Bingying Shi, Chun Yang, Jinzhong Min. 2025: Modified Observation Error Inflation Scheme for All-Sky Infrared Radiances Assimilation Based on the Model-observation Agreement. Adv. Atmos. Sci., https://doi.org/10.1007/s00376-025-4335-7
Citation: Bingying Shi, Chun Yang, Jinzhong Min. 2025: Modified Observation Error Inflation Scheme for All-Sky Infrared Radiances Assimilation Based on the Model-observation Agreement. Adv. Atmos. Sci., https://doi.org/10.1007/s00376-025-4335-7

Modified Observation Error Inflation Scheme for All-Sky Infrared Radiances Assimilation Based on the Model-observation Agreement

  • For all-sky infrared radiances assimilation, the heteroscedasticity and non-Gaussian behavior of observation-minus-background (OMB) departures are two major difficulties. The Geer–Bauer observation error inflation (GBOEI) scheme, proposed by Geer and Bauer is a universal way to handle the issues. However, it fails to take into account the consistency between model and observation, resulting in unreasonable large observation errors where the simulations agree with the observations. Thus, this study modifies the GBOEI scheme to rationalize the observation errors in such areas. With Advanced Himawari Imagers (AHI) water vapor channels data, the test results show that the normalized OMB with new observation error approach leads to more Gaussian form than the GBOEI method and constant observation errors. Hence, the assimilation experiments with new scheme produce better brightness temperature analysis than other methods, and also improve temperature and humidity analysis. Furthermore, the real case experiment of typhoon Lekima with the new observation error scheme exhibits more accuracy, especially in track prediction. And substantial error reductions in wind, temperature and humidity forecasts are also obtained. Meanwhile, the 5-days 6-hr cycling experiments in the real case of typhoon Lekima with the new observation error scheme confirm that new method does not introduce extra imbalance compared to the experiment with constant observation errors. And more accurate typhoon forecasts can also be obtained on both analysis and forecast, especially in track prediction.
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