항공기 온도 관측 자료의 편향 보정 Part I: 존데와 비교를 통한 온도 편향 특성 분석
Bias Correction for Aircraft Temperature Observation Part I: Analysis of Temperature Bias Characteristics by Comparison with Sonde Observation
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초록
In this study, the temperature bias of aircraft observation was estimated through comparison with sonde observation prior to developing the temperature bias correction method at the Korea Institute of Atmospheric Prediction Systems (KIAPS). First, we tried to compare aircraft temperature with collocated sonde observations at 0000 UTC on June 22, 2012. However, it was difficult to estimate the temperature bias due to the lack of samples and the uncertainty of the sonde position at high altitudes. Second, we attempted a background innovation comparison for sonde and aircraft using KIAPS Package for Observation Processing (KPOP). The one month averaged background innovation shows the aircraft temperature have a warm bias against sonde for all levels. In particular, there is a globally distinct warm bias about 0.4 K between 200 hPa and 300 hPa corresponding to flight level. Spatially, most of the areas showed the warm bias except for below 300 hPa in some part of China at 0000 and 1200 UTC and below 850 hPa in Australia at 0000 UTC. In general, the temperature bias was larger at 1200 UTC than 0000 UTC. Based on the estimated temperature bias, we have applied the static bias correction method to the aircraft temperature observation. As a result, the warm bias of the aircraft temperature has decreased at most levels, but a slight cold bias has occurred in some areas.
Abstract
In this study, the temperature bias of aircraft observation was estimated through comparison with sonde observation prior to developing the temperature bias correction method at the Korea Institute of Atmospheric Prediction Systems (KIAPS). First, we tried to compare aircraft temperature with collocated sonde observations at 0000 UTC on June 22, 2012. However, it was difficult to estimate the temperature bias due to the lack of samples and the uncertainty of the sonde position at high altitudes. Second, we attempted a background innovation comparison for sonde and aircraft using KIAPS Package for Observation Processing (KPOP). The one month averaged background innovation shows the aircraft temperature have a warm bias against sonde for all levels. In particular, there is a globally distinct warm bias about 0.4 K between 200 hPa and 300 hPa corresponding to flight level. Spatially, most of the areas showed the warm bias except for below 300 hPa in some part of China at 0000 and 1200 UTC and below 850 hPa in Australia at 0000 UTC. In general, the temperature bias was larger at 1200 UTC than 0000 UTC. Based on the estimated temperature bias, we have applied the static bias correction method to the aircraft temperature observation. As a result, the warm bias of the aircraft temperature has decreased at most levels, but a slight cold bias has occurred in some areas.
참고문헌 (14)
- Ballish, B., "Comparision of aircraft and radiosonde temperature biases at NCEP", 10th Symp. On Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface (IOAS-AOLS) (2006), Amer. Meteor. Soc
- Benjamin, S. G., "Accuracy of ACARS wind and temperature observations determined by collocation", Wea. Forecasting, 14, pp.1032~1038 (1999)
- Mark Buehner, "Implementation of Deterministic Weather Forecasting Systems Based on Ensemble–Variational Data Assimilation at Environment Canada. Part I: The Global System", Monthly Weather Review, 143(7), pp.2532~2559 (2015), American Meteorological Society[DOI]
- Cardinali, C., "Use and impact of automated aircraft data in a global 4DVAR data assimilation system", Mon. Wea. Rev, 131, pp.1865~1877 (2003)
- "Determination of new adjustment tables in order to bring radiosonde temperature and height measurements from different sonde types into relative agreement. EMC/NCEP/NOAA" (1999)[URL]
- Ha, J. -H., "Use and impact of sonde, aircraft and satellite observations in the KIM-3DVAR system", Proceedings, The spring meeting of the Korean Meteorological Society, pp.151~152 (2015), KMS
- 홍송유, "The Korean Integrated Model (KIM) System for Global Weather Forecasting", Asia-Pacific Journal of Atmospheric Sciences, 54, pp.267~292 (2018), 한국기상학회[DOI]
- 강전호, "Development of an Observation Processing Package for Data Assimilation in KIAPS", Asia-Pacific Journal of Atmospheric Sciences, 54, pp.303~318 (2018), 한국기상학회[DOI]
- "AMDAR reference manual" (2003)[URL]
- 박옥란, "ACARS 자료의 비교·검증 및 분석 민감도에 대한 연구", Asia-Pacific Journal of Atmospheric Sciences, 38(4), pp.333~342 (2002), 한국기상학회
- Ralph Alvin Petersen, "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", Bulletin of the American Meteorological Society, 97(4), pp.585~602 (2016), American Meteorological Society[DOI]
- Sako, H., "Research Activities in Atmospheric and Oceanic Modelling", pp.S1~S33 (2010), WMO
- Schwartz, B., "A comparison of temperature and wind measurements from ACARSequipped aircraft and rawinsondes", Wea. Forecasting, 10, pp.528~544 (1995)
- WMO, "Guide to Aircraft-based Observations", World Meteorological Organization, 132~ (2017)