COSMIC-2 GNSS RO 자료 활용을 위한 관측오차 개선 연구
A Study on Improvement of the Observation Error for Optimal Utilization of COSMIC-2 GNSS RO Data
1
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
In this study, for the application of observation errors to the Korean IntegratedModel (KIM) to utilize the Constellation Observing System for Meteorology, Ionosphere & Climate-2 (COSMIC-2) new satellites, the observation errors were diagnosed based on the Desroziersmethod using the cost function in the process of variational data assimilation. Wecalculated observation errors for all observational species being utilized for KIM and comparedwith their relative values. The observation error of the calculated the Global Navigation SatelliteSystem Radio Occultation (GNSS RO) was about six times smaller than that of other satellites. In order to balance with other satellites, we conducted two experiments in which the GNSSRO data expanded by about twice the observation error. The performance of the analysis fieldwas significantly improved in the tropics, where the COSMIC-2 data are more available, and inthe Southern Hemisphere, where the influence of GNSS RO data is significantly greater. In particular,the prediction performance of the Southern Hemisphere was improved by doubling theobservation error in global region, rather than doubling the COSMIC-2 data only in areas withhigh density, which seems to have been balanced with other observations.
Abstract
In this study, for the application of observation errors to the Korean IntegratedModel (KIM) to utilize the Constellation Observing System for Meteorology, Ionosphere & Climate-2 (COSMIC-2) new satellites, the observation errors were diagnosed based on the Desroziersmethod using the cost function in the process of variational data assimilation. Wecalculated observation errors for all observational species being utilized for KIM and comparedwith their relative values. The observation error of the calculated the Global Navigation SatelliteSystem Radio Occultation (GNSS RO) was about six times smaller than that of other satellites. In order to balance with other satellites, we conducted two experiments in which the GNSSRO data expanded by about twice the observation error. The performance of the analysis fieldwas significantly improved in the tropics, where the COSMIC-2 data are more available, and inthe Southern Hemisphere, where the influence of GNSS RO data is significantly greater. In particular,the prediction performance of the Southern Hemisphere was improved by doubling theobservation error in global region, rather than doubling the COSMIC-2 data only in areas withhigh density, which seems to have been balanced with other observations.
참고문헌 (13)
- Anthes, R. A., "Exploring earth’s atmosphere with radio occultation: contributions to weather, climate and space weather", Atmos. Meas. Tech, 4, pp.1077~1103 (2011)[DOI]
- Bauer, P., "GNSS radio occultation constellation system experiments", Mon. Wea. Rev, 142, pp.555~572 (2014)[DOI]
- Bonavita, M., "On some aspects of the impact of GPSRO observations in global numerical weather prediction", Quart. J. Roy. Meteor. Soc, 140, pp.2546~2562 (2014)[DOI]
- Cucurull, L., "Radio occultation observations as anchor observations in numerical weather prediction models and associated reduction of bias corrections in microwave and infrared satellite observations", J. Atmos. Oceanic Technol, 31, pp.20~32 (2014)[DOI]
- Desroziers, G., "Diagnosis of observation, background and analysiserror statistics in observation space", Quart. J. Roy. Meteor. Soc, 131, pp.3385~3396 (2005)[DOI]
- Ho, S.-P., "The COSMIC", FORMOSAT-3 radio occultation mission after 12 years:accomplishments, remaining challenges, and potential impacts of COSMIC-2, 2020, pp.101, e1107~e1136
- 홍송유, "The Korean Integrated Model (KIM) System for Global Weather Forecasting", Asia-Pacific Journal of Atmospheric Sciences, 54, pp.267~292 (2018), 한국기상학회[DOI]
- 김은희, "한국형모델의 신규 GNSS RO 자료 활용과 품질검사 개선에 관한 연구", 대기, 31(3), pp.251~265 (2021), 한국기상학회[DOI]
- Kwon, H., "Implementation of a GPS-RO data processing system for the KIAPS-LETKF data assimilation system", Atmos. Meas. Tech, 8, pp.1259~1273 (2015)[DOI]
- Lien, G. -Y., "Assimilation impact of early FORMOSAT-7", COSMIC-2 GNSS radio occultation data with Taiwan’s CWB global forecast system, 2021, pp.149, 2171~2191
- Ruston, B, "Forecast impact of FORMOSAT‐7", COSMIC‐2 GNSS radio occultation measurements, 2020, pp.22, e1019~
- Schreiner, W. S., "COSMIC‐2 Radio Occultation Constellation: First Results", Geophys. Res. Lett, 47 (2020)[DOI]
- Shao, H., "COSMIC‐2 NWP assessment and implementation at JCSDA and NCEP", Fifth Int. Conf. on GPS radio occultation (2020)