Articles | Volume 8, issue 9
https://doi.org/10.5194/amt-8-3893-2015
https://doi.org/10.5194/amt-8-3893-2015
Research article
 | 
23 Sep 2015
Research article |  | 23 Sep 2015

A novel approach for the extraction of cloud motion vectors using airglow imager measurements

S. Satheesh Kumar, T. Narayana Rao, and A. Taori

Related authors

Assessment of small-scale variability of rainfall and multi-satellite precipitation estimates using measurements from a dense rain gauge network in Southeast India
K. Sunilkumar, T. Narayana Rao, and S. Satheeshkumar
Hydrol. Earth Syst. Sci., 20, 1719–1735, https://doi.org/10.5194/hess-20-1719-2016,https://doi.org/10.5194/hess-20-1719-2016, 2016

Related subject area

Subject: Clouds | Technique: Remote Sensing | Topic: Data Processing and Information Retrieval
ampycloud: an open-source algorithm to determine cloud base heights and sky coverage fractions from ceilometer data
Frédéric P. A. Vogt, Loris Foresti, Daniel Regenass, Sophie Réthoré, Néstor Tarin Burriel, Mervyn Bibby, Przemysław Juda, Simone Balmelli, Tobias Hanselmann, Pieter du Preez, and Dirk Furrer
Atmos. Meas. Tech., 17, 4891–4914, https://doi.org/10.5194/amt-17-4891-2024,https://doi.org/10.5194/amt-17-4891-2024, 2024
Short summary
Simulation and detection efficiency analysis for measurements of polar mesospheric clouds using a spaceborne wide-field-of-view ultraviolet imager
Ke Ren, Haiyang Gao, Shuqi Niu, Shaoyang Sun, Leilei Kou, Yanqing Xie, Liguo Zhang, and Lingbing Bu
Atmos. Meas. Tech., 17, 4825–4842, https://doi.org/10.5194/amt-17-4825-2024,https://doi.org/10.5194/amt-17-4825-2024, 2024
Short summary
The Chalmers Cloud Ice Climatology: retrieval implementation and validation
Adrià Amell, Simon Pfreundschuh, and Patrick Eriksson
Atmos. Meas. Tech., 17, 4337–4368, https://doi.org/10.5194/amt-17-4337-2024,https://doi.org/10.5194/amt-17-4337-2024, 2024
Short summary
The algorithm of microphysical-parameter profiles of aerosol and small cloud droplets based on the dual-wavelength lidar data
Huige Di, Xinhong Wang, Ning Chen, Jing Guo, Wenhui Xin, Shichun Li, Yan Guo, Qing Yan, Yufeng Wang, and Dengxin Hua
Atmos. Meas. Tech., 17, 4183–4196, https://doi.org/10.5194/amt-17-4183-2024,https://doi.org/10.5194/amt-17-4183-2024, 2024
Short summary
Bayesian cloud-top phase determination for Meteosat Second Generation
Johanna Mayer, Luca Bugliaro, Bernhard Mayer, Dennis Piontek, and Christiane Voigt
Atmos. Meas. Tech., 17, 4015–4039, https://doi.org/10.5194/amt-17-4015-2024,https://doi.org/10.5194/amt-17-4015-2024, 2024
Short summary

Cited articles

Argyle, E.: Techniques for edge detection, Proc. IEEE, 59, 285–286, 1971.
Batista, P. P., Takahashi, H., Gobbi, D., and Medeiros, A. F.: First airglow all sky images at 23° S, Adv. Space. Res., 26, 925–928, 2000.
Bedka, K. and Mecikalski, J. R.: Application of satellite derived atmospheric motion vectors for estimating Mesoscale flows, J. Appl. Meteorol., 44, 1761–1772, 2005.
Bhavanikumar, Y.: Portable lidar system for atmospheric boundary layer measurements, Opt. Eng., 45, 076201, https://doi.org/10.1117/1.2221555, 2006.
Borde, R. and García-Pereda, J.: Impact of wind guess on the tracking of atmospheric motion vectors, J. Atmos. Ocean. Tech., 31, 458–467, 2014.