Experiments on Lightning Detection Network Data Assimilation

[1] Adzhiev A. Kh.(2013)“Lightning detection system on the Northern Caucasus,” Meteorol Gidrol, No. 1 2-11

[2] Stasenko V. N.(2012)Application of a lightning data assimilation technique in the WRF-ARW model at cloud-resolving scales for the tornado outbreak of 24 May 2011 Mon. Weather. Rev. 140 2609-2627

[3] Tapaskhanov V. O.(2017)A case study of assimilating lightning-proxy relative humidity with WRF-3DVAR Atmosphere 8 1-20

[4] Fierro A. O.(2016)The impact of lightning data assimilation on deterministic and ensemble forecasts of convective events J. Atmos. Ocean. Technol 33 1801-1823

[5] Mansell E. R.(2016)WRF-LTNGDA: a lightning data assimilation technique implemented in the WRF model for improving precipitation forecasts Environ. Model. Softw. 76 54-68

[6] Ziegler C. L.(2004)The Kain–Fritsch convective parameterization: An update J. Appl. Meteorol. 43 170-181

[7] MacGorman D. R.(2006)A lightning data assimilation technique for mesoscale forecast models Mon. Weather. Rev. 135 1732-1748

[8] Wang Y.(2013)Study of a heavy precipitation event over southern France, in the frame of HYMEX project: Observational analysis and model results using assimilation of lightning Atmos. Res 134 45-55

[9] Yang Y.(2014)Continuous variability in thunderstorm primary electrification and an evaluation of inverted-polarity terminology Atmos. Res 135 274-284

[10] Liu D.(2010)Simulated electrification of a small thunderstorm with two-moment bulk microphysics J. Atmos. Sci. 67 171-194

[1] Adzhiev A. Kh.(2013)“Lightning detection system on the Northern Caucasus,” Meteorol Gidrol, No. 1 2-11

[2] Stasenko V. N.(2012)Application of a lightning data assimilation technique in the WRF-ARW model at cloud-resolving scales for the tornado outbreak of 24 May 2011 Mon. Weather. Rev. 140 2609-2627

[3] Tapaskhanov V. O.(2017)A case study of assimilating lightning-proxy relative humidity with WRF-3DVAR Atmosphere 8 1-20

[4] Fierro A. O.(2016)The impact of lightning data assimilation on deterministic and ensemble forecasts of convective events J. Atmos. Ocean. Technol 33 1801-1823

[5] Mansell E. R.(2016)WRF-LTNGDA: a lightning data assimilation technique implemented in the WRF model for improving precipitation forecasts Environ. Model. Softw. 76 54-68

[6] Ziegler C. L.(2004)The Kain–Fritsch convective parameterization: An update J. Appl. Meteorol. 43 170-181

[7] MacGorman D. R.(2006)A lightning data assimilation technique for mesoscale forecast models Mon. Weather. Rev. 135 1732-1748

[8] Wang Y.(2013)Study of a heavy precipitation event over southern France, in the frame of HYMEX project: Observational analysis and model results using assimilation of lightning Atmos. Res 134 45-55

[9] Yang Y.(2014)Continuous variability in thunderstorm primary electrification and an evaluation of inverted-polarity terminology Atmos. Res 135 274-284

[10] Liu D.(2010)Simulated electrification of a small thunderstorm with two-moment bulk microphysics J. Atmos. Sci. 67 171-194