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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27 citations as recorded by crossref.
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- Evaluating EAMv2 Simulated High Latitude Clouds Using ARM Measurements in the Northern and Southern Hemispheres M. Zhang et al. 10.1029/2022JD038364
- Characteristics and seasonal variations of cirrus clouds from ground-based lidar and satellite observations over Shouxian Area, China X. Deng et al. 10.1364/OE.523574
- Assessing Arctic low-level clouds and precipitation from above – a radar perspective I. Schirmacher et al. 10.5194/amt-16-4081-2023
- Arctic clouds in ECHAM6 and their sensitivity to cloud microphysics and surface fluxes J. Kretzschmar et al. 10.5194/acp-19-10571-2019
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- A global gridded dataset for cloud vertical structure from combined CloudSat and CALIPSO observations L. Bertrand et al. 10.5194/essd-16-1301-2024
- Seasonal Variations of Arctic Low‐Level Clouds and Its Linkage to Sea Ice Seasonal Variations Y. Yu et al. 10.1029/2019JD031014
- Comparison of TOA and BOA LW Radiation Fluxes Inferred From Ground‐Based Sensors, A‐Train Satellite Observations and ERA Reanalyzes at the High Arctic Station Eureka Over the 2002–2020 Period Y. Blanchard et al. 10.1029/2020JD033615
- Isolating the Surface Type Influence on Arctic Low‐Clouds P. Taylor & E. Monroe 10.1029/2022JD038098
- Comparing Satellite‐ and Ground‐Based Observations of Cloud Occurrence Over High Southern Latitudes C. McErlich et al. 10.1029/2020JD033607
- A satellite-based estimate of combustion aerosol cloud microphysical effects over the Arctic Ocean L. Zamora et al. 10.5194/acp-18-14949-2018
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- Low-level Arctic clouds: a blind zone in our knowledge of the radiation budget H. Griesche et al. 10.5194/acp-24-597-2024
- Time Evolution of the Cloud Response to Moisture Intrusions into the Arctic during Winter Y. Liu et al. 10.1175/JCLI-D-17-0896.1
- Contrasting ice formation in Arctic clouds: surface-coupled vs. surface-decoupled clouds H. Griesche et al. 10.5194/acp-21-10357-2021
- Arctic Cloud Response to a Perturbation in Sea Ice Concentration: The North Water Polynya E. Monroe et al. 10.1029/2020JD034409
- Arctic cloud annual cycle biases in climate models P. Taylor et al. 10.5194/acp-19-8759-2019
- Arctic cloud properties and associated radiative effects in the three newer reanalysis datasets (ERA5, MERRA-2, JRA-55): Discrepancies and possible causes H. Yeo et al. 10.1016/j.atmosres.2022.106080
- Evaluation of CanESM Cloudiness, Cloud Type and Cloud Radiative Forcing Climatologies Using the CALIPSO-GOCCP and CERES Datasets F. Boudala et al. 10.3390/rs14153668
- Arctic Clouds Simulated by a Multiscale Modeling Framework and Comparisons With Observations and Conventional GCMs Z. Li & K. Xu 10.1029/2019JD030522
- Statistics on clouds and their relation to thermodynamic conditions at Ny-Ålesund using ground-based sensor synergy T. Nomokonova et al. 10.5194/acp-19-4105-2019
- Validation of the Cloud_CCI (Cloud Climate Change Initiative) cloud products in the Arctic K. Vinjamuri et al. 10.5194/amt-16-2903-2023
- A Study of the Characteristics of Vertical Cloud Base Height Distribution over Eastern China J. Xu et al. 10.3390/atmos10060307
26 citations as recorded by crossref.
- Impacts of active satellite sensors' low-level cloud detection limitations on cloud radiative forcing in the Arctic Y. Liu 10.5194/acp-22-8151-2022
- Using a holographic imager on a tethered balloon system for microphysical observations of boundary layer clouds F. Ramelli et al. 10.5194/amt-13-925-2020
- Evaluating EAMv2 Simulated High Latitude Clouds Using ARM Measurements in the Northern and Southern Hemispheres M. Zhang et al. 10.1029/2022JD038364
- Characteristics and seasonal variations of cirrus clouds from ground-based lidar and satellite observations over Shouxian Area, China X. Deng et al. 10.1364/OE.523574
- Assessing Arctic low-level clouds and precipitation from above – a radar perspective I. Schirmacher et al. 10.5194/amt-16-4081-2023
- Arctic clouds in ECHAM6 and their sensitivity to cloud microphysics and surface fluxes J. Kretzschmar et al. 10.5194/acp-19-10571-2019
- Coupled mode of cloud, atmospheric circulation, and sea ice controlled by wave-3 pattern in Antarctic winter Y. Wang et al. 10.1088/1748-9326/ac5272
- Elucidating cloud vertical structures based on three-year Ka-band cloud radar observations from Beijing, China Y. Zhang et al. 10.1016/j.atmosres.2019.02.007
- A global gridded dataset for cloud vertical structure from combined CloudSat and CALIPSO observations L. Bertrand et al. 10.5194/essd-16-1301-2024
- Seasonal Variations of Arctic Low‐Level Clouds and Its Linkage to Sea Ice Seasonal Variations Y. Yu et al. 10.1029/2019JD031014
- Comparison of TOA and BOA LW Radiation Fluxes Inferred From Ground‐Based Sensors, A‐Train Satellite Observations and ERA Reanalyzes at the High Arctic Station Eureka Over the 2002–2020 Period Y. Blanchard et al. 10.1029/2020JD033615
- Isolating the Surface Type Influence on Arctic Low‐Clouds P. Taylor & E. Monroe 10.1029/2022JD038098
- Comparing Satellite‐ and Ground‐Based Observations of Cloud Occurrence Over High Southern Latitudes C. McErlich et al. 10.1029/2020JD033607
- A satellite-based estimate of combustion aerosol cloud microphysical effects over the Arctic Ocean L. Zamora et al. 10.5194/acp-18-14949-2018
- Toward a Better Surface Radiation Budget Analysis Over Sea Ice in the High Arctic Ocean: A Comparative Study Between Satellite, Reanalysis, and local‐scale Observations C. Di Biagio et al. 10.1029/2020JD032555
- Comparison of Macro- and Microphysical Properties in Precipitating and Non-Precipitating Clouds over Central-Eastern China during Warm Season X. Zheng et al. 10.3390/rs14010152
- Low-level Arctic clouds: a blind zone in our knowledge of the radiation budget H. Griesche et al. 10.5194/acp-24-597-2024
- Time Evolution of the Cloud Response to Moisture Intrusions into the Arctic during Winter Y. Liu et al. 10.1175/JCLI-D-17-0896.1
- Contrasting ice formation in Arctic clouds: surface-coupled vs. surface-decoupled clouds H. Griesche et al. 10.5194/acp-21-10357-2021
- Arctic Cloud Response to a Perturbation in Sea Ice Concentration: The North Water Polynya E. Monroe et al. 10.1029/2020JD034409
- Arctic cloud annual cycle biases in climate models P. Taylor et al. 10.5194/acp-19-8759-2019
- Arctic cloud properties and associated radiative effects in the three newer reanalysis datasets (ERA5, MERRA-2, JRA-55): Discrepancies and possible causes H. Yeo et al. 10.1016/j.atmosres.2022.106080
- Evaluation of CanESM Cloudiness, Cloud Type and Cloud Radiative Forcing Climatologies Using the CALIPSO-GOCCP and CERES Datasets F. Boudala et al. 10.3390/rs14153668
- Arctic Clouds Simulated by a Multiscale Modeling Framework and Comparisons With Observations and Conventional GCMs Z. Li & K. Xu 10.1029/2019JD030522
- Statistics on clouds and their relation to thermodynamic conditions at Ny-Ålesund using ground-based sensor synergy T. Nomokonova et al. 10.5194/acp-19-4105-2019
- Validation of the Cloud_CCI (Cloud Climate Change Initiative) cloud products in the Arctic K. Vinjamuri et al. 10.5194/amt-16-2903-2023
1 citations as recorded by crossref.
Latest update: 29 Jun 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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