[논문]COSMIC-2 GNSS RO 자료 활용을 위한 관측오차 개선 연구

김은희; 조영순; 전형욱; 하지현; 김승범

doi:10.14191/atmos.2023.33.1.033

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 원문보기

대기 = Atmosphere, v.33 no.1, 2023년, pp.33 - 47

김은희 (수치모델링센터 수치자료응용과) , 조영순 (수치모델링센터 수치자료응용과) , 전형욱 (수치모델링센터 수치자료응용과) , 하지현 (수치모델링센터 수치자료응용과) , 김승범 (수치모델링센터 수치자료응용과)

Abstract ▼ AI-Helper

In this study, for the application of observation errors to the Korean Integrated Model (KIM) to utilize the Constellation Observing System for Meteorology, Ionosphere & Climate-2 (COSMIC-2) new satellites, the observation errors were diagnosed based on the Desroziers method using the cost function in the process of variational data assimilation. We calculated observation errors for all observational species being utilized for KIM and compared with their relative values. The observation error of the calculated the Global Navigation Satellite System 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 GNSS RO data expanded by about twice the observation error. The performance of the analysis field was significantly improved in the tropics, where the COSMIC-2 data are more available, and in the 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 the observation error in global region, rather than doubling the COSMIC-2 data only in areas with high density, which seems to have been balanced with other observations.

주제어

표/그림 (13)

그림 Fig. 1. Horizontal distribution of the pre-processed GNSS RO observation locations at 1200 UTC on June 15, 2021. The colored dots represent each satellite, and additional six GNSS RO are COSMIC2-FS (1~6). The number next to each satellite's name indicates the number of data. The histogram represents the frequency of data considering the area-weighted for each latitude section.
표 Table 1. Configuration of experiments on applying the inflation factor of observation error by region.
표 Table 2. The results of the input observation error diagnosis in the control experiment based on Jo and marked in descending order.
그림 Fig. 2. The vertical statistics of global bending angle innovation mean (solid line), standard deviation (long dash) and number (short dash) of the pre-processed GNSS RO observation locations from 50^oS to 50^oN on July 2021. The colored lines represent each satellite, and additional six GNSS RO are COSMIC2-FS (1~6).
그림 Fig. 3. Vertical distribution of observational error for each experiment at any one point at (a) tropics and (b) high-latitude at 12 UTC on 15 June 2021.
그림 Fig. 4. The result of evaluation of the observational impact of CNTL, EXP1 and EXP2 experiments by observational species. The color of each line represents the experiment, and the error bar is also displayed.
그림 Fig. 5. Vertical profiles of zonal mean of the analysis error difference for (a) EXP1, (b) EXP2, and (c) EXP1-EXP2 compared with CNTL during the period from 1 July to 31 July 2021. The analysis error means the Root Mean Square Difference (RMSD) of each experiment against the IFS analysis. The negative values indicate that the error in the analysis field has decreased due to modified observational error. The black and gray dots indicate significance confidence level of 95% and 68%, respectively. Parentheses indicate the average improvement rate of the experiment compared to the control.
그림 Fig. 5. Continued.
그림 Fig. 6. Same as in Fig. 5 except for 5-day forecast.
그림 Fig. 6. Continued.
그림 Fig. 7. Score card of regional averaged root mean square error (RMSE) of analysis and forecast field for (a) EXP1 and (b) EXP2 compared with CNTL against IFS analysis at 1200 UTC during the period from 1 to 31 July 2021. The positive value indicates improvement of EXPs.
그림 Fig. 8. Normalized difference root mean square error (RMSE) of forecast time in Northern hemisphere (upper) and Asia (lower) for (a) EXP1 and (b) EXP2 compared with CNTL against IFS analysis at 1200 UTC during the period from 1 to 31 July 2021. The positive value indicates improvement of EXPs. Black and blue range bar are confidence level of 95.0% and 68.3%, respectively.
그림 Fig. 9. The time series of root mean square errors (RMSE) of 120 hours forecast 500 hPa temperature (K) in the tropics (20S~20N) in the CNTL (black line), EXP1 (red line), and EXP2 (blue line) experiments, verified against the IFS analysis, for a month period. The grey shaded area represents from min to max standard deviation of CNTL at 1200 UTC.

참고문헌 (13)

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