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Validation of the Meteosat Storm Detection and Nowcasting System Cb-tram with Lightning Network Data – Europe and South Africa : Volume 6, Issue 6 (19/06/2013)

By Zinner, T.

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Book Id: WPLBN0003999113
Format Type: PDF Article :
File Size: Pages 17
Reproduction Date: 2015

Title: Validation of the Meteosat Storm Detection and Nowcasting System Cb-tram with Lightning Network Data – Europe and South Africa : Volume 6, Issue 6 (19/06/2013)  
Author: Zinner, T.
Volume: Vol. 6, Issue 6
Language: English
Subject: Science, Atmospheric, Measurement
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Publication Date:
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications


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Forster, C., Betz, H., Coning, E. D., & Zinner, T. (2013). Validation of the Meteosat Storm Detection and Nowcasting System Cb-tram with Lightning Network Data – Europe and South Africa : Volume 6, Issue 6 (19/06/2013). Retrieved from

Description: Meteorologisches Institut, Ludwig-Maximilians-Universität München, Munich, Germany. In this paper, recent changes to the Meteosat thunderstorm TRacking And Monitoring algorithm (Cb-TRAM) are presented as well as a validation of Cb-TRAM against data from the European ground-based LIghtning NETwork (LINET) of Nowcast GmbH and the South African Weather Service Lightning Detection Network (SAWS LDN). Validation is conducted along the well-known skill measures probability of detection (POD) and false alarm ratio (FAR) on the basis of Meteosat/SEVIRI pixels as well as on the basis of thunderstorm objects. The values obtained demonstrate specific limitations of Cb-TRAM, as well as limitations of satellite methods in general which are based on thermal emission and solar reflectivity information from thunderstorm cloud tops.

Although the climatic conditions and the occurrence of thunderstorms are quite different for Europe and South Africa, quality score values are similar. Our conclusion is that Cb-TRAM provides robust results of well-defined quality for very different climatic regimes. The POD for a thunderstorm with intense lightning is about 80% during the day. The FAR for a Cb-TRAM detection which is not even close to intense lightning is about 50%. If only proximity to any lightning activity is required, FAR is much lower at about 15%. Pixel-based analysis shows that detected thunderstorm object size is not indiscriminately large, but well within physical limitations of the satellite method. Night-time POD and FAR are somewhat worse as the detection scheme does not use the high-resolution visible information during night-time hours. Nowcasting scores show useful values up to approximately 30 min in advance.

Validation of the Meteosat storm detection and nowcasting system Cb-TRAM with lightning network data – Europe and South Africa

Autones, F.: Algorithm Theoretical Basis Document for Rapid Development Thunderstorms (RDT-PGE11 v2.3), Tech. rep., Nowcasting Satellite Application Facility (NWC-SAF) Report, SAF/NWC/CDOP/MFT/SCI/ATBD/11, Meteo France, Toulouse, France, Issue 2, Rev. 3, 2012.; Betz, H. D., Schmidt, K., Oettinger, W. P., and Montag, B.: Cell-tracking with lightning data from LINET, Adv. Geosci., 17, 55–61, doi:<a href=>10.5194/adgeo-17-55-2008, 2008.; Brooks, H. E., Lee, W. L., and Craven, J. P.: The spatial distribution of severe thunderstorm and tornado environments from global reanalysis data, Atmos. Res., 67-68, 73–94, 2003.; Brown, B., Bullock, R. R., Davis, C. A., Gotway, J. H., Chapman, M. B., Takacs, A., Gilleland, E., and Manning, K.: New verfication approaches for convective weather forecasts, in: 11th Conf. on Aviation, Range, and Aerospace, Hyannis, Massachusetts, USA, American Meteorological Society, No. 9.4, 13 pp., 3 October–7 October, 2004.; Casati, B., Wilson, L. J., Stephenson, D. B., Nurmi, P., Ghelli, A., Pocernich, M., Damrath, U., Ebert, E. E., Brown, B. G., and Mason, S.: Forecast verification: current status and future directions, Meteorol. Appl., 15, 3–18, 2008.; Christian, H. J., Blakeslee, R. J., Boccippio, D. J., Boeck, W. L., Buechler, D. E., Driscoll, K. T., Goodman, S. J., Hall, J. M., Koshak, W. J., Mach, D. M., and Stewart M. F.: Global frequency and distribution of lightning as observed from space by the Optical Transient Detector, J. Geophys. Res., 108, 4005, <a href=>doi:10.1029/2002JD002347, 2003.; Doswell, C. A. (Ed.): Severe Convective Storms, Meteorological Monographs, American Meteorological Society, 45 Beacon Street, Boston, Massachusetts, 2001.; Doswell, C., Davies-Jones, R., and Keller, D. L.: On summary measures of skill in rare event forecasting based on contingency tables, Weather Forecast., 5, 576–585, 1990.; Ebert, E. E. and McBride, J. L.: Verification of precipitation in weather systems: Determination of systematic errors, J. Hydrol., 239, 179–202, 2000.; EUMETSAT MTG LI, Algorithm Theoretical Basis Document (ATBD) for L2 processing of the MTG Lightning Imager data, Doc. No.: EUM/MTG/DOC/11/0155, EUMETSAT, Darmstadt, October, 2011.; Forster, C. and Tafferner, A.: An integrated user-oriented weather forecast system for air traffic using real-time observations and model data, in: Proceedings of the European Air and Space Conference (CEAS), Manchester, UK, 11 pp., 26–29 October 2009, 2009.; Forster, C. and Tafferner, A.: Nowcasting Thunderstorms for Munich Airport, DLR-Forschungsbericht ISSN 1434–8454, ISRN DLR-FB–2012-02, Deutsches Zentrum für Luft- und Raumfahrt e.V., Bibliotheks- und Informationswesen, Köln, 2012.; Gijben, M.: The lightning climatology of South Africa, S. Afr. J. Sci., 108, 740, <a href=>doi:10.4102/sajs.v108i3/4.740, 2012.; Gill, T.: Initial steps in the development of comprehensive lightning climatology of South Africa, Master's thesis, University of the Witwatersrand, Johannesburg, 2008.; Goodman, S. J., Blakeslee, R. J., Koshak, W. J., Mach, D., Bailey, J., Buechler, D., Carey, L., Schultz, C., Bateman, M., McCaul Jr., E., and Stano, G.: The GOES-R Geostationary Lightning Mapper (GLM), Atmos Res, 125–126, 34–49, <a href=>doi:10.1016/j.atmosres.2013.01.006, 2013.; Koenig, M. and de Coning, E.: The MSG global instability indices product and


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