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A Study on the Adjustment of Global Navigation Satellite System Radio Occultation Observation Errors to Improve KIM Forecast Performance

Kim, Eun-Hee, Chun, Hyoung-Wook, Son, Jiyoung, and Lee, Yong Hee, 2025. A Study on the Adjustment of Global Navigation Satellite System Radio Occultation Observation Errors to Improve KIM Forecast Performance. Asia-Pacific Journal of Atmospheric Sciences, 61(4):33, doi:10.1007/s13143-025-00415-6.

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BibTeX

@ARTICLE{2025APJAS..61...33K,
       author = {{Kim}, Eun-Hee and {Chun}, Hyoung-Wook and {Son}, Jiyoung and {Lee}, Yong Hee},
        title = "{A Study on the Adjustment of Global Navigation Satellite System Radio Occultation Observation Errors to Improve KIM Forecast Performance}",
      journal = {Asia-Pacific Journal of Atmospheric Sciences},
     keywords = {KIM, GNSS RO, Observation Error, Data Assimilation},
         year = 2025,
        month = oct,
       volume = {61},
       number = {4},
          eid = {33},
        pages = {33},
     abstract = "{This study investigates observation error adjustment strategies for
        three recent Global Navigation Satellite System Radio
        Occultation (GNSS RO) datasets (GRACE-D, Sentinel-6 A, and
        SPIRE) within the Korean Integrated Model (KIM), aiming to
        mitigate forecast degradation of mid-tropospheric geopotential
        height. Experiments were conducted using a low-resolution KIM
        (July-August 2022), with verification against European Centre
        for Medium-Range Weather Forecasts (ECMWF) Integrated
        Forecasting System (IFS) analyses. The standard GNSS RO error
        model (20\% observation error at the surface and 1\% at 10 km)
        was used as the control (EXP\_ctl). Two adjustment strategies
        were tested: EXP\_zfrac, which increased the lowest-level error
        to 40\%, thereby reducing the influence below 10 km; and
        EXP\_obserr, which applied a uniform inflation factor
        ({\ensuremath{\sqrt{}}}2, from 2.2 to 3.1) across all levels to
        account for doubled observation counts. Relative to the
        Baseline, EXP\_ctl degraded the global 500 hPa geopotential
        height analysis by 4.01\%, while EXP\_zfrac and EXP\_obserr
        improved performance by 2.01\% and 2.28\%, respectively. For
        5-day forecasts of Northern Hemisphere 500 hPa geopotential
        height, EXP\_ctl degraded performance by 0.11\%, while
        EXP\_zfrac and EXP\_obserr demonstrated improvements of 0.74\%
        and 0.99\%, respectively. These findings demonstrate that
        uniform observation error inflation, which reflects increased
        data density, is more effective for KIM than selective layer-
        specific error adjustments.}",
          doi = {10.1007/s13143-025-00415-6},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2025APJAS..61...33K},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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