Articles | Volume 17, issue 1
https://doi.org/10.5194/nhess-17-61-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-17-61-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
23 Jan 2017
Research article |
| 23 Jan 2017
Improvement of RAMS precipitation forecast at the short-range through lightning data assimilation
ISAC-CNR, UOS of Rome, via del Fosso del Cavaliere 100, 00133 Rome, Italy
Marco Petracca
ISAC-CNR, UOS of Rome, via del Fosso del Cavaliere 100, 00133 Rome, Italy
Giulia Panegrossi
ISAC-CNR, UOS of Rome, via del Fosso del Cavaliere 100, 00133 Rome, Italy
Stefano Dietrich
ISAC-CNR, UOS of Rome, via del Fosso del Cavaliere 100, 00133 Rome, Italy
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Cited
14 citations as recorded by crossref.
- Impact of Lightning Data Assimilation on the Short-Term Precipitation Forecast over the Central Mediterranean Sea R. Torcasio et al. 10.3390/rs13040682
- WRF data assimilation of weather stations and lightning data for a convective event in northern Italy E. Maggioni et al. 10.1007/s42865-023-00061-8
- Application of Lightning Data Assimilation for the 10 October 2018 Case Study over Sardinia R. Torcasio et al. 10.3390/atmos11050541
- Improving the lightning forecast with the WRF model and lightning data assimilation: Results of a two-seasons numerical experiment over Italy S. Federico et al. 10.1016/j.atmosres.2024.107382
- The Precipitation Structure of the Mediterranean Tropical-Like Cyclone Numa: Analysis of GPM Observations and Numerical Weather Prediction Model Simulations A. Marra et al. 10.3390/rs11141690
- Impact of Radar Reflectivity and Lightning Data Assimilation on the Rainfall Forecast and Predictability of a Summer Convective Thunderstorm in Southern Italy S. Federico et al. 10.3390/atmos12080958
- Impact of the assimilation of lightning data on the precipitation forecast at different forecast ranges S. Federico et al. 10.5194/asr-14-187-2017
- The impact of lightning and radar reflectivity factor data assimilation on the very short-term rainfall forecasts of RAMS@ISAC: application to two case studies in Italy S. Federico et al. 10.5194/nhess-19-1839-2019
- Real-time river level estimation based on variations of radar reflectivity—a case study of the Quitandinha River watershed, Petrópolis, Rio de Janeiro (Brazil) F. da Silva et al. 10.1007/s42865-021-00030-z
- Lightning data assimilation in the WRF-ARW model for short-term rainfall forecasts of three severe storm cases in Italy A. Comellas Prat et al. 10.1016/j.atmosres.2020.105246
- Assimilation of Radar and Cloud-to-Ground Lightning Data Using WRF-3DVar Combined with the Physical Initialization Method—A Case Study of a Mesoscale Convective System R. Gan et al. 10.1007/s13351-021-0092-4
- Assimilation of the Maximum Vertical Velocity Converted From Total Lightning Data Through the EnSRF Method R. Gan et al. 10.1029/2020JD034300
- Study of the Intense Meteorological Event Occurred in September 2022 over the Marche Region with WRF Model: Impact of Lightning Data Assimilation on Rainfall and Lightning Prediction R. Torcasio et al. 10.3390/atmos14071152
- Improvement of RAMS precipitation forecast at the short-range through lightning data assimilation S. Federico et al. 10.5194/nhess-17-61-2017
13 citations as recorded by crossref.
- Impact of Lightning Data Assimilation on the Short-Term Precipitation Forecast over the Central Mediterranean Sea R. Torcasio et al. 10.3390/rs13040682
- WRF data assimilation of weather stations and lightning data for a convective event in northern Italy E. Maggioni et al. 10.1007/s42865-023-00061-8
- Application of Lightning Data Assimilation for the 10 October 2018 Case Study over Sardinia R. Torcasio et al. 10.3390/atmos11050541
- Improving the lightning forecast with the WRF model and lightning data assimilation: Results of a two-seasons numerical experiment over Italy S. Federico et al. 10.1016/j.atmosres.2024.107382
- The Precipitation Structure of the Mediterranean Tropical-Like Cyclone Numa: Analysis of GPM Observations and Numerical Weather Prediction Model Simulations A. Marra et al. 10.3390/rs11141690
- Impact of Radar Reflectivity and Lightning Data Assimilation on the Rainfall Forecast and Predictability of a Summer Convective Thunderstorm in Southern Italy S. Federico et al. 10.3390/atmos12080958
- Impact of the assimilation of lightning data on the precipitation forecast at different forecast ranges S. Federico et al. 10.5194/asr-14-187-2017
- The impact of lightning and radar reflectivity factor data assimilation on the very short-term rainfall forecasts of RAMS@ISAC: application to two case studies in Italy S. Federico et al. 10.5194/nhess-19-1839-2019
- Real-time river level estimation based on variations of radar reflectivity—a case study of the Quitandinha River watershed, Petrópolis, Rio de Janeiro (Brazil) F. da Silva et al. 10.1007/s42865-021-00030-z
- Lightning data assimilation in the WRF-ARW model for short-term rainfall forecasts of three severe storm cases in Italy A. Comellas Prat et al. 10.1016/j.atmosres.2020.105246
- Assimilation of Radar and Cloud-to-Ground Lightning Data Using WRF-3DVar Combined with the Physical Initialization Method—A Case Study of a Mesoscale Convective System R. Gan et al. 10.1007/s13351-021-0092-4
- Assimilation of the Maximum Vertical Velocity Converted From Total Lightning Data Through the EnSRF Method R. Gan et al. 10.1029/2020JD034300
- Study of the Intense Meteorological Event Occurred in September 2022 over the Marche Region with WRF Model: Impact of Lightning Data Assimilation on Rainfall and Lightning Prediction R. Torcasio et al. 10.3390/atmos14071152
1 citations as recorded by crossref.
Latest update: 23 Nov 2024
Short summary
The motivation of this study is to use lightning observations to improve the precipitation forecast at the short range (3 h). For this purpose 20 case studies, occurring in fall 2012, were analyzed using a meteorological model, whose set-up is applicable in real-time weather forecasting. Lightning observations were provided by the LINET network. Results show a systematic improvement of the 3 h precipitation forecast when lightning observations are used.
The motivation of this study is to use lightning observations to improve the precipitation...
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