Articles | Volume 15, issue 20
https://doi.org/10.5194/amt-15-6221-2022
https://doi.org/10.5194/amt-15-6221-2022
Research article
 | 
27 Oct 2022
Research article |  | 27 Oct 2022

3D cloud envelope and cloud development velocity from simulated CLOUD (C3IEL) stereo images

Paolo Dandini, Céline Cornet, Renaud Binet, Laetitia Fenouil, Vadim Holodovsky, Yoav Y. Schechner, Didier Ricard, and Daniel Rosenfeld

Related authors

Toward a versatile spaceborne architecture for immediate monitoring of the global methane pledge
Yuchen Wang, Xvli Guo, Yajie Huo, Mengying Li, Yuqing Pan, Shaocai Yu, Alexander Baklanov, Daniel Rosenfeld, John H. Seinfeld, and Pengfei Li
Atmos. Chem. Phys., 23, 5233–5249, https://doi.org/10.5194/acp-23-5233-2023,https://doi.org/10.5194/acp-23-5233-2023, 2023
Short summary
Retrieving 3D distributions of atmospheric particles using Atmospheric Tomography with 3D Radiative Transfer – Part 2: local optimization
Jesse Loveridge, Aviad Levis, Larry Di Girolamo, Vadim Holodovsky, Linda Forster, Anthony B. Davis, and Yoav Y. Schechner
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2023-44,https://doi.org/10.5194/amt-2023-44, 2023
Preprint under review for AMT
Short summary
Retrieving 3D distributions of atmospheric particles using Atmospheric Tomography with 3D Radiative Transfer – Part 1: Model description and Jacobian calculation
Jesse Loveridge, Aviad Levis, Larry Di Girolamo, Vadim Holodovsky, Linda Forster, Anthony B. Davis, and Yoav Y. Schechner
Atmos. Meas. Tech., 16, 1803–1847, https://doi.org/10.5194/amt-16-1803-2023,https://doi.org/10.5194/amt-16-1803-2023, 2023
Short summary
Establishment of an analytical model for remote sensing of typical stratocumulus cloud profiles under various precipitation and entrainment conditions
Huazhe Shang, Souichiro Hioki, Guillaume Penide, Céline Cornet, Husi Letu, and Jérôme Riedi
Atmos. Chem. Phys., 23, 2729–2746, https://doi.org/10.5194/acp-23-2729-2023,https://doi.org/10.5194/acp-23-2729-2023, 2023
Short summary
Impacts of condensable particulate matter on atmospheric organic aerosols and fine particulate matter (PM2.5) in China
Mengying Li, Shaocai Yu, Xue Chen, Zhen Li, Yibo Zhang, Zhe Song, Weiping Liu, Pengfei Li, Xiaoye Zhang, Meigen Zhang, Yele Sun, Zirui Liu, Caiping Sun, Jingkun Jiang, Shuxiao Wang, Benjamin N. Murphy, Kiran Alapaty, Rohit Mathur, Daniel Rosenfeld, and John H. Seinfeld
Atmos. Chem. Phys., 22, 11845–11866, https://doi.org/10.5194/acp-22-11845-2022,https://doi.org/10.5194/acp-22-11845-2022, 2022
Short summary

Related subject area

Subject: Clouds | Technique: Remote Sensing | Topic: Instruments and Platforms
Processing reflectivity and Doppler velocity from EarthCARE's cloud-profiling radar: the C-FMR, C-CD and C-APC products
Pavlos Kollias, Bernat Puidgomènech Treserras, Alessandro Battaglia, Paloma C. Borque, and Aleksandra Tatarevic
Atmos. Meas. Tech., 16, 1901–1914, https://doi.org/10.5194/amt-16-1901-2023,https://doi.org/10.5194/amt-16-1901-2023, 2023
Short summary
The EarthCARE Mission – Science and System Overview
Tobias Wehr, Takuji Kubota, Georgios Tzeremes, Kotska Wallace, Hirotaka Nakatsuka, Yuichi Ohno, Rob Koopman, Stephanie Rusli, Maki Kikuchi, Michael Eisinger, Toshiyuki Tanaka, Masatoshi Taga, Patrick Deghaye, Eichi Tomita, and Dirk Bernaerts
EGUsphere, https://doi.org/10.5194/egusphere-2022-1476,https://doi.org/10.5194/egusphere-2022-1476, 2023
Short summary
Passive ground-based remote sensing of radiation fog
Heather Guy, David D. Turner, Von P. Walden, Ian M. Brooks, and Ryan R. Neely
Atmos. Meas. Tech., 15, 5095–5115, https://doi.org/10.5194/amt-15-5095-2022,https://doi.org/10.5194/amt-15-5095-2022, 2022
Short summary
Locations for the best lidar view of mid-level and high clouds
Matthias Tesche and Vincent Noel
Atmos. Meas. Tech., 15, 4225–4240, https://doi.org/10.5194/amt-15-4225-2022,https://doi.org/10.5194/amt-15-4225-2022, 2022
Short summary
VELOX – a new thermal infrared imager for airborne remote sensing of cloud and surface properties
Michael Schäfer, Kevin Wolf, André Ehrlich, Christoph Hallbauer, Evelyn Jäkel, Friedhelm Jansen, Anna Elizabeth Luebke, Joshua Müller, Jakob Thoböll, Timo Röschenthaler, Bjorn Stevens, and Manfred Wendisch
Atmos. Meas. Tech., 15, 1491–1509, https://doi.org/10.5194/amt-15-1491-2022,https://doi.org/10.5194/amt-15-1491-2022, 2022
Short summary

Cited articles

Adler, R. F. and Fenn, D. D.: Thunderstorm vertical velocities estimated from satellite data, J. Atmos. Sci., 36, 1747–1754, https://doi.org/10.1175/1520-0469(1979)036<1747:TVVEFS>2.0.CO;2, 1979. 
Aides, A., Levis, A., Holodovsky, V., Schechner, Y. Y., Althausen, D., and Vainiger, A.: Distributed Sky Imaging Radiometry and Tomography, in: 2020 IEEE International Conference on Computational Photography (ICCP), 24–26 April 2020, St. Louis, MO, USA, 1–12, https://doi.org/10.1109/ICCP48838.2020.9105241, 2020. 
Baran, A. J., Francis, P. N., Labonnote, L., and Doutriaux-Boucher, M.: A scattering phase function for ice cloud: Tests of applicability using aircraft and satellite multi-angle multi-wavelength radiance measurements of cirrus, Q. J. Roy. Meteor. Soc., 127, 2395–2416, https://doi.org/10.1002/qj.49712757711, 2001. 
Baran, A. J., Cotton, R., Furtado, K., Havemann, S., Labonnote, L., Marenco, F., Smith, A., and Thelen, J.: A self consistent scattering model for cirrus. II: The high and low frequencies, Q. J. Roy. Meteor. Soc., 140, 1039–1057, https://doi.org/10.1002/qj.2193, 2014. 
Bony, S., Stevens, B., Frierson, D. , Jakob, C., Kageyama, M., Pincus, R., Shepherd, T. G., Sherwood, S. C., Siebesma, A. P., Sobel, A. H., Watanabe, M., and Webb, M. J.: Clouds, circulation and climate sensitivity, Nat. Geosci., 8, 261–268, https://doi.org/10.1038/ngeo2398, 2015. 
Download
Short summary
3D cloud envelope and development velocity are retrieved from realistic simulations of multi-view CLOUD (C3IEL) images. Cloud development velocity is derived by finding matching features between acquisitions separated by 20 s. The tie points are then mapped from image to space via 3D reconstruction of the cloud envelope obtained from 2 simultaneous images. The retrieved cloud topography as well as the velocities are in good agreement with the estimates obtained from the physical models.