Articles | Volume 7, issue 5
https://doi.org/10.5194/amt-7-1289-2014
https://doi.org/10.5194/amt-7-1289-2014
Research article
 | 
19 May 2014
Research article |  | 19 May 2014

Cloud detection and classification based on MAX-DOAS observations

T. Wagner, A. Apituley, S. Beirle, S. Dörner, U. Friess, J. Remmers, and R. Shaiganfar

Related authors

A new method for estimating megacity NOx emissions and lifetimes from satellite observations
Steffen Beirle and Thomas Wagner
Atmos. Meas. Tech., 17, 3439–3453, https://doi.org/10.5194/amt-17-3439-2024,https://doi.org/10.5194/amt-17-3439-2024, 2024
Short summary
NitroNet – A deep-learning NO2 profile retrieval prototype for the TROPOMI satellite instrument
Leon Kuhn, Steffen Beirle, Sergey Osipov, Andrea Pozzer, and Thomas Wagner
EGUsphere, https://doi.org/10.5194/egusphere-2024-1196,https://doi.org/10.5194/egusphere-2024-1196, 2024
Short summary
Validation of GEMS tropospheric NO2 columns and their diurnal variation with ground-based DOAS measurements
Kezia Lange, Andreas Richter, Tim Bösch, Bianca Zilker, Miriam Latsch, Lisa K. Behrens, Chisom M. Okafor, Hartmut Bösch, John P. Burrows, Alexis Merlaud, Gaia Pinardi, Caroline Fayt, Martina M. Friedrich, Ermioni Dimitropoulou, Michel Van Roozendael, Steffen Ziegler, Simona Ripperger-Lukosiunaite, Leon Kuhn, Bianca Lauster, Thomas Wagner, Hyunkee Hong, Donghee Kim, Lim-Seok Chang, Kangho Bae, Chang-Keun Song, and Hanlim Lee
EGUsphere, https://doi.org/10.5194/egusphere-2024-617,https://doi.org/10.5194/egusphere-2024-617, 2024
Short summary
High-resolution mapping of nitrogen oxide emissions in large US cities from TROPOMI retrievals of tropospheric nitrogen dioxide columns
Fei Liu, Steffen Beirle, Joanna Joiner, Sungyeon Choi, Zhining Tao, K. Emma Knowland, Steven J. Smith, Daniel Q. Tong, Siqi Ma, Zachary T. Fasnacht, and Thomas Wagner
Atmos. Chem. Phys., 24, 3717–3728, https://doi.org/10.5194/acp-24-3717-2024,https://doi.org/10.5194/acp-24-3717-2024, 2024
Short summary
Absolute radiance calibration in the UV and visible spectral range using atmospheric observations during twilight
Thomas Wagner and Jānis Puķīte
Atmos. Meas. Tech., 17, 277–297, https://doi.org/10.5194/amt-17-277-2024,https://doi.org/10.5194/amt-17-277-2024, 2024
Short summary

Related subject area

Subject: Clouds | Technique: Remote Sensing | Topic: Data Processing and Information Retrieval
Lidar–radar synergistic method to retrieve ice, supercooled water and mixed-phase cloud properties
Clémantyne Aubry, Julien Delanoë, Silke Groß, Florian Ewald, Frédéric Tridon, Olivier Jourdan, and Guillaume Mioche
Atmos. Meas. Tech., 17, 3863–3881, https://doi.org/10.5194/amt-17-3863-2024,https://doi.org/10.5194/amt-17-3863-2024, 2024
Short summary
Deriving cloud droplet number concentration from surface-based remote sensors with an emphasis on lidar measurements
Gerald G. Mace
Atmos. Meas. Tech., 17, 3679–3695, https://doi.org/10.5194/amt-17-3679-2024,https://doi.org/10.5194/amt-17-3679-2024, 2024
Short summary
A random forest algorithm for the prediction of cloud liquid water content from combined CloudSat–CALIPSO observations
Richard M. Schulte, Matthew D. Lebsock, John M. Haynes, and Yongxiang Hu
Atmos. Meas. Tech., 17, 3583–3596, https://doi.org/10.5194/amt-17-3583-2024,https://doi.org/10.5194/amt-17-3583-2024, 2024
Short summary
Identification of ice-over-water multilayer clouds using multispectral satellite data in an artificial neural network
Sunny Sun-Mack, Patrick Minnis, Yan Chen, Gang Hong, and William L. Smith Jr.
Atmos. Meas. Tech., 17, 3323–3346, https://doi.org/10.5194/amt-17-3323-2024,https://doi.org/10.5194/amt-17-3323-2024, 2024
Short summary
A new approach to crystal habit retrieval from far-infrared spectral radiance measurements
Gianluca Di Natale, Marco Ridolfi, and Luca Palchetti
Atmos. Meas. Tech., 17, 3171–3186, https://doi.org/10.5194/amt-17-3171-2024,https://doi.org/10.5194/amt-17-3171-2024, 2024
Short summary

Cited articles

Apituley, A., van Lammeren, A., and Russchenberg, H.: High time resolution cloud measure- ments with lidar during CLARA, Phys. Chem. Ear., 25, 107–113, 2000.
Apituley, A., Wilson, K. M., Potma, C., Volten, H., and de Graaf, M.: Performance assessment and application of Caeli – a high-performance Raman lidar for diurnal profiling of water vapour, aerosols and clouds, in: Proceedings of the 8th ISTP, edited by: Apituley, A., Russchenberg, H. W. J., and Monna, W. A. A., S06–O10, 2009.
Bogumil, K., Orphal, J., Homann, T., Voigt, S., Spietz, P., Fleischmann, O. C., Vogel, A., Hartmann, M., Bovensmann, H., Frerik, J., and Burrows, J. P.: "Measurements of molecular absorption spectra with the SCIAMACHY Pre-Flight Model: Instrument characterization and reference spectra for atmospheric remote sensing in the 230–2380 nm region", J. Photochem. Photobiol. A, 157, 167–184, 2003.
Clémer, K., Van Roozendael, M., Fayt, C., Hendrick, F., Hermans, C., Pinardi, G., Spurr, R., Wang, P., and De Mazière, M.: Multiple wavelength retrieval of tropospheric aerosol optical properties from MAXDOAS measurements in Beijing, Atmos. Meas. Tech., 3, 863–878, https://doi.org/10.5194/amt-3-863-2010, 2010.
Deutschmann, T., Beirle, S., Frieß, U., Grzegorski, M., Kern, C., Kritten, L., Platt, U., Pukite, J., Wagner, T., Werner, B., and Pfeilsticker, K.: The Monte Carlo Atmospheric Radiative Transfer Model McArtim: Introduction and Validation of Jacobians and 3D Features, J. Quant. Spectr. Rad. Transf., 112, 1119–1137, https://doi.org/10.1016/j.jqsrt.2010.12.009, 2011.
Download