Articles | Volume 12, issue 9
https://doi.org/10.5194/amt-12-4949-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-12-4949-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
12 Sep 2019
Research article |
| 12 Sep 2019
| 12 Sep 2019
Calibration of the 2007–2017 record of Atmospheric Radiation Measurements cloud radar observations using CloudSat
Pavlos Kollias
CORRESPONDING AUTHOR
School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY, USA
Center for Multiscale Applied Sensing, Brookhaven National Laboratory, Upton, NY,
USA
Bernat Puigdomènech Treserras
Department of Atmospheric and Oceanic Sciences, McGill University,
Montréal, Canada
Alain Protat
Bureau of Meteorology, Melbourne, Australia
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25 citations as recorded by crossref.
- Influence of biogenic emissions from boreal forests on aerosol–cloud interactions T. Petäjä et al. 10.1038/s41561-021-00876-0
- The Impact of Slantwise Descending Dry Intrusions on the Marine Boundary Layer and Air‐Sea Interface Over the ARM Eastern North Atlantic Site E. Ilotoviz et al. 10.1029/2020JD033879
- Ship‐Based Observations and Climate Model Simulations of Cloud Phase Over the Southern Ocean N. Desai et al. 10.1029/2023JD038581
- Drizzle, Turbulence, and Density Currents Below Post Cold Frontal Open Cellular Marine Stratocumulus Clouds V. Ghate et al. 10.1029/2019JD031586
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- The prevalence of precipitation from polar supercooled clouds I. Silber et al. 10.5194/acp-21-3949-2021
- Relationships Between Precipitation Properties and Large‐Scale Conditions During Subsidence at the Eastern North Atlantic Observatory K. Lamer et al. 10.1029/2019JD031848
- Evaluation of the reflectivity calibration of W-band radars based on observations in rain A. Myagkov et al. 10.5194/amt-13-5799-2020
- Three-way calibration checks using ground-based, ship-based, and spaceborne radars A. Protat et al. 10.5194/amt-15-915-2022
- Challenging and Improving the Simulation of Mid‐Level Mixed‐Phase Clouds Over the High‐Latitude Southern Ocean É. Vignon et al. 10.1029/2020JD033490
- Wet-radome attenuation in ARM cloud radars and its utilization in radar calibration using disdrometer measurements M. Deng et al. 10.5194/amt-18-1641-2025
- Deriving cloud droplet number concentration from surface-based remote sensors with an emphasis on lidar measurements G. Mace 10.5194/amt-17-3679-2024
- A robust low-level cloud and clutter discrimination method for ground-based millimeter-wavelength cloud radar X. Hu et al. 10.5194/amt-14-1743-2021
- Cloud and Precipitation Profiling Radars: The First Combined W- and K-Band Radar Profiler Measurements in Italy M. Montopoli et al. 10.3390/s23125524
- Multifrequency radar observations of clouds and precipitation including the G-band K. Lamer et al. 10.5194/amt-14-3615-2021
- Southern Ocean Cloud Properties Derived From CAPRICORN and MARCUS Data G. Mace et al. 10.1029/2020JD033368
- In-orbit cross-calibration of millimeter conically scanning spaceborne radars A. Battaglia et al. 10.5194/amt-16-3283-2023
- High temporal resolution estimates of Arctic snowfall rates emphasizing gauge and radar-based retrievals from the MOSAiC expedition S. Matrosov et al. 10.1525/elementa.2021.00101
- Calibrating radar wind profiler reflectivity factor using surface disdrometer observations C. Williams et al. 10.5194/amt-16-2381-2023
- Mind the gap – Part 1: Accurately locating warm marine boundary layer clouds and precipitation using spaceborne radars K. Lamer et al. 10.5194/amt-13-2363-2020
- New insights on the prevalence of drizzle in marine stratocumulus clouds based on a machine learning algorithm applied to radar Doppler spectra Z. Zhu et al. 10.5194/acp-22-7405-2022
- Boundary layer moisture variability at the Atmospheric Radiation Measurement (ARM) Eastern North Atlantic observatory during marine conditions M. Cadeddu et al. 10.5194/acp-23-3453-2023
- Arctic Cloud‐Base Ice Precipitation Properties Retrieved Using Bayesian Inference I. Silber 10.1029/2022JD038202
- Orbital-Radar v1.0.0: a tool to transform suborbital radar observations to synthetic EarthCARE cloud radar data L. Pfitzenmaier et al. 10.5194/gmd-18-101-2025
- Mixed‐Phase Clouds and Precipitation in Southern Ocean Cyclones and Cloud Systems Observed Poleward of 64°S by Ship‐Based Cloud Radar and Lidar S. Alexander et al. 10.1029/2020JD033626
3 citations as recorded by crossref.
- Characterization of shallow oceanic precipitation using profiling and scanning radar observations at the Eastern North Atlantic ARM observatory K. Lamer et al. 10.5194/amt-12-4931-2019
- Can liquid cloud microphysical processes be used for vertically pointing cloud radar calibration? M. Maahn et al. 10.5194/amt-12-3151-2019
- Comparison of Antarctic and Arctic Single‐Layer Stratiform Mixed‐Phase Cloud Properties Using Ground‐Based Remote Sensing Measurements D. Zhang et al. 10.1029/2019JD030673
Latest update: 23 Apr 2025
Short summary
Profiling millimeter-wavelength radars are the cornerstone instrument of surface-based observatories. Calibrating these radars is important for establishing a long record of observations suitable for model evaluation and improvement. Here, the CloudSat CPR is used to assess the calibration of a record over 10 years long of ARM cloud radar observations (a total of 44 years). The results indicate that correction coefficients are needed to improve record reliability and usability.
Profiling millimeter-wavelength radars are the cornerstone instrument of surface-based...
