Articles | Volume 8, issue 7
https://doi.org/10.5194/amt-8-2663-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-8-2663-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
02 Jul 2015
Research article |
| 02 Jul 2015
Joint retrievals of cloud and drizzle in marine boundary layer clouds using ground-based radar, lidar and zenith radiances
M. D. Fielding
CORRESPONDING AUTHOR
Department of Meteorology, University of Reading, Reading, UK
J. C. Chiu
Department of Meteorology, University of Reading, Reading, UK
R. J. Hogan
Department of Meteorology, University of Reading, Reading, UK
G. Feingold
NOAA Earth System Research Laboratory, Boulder, Colorado, USA
E. Eloranta
Space Science and Engineering Center, University of Wisconsin, Madison, Wisconsin, USA
E. J. O'Connor
Department of Meteorology, University of Reading, Reading, UK
Finnish Meteorological Institute, Helsinki, Finland
M. P. Cadeddu
Argonne National Laboratory, Argonne, Illinois, USA
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- Aerosol and cloud microphysics covariability in the northeast Pacific boundary layer estimated with ship‐based and satellite remote sensing observations D. Painemal et al. https://doi.org/10.1002/2016JD025771
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30 citations as recorded by crossref.
- Retrieving microphysical properties of concurrent pristine ice and snow using polarimetric radar observations N. Kedzuf et al. https://doi.org/10.5194/amt-14-6885-2021
- Understanding Global Model Systematic Shortwave Radiation Errors in Subtropical Marine Boundary Layer Cloud Regimes M. Ahlgrimm et al. https://doi.org/10.1029/2018MS001346
- A Technique for Estimating Liquid Droplet Diameter and Liquid Water Content in Stratocumulus Clouds Using Radar and Lidar Measurements J. Vivekanandan et al. https://doi.org/10.1175/JTECH-D-19-0092.1
- Observational Constraints on Warm Cloud Microphysical Processes Using Machine Learning and Optimization Techniques J. Chiu et al. https://doi.org/10.1029/2020GL091236
- Simultaneous and synergistic profiling of cloud and drizzle properties using ground-based observations S. Rusli et al. https://doi.org/10.5194/amt-10-4777-2017
- Impact of Rain on Retrieved Warm Cloud Properties Using Visible and Near-Infrared Reflectances Using Markov Chain Monte Carlo Techniques Z. Xu et al. https://doi.org/10.1109/TGRS.2022.3208007
- Microwave Passive Ground-Based Retrievals of Cloud and Rain Liquid Water Path in Drizzling Clouds: Challenges and Possibilities M. Cadeddu et al. https://doi.org/10.1109/TGRS.2017.2728699
- Ground-based observations of cloud and drizzle liquid water path in stratocumulus clouds M. Cadeddu et al. https://doi.org/10.5194/amt-13-1485-2020
- 基于激光雷达‐云雷达联合反演水云廓线（特邀） 孙. Sun Yuebo et al. https://doi.org/10.3788/AOS251986
- Spatio-temporal discrimination of molecular, aerosol and cloud scattering and polarization using a combination of a Raman lidar, Doppler cloud radar and microwave radiometer D. Wang et al. https://doi.org/10.1364/OE.393625
- A demonstration of adjoint methods for multi-dimensional remote sensing of the atmosphere and surface W. Martin & O. Hasekamp https://doi.org/10.1016/j.jqsrt.2017.09.031
- Understanding Aerosol–Cloud Interactions through Lidar Techniques: A Review F. Cairo et al. https://doi.org/10.3390/rs16152788
- Estimation of Surface Solar Radiation using Ground-based Remote Sensing Data on the Seoul Metropolitan Area J. Jee et al. https://doi.org/10.5467/JKESS.2018.39.3.228
- Correcting Biased Evaporation in CloudSat Warm Rain P. Kalmus & M. Lebsock https://doi.org/10.1109/TGRS.2017.2722469
- Aerosol and cloud microphysics covariability in the northeast Pacific boundary layer estimated with ship‐based and satellite remote sensing observations D. Painemal et al. https://doi.org/10.1002/2016JD025771
- Lidar–radar synergistic method to retrieve ice, supercooled water and mixed-phase cloud properties C. Aubry et al. https://doi.org/10.5194/amt-17-3863-2024
- Remote Sensing of Droplet Number Concentration in Warm Clouds: A Review of the Current State of Knowledge and Perspectives D. Grosvenor et al. https://doi.org/10.1029/2017RG000593
- Antarctic Cloud Macrophysical, Thermodynamic Phase, and Atmospheric Inversion Coupling Properties at McMurdo Station—Part II: Radiative Impact During Different Synoptic Regimes I. Silber et al. https://doi.org/10.1029/2018JD029471
- The preliminary measurements of water cloud microphysical properties using multiple scattering Raman lidar L. Qi et al. https://doi.org/10.1016/j.optcom.2024.130524
- What Are the Similarities and Differences in Marine Boundary Layer Cloud and Drizzle Microphysical Properties During the ACE‐ENA and MARCUS Field Campaigns? A. Marcovecchio et al. https://doi.org/10.1029/2022JD037109
- Separating Cloud and Drizzle Signals in Radar Doppler Spectra Using a Parametric Time Domain Method S. Joshil et al. https://doi.org/10.1175/JTECH-D-20-0061.1
- Antarctic Cloud Macrophysical, Thermodynamic Phase, and Atmospheric Inversion Coupling Properties at McMurdo Station: I. Principal Data Processing and Climatology I. Silber et al. https://doi.org/10.1029/2018JD028279
- Spatio‐temporal variability of warm rain events over southern West Africa from geostationary satellite observations for climate monitoring and model evaluation M. Young et al. https://doi.org/10.1002/qj.3372
- Assessment of Precipitating Marine Stratocumulus Clouds in the E3SMv1 Atmosphere Model: A Case Study from the ARM MAGIC Field Campaign X. Zheng et al. https://doi.org/10.1175/MWR-D-19-0349.1
- First Observations of G‐Band Radar Doppler Spectra B. Courtier et al. https://doi.org/10.1029/2021GL096475
- Maritime Cloud and Drizzle Microphysical Properties Retrieved From Ship‐Based Observations During MAGIC J. Brendecke et al. https://doi.org/10.1029/2020EA001588
- Marine boundary layer drizzle properties and their impact on cloud property retrieval P. Wu et al. https://doi.org/10.5194/amt-8-3555-2015
- First extended validation of satellite microwave liquid water path with ship‐based observations of marine low clouds D. Painemal et al. https://doi.org/10.1002/2016GL069061
- Evaluation of autoconversion and accretion enhancement factors in general circulation model warm-rain parameterizations using ground-based measurements over the Azores P. Wu et al. https://doi.org/10.5194/acp-18-17405-2018
- Cross-Platform Comparison of Marine Boundary Layer Cloud and Drizzle Properties over the Southern Ocean Using Airborne, Shipborne, and Satellite Observations A. Das et al. https://doi.org/10.3390/rs18132262
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