Improvements in Shortwave Bulk Scattering and Absorption Models for the Remote Sensing of Ice Clouds
By Bryan A. Baum, Ping Yang, Andrew J. Heymsfield, C. Schmitt, Yu Xie, A. Bansemer, Yongxiang Hu, Zhibo Zhang. 2011
222 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/ad47b6ed42f89616b4034b0a600b944f054feb3d
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
- Hugh Morrison
- Jason A. Milbrandt
- C. Hoose
- Wojciech W. Grabowski
- Olivier P. Prat
- A. Fridlind
- Matthew R. Kumjian
- A. Korolev
In Global and Planetary Change
- Hugh Morrison
- Jason A. Milbrandt
- C. Hoose
- Wojciech W. Grabowski
- A. Fridlind
- Matthew R. Kumjian
- A. Korolev
- J. Harrington
Citations in the corpus
- On the radiative properties of ice clouds: Light scattering, remote sensing, and radiation parameterization (2014, unknown): “The solar-band bulk scattering properties used in remote sensing applications (Baum et al., 2011) are given by: 〈Qext〉= ∫ λmax λmin ∫ rmax rmin [Qext(λ ,r)A(r)F(λ )S(λ )n(r)]drdλ∫ λmax λmin ∫ rmax rmin [A(r)F(λ )S(λ )n(r)]drdλ , (40) 〈Qsca〉= ∫ λmax λmin ∫ rmax rmin [Qsca(λ ,r)A(r)F(λ )S(λ…”
- Confronting the Challenge of Modeling Cloud and Precipitation Microphysics (2020, background): “For ice‐topped clouds, multiangle polarimetry allows inference of crystal shape (Baum et al., 2011; van Diedenhoven, Fridlind, et al., 2012; van Diedenhoven, 2018; van Diedenhoven et al., 2020), which may be especially valuable for evaluation of microphysical models predicting ice shape…”