Articles | Volume 13, issue 6
https://doi.org/10.5194/amt-13-3263-2020
© Author(s) 2020. 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-13-3263-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Evaluation of the MODIS Collection 6 multilayer cloud detection algorithm through comparisons with CloudSat Cloud Profiling Radar and CALIPSO CALIOP products
Benjamin Marchant
CORRESPONDING AUTHOR
NASA Goddard Space Flight Center, Greenbelt, MD, USA
USRA Universities Space Research
Association, Columbia, MD, USA
Steven Platnick
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Kerry Meyer
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Galina Wind
NASA Goddard Space Flight Center, Greenbelt, MD, USA
SSAI: Science Systems and Applications, Inc., Greenbelt, MD, USA
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42 citations as recorded by crossref.
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- Uncertainty Assessment of the Vertically-Resolved Cloud Amount for Joint CloudSat–CALIPSO Radar–Lidar Observations A. Kotarba & M. Solecki
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- An Assessment of Short-term Global and East Asian Local Climate Feedbacks using New Radiative Kernels F. Wang et al.
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- Decreasing aerosols increase the European summer diurnal temperature range C. Roesch et al.
- Variability of Parameters of Single-Layer Cloud Fields over Western Siberia in Winter in 2001–2019 according to MODIS Data V. Astafurov et al.
- Errors in stereoscopic retrievals of cloud top height for single-layer clouds J. Loveridge & L. Di Girolamo
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- Atmospheric Impacts of Oil Well Blowouts: A Synergistic Assessment Using Satellite Remote Sensing and WRF-Chem Modeling J. Biswas et al.
- Estimating Layered Cloud Cover from Geostationary Satellite Radiometric Measurements: A Novel Method and Its Application Z. Tan et al.
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- Comparison of MODIS- and CALIPSO-Derived Temporal Aerosol Optical Depth over Yellow River Basin (China) from 2007 to 2015 Z. Zhang et al.
42 citations as recorded by crossref.
- Observing short-timescale cloud development to constrain aerosol–cloud interactions E. Gryspeerdt et al.
- Quasi-Lagrangian observations of cloud transitions during the initial phase of marine cold air outbreaks in the Arctic – Part 1: Temporal and spatial evolution A. Weber et al.
- A monthly 1° resolution dataset of daytime cloud fraction over the Arctic during 2000–2020 based on multiple satellite products X. Liu et al.
- Cloud-Base Height Retrieval from MODIS Satellite Data Based on Self-Organizing Neural Networks A. Skorokhodov et al.
- Validation and comparison of cloud properties retrieved from passive satellites over the Southern Ocean A. Kurup et al.
- Assessing Overlapping Cloud Top Heights: An Extrapolation Method and Its Performance Z. Tan et al.
- Characterizing clouds with the CCClim dataset, a machine learning cloud class climatology A. Kaps et al.
- Comparison of Cloud Properties between SGLI Aboard GCOM-C Satellite and MODIS Aboard Terra Satellite P. Khatri & T. Hayasaka
- Can the water vapor from the hinterland Tibetan Plateau affect the cloud and precipitation of the Source Region of the Three Rivers? Z. Liu et al.
- High-Resolution Detection of Stratospheric Aerosols in CALIPSO Atmospheric Lidar Data Facilitated by the CALIOP-Density-Dimension Algorithm U. Herzfeld et al.
- Adaptive Gap-Filling of Multispectral Images at Coarse and Fine Spatial Resolution S. Afsharipour et al.
- Characterizing Vertical Stratification of the Cloud Thermodynamic Phase With a Combined Use of CALIPSO Lidar and MODIS SWIR Measurements T. Nagao & K. Suzuki
- Evaluation of cloud height, optical thickness, and phase retrievals from the CHROMA algorithm applied to Sentinel-3 OLCI data A. Sayer et al.
- Three-dimensional cloud radar reflectivity reconstruction from geostationary multispectral imagery using a context-aware Transformer S. Zhang et al.
- An Extrapolation Method for Estimating Overlapping Cloud Base Height From Passive Radiometers Z. Tan et al.
- The CHROMA cloud-top pressure retrieval algorithm for the Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) satellite mission A. Sayer et al.
- On the Scattering-Angle Dependence of the Spectral Consistency of Ice Cloud Optical Thickness Retrievals Based on Geostationary Satellite Observations D. Li et al.
- Diurnal variation of total cloud cover and cloud type in summer in Xinjiang, China based on FY4A and ERA5 Y. Zeng et al.
- Retrieving cloud base height from passive radiometer observations via a systematic effective cloud water content table Z. Tan et al.
- Advanced Dual-Satellite Method for Detection of Low Stratus and Fog near Japan at Dawn from FY-4A and Himawari-8 J. Yang et al.
- Retrieval of aerosol optical depth over the Arctic cryosphere during spring and summer using satellite observations B. Swain et al.
- Identification of ice-over-water multilayer clouds using multispectral satellite data in an artificial neural network S. Sun-Mack et al.
- Uncertainty Assessment of the Vertically-Resolved Cloud Amount for Joint CloudSat–CALIPSO Radar–Lidar Observations A. Kotarba & M. Solecki
- Accurately detecting nocturnal cloud over land using next-generation geostationary satellite imagery: A case study using advanced Himawari imager data for Australia Y. Qin et al.
- Detecting Multilayer Clouds From the Geostationary Advanced Himawari Imager Using Machine Learning Techniques Z. Tan et al.
- Algorithm for Detecting Ice Overlaying Water Multilayer Clouds Using the Infrared Bands of FY-4A/AGRI K. Wang et al.
- The prevalence of Arctic multilayer clouds and their observed and modelled characteristics G. Wallentin et al.
- Combining Cloud Properties from CALIPSO, CloudSat, and MODIS for Top-of-Atmosphere (TOA) Shortwave Broadband Irradiance Computations: Impact of Cloud Vertical Profiles S. Ham et al.
- In situ microphysics of multilayer clouds in the outflow regions of a low-pressure system during the Indian monsoon N. Malap et al.
- Towards retrieving cloud top entrainment velocities from MISR cloud motion vectors A. Mitra & V. Ghate
- Retrieval of Ice‐Over‐Water Cloud Microphysical and Optical Properties Using Passive Radiometers S. Teng et al.
- An Assessment of Short-term Global and East Asian Local Climate Feedbacks using New Radiative Kernels F. Wang et al.
- Obtaining Cloud Base Height and Phase From Thermal Infrared Radiometry Using a Deep Learning Algorithm Q. Wang et al.
- Cloud Detection and Classification Algorithms for Himawari-8 Imager Measurements Based on Deep Learning W. Li et al.
- Decreasing aerosols increase the European summer diurnal temperature range C. Roesch et al.
- Variability of Parameters of Single-Layer Cloud Fields over Western Siberia in Winter in 2001–2019 according to MODIS Data V. Astafurov et al.
- Errors in stereoscopic retrievals of cloud top height for single-layer clouds J. Loveridge & L. Di Girolamo
- 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.
- Atmospheric Impacts of Oil Well Blowouts: A Synergistic Assessment Using Satellite Remote Sensing and WRF-Chem Modeling J. Biswas et al.
- Estimating Layered Cloud Cover from Geostationary Satellite Radiometric Measurements: A Novel Method and Its Application Z. Tan et al.
- VIIRS Edition 1 Cloud Properties for CERES, Part 2: Evaluation with CALIPSO C. Yost et al.
- Comparison of MODIS- and CALIPSO-Derived Temporal Aerosol Optical Depth over Yellow River Basin (China) from 2007 to 2015 Z. Zhang et al.
Saved (final revised paper)
Latest update: 09 May 2026
Short summary
Multilayer cloud scenes (such as an ice cloud overlapping a liquid cloud) are common in the Earth's atmosphere and are quite difficult to detect from space. The detection of multilayer clouds is important to better understand how they interact with the light and their impact on the climate. So, for the instrument MODIS an algorithm has been developed to detect those clouds, and this paper presents an evaluation of this algorithm by comparing it with
other instruments.
Multilayer cloud scenes (such as an ice cloud overlapping a liquid cloud) are common in the...