Articles | Volume 11, issue 7
https://doi.org/10.5194/amt-11-4153-2018
https://doi.org/10.5194/amt-11-4153-2018
Research article
 | 
17 Jul 2018
Research article |  | 17 Jul 2018

Correction of CCI cloud data over the Swiss Alps using ground-based radiation measurements

Fanny Jeanneret, Giovanni Martucci, Simon Pinnock, and Alexis Berne

Related authors

Solar background radiation temperature calibration of a pure rotational Raman lidar
Vasura Jayaweera, Robert J. Sica, Giovanni Martucci, and Alexander Haefele
Atmos. Meas. Tech., 18, 1461–1469, https://doi.org/10.5194/amt-18-1461-2025,https://doi.org/10.5194/amt-18-1461-2025, 2025
Short summary
Flash-flood Alert System using Ensemble Radar Prediction and Rainfall-runoff Simulation
Frédéric G. Jordan, Clément Cosson, Marco Gabella, Ioannis V. Sideris, Adrien Liernur, Alexis Berne, and Urs Germann
Abstr. Int. Cartogr. Assoc., 9, 19, https://doi.org/10.5194/ica-abs-9-19-2025,https://doi.org/10.5194/ica-abs-9-19-2025, 2025
Double-moment normalization of hail size number distributions over Switzerland
Alfonso Ferrone, Jérôme Kopp, Martin Lainer, Marco Gabella, Urs Germann, and Alexis Berne
Atmos. Meas. Tech., 17, 7143–7168, https://doi.org/10.5194/amt-17-7143-2024,https://doi.org/10.5194/amt-17-7143-2024, 2024
Short summary
Biological and dust aerosols as sources of ice-nucleating particles in the eastern Mediterranean: source apportionment, atmospheric processing and parameterization
Kunfeng Gao, Franziska Vogel, Romanos Foskinis, Stergios Vratolis, Maria I. Gini, Konstantinos Granakis, Anne-Claire Billault-Roux, Paraskevi Georgakaki, Olga Zografou, Prodromos Fetfatzis, Alexis Berne, Alexandros Papayannis, Konstantinos Eleftheridadis, Ottmar Möhler, and Athanasios Nenes
Atmos. Chem. Phys., 24, 9939–9974, https://doi.org/10.5194/acp-24-9939-2024,https://doi.org/10.5194/acp-24-9939-2024, 2024
Short summary
A 7-year record of vertical profiles of radar measurements and precipitation estimates at Dumont d'Urville, Adélie Land, East Antarctica
Valentin Wiener, Marie-Laure Roussel, Christophe Genthon, Étienne Vignon, Jacopo Grazioli, and Alexis Berne
Earth Syst. Sci. Data, 16, 821–836, https://doi.org/10.5194/essd-16-821-2024,https://doi.org/10.5194/essd-16-821-2024, 2024
Short summary

Related subject area

Subject: Clouds | Technique: Remote Sensing | Topic: Validation and Intercomparisons
Factors limiting contrail detection in satellite imagery
Oliver G. A. Driver, Marc E. J. Stettler, and Edward Gryspeerdt
Atmos. Meas. Tech., 18, 1115–1134, https://doi.org/10.5194/amt-18-1115-2025,https://doi.org/10.5194/amt-18-1115-2025, 2025
Short summary
Evaluating spectral cloud effective radius retrievals from the Enhanced MODIS Airborne Simulator (eMAS) during ORACLES
Kerry Meyer, Steven Platnick, G. Thomas Arnold, Nandana Amarasinghe, Daniel Miller, Jennifer Small-Griswold, Mikael Witte, Brian Cairns, Siddhant Gupta, Greg McFarquhar, and Joseph O'Brien
Atmos. Meas. Tech., 18, 981–1011, https://doi.org/10.5194/amt-18-981-2025,https://doi.org/10.5194/amt-18-981-2025, 2025
Short summary
A method to retrieve mixed phase cloud vertical structure from airborne lidar
Ewan Crosbie, Johnathan Hair, Amin Nehrir, Richard Ferrare, Chris Hostetler, Taylor Shingler, David Harper, Marta Fenn, James Collins, Rory Barton-Grimley, Brian Collister, K. Lee Thornhill, Christiane Voigt, Simon Kirschler, and Armin Sorooshian
EGUsphere, https://doi.org/10.5194/egusphere-2024-3844,https://doi.org/10.5194/egusphere-2024-3844, 2024
Short summary
Consideration of the cloud motion for aircraft-based stereographically derived cloud geometry and cloud top heights
Lea Volkmer, Tobias Kölling, Tobias Zinner, and Bernhard Mayer
Atmos. Meas. Tech., 17, 6807–6817, https://doi.org/10.5194/amt-17-6807-2024,https://doi.org/10.5194/amt-17-6807-2024, 2024
Short summary
Exploring the characteristics of Fengyun-4A Advanced Geostationary Radiation Imager (AGRI) visible reflectance using the China Meteorological Administration Mesoscale (CMA-MESO) forecasts and its implications for data assimilation
Yongbo Zhou, Yubao Liu, Wei Han, Yuefei Zeng, Haofei Sun, Peilong Yu, and Lijian Zhu
Atmos. Meas. Tech., 17, 6659–6675, https://doi.org/10.5194/amt-17-6659-2024,https://doi.org/10.5194/amt-17-6659-2024, 2024
Short summary

Cited articles

Barbaro, S., Cannata, G., Coppolino, S., Leone, C., and Sinagra, E.: Correlation between relative sunshine and state of the sky, Sol. Energy, 26, 537–550, https://doi.org/10.1016/0038-092X(81)90166-3, 1981. a
Barnes, W., Pagano, T., and Salomonson, V.: Prelaunch characteristics of the Moderate Resolution Imaging Spectroradiometer (MODIS) on EOS-AM1, IEEE T. Geosci. Remote, 36, 1088–1100, https://doi.org/10.1109/36.700993, 1998. a
Bojanowski, J., Stöckli, R., Tetzlaff, A., and Kunz, H.: The Impact of Time Difference between Satellite Overpass and Ground Observation on Cloud Cover Performance Statistics, Remote Sens.-Basel, 6, 12866–12884, https://doi.org/10.3390/rs61212866, 2014. a
Breiman, L.: Classification and regression trees, Chapman & Hall/CRC, New York, NY, available at: http://lib.myilibrary.com?id=1043565 (last access: 18 May 2018), 1984. a
Cracknell, A. P.: The advanced very high resolution radiometer (AVHRR), Taylor & Francis, London, Bristol, PA, 1997. a
Download
Short summary
Above mountainous regions, satellites may have difficulty in discriminating snow from clouds: this study proposes a new method that combines different ground-based measurements to assess the sky cloudiness with high temporal resolution. The method's output is used as input to a model capable of identifying false satellite cloud detections. Results show that 62 ± 13 % of these false detections can be identified by the model when applied to the AVHRR-PM and MODIS Aqua data sets of the Cloud_cci.
Share