Articles | Volume 21, issue 15
https://doi.org/10.5194/acp-21-11979-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-21-11979-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
10 Aug 2021
Research article |
| 10 Aug 2021
| 10 Aug 2021
Satellite retrieval of cloud base height and geometric thickness of low-level cloud based on CALIPSO
Xin Lu
State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, 430079, China
Feiyue Mao
State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, 430079, China
School of Remote Sensing and Information Engineering, Wuhan
University, Wuhan, 430079, China
Collaborative Innovation Center for Geospatial Technology, Wuhan,
430079, China
Daniel Rosenfeld
State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, 430079, China
Institute of Earth Sciences, The Hebrew University of Jerusalem,
Jerusalem, 91904, Israel
School of Atmospheric Sciences, Nanjing University, Nanjing, 210023, China
Joint International Research Laboratory of Atmospheric and Earth
System Sciences and Institute for Climate and Global Change Research,
Nanjing University, Nanjing, 210023, China
Zengxin Pan
Institute of Earth Sciences, The Hebrew University of Jerusalem,
Jerusalem, 91904, Israel
Wei Gong
Electronic Information School, Wuhan University, Wuhan, 430072, China
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Cited
24 citations as recorded by crossref.
- Marine cloud base height retrieval from MODIS cloud properties using machine learning J. Lenhardt et al.
- Impacts of Aerosol Optical Depth on Different Types of Cloud Macrophysical and Microphysical Properties over East Asia X. Han et al.
- Dust and smoke layers over the Atlantic Ocean weaken the underlying low-level cloud-top radiative cooling through different pathways S. Pandey & A. Adebiyi
- 基于U-Net神经网络的CALIPSO产品漏检层次分类 耿. Geng Yilin et al.
- Realistic representation of mixed-phase clouds increases projected climate warming S. Hofer et al.
- Case studies on the Physical and Optical Properties of Clouds Observed Over a Western Himalayan Site V. Sharma et al.
- Low‐Level Marine Tropical Clouds in Six CMIP6 Models Are Too Few, Too Bright but Also Too Compact and Too Homogeneous D. Konsta et al.
- The Temperature Control of Cloud Adiabatic Fraction and Coverage X. Lu et al.
- ARMTRAJ: a set of multipurpose trajectory datasets augmenting the Atmospheric Radiation Measurement (ARM) user facility measurements I. Silber et al.
- Global characteristics of cloud macro-physical properties from active satellite remote sensing Y. Chi et al.
- Effects of smoke on marine low clouds and radiation during 2020 western United States wildfires L. Dong et al.
- Obtaining Cloud Base Height and Phase From Thermal Infrared Radiometry Using a Deep Learning Algorithm Q. Wang et al.
- Insights into the Optical and Physical Characteristics of Low Clouds and Aerosols in Africa from Satellite Lidar Measurements B. Su et al.
- Dust semi-direct effects: low-level cloud response to free-tropospheric dust-induced longwave radiation over the North Atlantic Ocean S. Pandey & A. Adebiyi
- 基于星载多光谱辐射计成像仪的云底高度反演算法研究进展 谭. Tan Zhonghui et al.
- Technical note: Applicability of physics-based and machine-learning-based algorithms of a geostationary satellite in retrieving the diurnal cycle of cloud base height M. Wang et al.
- Frontiers in Satellite‐Based Estimates of Cloud‐Mediated Aerosol Forcing D. Rosenfeld et al.
- Cloud heights retrieval from passive satellite measurements using lapse rate information W. Zhang et al.
- The surface tension and cloud condensation nuclei (CCN) activation of sea spray aerosol particles J. Kleinheins et al.
- A new approach for identifying dominant cloud types and relationships between cloud types and precipitation vertical structure in tropical regions Y. Lin et al.
- Improving the Treatment of Subgrid Cloud Variability in Warm Rain Simulation in CESM2 H. Wang et al.
- Behavior of Cloud Base Height over Sumatra Mountains Region from Ceilometer Observations H. Yusnaini et al.
- Cloud-Base Height Retrieval from MODIS Satellite Data Based on Self-Organizing Neural Networks A. Skorokhodov et al.
- Evaluating satellite-based precipitation products for spatiotemporal drought analysis H. Khan et al.
24 citations as recorded by crossref.
- Marine cloud base height retrieval from MODIS cloud properties using machine learning J. Lenhardt et al.
- Impacts of Aerosol Optical Depth on Different Types of Cloud Macrophysical and Microphysical Properties over East Asia X. Han et al.
- Dust and smoke layers over the Atlantic Ocean weaken the underlying low-level cloud-top radiative cooling through different pathways S. Pandey & A. Adebiyi
- 基于U-Net神经网络的CALIPSO产品漏检层次分类 耿. Geng Yilin et al.
- Realistic representation of mixed-phase clouds increases projected climate warming S. Hofer et al.
- Case studies on the Physical and Optical Properties of Clouds Observed Over a Western Himalayan Site V. Sharma et al.
- Low‐Level Marine Tropical Clouds in Six CMIP6 Models Are Too Few, Too Bright but Also Too Compact and Too Homogeneous D. Konsta et al.
- The Temperature Control of Cloud Adiabatic Fraction and Coverage X. Lu et al.
- ARMTRAJ: a set of multipurpose trajectory datasets augmenting the Atmospheric Radiation Measurement (ARM) user facility measurements I. Silber et al.
- Global characteristics of cloud macro-physical properties from active satellite remote sensing Y. Chi et al.
- Effects of smoke on marine low clouds and radiation during 2020 western United States wildfires L. Dong et al.
- Obtaining Cloud Base Height and Phase From Thermal Infrared Radiometry Using a Deep Learning Algorithm Q. Wang et al.
- Insights into the Optical and Physical Characteristics of Low Clouds and Aerosols in Africa from Satellite Lidar Measurements B. Su et al.
- Dust semi-direct effects: low-level cloud response to free-tropospheric dust-induced longwave radiation over the North Atlantic Ocean S. Pandey & A. Adebiyi
- 基于星载多光谱辐射计成像仪的云底高度反演算法研究进展 谭. Tan Zhonghui et al.
- Technical note: Applicability of physics-based and machine-learning-based algorithms of a geostationary satellite in retrieving the diurnal cycle of cloud base height M. Wang et al.
- Frontiers in Satellite‐Based Estimates of Cloud‐Mediated Aerosol Forcing D. Rosenfeld et al.
- Cloud heights retrieval from passive satellite measurements using lapse rate information W. Zhang et al.
- The surface tension and cloud condensation nuclei (CCN) activation of sea spray aerosol particles J. Kleinheins et al.
- A new approach for identifying dominant cloud types and relationships between cloud types and precipitation vertical structure in tropical regions Y. Lin et al.
- Improving the Treatment of Subgrid Cloud Variability in Warm Rain Simulation in CESM2 H. Wang et al.
- Behavior of Cloud Base Height over Sumatra Mountains Region from Ceilometer Observations H. Yusnaini et al.
- Cloud-Base Height Retrieval from MODIS Satellite Data Based on Self-Organizing Neural Networks A. Skorokhodov et al.
- Evaluating satellite-based precipitation products for spatiotemporal drought analysis H. Khan et al.
Saved (final revised paper)
Latest update: 30 Apr 2026
Short summary
In this paper, a novel method for retrieving cloud base height and geometric thickness is developed and applied to produce a global climatology of boundary layer clouds with a high accuracy. The retrieval is based on the 333 m resolution low-level cloud distribution as obtained from the CALIPSO lidar data. The main part of the study describes the variability of cloud vertical geometrical properties in space, season, and time of the day. Resultant new insights are presented.
In this paper, a novel method for retrieving cloud base height and geometric thickness is...
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