Articles | Volume 8, issue 11
https://doi.org/10.5194/amt-8-4931-2015
© 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-8-4931-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
24 Nov 2015
Research article |
| 24 Nov 2015
Impact of cloud horizontal inhomogeneity and directional sampling on the retrieval of cloud droplet size by the POLDER instrument
H. Shang
State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China
College of Resources and Environment, University of the Chinese Academy of Sciences, Beijing, China
L. Chen
CORRESPONDING AUTHOR
State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China
F. M. Bréon
Laboratoire des Sciences du Climat et de l'Environnement, UMR CEA-CNRS-UVSQ, Gif-Sur-Yvette, France
H. Letu
State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China
Research and Information Center, Tokai University, Tokyo, Japan
S. Li
State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China
Z. Wang
Satellite Environment Center, Ministry of Environmental Protection, Beijing, China
L. Su
State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China
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Cited
16 citations as recorded by crossref.
- Development of a daytime cloud and haze detection algorithm for Himawari‐8 satellite measurements over central and eastern China H. Shang et al. 10.1002/2016JD025659
- Information Content of Ice Cloud Properties from Multi-Spectral, -Angle and -Polarization Observations M. Zhang et al. 10.3390/rs12162548
- Model-based evaluation of cloud geometry and droplet size retrievals from two-dimensional polarized measurements of specMACS L. Volkmer et al. 10.5194/amt-17-1703-2024
- Synchronous Retrieval of LAI and Cab from UAV Remote Sensing: Development of Optimal Estimation Inversion Framework F. Zheng et al. 10.3390/agronomy13041119
- Comparisons of bispectral and polarimetric retrievals of marine boundary layer cloud microphysics: case studies using a LES–satellite retrieval simulator D. Miller et al. 10.5194/amt-11-3689-2018
- High-spatial-resolution retrieval of cloud droplet size distribution from polarized observations of the cloudbow V. Pörtge et al. 10.5194/amt-16-645-2023
- Remote Sensing of Droplet Number Concentration in Warm Clouds: A Review of the Current State of Knowledge and Perspectives D. Grosvenor et al. 10.1029/2017RG000593
- Impact of Orbital Characteristics and Viewing Geometry on the Retrieval of Cloud Properties From Multiangle Polarimetric Measurements Y. Wang et al. 10.1109/TGRS.2023.3329305
- Retrieval of liquid water cloud properties from POLDER-3 measurements using a neural network ensemble approach A. Di Noia et al. 10.5194/amt-12-1697-2019
- An evaluation of the liquid cloud droplet effective radius derived from MODIS, airborne remote sensing, and in situ measurements from CAMP<sup>2</sup>Ex D. Fu et al. 10.5194/acp-22-8259-2022
- Comparison of Daytime Low‐Level Cloud Properties Derived From GOES and ARM SGP Measurements T. McHardy et al. 10.1029/2018JD028911
- Spatial distribution of cloud droplet size properties from Airborne Hyper-Angular Rainbow Polarimeter (AirHARP) measurements B. McBride et al. 10.5194/amt-13-1777-2020
- An improved algorithm of cloud droplet size distribution from POLDER polarized measurements H. Shang et al. 10.1016/j.rse.2019.04.013
- Spatiotemporal Distributions of Cloud Parameters and the Temperature Response Over the Mongolian Plateau During 2006–2015 Based on MODIS Data S. Bao et al. 10.1109/JSTARS.2018.2857827
- Modeling Atmosphere-Ocean Radiative Transfer: A PACE Mission Perspective J. Chowdhary et al. 10.3389/feart.2019.00100
- Vertical profiles of droplet size distributions derived from cloud-side observations by the research scanning polarimeter: Tests on simulated data M. Alexandrov et al. 10.1016/j.atmosres.2020.104924
16 citations as recorded by crossref.
- Development of a daytime cloud and haze detection algorithm for Himawari‐8 satellite measurements over central and eastern China H. Shang et al. 10.1002/2016JD025659
- Information Content of Ice Cloud Properties from Multi-Spectral, -Angle and -Polarization Observations M. Zhang et al. 10.3390/rs12162548
- Model-based evaluation of cloud geometry and droplet size retrievals from two-dimensional polarized measurements of specMACS L. Volkmer et al. 10.5194/amt-17-1703-2024
- Synchronous Retrieval of LAI and Cab from UAV Remote Sensing: Development of Optimal Estimation Inversion Framework F. Zheng et al. 10.3390/agronomy13041119
- Comparisons of bispectral and polarimetric retrievals of marine boundary layer cloud microphysics: case studies using a LES–satellite retrieval simulator D. Miller et al. 10.5194/amt-11-3689-2018
- High-spatial-resolution retrieval of cloud droplet size distribution from polarized observations of the cloudbow V. Pörtge et al. 10.5194/amt-16-645-2023
- Remote Sensing of Droplet Number Concentration in Warm Clouds: A Review of the Current State of Knowledge and Perspectives D. Grosvenor et al. 10.1029/2017RG000593
- Impact of Orbital Characteristics and Viewing Geometry on the Retrieval of Cloud Properties From Multiangle Polarimetric Measurements Y. Wang et al. 10.1109/TGRS.2023.3329305
- Retrieval of liquid water cloud properties from POLDER-3 measurements using a neural network ensemble approach A. Di Noia et al. 10.5194/amt-12-1697-2019
- An evaluation of the liquid cloud droplet effective radius derived from MODIS, airborne remote sensing, and in situ measurements from CAMP<sup>2</sup>Ex D. Fu et al. 10.5194/acp-22-8259-2022
- Comparison of Daytime Low‐Level Cloud Properties Derived From GOES and ARM SGP Measurements T. McHardy et al. 10.1029/2018JD028911
- Spatial distribution of cloud droplet size properties from Airborne Hyper-Angular Rainbow Polarimeter (AirHARP) measurements B. McBride et al. 10.5194/amt-13-1777-2020
- An improved algorithm of cloud droplet size distribution from POLDER polarized measurements H. Shang et al. 10.1016/j.rse.2019.04.013
- Spatiotemporal Distributions of Cloud Parameters and the Temperature Response Over the Mongolian Plateau During 2006–2015 Based on MODIS Data S. Bao et al. 10.1109/JSTARS.2018.2857827
- Modeling Atmosphere-Ocean Radiative Transfer: A PACE Mission Perspective J. Chowdhary et al. 10.3389/feart.2019.00100
- Vertical profiles of droplet size distributions derived from cloud-side observations by the research scanning polarimeter: Tests on simulated data M. Alexandrov et al. 10.1016/j.atmosres.2020.104924
Latest update: 24 Apr 2024
Short summary
The cloud droplet size retrieval of POLDER is accurate even when the measurements are limited. The algorithm can be improved by (1) including the measurements in the primary rainbow region to provide accurate large droplet (>15 µm) retrievals; (2) performing higher-resolution retrieval (42 km × 42 km) to ensure more successful retrievals and reduce the bias introduced by cloud horizontal inhomogeneity.
The cloud droplet size retrieval of POLDER is accurate even when the measurements are limited....
