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
25 citations as recorded by crossref.
- Correlations of Multispectral Infrared Indicators and Applications in the Analysis of Developing Convective Clouds Q. Wu et al.
- Probabilistic 0–1-h Convective Initiation Nowcasts that Combine Geostationary Satellite Observations and Numerical Weather Prediction Model Data J. Mecikalski et al.
- Detection of Convective Initiation Using Meteorological Imager Onboard Communication, Ocean, and Meteorological Satellite Based on Machine Learning Approaches H. Han et al.
- A New Convective Initiation Definition and Its Characteristics in Central and Eastern China Based on Fengyun-4A Satellite Cloud Imagery L. Peng et al.
- A simplified method for the detection of convection using high-resolution imagery from GOES-16 Y. Lee et al.
- Summertime Convective Initiation Nowcasting over Southeastern China Based on Advanced Himawari Imager Observations X. ZHUGE & X. ZOU
- Analysis of Livorno Heavy Rainfall Event: Examples of Satellite-Based Observation Techniques in Support of Numerical Weather Prediction E. Ricciardelli et al.
- Convective Cloud Detection and Tracking Using the New-Generation Geostationary Satellite Over South China Y. Yang et al.
- Analysis of convective cell evolution with split and merge events using a graph-based methodology J. Ritvanen et al.
- Detection of deterministic and probabilistic convection initiation using Himawari-8 Advanced Himawari Imager data S. Lee et al.
- A Novel Approach for the Detection of Developing Thunderstorm Cells R. Müller et al.
- Severe Thunderstorm Detection by Visual Learning Using Satellite Images Y. Zhang et al.
- A Novel Framework of Detecting Convective Initiation Combining Automated Sampling, Machine Learning, and Repeated Model Tuning from Geostationary Satellite Data D. Han et al.
- Characterization of Initiation and Growth of Selected Severe Convective Storms over Central Europe with MSG-SEVIRI F. Senf et al.
- Study of Mesoscale Cloud System Oscillations Capable of Producing Convective Gravity Waves S. Kolios
- Hybrid Physical Segmentation and Machine Learning Approach for Deep Convective Cloud Detection With Himawari-8 B. Liu et al.
- Evaluation of geostationary satellite observations and the development of a 1–2 h prediction model for future storm intensity J. Mecikalski et al.
- Satellite-Based Characterization of Convective Growth and Glaciation and Its Relationship to Precipitation Formation over Central Europe F. Senf & H. Deneke
- Cloud and DNI nowcasting with MSG/SEVIRI for the optimized operation of concentrating solar power plants T. Sirch et al.
- Applications of Geostationary Satellite Data to Aviation G. Ellrod & K. Pryor
- Prediction of convective clouds formation using evolutionary neural computation techniques D. Guijo-Rubio et al.
- 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.
- Convective Initiation Proxies for Nowcasting Precipitation Severity Using the MSG-SEVIRI Rapid Scan D. Gallucci et al.
- GF-4 high-resolution texture and FY-4A multispectral data fusion: Two case studies for enhancing early convective cloud detection Y. Gao et al.
- Meteorological conditions leading to the 2015 Salgar flash flood: lessons for vulnerable regions in tropical complex terrain C. Hoyos et al.
25 citations as recorded by crossref.
- Correlations of Multispectral Infrared Indicators and Applications in the Analysis of Developing Convective Clouds Q. Wu et al.
- Probabilistic 0–1-h Convective Initiation Nowcasts that Combine Geostationary Satellite Observations and Numerical Weather Prediction Model Data J. Mecikalski et al.
- Detection of Convective Initiation Using Meteorological Imager Onboard Communication, Ocean, and Meteorological Satellite Based on Machine Learning Approaches H. Han et al.
- A New Convective Initiation Definition and Its Characteristics in Central and Eastern China Based on Fengyun-4A Satellite Cloud Imagery L. Peng et al.
- A simplified method for the detection of convection using high-resolution imagery from GOES-16 Y. Lee et al.
- Summertime Convective Initiation Nowcasting over Southeastern China Based on Advanced Himawari Imager Observations X. ZHUGE & X. ZOU
- Analysis of Livorno Heavy Rainfall Event: Examples of Satellite-Based Observation Techniques in Support of Numerical Weather Prediction E. Ricciardelli et al.
- Convective Cloud Detection and Tracking Using the New-Generation Geostationary Satellite Over South China Y. Yang et al.
- Analysis of convective cell evolution with split and merge events using a graph-based methodology J. Ritvanen et al.
- Detection of deterministic and probabilistic convection initiation using Himawari-8 Advanced Himawari Imager data S. Lee et al.
- A Novel Approach for the Detection of Developing Thunderstorm Cells R. Müller et al.
- Severe Thunderstorm Detection by Visual Learning Using Satellite Images Y. Zhang et al.
- A Novel Framework of Detecting Convective Initiation Combining Automated Sampling, Machine Learning, and Repeated Model Tuning from Geostationary Satellite Data D. Han et al.
- Characterization of Initiation and Growth of Selected Severe Convective Storms over Central Europe with MSG-SEVIRI F. Senf et al.
- Study of Mesoscale Cloud System Oscillations Capable of Producing Convective Gravity Waves S. Kolios
- Hybrid Physical Segmentation and Machine Learning Approach for Deep Convective Cloud Detection With Himawari-8 B. Liu et al.
- Evaluation of geostationary satellite observations and the development of a 1–2 h prediction model for future storm intensity J. Mecikalski et al.
- Satellite-Based Characterization of Convective Growth and Glaciation and Its Relationship to Precipitation Formation over Central Europe F. Senf & H. Deneke
- Cloud and DNI nowcasting with MSG/SEVIRI for the optimized operation of concentrating solar power plants T. Sirch et al.
- Applications of Geostationary Satellite Data to Aviation G. Ellrod & K. Pryor
- Prediction of convective clouds formation using evolutionary neural computation techniques D. Guijo-Rubio et al.
- 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.
- Convective Initiation Proxies for Nowcasting Precipitation Severity Using the MSG-SEVIRI Rapid Scan D. Gallucci et al.
- GF-4 high-resolution texture and FY-4A multispectral data fusion: Two case studies for enhancing early convective cloud detection Y. Gao et al.
- Meteorological conditions leading to the 2015 Salgar flash flood: lessons for vulnerable regions in tropical complex terrain C. Hoyos et al.
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