Articles | Volume 10, issue 6
https://doi.org/10.5194/amt-10-2361-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-10-2361-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
29 Jun 2017
Research article |
| 29 Jun 2017
Remote sensing of multiple cloud layer heights using multi-angular measurements
Kenneth Sinclair
CORRESPONDING AUTHOR
Department of Earth and Environmental Engineering, Columbia University, New York, NY 10025, USA
NASA/Goddard Institute for Space Studies, 2880 Broadway, New York, NY 10025, USA
Bastiaan van Diedenhoven
NASA/Goddard Institute for Space Studies, 2880 Broadway, New York, NY 10025, USA
Center for Climate Systems Research, Columbia University, New York, NY 10025, USA
Brian Cairns
NASA/Goddard Institute for Space Studies, 2880 Broadway, New York, NY 10025, USA
John Yorks
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
Andrzej Wasilewski
Trinnovim LLC, New York, NY, USA
Matthew McGill
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
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Cited
21 citations as recorded by crossref.
- A Classification of Ice Crystal Habits Using Combined Lidar and Scanning Polarimeter Observations during the SEAC4RS Campaign N. Midzak et al. 10.1175/JTECH-D-20-0037.1
- Development of neural network retrievals of liquid cloud properties from multi-angle polarimetric observations M. Segal-Rozenhaimer et al. 10.1016/j.jqsrt.2018.08.030
- Vertical profiles of droplet size distributions derived from cloud-side observations by the research scanning polarimeter: Tests on simulated data M. Alexandrov et al. 10.1016/j.atmosres.2020.104924
- Joint cloud water path and rainwater path retrievals from airborne ORACLES observations A. Dzambo et al. 10.5194/acp-21-5513-2021
- Towards multi-views cloud retrieval accounting for the 3-D structure collected by directional polarization camera H. Yu et al. 10.1016/j.isprsjprs.2024.04.028
- Inference of Precipitation in Warm Stratiform Clouds Using Remotely Sensed Observations of the Cloud Top Droplet Size Distribution K. Sinclair et al. 10.1029/2021GL092547
- Markovian Statistical Model of Cloud Optical Thickness. Part I: Theory and Examples M. Alexandrov et al. 10.1175/JAS-D-22-0125.1
- 3D cloud masking across a broad swath using multi-angle polarimetry and deep learning S. Foley et al. 10.5194/amt-17-7027-2024
- Evaluating spectral cloud effective radius retrievals from the Enhanced MODIS Airborne Simulator (eMAS) during ORACLES K. Meyer et al. 10.5194/amt-18-981-2025
- Spatially coordinated airborne data and complementary products for aerosol, gas, cloud, and meteorological studies: the NASA ACTIVATE dataset A. Sorooshian et al. 10.5194/essd-15-3419-2023
- Observations of Aerosol‐Cloud Interactions During the North Atlantic Aerosol and Marine Ecosystem Study K. Sinclair et al. 10.1029/2019GL085851
- Model-based evaluation of cloud geometry and droplet size retrievals from two-dimensional polarized measurements of specMACS L. Volkmer et al. 10.5194/amt-17-1703-2024
- The Aerosol Characterization from Polarimeter and Lidar (ACEPOL) airborne field campaign K. Knobelspiesse et al. 10.5194/essd-12-2183-2020
- Low-level liquid cloud properties during ORACLES retrieved using airborne polarimetric measurements and a neural network algorithm D. Miller et al. 10.5194/amt-13-3447-2020
- Three-Dimensional Cloud Structure Reconstruction from the Directional Polarimetric Camera H. Yu et al. 10.3390/rs11242894
- Polarimetric retrievals of cloud droplet number concentrations K. Sinclair et al. 10.1016/j.rse.2019.04.008
- Application of Radon Transform to Multi-Angle Measurements Made by the Research Scanning Polarimeter: A New Approach to Cloud Tomography. Part I: Theory and Tests on Simulated Data M. Alexandrov et al. 10.3389/frsen.2021.791130
- An evaluation of the liquid cloud droplet effective radius derived from MODIS, airborne remote sensing, and in situ measurements from CAMP2Ex D. Fu et al. 10.5194/acp-22-8259-2022
- Intercomparison of airborne multi-angle polarimeter observations from the Polarimeter Definition Experiment K. Knobelspiesse et al. 10.1364/AO.58.000650
- Variation of Ice Microphysical Properties With Temperature and Humidity at Tops of Convective Clouds B. van Diedenhoven 10.1029/2021GL093673
- Estimating cloud base height from Himawari-8 based on a random forest algorithm Z. Tan et al. 10.1080/01431161.2020.1854891
19 citations as recorded by crossref.
- A Classification of Ice Crystal Habits Using Combined Lidar and Scanning Polarimeter Observations during the SEAC4RS Campaign N. Midzak et al. 10.1175/JTECH-D-20-0037.1
- Development of neural network retrievals of liquid cloud properties from multi-angle polarimetric observations M. Segal-Rozenhaimer et al. 10.1016/j.jqsrt.2018.08.030
- Vertical profiles of droplet size distributions derived from cloud-side observations by the research scanning polarimeter: Tests on simulated data M. Alexandrov et al. 10.1016/j.atmosres.2020.104924
- Joint cloud water path and rainwater path retrievals from airborne ORACLES observations A. Dzambo et al. 10.5194/acp-21-5513-2021
- Towards multi-views cloud retrieval accounting for the 3-D structure collected by directional polarization camera H. Yu et al. 10.1016/j.isprsjprs.2024.04.028
- Inference of Precipitation in Warm Stratiform Clouds Using Remotely Sensed Observations of the Cloud Top Droplet Size Distribution K. Sinclair et al. 10.1029/2021GL092547
- Markovian Statistical Model of Cloud Optical Thickness. Part I: Theory and Examples M. Alexandrov et al. 10.1175/JAS-D-22-0125.1
- 3D cloud masking across a broad swath using multi-angle polarimetry and deep learning S. Foley et al. 10.5194/amt-17-7027-2024
- Evaluating spectral cloud effective radius retrievals from the Enhanced MODIS Airborne Simulator (eMAS) during ORACLES K. Meyer et al. 10.5194/amt-18-981-2025
- Spatially coordinated airborne data and complementary products for aerosol, gas, cloud, and meteorological studies: the NASA ACTIVATE dataset A. Sorooshian et al. 10.5194/essd-15-3419-2023
- Observations of Aerosol‐Cloud Interactions During the North Atlantic Aerosol and Marine Ecosystem Study K. Sinclair et al. 10.1029/2019GL085851
- Model-based evaluation of cloud geometry and droplet size retrievals from two-dimensional polarized measurements of specMACS L. Volkmer et al. 10.5194/amt-17-1703-2024
- The Aerosol Characterization from Polarimeter and Lidar (ACEPOL) airborne field campaign K. Knobelspiesse et al. 10.5194/essd-12-2183-2020
- Low-level liquid cloud properties during ORACLES retrieved using airborne polarimetric measurements and a neural network algorithm D. Miller et al. 10.5194/amt-13-3447-2020
- Three-Dimensional Cloud Structure Reconstruction from the Directional Polarimetric Camera H. Yu et al. 10.3390/rs11242894
- Polarimetric retrievals of cloud droplet number concentrations K. Sinclair et al. 10.1016/j.rse.2019.04.008
- Application of Radon Transform to Multi-Angle Measurements Made by the Research Scanning Polarimeter: A New Approach to Cloud Tomography. Part I: Theory and Tests on Simulated Data M. Alexandrov et al. 10.3389/frsen.2021.791130
- An evaluation of the liquid cloud droplet effective radius derived from MODIS, airborne remote sensing, and in situ measurements from CAMP2Ex D. Fu et al. 10.5194/acp-22-8259-2022
- Intercomparison of airborne multi-angle polarimeter observations from the Polarimeter Definition Experiment K. Knobelspiesse et al. 10.1364/AO.58.000650
2 citations as recorded by crossref.
Latest update: 03 Jul 2025
Short summary
We present a multi-angular contrast approach to retrieve cloud top height (CTH) using photogrammetry. We demonstrate the method’s ability to retrieve heights of multiple cloud layers within single footprints, using the multiple views available for each footprint. This paper provides an in-depth description and performance analysis of the CTH retrieval technique and the retrieved cloud heights are evaluated using collocated data from the Cloud Physics Lidar.
We present a multi-angular contrast approach to retrieve cloud top height (CTH) using...
