Validasi Data Global Navigation Satellite System Radio Occultation (GNSS RO) Misi Cosmic-2 Di Indonesia
Bilah Samping Artikel
Isi Artikel Utama
Abstrak
Profil vertikal atmosfer krusial untuk pemantauan cuaca, namun pengamatan radiosonde di Indonesia terkendala biaya dan cakupan spasial. Teknologi Global Navigation Satellite System Radio Occultation (GNSS RO) COSMIC-2 hadir sebagai alternatif efisien segala cuaca. Penelitian ini bertujuan memvalidasi data GNSS RO COSMIC-2 terhadap radiosonde di Indonesia menggunakan metode kuantitatif deskriptif dan komparatif. Analisis dilakukan pada 24 stasiun radiosonde dengan radius kolokasi 200 km, selang waktu dua jam, dan mencakup 11 lapisan tekanan (925–50 hPa) periode Juli 2020–Juni 2024. Data diolah dengan interpolasi logaritmik untuk menghitung rata-rata perbedaan serta standar deviasi. Hasil menunjukkan data COSMIC-2 memiliki kesesuaian yang baik pada parameter suhu dan kelembapan spesifik. Rata-rata perbedaan suhu nasional sebesar 0,102°C (standar deviasi 1,169°C), dengan Ranai sebagai wilayah paling sesuai (0,008°C) dan Medan tertinggi (0,214°C). Parameter kelembapan spesifik cenderung underestimate di lapisan bawah dengan rata-rata -0,102 g/kg (standar deviasi 4,768 g/kg); Jayapura mencatat hasil paling akurat (0,004 g/kg) dan Pangkalan Bun dengan bias terbesar (-0,541 g/kg). Temuan ini menegaskan bahwa GNSS RO COSMIC-2 merupakan sumber data atmosfer potensial dan andal untuk wilayah tropis Indonesia.
Rincian Artikel
Artikel ini berlisensi Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Referensi
[1] A. P. Cahyarini, L. Mareta, W. Retno Palutfi, D. Nada Almasah, and R. Afrilia Putri Haryandi, "Identifikasi gelombang mixed Rossby gravity pada fluktuasi vertikal atmosfer di wilayah Padang, Jakarta, dan Pontianak menggunakan data radiosonde dan GNSS-RO," Jurnal Sains & Teknologi Modifikasi Cuaca, vol. 24, no. 2, pp. 77–84, 2023.
[2] COSMIC Data Analysis and Archive Center (CDAAC). "COSMIC-2 | Constellation Observing System for Meteorology Ionosphere and Climate." Accessed: Dec. 9, 2024. [Online]. Available: https://www.cosmic.ucar.edu/global-navigation-satellite-system-gnss-background/cosmic-2
[3] B. Craig, G. McCabe, and D. Moore, Introduction to the Practice of Statistics. New York: W.H. Freeman and Company, 2014.
[4] E. A. Hala, A. Mousa, M. Yousef, and A. Mahrous, "Statistical validation of GNSS radio occultation data over Egypt," Advances in Basic and Applied Sciences, vol. 2, no. 1, pp. 29–45, 2024, doi: 10.21608/abas.2024.223245.1024.
[5] B. Hotz, L. Papritz, and M. Röthlisberger, "Understanding the vertical temperature structure of recent record-shattering heatwaves," Weather and Climate Dynamics, vol. 5, no. 1, pp. 323–343, 2024, doi: 10.5194/wcd-5-323-2024.
[6] H. C. Ko, H. Y. Chun, R. Wilson, and M. A. Geller, "Characteristics of atmospheric turbulence retrieved from high vertical-resolution radiosonde data in the United States," Journal of Geophysical Research: Atmospheres, vol. 124, no. 14, pp. 7553–7579, 2019, doi: 10.1029/2019JD030287.
[7] M. Kottek, J. Grieser, C. Beck, B. Rudolf, and F. Rubel, "World map of the Köppen-Geiger climate classification updated," Meteorologische Zeitschrift, vol. 15, no. 3, pp. 259–263, 2006, doi: 10.1127/0941-2948/2006/0130.
[8] S. Laroche and R. Sarrazin, "Impact of radiosonde balloon drift on numerical weather prediction and verification," Weather and Forecasting, vol. 28, no. 3, pp. 772–782, 2013, doi: 10.1175/WAF-D-12-00114.1.
[9] Y. Li, Y. Yuan, and X. Wang, "Assessments of the retrieval of atmospheric profiles from GNSS radio occultation data in moist tropospheric conditions using radiosonde data," Remote Sensing, vol. 12, no. 17, p. 2717, 2020, doi: 10.3390/rs12172717.
[10] J. C. Carvalho, F. M. Ramos, N. J. Ferreira, and H. F. Campos Velho, "Retrieval of vertical temperature profiles in the atmosphere," in Proceedings of 3rd Int. Conference on Inverse Problems on Engineering (3ICIPE), Port Ludlow, WA, USA, Jun. 13-18, 1999.
[11] T. Rieckh, R. Anthes, W. Randel, S. P. Ho, and U. Foelsche, "Evaluating tropospheric humidity from GPS radio occultation, radiosonde, and AIRS from high-resolution time series," Atmospheric Measurement Techniques, vol. 11, no. 5, pp. 3091–3109, 2018, doi: 10.5194/amt-11-3091-2018.
[12] University Corporation for Atmospheric Research (UCAR). "GNSS Radio Occultation | Constellation Observing System for Meteorology Ionosphere and Climate." Accessed: Dec. 9, 2024. [Online]. Available: https://www.cosmic.ucar.edu/what-we-do/gnss-radio-occultation
[13] J. M. Wallace and P. V. Hobbs, Atmospheric Science Second Edition. Oxford: Elsevier's Science & Technology Rights Department, 2006.
[14] B. R. Wang, X. Y. Liu, and J. K. Wang, "Assessment of COSMIC radio occultation retrieval product using global radiosonde data," Atmospheric Measurement Techniques, vol. 6, no. 4, pp. 1073–1083, 2013, doi: 10.5194/amt-6-1073-2013.
[15] WMO. "Details for Instrument: TGRS (COSMIC-2)." Accessed: Jan. 14, 2025. [Online]. Available: https://space.oscar.wmo.int/instruments/view/tgrs_cosmic_2
[16] K. Zhang, E. Fu, D. Silcock, Y. Wang, and Y. Kuleshov, "An investigation of atmospheric temperature profiles in the Australian region using collocated GPS radio occultation and radiosonde data," Atmospheric Measurement Techniques, vol. 4, no. 10, pp. 2087–2092, 2011, doi: 10.5194/amt-4-2087-2011.
[17] E. R. Kursinski, G. A. Hajj, J. T. Schofield, R. P. Linfield, and K. R. Hardy, "Observing Earth's atmosphere with radio occultation measurements using the Global Positioning System," Journal of Geophysical Research: Atmospheres, vol. 102, no. D19, pp. 23429–23465, 1997, doi: 10.1029/97JD01569.