Articles | Volume 17, issue 9
https://doi.org/10.5194/acp-17-5973-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-17-5973-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
16 May 2017
Research article |
| 16 May 2017
Cloud vertical distribution from combined surface and space radar–lidar observations at two Arctic atmospheric observatories
Yinghui Liu
CORRESPONDING AUTHOR
Cooperative Institute of Meteorological Satellite Studies, University
of Wisconsin at Madison, Madison, WI, USA
Matthew D. Shupe
Cooperative Institute for Research in Environmental Sciences,
University of Colorado and NOAA Earth System Research Laboratory, Boulder,
CO, USA
Zhien Wang
Department of Atmospheric Science, University of Wyoming, Laramie, WY, USA
Gerald Mace
Atmospheric Sciences, University of Utah, Salt Lake City, UT, USA
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- Comparing Satellite‐ and Ground‐Based Observations of Cloud Occurrence Over High Southern Latitudes C. McErlich et al. 10.1029/2020JD033607
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- Turbulent heat fluxes in the North Water Polynya and ice estimated based on ASRv2 data and their impact on cloud H. Ren et al. 10.1016/j.accre.2024.09.004
- Validation of the Cloud_CCI (Cloud Climate Change Initiative) cloud products in the Arctic K. Vinjamuri et al. 10.5194/amt-16-2903-2023
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Latest update: 23 Nov 2024
Short summary
Detailed and accurate vertical distributions of cloud properties are essential to accurately calculate the surface radiative flux and to depict the mean climate state, and such information is more desirable in the Arctic due to its recent rapid changes and the challenging observation conditions. This study presents a feasible way to provide such information by blending cloud observations from surface and space-based instruments with the understanding of their respective strength and limitations.
Detailed and accurate vertical distributions of cloud properties are essential to accurately...
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