Articles | Volume 12, issue 1
https://doi.org/10.5194/amt-12-703-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/amt-12-703-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Discriminating between clouds and aerosols in the CALIOP version 4.1 data products
NASA Langley Research Center, Hampton, VA, USA
Jayanta Kar
NASA Langley Research Center, Hampton, VA, USA
Science Systems and Applications (SSAI), Hampton, VA, USA
Shan Zeng
NASA Langley Research Center, Hampton, VA, USA
Science Systems and Applications (SSAI), Hampton, VA, USA
Jason Tackett
NASA Langley Research Center, Hampton, VA, USA
Science Systems and Applications (SSAI), Hampton, VA, USA
Mark Vaughan
NASA Langley Research Center, Hampton, VA, USA
Melody Avery
NASA Langley Research Center, Hampton, VA, USA
Jacques Pelon
LATMOS, Sorbonne Université, Université de Versailles Saint Quentin, CNRS, Paris, France
Brian Getzewich
NASA Langley Research Center, Hampton, VA, USA
Science Systems and Applications (SSAI), Hampton, VA, USA
Kam-Pui Lee
NASA Langley Research Center, Hampton, VA, USA
Science Systems and Applications (SSAI), Hampton, VA, USA
Brian Magill
NASA Langley Research Center, Hampton, VA, USA
Science Systems and Applications (SSAI), Hampton, VA, USA
Ali Omar
NASA Langley Research Center, Hampton, VA, USA
Patricia Lucker
NASA Langley Research Center, Hampton, VA, USA
Science Systems and Applications (SSAI), Hampton, VA, USA
Charles Trepte
NASA Langley Research Center, Hampton, VA, USA
David Winker
NASA Langley Research Center, Hampton, VA, USA
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- Spatio-temporal variability of cloud top and tropopause heights over the Arctic from 10-year CALIPSO, GPSRO and MERRA-2 datasets H. Yeo et al. 10.1016/j.atmosres.2022.106317
- Cloud Cover over the Sahara during the Summer and Associated Circulation Features N. Selami et al. 10.3390/atmos12040428
- Study of Antarctic Blowing Snow Storms Using MODIS and CALIOP Observations With a Machine Learning Model Y. Yang et al. 10.1029/2020EA001310
- Investigating a Persistent Stratospheric Aerosol Layer Observed over Southern Europe during 2019 K. Voudouri et al. 10.3390/rs15225394
- CALIOP-Based Quantification of Central Asian Dust Transport Y. Han et al. 10.3390/rs14061416
- Cloud–Aerosol Classification Based on the U-Net Model and Automatic Denoising CALIOP Data X. Zhou et al. 10.3390/rs16050904
- Assessment of spatiotemporal features and potential sources of atmospheric aerosols over the Tianshan Mountains in arid central Asia Y. Ge et al. 10.1016/j.atmosenv.2022.119502
- Upper troposphere dust belt formation processes vary seasonally and spatially in the Northern Hemisphere K. Yang et al. 10.1038/s43247-022-00353-5
- Lessons Learned from the Updated GEWEX Cloud Assessment Database C. Stubenrauch et al. 10.1007/s10712-024-09824-0
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- Important role of stratospheric injection height for the distribution and radiative forcing of smoke aerosol from the 2019–2020 Australian wildfires B. Heinold et al. 10.5194/acp-22-9969-2022
- Spatio-Temporal Variability of Cloud Top and Tropopause Heights Over the Arctic from 10-Year Calipso, Gpsro and Merra-2 Datasets H. Yeo et al. 10.2139/ssrn.4074642
- 3D assimilation and radiative impact assessment of aerosol black carbon over the Indian region using aircraft, balloon, ground-based, and multi-satellite observations N. Kala et al. 10.5194/acp-23-12801-2023
- Exploring the Cloud Top Phase Partitioning in Different Cloud Types Using Active and Passive Satellite Sensors O. Bruno et al. 10.1029/2020GL089863
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4 citations as recorded by crossref.
- The CALIPSO version 4 automated aerosol classification and lidar ratio selection algorithm M. Kim et al. 10.5194/amt-11-6107-2018
- CALIPSO lidar calibration at 532 nm: version 4 daytime algorithm B. Getzewich et al. 10.5194/amt-11-6309-2018
- Extinction and optical depth retrievals for CALIPSO's Version 4 data release S. Young et al. 10.5194/amt-11-5701-2018
- CALIPSO lidar calibration at 1064 nm: version 4 algorithm M. Vaughan et al. 10.5194/amt-12-51-2019
Latest update: 23 Nov 2024
Short summary
We describe the enhancements made to the cloud–aerosol discrimination (CAD) algorithms used to produce the CALIPSO version 4 (V4) data products. Revisions to the CAD probability distribution functions have greatly improved the recognition of aerosol layers lofted into the upper troposphere, and CAD is now applied to all layers detected in the stratosphere and all layers detected at single-shot resolution. Detailed comparisons show significant improvements relative to previous versions.
We describe the enhancements made to the cloud–aerosol discrimination (CAD) algorithms used to...
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