Publication Abstracts

Hu et al. 2021

Hu, Y., X. Lu, P. Zhai, C.A. Hostetler, J.W. Hair, B. Cairns, W. Sun, S. Stamnes, A. Omar, R. Baize, G. Videen, J. Mace, D. MCcoy, I. McCoy, and R. Wood, 2021: Liquid phase cloud microphysical property estimates from CALIPSO measurements. Front. Remote Sens., 2, 724615, doi:10.3389/frsen.2021.724615.

A neural-network algorithm that uses CALIPSO lidar measurements to infer droplet effective radius, extinction coefficient, liquid-water content, and droplet number concentration for water clouds is described and assessed. These results are verified against values inferred from High-Spectral-Resolution Lidar (HSRL) and Research Scanning Polarimeter (RSP) measurements made on an aircraft that flew under CALIPSO. The global cloud microphysical properties are derived from 14+ years of CALIPSO lidar measurements, and the droplet sizes are compared to corresponding values inferred from MODIS passive imagery. This new product will provide constraints to improve modeling of Earth's water cycle and cloud-climate interactions.

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BibTeX Citation

  author={Hu, Y. and Lu, X. and Zhai, P. and Hostetler, C. A. and Hair, J. W. and Cairns, B. and Sun, W. and Stamnes, S. and Omar, A. and Baize, R. and Videen, G. and Mace, J. and MCcoy, D. and McCoy, I. and Wood, R.},
  title={Liquid phase cloud microphysical property estimates from CALIPSO measurements},
  journal={Front. Remote Sens.},

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RIS Citation

ID  - hu07200b
AU  - Hu, Y.
AU  - Lu, X.
AU  - Zhai, P.
AU  - Hostetler, C. A.
AU  - Hair, J. W.
AU  - Cairns, B.
AU  - Sun, W.
AU  - Stamnes, S.
AU  - Omar, A.
AU  - Baize, R.
AU  - Videen, G.
AU  - Mace, J.
AU  - MCcoy, D.
AU  - McCoy, I.
AU  - Wood, R.
PY  - 2021
TI  - Liquid phase cloud microphysical property estimates from CALIPSO measurements
JA  - Front. Remote Sens.
VL  - 2
SP  - 724615
DO  - 10.3389/frsen.2021.724615
ER  -

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