Articles | Volume 6, issue 8
https://doi.org/10.5194/amt-6-1903-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-6-1903-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Detection of convective initiation using Meteosat SEVIRI: implementation in and verification with the tracking and nowcasting algorithm Cb-TRAM
D. Merk
Meteorologisches Institut, Ludwig-Maximilians-Universität, Theresienstr. 37, 80333 Munich, Germany
now at: Leibniz-Institut für Troposphärenforschung, Permoserstr. 15, 04318 Leipzig, Germany
T. Zinner
Meteorologisches Institut, Ludwig-Maximilians-Universität, Theresienstr. 37, 80333 Munich, Germany
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Cited
22 citations as recorded by crossref.
- Severe Thunderstorm Detection by Visual Learning Using Satellite Images Y. Zhang et al. 10.1109/TGRS.2016.2618929
- A Novel Framework of Detecting Convective Initiation Combining Automated Sampling, Machine Learning, and Repeated Model Tuning from Geostationary Satellite Data D. Han et al. 10.3390/rs11121454
- Characterization of Initiation and Growth of Selected Severe Convective Storms over Central Europe with MSG-SEVIRI F. Senf et al. 10.1175/JAMC-D-14-0144.1
- Correlations of Multispectral Infrared Indicators and Applications in the Analysis of Developing Convective Clouds Q. Wu et al. 10.1175/JAMC-D-15-0081.1
- Study of Mesoscale Cloud System Oscillations Capable of Producing Convective Gravity Waves S. Kolios 10.3390/cli6020025
- Probabilistic 0–1-h Convective Initiation Nowcasts that Combine Geostationary Satellite Observations and Numerical Weather Prediction Model Data J. Mecikalski et al. 10.1175/JAMC-D-14-0129.1
- Evaluation of geostationary satellite observations and the development of a 1–2 h prediction model for future storm intensity J. Mecikalski et al. 10.1002/2016JD024768
- Detection of Convective Initiation Using Meteorological Imager Onboard Communication, Ocean, and Meteorological Satellite Based on Machine Learning Approaches H. Han et al. 10.3390/rs70709184
- Satellite-Based Characterization of Convective Growth and Glaciation and Its Relationship to Precipitation Formation over Central Europe F. Senf & H. Deneke 10.1175/JAMC-D-16-0293.1
- Cloud and DNI nowcasting with MSG/SEVIRI for the optimized operation of concentrating solar power plants T. Sirch et al. 10.5194/amt-10-409-2017
- A simplified method for the detection of convection using high-resolution imagery from GOES-16 Y. Lee et al. 10.5194/amt-14-3755-2021
- Summertime Convective Initiation Nowcasting over Southeastern China Based on Advanced Himawari Imager Observations X. ZHUGE & X. ZOU 10.2151/jmsj.2018-041
- Analysis of Livorno Heavy Rainfall Event: Examples of Satellite-Based Observation Techniques in Support of Numerical Weather Prediction E. Ricciardelli et al. 10.3390/rs10101549
- Applications of Geostationary Satellite Data to Aviation G. Ellrod & K. Pryor 10.1007/s00024-018-1821-1
- Prediction of convective clouds formation using evolutionary neural computation techniques D. Guijo-Rubio et al. 10.1007/s00521-020-04795-w
- Increasing the spatial resolution of cloud property retrievals from Meteosat SEVIRI by use of its high-resolution visible channel: implementation and examples H. Deneke et al. 10.5194/amt-14-5107-2021
- Convective Initiation Proxies for Nowcasting Precipitation Severity Using the MSG-SEVIRI Rapid Scan D. Gallucci et al. 10.3390/rs12162562
- Convective Cloud Detection and Tracking Using the New-Generation Geostationary Satellite Over South China Y. Yang et al. 10.1109/TGRS.2023.3298976
- GF-4 high-resolution texture and FY-4A multispectral data fusion: Two case studies for enhancing early convective cloud detection Y. Gao et al. 10.1016/j.aosl.2024.100551
- A Novel Approach for the Detection of Developing Thunderstorm Cells R. Müller et al. 10.3390/rs11040443
- Meteorological conditions leading to the 2015 Salgar flash flood: lessons for vulnerable regions in tropical complex terrain C. Hoyos et al. 10.5194/nhess-19-2635-2019
- Validation of the Meteosat storm detection and nowcasting system Cb-TRAM with lightning network data – Europe and South Africa T. Zinner et al. 10.5194/amt-6-1567-2013
21 citations as recorded by crossref.
- Severe Thunderstorm Detection by Visual Learning Using Satellite Images Y. Zhang et al. 10.1109/TGRS.2016.2618929
- A Novel Framework of Detecting Convective Initiation Combining Automated Sampling, Machine Learning, and Repeated Model Tuning from Geostationary Satellite Data D. Han et al. 10.3390/rs11121454
- Characterization of Initiation and Growth of Selected Severe Convective Storms over Central Europe with MSG-SEVIRI F. Senf et al. 10.1175/JAMC-D-14-0144.1
- Correlations of Multispectral Infrared Indicators and Applications in the Analysis of Developing Convective Clouds Q. Wu et al. 10.1175/JAMC-D-15-0081.1
- Study of Mesoscale Cloud System Oscillations Capable of Producing Convective Gravity Waves S. Kolios 10.3390/cli6020025
- Probabilistic 0–1-h Convective Initiation Nowcasts that Combine Geostationary Satellite Observations and Numerical Weather Prediction Model Data J. Mecikalski et al. 10.1175/JAMC-D-14-0129.1
- Evaluation of geostationary satellite observations and the development of a 1–2 h prediction model for future storm intensity J. Mecikalski et al. 10.1002/2016JD024768
- Detection of Convective Initiation Using Meteorological Imager Onboard Communication, Ocean, and Meteorological Satellite Based on Machine Learning Approaches H. Han et al. 10.3390/rs70709184
- Satellite-Based Characterization of Convective Growth and Glaciation and Its Relationship to Precipitation Formation over Central Europe F. Senf & H. Deneke 10.1175/JAMC-D-16-0293.1
- Cloud and DNI nowcasting with MSG/SEVIRI for the optimized operation of concentrating solar power plants T. Sirch et al. 10.5194/amt-10-409-2017
- A simplified method for the detection of convection using high-resolution imagery from GOES-16 Y. Lee et al. 10.5194/amt-14-3755-2021
- Summertime Convective Initiation Nowcasting over Southeastern China Based on Advanced Himawari Imager Observations X. ZHUGE & X. ZOU 10.2151/jmsj.2018-041
- Analysis of Livorno Heavy Rainfall Event: Examples of Satellite-Based Observation Techniques in Support of Numerical Weather Prediction E. Ricciardelli et al. 10.3390/rs10101549
- Applications of Geostationary Satellite Data to Aviation G. Ellrod & K. Pryor 10.1007/s00024-018-1821-1
- Prediction of convective clouds formation using evolutionary neural computation techniques D. Guijo-Rubio et al. 10.1007/s00521-020-04795-w
- Increasing the spatial resolution of cloud property retrievals from Meteosat SEVIRI by use of its high-resolution visible channel: implementation and examples H. Deneke et al. 10.5194/amt-14-5107-2021
- Convective Initiation Proxies for Nowcasting Precipitation Severity Using the MSG-SEVIRI Rapid Scan D. Gallucci et al. 10.3390/rs12162562
- Convective Cloud Detection and Tracking Using the New-Generation Geostationary Satellite Over South China Y. Yang et al. 10.1109/TGRS.2023.3298976
- GF-4 high-resolution texture and FY-4A multispectral data fusion: Two case studies for enhancing early convective cloud detection Y. Gao et al. 10.1016/j.aosl.2024.100551
- A Novel Approach for the Detection of Developing Thunderstorm Cells R. Müller et al. 10.3390/rs11040443
- Meteorological conditions leading to the 2015 Salgar flash flood: lessons for vulnerable regions in tropical complex terrain C. Hoyos et al. 10.5194/nhess-19-2635-2019
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