CALIPSO/CALIOP Cloud Phase Discrimination Algorithm

By Yongxiang Hu, D. Winker, Mark A. Vaughan, B. Lin, Ali H. Omar, C. Trepte, D. Flittner, Ping Yang, S. Nasiri, Bryan A. Baum and 8 more. 2009

321 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/27a6c9d05d00c2f967e19fbe3835a34f5eb4999f

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In Atmospheric Science

1. Mark A. Vaughan
2. Steven Ghan
3. D. Winker
4. Xiaohong Liu
5. J. Penner
6. Kathleen Powell
7. Ali H. Omar
8. Zhaoyan Liu

In Global and Planetary Change

1. Mark A. Vaughan
2. D. Winker
3. Steven Ghan
4. Xiaohong Liu
5. J. Penner
6. Kathleen Powell
7. Zhaoyan Liu
8. Ali H. Omar

Citations in the corpus

• Combined CloudSat‐CALIPSO‐MODIS retrievals of the properties of ice clouds (2010, unknown): “Unfortunately, even though depolarization ratio is available from CALIPSO in contiguous layers [ Hu et al. , 2009], the signal is too noisy to allow a confident identification of supercooled droplets at each radar ‐ lidar pixel.”
• Overview of the CALIPSO Mission and CALIOP Data Processing Algorithms (2009, methodology): “As the satellite orbits the earth, the range to the surface changes continually and the range gates are automatically adjusted by the payload controller to keep the geoid surface within the digitized range (Hunt et al. 2009).”
• Intercomparison of the cloud water phase among global climate models (2014, methodology): “Finally, particles classified as ice in clouds warmer than 0° C are reclassified as liquid, and particles in clouds colder than 40°C are reclassified as ice [Hu et al., 2009].”
• Application of the CALIOP layer product to evaluate the vertical distribution of aerosols estimated by global models: AeroCom phase I results (2012, result): “downwind of the continents, surface dust concentrations were shown to be under-estimated by most of AeroCom I models [Huneeus et al., 2011], which is consistent with our results showing a significant positive Za bias in these regions. Such is the case for the Zhang et al. [2011] study that revealed ”
• Improvements in Shortwave Bulk Scattering and Absorption Models for the Remote Sensing of Ice Clouds (2011, methodology): “The linear depolarization ratio d is estimated from the ratio of the perpendicular backscatter to the parallel backscatter for a given wavelength (Hu 2007; Hu et al. 2009).”