Journal cover Journal topic
Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 3.400 IF 3.400
  • IF 5-year value: 3.841 IF 5-year
    3.841
  • CiteScore value: 3.71 CiteScore
    3.71
  • SNIP value: 1.472 SNIP 1.472
  • IPP value: 3.57 IPP 3.57
  • SJR value: 1.770 SJR 1.770
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 70 Scimago H
    index 70
  • h5-index value: 49 h5-index 49
Volume 6, issue 6
Atmos. Meas. Tech., 6, 1567–1583, 2013
https://doi.org/10.5194/amt-6-1567-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
Atmos. Meas. Tech., 6, 1567–1583, 2013
https://doi.org/10.5194/amt-6-1567-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 19 Jun 2013

Research article | 19 Jun 2013

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

T. Zinner et al.

Related authors

Synergy of Active- and Passive Remote Sensing: An Approach to Reconstruct Three-Dimensional Cloud Macro- and Microphysics
Lucas Höppler, Felix Gödde, Manuel Gutleben, Tobias Kölling, Bernhard Mayer, and Tobias Zinner
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2020-49,https://doi.org/10.5194/amt-2020-49, 2020
Preprint under review for AMT
The challenge of simulating the sensitivity of the Amazonian cloud microstructure to cloud condensation nuclei number concentrations
Pascal Polonik, Christoph Knote, Tobias Zinner, Florian Ewald, Tobias Kölling, Bernhard Mayer, Meinrat O. Andreae, Tina Jurkat-Witschas, Thomas Klimach, Christoph Mahnke, Sergej Molleker, Christopher Pöhlker, Mira L. Pöhlker, Ulrich Pöschl, Daniel Rosenfeld, Christiane Voigt, Ralf Weigel, and Manfred Wendisch
Atmos. Chem. Phys., 20, 1591–1605, https://doi.org/10.5194/acp-20-1591-2020,https://doi.org/10.5194/acp-20-1591-2020, 2020
Short summary
Cloud geometry from oxygen-A-band observations through an aircraft side window
Tobias Zinner, Ulrich Schwarz, Tobias Kölling, Florian Ewald, Evelyn Jäkel, Bernhard Mayer, and Manfred Wendisch
Atmos. Meas. Tech., 12, 1167–1181, https://doi.org/10.5194/amt-12-1167-2019,https://doi.org/10.5194/amt-12-1167-2019, 2019
Remote sensing of cloud droplet radius profiles using solar reflectance from cloud sides – Part 1: Retrieval development and characterization
Florian Ewald, Tobias Zinner, Tobias Kölling, and Bernhard Mayer
Atmos. Meas. Tech., 12, 1183–1206, https://doi.org/10.5194/amt-12-1183-2019,https://doi.org/10.5194/amt-12-1183-2019, 2019
Short summary
Aircraft-based stereographic reconstruction of 3-D cloud geometry
Tobias Kölling, Tobias Zinner, and Bernhard Mayer
Atmos. Meas. Tech., 12, 1155–1166, https://doi.org/10.5194/amt-12-1155-2019,https://doi.org/10.5194/amt-12-1155-2019, 2019
Short summary

Related subject area

Subject: Clouds | Technique: Remote Sensing | Topic: Validation and Intercomparisons
Shallow cumuli cover and its uncertainties from ground-based lidar–radar data and sky images
Erin A. Riley, Jessica M. Kleiss, Laura D. Riihimaki, Charles N. Long, Larry K. Berg, and Evgueni Kassianov
Atmos. Meas. Tech., 13, 2099–2117, https://doi.org/10.5194/amt-13-2099-2020,https://doi.org/10.5194/amt-13-2099-2020, 2020
Short summary
Using passive and active observations at microwave and sub-millimetre wavelengths to constrain ice particle models
Robin Ekelund, Patrick Eriksson, and Simon Pfreundschuh
Atmos. Meas. Tech., 13, 501–520, https://doi.org/10.5194/amt-13-501-2020,https://doi.org/10.5194/amt-13-501-2020, 2020
Short summary
Evaluation of the Aqua MODIS Collection 6.1 multilayer cloud detection algorithm through comparisons with CloudSat CPR and CALIPSO CALIOP products
Benjamin Marchant, Steven Platnick, Kerry Meyer, and Galina Wind
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2019-448,https://doi.org/10.5194/amt-2019-448, 2020
Revised manuscript accepted for AMT
Short summary
Comparing lightning observations of the ground-based EUCLID network and the space-based ISS-LIS
Dieter R. Poelman and Wolfgang Schulz
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2019-435,https://doi.org/10.5194/amt-2019-435, 2020
Revised manuscript accepted for AMT
Short summary
Comparison of the cloud top heights retrieved from MODIS and AHI satellite data with ground-based Ka-band radar
Juan Huo, Daren Lu, Shu Duan, Yongheng Bi, and Bo Liu
Atmos. Meas. Tech., 13, 1–11, https://doi.org/10.5194/amt-13-1-2020,https://doi.org/10.5194/amt-13-1-2020, 2020
Short summary

Cited articles

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, https://doi.org/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.
Publications Copernicus
Download
Citation