Acknowledgement
이 연구는 기상청 「차세대 항공교통 지원 항공기상기술개발(NARAE-Weather)」(KMI2022-00310)의 지원과 기상지진 See-At기술개발연구사업(KMI2020-01910)의 지원으로 수행되었습니다. ADS-B 자료 수신 및 저장과 관련해서 항공기상청 정보기술과의 정강아 팀장님과 차세대항공기상팀 안광득 과장님, 김진원 팀장님 및 ADS-B 자료 수집과 관련된 항공기상청 관계자분들께 감사드립니다.
References
- Ballish, B. A., and V. K. Kumar, 2008: Systematic differences in aircraft and radiosonde temperatures: im-plications for NWP and climate studies. Bull. Am. Meteorol. Soc., 89, 1689-1708. https://doi.org/10.1175/2008BAMS2332.1
- Cardinali, C., L. Isaksen, and E. Andersson, 2003: Use and impact of automated aircraft data in a global 4DVAR data assimilation system. Mon. Wea. Rev., 131, 1865-1877. https://doi.org/10.1175//2569.1
- Dee, D. P., and Coauthors, 2011: The ERA-interim reanalysis: configuration and performance of the data assimilation system. Q. J. R. Meteorol. Soc., 137, 553-597, doi:10.1002/qj.828.
- de Haan, S., and Stoffelen, A. High resolution temperature and wind observations from commercial aircraft. In: Proceedings of the 8th International Symposium on Tropospheric Profiling; 19-23 October 2009; Delft, Netherlands.
- de Haan, S., 2011: High-resolution wind and temperature observations from aircraft tracked by mode-S air traffic control radar. J. Geophys. Res. Atmos., 116, D10111, doi:10.1029/2010JD015264.
- de Haan, S., M. de Haij, and J. Sondij, 2013: The Use of a Commercial ADS-B Receiver to Derive Upper Air Wind and Temperature Observations from Mode-S EHS Information in The Netherlands. Royal Netherlands Meteorological Institute (KNMI).
- de Leege, A. M. P., M. M. van Paassen, and M. Mulder, 2013: Using automatic dependent surveillance-broadcast for meteorological monitoring. J. Aircr., 50, 249-261, doi:10.2514/1.C031901.
- Drue, C., and G. Heinemann, 2001: Airborne investigation of arctic boundary-layer fronts over the marginal ice zone of the Davis Strait. Bound. Layer Meteorol., 101, 261-292. https://doi.org/10.1023/A:1019223513815
- Drue, C., W. Frey, A. Hoff, and T. Hauf, 2008: Aircraft type-specific errors in AMDAR weather reports from commercial aircraft. Q. J. R. Meteorol. Soc., 134, 229-239. https://doi.org/10.1002/qj.205
- Drue, C., T. Hauf, and A. Hoff, 2010: Comparison of boundary-layer profiles and layer detection by AMDAR and WTR/RASS at Frankfurt airport. Bound. Layer Meteorol., 135, 407-432, doi:10.1007/s10546-010-9485-0.
- Hersbach, H., and Coauthors, 2020: The ERA5 global reanalysis. Q. J. R. Meteorol. Soc., 146, 1999-2049, doi:10.1002/qj.3803.
- Huntley, M. S. Jr., J. W. Turner, C. S. Donovan, and E. Madigan, 1995: FAA Aircraft Certification Human Factors and Operations Checklist for Standalone GPS Receivers (TSO C129 Class A). Federal Aviation Administration, 230 pp.
- Kemp, D. E., 1968: Federal aviation administration air safety program. J. Air Law Commer., 34, 363.
- Kim, J.-H., and H.-Y. Chun, 2011: Statistics and possible sources of aviation turbulence over South Korea. J. Appl. Meteorol. Climatol., 50, 311-324, doi:10.1175/2010JAMC2492.1.
- Kim, J.-H., and H.-Y. Chun, 2012: A numerical simulation of convectively induced turbulence above deep convection. J. Appl. Meteorol. Climatol., 51, 1180-1200, doi:10.1175/JAMC-D-11-0140.1.x
- Kim, J.-H., J.-R. Park, S.-H. Kim, J. Kim, E. Lee, S.-W. Baek, and G. Lee, 2021: A detection of convectively induced turbulence using in situ aircraft and radar spectral width data. Remote Sens., 13, 726, doi:10.3390/rs13040726.
- Kim, S.-H., and H.-Y. Chun, 2016: Aviation turbulence encounters detected from aircraft observations: spatiotemporal characteristics and application to Korean aviation turbulence guidance. Meteorol. Appl., 23, 594-604, doi:10.1002/met.1581.
- Kim, S.-H., H.-Y. Chun, J.-H. Kim, R. D. Sharman, and M. Strahan, 2020: Retrieval of eddy dissipation rate from derived equivalent vertical gust included in aircraft meteorological data relay (AMDAR). Atmos. Meas. Tech., 13, 1373-1385, doi:10.5194/amt-13-1373-2020.
- Kim, S.-H., J. Kim, J.-H. Kim, and H.-Y. Chun, 2022: Characteristics of the derived energy dissipation rate using the 1 Hz commercial aircraft quick access recorder (QAR) data. Atmos. Meas. Tech., 15, 2277-2298, doi:10.5194/amt-15-2277-2022.
- Lee, D. K., H. R. Kim, and S. Y. Hong, 1998: Heavy rainfall over Korea during 1980~1990. Korean J. Atmos. Sci., 1, 32-50 (in Korean with English abstract).
- Moninger, W. R., R. D. Mamrosh, and P. M. Pauley, 2003: Automated meteorological reports from commercial aircraft. Bull. Am. Meteorol. Soc., 84, 203-216. https://doi.org/10.1175/BAMS-84-2-203
- Park, S. U., C. H. Joung, S. S. Kim, D. K. Lee, S. C. Yoon, Y. K. Jeong, and S. G. Hong, 1986: Synoptic-scale features of the heavy rainfall occurred over Korea during 1~3 September 1984. Asia-Pac. J. Atmos. Sci., 22, 42-81.
- Petersen, R. A., 2016: On the impact and benefits of AMDAR observations in operational forecasting-part I: a review of the impact of automated aircraft wind and temperature reports. Bull. Am. Meteorol. Soc., 97, 585-602, doi:10.1175/BAMS-D-14-00055.1.
- Sharman, R., C. Tebaldi, G. Wiener, and J. Wolff, 2006: An integrated approach to mid- and upper-level turbulence forecasting. Wea. Forecasting, 21, 268-287. https://doi.org/10.1175/WAF924.1
- Sharman, R., L. B. Cornman, G. Meymaris, J. Pearson, and T. Farrar, 2014: Description and derived climatologies of automated in situ eddy-dissipation-rate reports of atmospheric turbulence. J. Appl. Meteorol. Climatol., 53, 1416-1432, doi:10.1175/JAMC-D-13-0329.1.
- Stickland, J. J., 1998: An Assessment of Two Algorithms for Automatic Measurement and Reporting of Turbulence from Commercial Public Transport Aircraft. Bureau of Meteorology, 42 pp.
- Stoffelen, A., 1998: Toward the true near-surface wind speed: error modeling and calibration using triple collocation. J. Geophys. Res. Oceans, 103, 7755-7766. https://doi.org/10.1029/97JC03180
- Stone, E. K., and M. Kitchen, 2015: Introducing an approach for extracting temperature from aircraft GNSS and pressure altitude reports in ADS-B messages. J. Atmos. Ocean. Technol., 32, 736-743, doi:10.1175/JTECH-D-14-00192.1
- Trier, S. B., R. D. Sharman, and T. P. Lane, 2012: Influences of moist convection on a cold-season outbreak of clear-air turbulence (CAT). Mon. Wea. Rev., 140, 2477-2496, doi:10.1175/MWR-D-11-00353.1.
- Trier, S. B., and R. D. Sharman, 2018: Trapped gravity waves and their association with turbulence in a large thunderstorm anvil during PECAN. Mon. Wea. Rev., 146, 3031-3052, doi:10.1175/MWR-D-18-0152.1.
- World Meteorological Organization [WMO], 2003: Aircraft Meteorological Data Relay (AMDAR) Reference Manual. WMO, 80 pp.
- World Meteorological Organization [WMO], 2017: Guide to aircraft-based observations. WMO, 132 pp. [Available online at https://library.wmo.int/doc_num.php?explnum_id=4120] (Accessed 7 Jun 2022).
- WMO AMDAR Panel, 2007: The international AMDAR program. World Meteorol. Organ. Inf. Fly., 12, 141 pp.