Airborne validation of spatial properties measured by the CALIPSO lidar

By Matthew J. McGill, Mark A. Vaughan, C. Trepte, William D. Hart, Dennis L. Hlavka, D. Winker, R. Kuehn. 2007

198 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/5015b756e710b5e7881ead8b52eefff599545133

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

1. Mark A. Vaughan
2. D. Winker
3. Chris A. Hostetler
4. Kathleen Powell
5. Zhaoyan Liu
6. W. Hunt
7. R. Rogers
8. L. Thomason

In Global and Planetary Change

1. Mark A. Vaughan
2. D. Winker
3. Kathleen Powell
4. Chris A. Hostetler
5. Zhaoyan Liu
6. W. Hunt
7. R. Kuehn
8. R. Rogers

Citations in the corpus

• Sea surface wind speed estimation from space-based lidar measurements (2008, unknown): “These detectors have slightly different transient responses (Hu et al., 2007a; Hu et al., 2007b; McGill et al., 2007) and sensitivities.”
• Estimation of the vertical profile of sulfur dioxide injection into the atmosphere by a volcanic eruption using satellite column measurements and inverse transport modeling (2008, background): “Early validation from McGill et al. (2007) showed that the minimum detectable backscatter at 532 nm for sub-visible cirrus at 15 km altitude at resolution of 60 m vertical by 5 km horizontal during night-time is (8±1)×10−7 m−1 sr−1, which is in good agreement with the theoretical value of 7×10−7…”
• CALIPSO polar stratospheric cloud observations: second-generation detection algorithm and composition discrimination (2009, methodology): “Assessments of the CALIOP calibration, performance, and data quality have been documented elsewhere in the literature (e.g., Powell et al., 2009; Hunt et al., 2009; Winker et al., 2007; McGill et al., 2007).”
• Initial performance assessment of CALIOP (2007, background): “With sufficient averaging, CALIOP is also able to detect and characterize weak aerosol layers and thin clouds with optical depths of 0.01 or less [McGill et al., 2007], and so complements the information gained from existing satellites.”
• CALIPSO Lidar Calibration Algorithms. Part I: Nighttime 532-nm Parallel Channel and 532-nm Perpendicular Channel (2009, methodology): “This last factor is directly related to the minimum detectable backscatter coefficient for CALIOP, which in turn is a function of instrument design and the layer detection scheme applied to the data (Vaughan et al. 2005; McGill et al. 2007).”
• Fully Automated Detection of Cloud and Aerosol Layers in the CALIPSO Lidar Measurements (2009, background): “Numerous flights of both validation platforms have already been conducted, and the initial comparisons are highly encouraging (e.g., McGill et al. 2007; Liu et al. 2008).”
• Validation of aerosol and cloud layer structures from the space-borne lidar CALIOP using a ground-based lidar in Seoul, Korea (2008, background): “McGill et al. (2007) present initial airborne validation results where cloud layer top determinations from CALIPSO are found to be in good agreement with those from the Cloud Physics Lidar (CPL) onboard NASA ER-2 research aircraft.”