11 citations as recorded by crossref.

1. Ensemble data assimilation of total column ozone using a coupled meteorology–chemistry model and its impact on the structure of Typhoon Nabi (2005) S. Lim et al. https://doi.org/10.5194/acp-15-10019-2015
2. Assimilation of GOES-R Geostationary Lightning Mapper Flash Extent Density Data in GSI 3DVar, EnKF, and Hybrid En3DVar for the Analysis and Short-Term Forecast of a Supercell Storm Case R. Kong et al. https://doi.org/10.1007/s00376-023-2340-2
3. Assimilation of Meteosat Third Generation (MTG) Lightning Imager (LI) pseudo-observations in AROME-France – proof of concept F. Erdmann et al. https://doi.org/10.5194/nhess-23-2821-2023
4. Assessing the Impact of Lightning Data Assimilation in the WRF Model V. Vargas et al. https://doi.org/10.3390/atmos15070826
5. A Survey and Perspectives on Mathematical Models for Quantitative Precipitation Estimation Using Lightning C. Minjarez-Sosa & J. Waissman https://doi.org/10.1155/2017/1351308
6. An Improved QPE over Complex Terrain Employing Cloud-to-Ground Lightning Occurrences C. Minjarez-Sosa et al. https://doi.org/10.1175/JAMC-D-16-0097.1
7. Impact of the OMI aerosol optical depth on analysis increments through coupled meteorology–aerosol data assimilation for an Asian dust storm E. Lee et al. https://doi.org/10.1016/j.rse.2017.02.013
8. Improving Forecast of Severe Oceanic Mesoscale Convective Systems Using FY-4A Lightning Data Assimilation with WRF-FDDA H. Sun et al. https://doi.org/10.3390/rs14091965
9. Study of lightning occurrence in the southeastern Brazil and its relationship with polarimetric variables observed by meteorological radar J. Martins de Souza Lima et al. https://doi.org/10.1016/j.atmosres.2025.108189
10. Development of New Observation Operators for Assimilating GOES-R Geostationary Lightning Mapper Flash Extent Density Data Using GSI EnKF: Tests with Two Convective Events over the United States R. Kong et al. https://doi.org/10.1175/MWR-D-21-0326.1
11. Assimilation of the Maximum Vertical Velocity Converted From Total Lightning Data Through the EnSRF Method R. Gan et al. https://doi.org/10.1029/2020JD034300