Bulk Scattering Properties for the Remote Sensing of Ice Clouds. Part II: Narrowband Models

By Bryan A. Baum, Ping Yang, Andrew J. Heymsfield, Steven Platnick, Michael D. King, Yongxiang Hu, S. Bedka. 2005

273 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/3f4b2190d7a3140c449d95e96070f4288e61e72d

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. Ping Yang
2. Kuo-Nan Liou
3. Graeme L. Stephens
4. Lei Bi
5. David Crisp
6. Bryan A. Baum
7. Bingqi Yi
8. Chao Liu

In Global and Planetary Change

1. Ping Yang
2. Kuo-Nan Liou
3. Graeme L. Stephens
4. Lei Bi
5. David Crisp
6. Bryan A. Baum
7. Bingqi Yi
8. Chao Liu

Citations in the corpus

• Cloud ice: A climate model challenge with signs and expectations of progress (2007, methodology): “The ice cloud models used for the retrievals are based on in situ observations from a variety of cloud measuring campaigns and include size distributions with varying habit combinations as a function of size [Baum et al., 2005].”
• Spatial and Temporal Distribution of Clouds Observed by MODIS Onboard the Terra and Aqua Satellites (2013, background): “We further note that ice cloud retrievals are particularly sensitive to particle shape (habit) assumptions [38], [52].”
• On the radiative properties of ice clouds: Light scattering, remote sensing, and radiation parameterization (2014, background): “…portions of the electromagnetic spectrum (Hess and Wiegner, 1994; Hess et al., 1998; Yang et al., 2000; Yang et al., 2003; Yang et al., 2005; Baum et al., 2005a, 2005b; Kim, 2006; Baum et al., 2007; Liu, 2008; Hong et al., 2009b; Petty and Huang, 2010; Baum et al., 2012; Yang et al., 2013;…”
• The MODIS Cloud Optical and Microphysical Products: Collection 6 Updates and Examples From Terra and Aqua (2017, methodology): “, ice radiative models [18], [19], multilayer cloud detection [20], [21], clear sky restoral (CSR) filtering [22], [23], pixel-level retrieval uncertainties [24], and global aggregated statistics [25].”
• Improved retrievals of carbon dioxide from Orbiting Carbon Observatory-2 with the version 8 ACOS algorithm (2018, methodology): “Before that, they were based on the band-averaged model developed by Baum et al. (2005) primarily for the MODIS instrument and known as the MODIS Collection 5 model.”
• Evolved Climates and Observational Discriminants for the TRAPPIST-1 Planetary System (2018, methodology): “For cirrus clouds, the optical properties from B. Baum’s Cirrus Optical Property Library (Baum et al. 2005)8 are used.”