of radiosonde equipment which consist of ground equipment, antenna system, Global Positioning System, software of MGPS2, provided any transmission data that can be used to predict possibility bad weather and presented storm. The results of this research are lightning density in Weather Zone A Yogyakarta International Airport is      dA=17,97715 lightning/km2.yr with lightning threat level classified as “MIDDLE”. Lightning density in Weather Zone B Adisutjipto International Airport is dB=9,346163 lightning/km2.yr with lightning threat level classified as “LOW”. There were presented thunderstorm caused by high convection of heat in the atmosphere with possibility presented storm up to 75% in the bad weather condition.

 

Keywords

flight safety, radiosonde, thunderstorm, lightning

References

AMS Glossary of Meteorology, 1990

Budiarti M. Muslim & Ilhamsyah, 2015. Studi Indeks Stabilitas Udara Terhadap Prediksi Badai Guntur

Djazim Syaifullah, 2010. Potensi Atmosfer Dalam pembentukan Awan Konvektif Pada Pelaksanaan Teknologi Modifikasi Cuaca di Das Kotopanjang dan Das Singkarak

Djuric D, 1994. Weather Analysis, Prentice-Hall Inc.

Lukito Indro,2017. Diktat Meteorology penerbangan. Merpati Training Center.

Minder JRPW dan ID Lundquist, 2010. Surface Temperature Lapse Rate Over Complex Terrain.

Niviani RM, 2016. Analisis Potensi Badai Guntur dengan Metode Rapid Miner dan Fuzzy Logic.

Roger, 1979, A Short Course In Cloud Physic, 2nd edition, Pergamon Press.

Salby,1996. Fundamental of Atmospheric Physic, Volume 61, Academic Press, Sandiego

Simson Garfinkel, 2011. The Cloud Imperative – Technology review (MIT)

Stull BR, 1988. An Introduction to Boundary Layer Meteorology

Tonny Gunawan dan Lestari Naomi Lydia Pandiangan, 2014. Kajian Tingkat Sambaran Petir – balai Besar Meteorologi Klimatologi dan Geofisika

Ulfah Kurnia, Didik Sugianto, Rahmat Urdani, 2017. Analisis Potensi Thunderstorm di Suntan Iskandar Muda Menggunakan Metode SWEAT

Wallace Jhon, and Peter V Hobbs, 1977. Atmosphecric Science and Introduction Survey. Academic Press, New York

Sensirion. 2007. SHT1x Humidity and Temperature Sensor.

Pramana P Agusto., 2012, Rancang Bangun Alat Pengukur Suhu, Kelembapan dan Tekanan Udara . Akademi Meteorologi dan Geofisika Jakarta

Toruan, Kanton L., 2009. Automatic Weather Station (AWS) Berbasis Mikrokontroler Tesis, Program Pasca Sarjana Fakultas MIPA UI, Depok

Edward Aguado, and James E.burt. Understanding Weather and Climate. New Jersey : Pearson Prentice Hall, 2017

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