Kim et al. (2025) Simultaneous Multiscale Data Assimilation of GOES‐16 ABI All‐Sky Radiances and Radar Reflectivity on a Dryline Convection Event

⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.

Identification

• Journal: Journal of Geophysical Research Atmospheres
• Year: 2025
• Date: 2025-10-17
• Authors: Yu‐Shin Kim, Xuguang Wang
• DOI: 10.1029/2025jd043682

Research Groups

Not explicitly mentioned in the abstract.

Short Summary

This study investigates the impact of simultaneous multiscale data assimilation (MDA) of GOES-16 all-sky radiance and radar reflectivity on a dryline convection event. It demonstrates that MDA significantly improves multiscale analysis of atmospheric features and enhances the predictability of convective systems compared to single-scale data assimilation (SDA).

Objective

• To investigate the impact of simultaneous multiscale data assimilation (MDA) of GOES-16 Advanced Baseline Imager infrared all-sky radiance and radar reflectivity on a dryline convection event (26–27 May 2019) through comparison with single-scale data assimilation (SDA).

Study Configuration

• Spatial Scale: Multiscale, encompassing convective, mesoscale, synoptic-scale, and large-scale features (e.g., low-level cold pool, convergence, inflow, upper-level jet, shortwave trough, upper-level clouds, large-scale moisture).
• Temporal Scale: A 2-day dryline convection event (26–27 May 2019) with subsequent 6-hour forecasts.

Methodology and Data

• Models used: Ensemble variational data assimilation (DA) system, employing scale-dependent and variable-dependent localization.
• Data sources: GOES-16 Advanced Baseline Imager infrared all-sky radiance and radar reflectivity.

Main Results

• Single observation experiments showed that MDA of all-sky radiance more effectively analyzes large-scale features than SDA, even with various localization lengths.
• Cycled MDA experiments demonstrated improved multiscale analysis of low-level cold pool, convergence, inflow, upper-level jet, and shortwave trough compared to an optimally tuned SDA using a 15-kilometer localization radius.
• These improved multiscale analyses enhanced the predictability of the initiating mesoscale convective system (MCS), its bowing process, and embedded supercells during the subsequent 6-hour forecast.

Contributions

• This study highlights the impact of MDA assimilating both all-sky radiance and radar reflectivity, which together sample a comprehensive range of atmospheric features including mid- and low-level storms, synoptic-scale inflow, upper-level clouds, and large-scale moisture.
• It extends previous MDA research, which primarily focused on radar reflectivity for low-level precipitation structures, by demonstrating the synergistic benefits of combining these two observation types for multiscale analysis and predictability.

Funding

Not mentioned in the abstract.

Citation

@article{Kim2025Simultaneous,
  author = {Kim, Yu‐Shin and Wang, Xuguang},
  title = {Simultaneous Multiscale Data Assimilation of GOES‐16 ABI All‐Sky Radiances and Radar Reflectivity on a Dryline Convection Event},
  journal = {Journal of Geophysical Research Atmospheres},
  year = {2025},
  doi = {10.1029/2025jd043682},
  url = {https://doi.org/10.1029/2025jd043682}
}