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.
Research article
| 
19 Jun 2020
Research article |
| 19 Jun 2020
| 19 Jun 2020
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
Viewed
Total article views: 2,327 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 23 Jan 2020)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,568 | 706 | 53 | 2,327 | 41 | 47 |
- HTML: 1,568
- PDF: 706
- XML: 53
- Total: 2,327
- BibTeX: 41
- EndNote: 47
Total article views: 1,793 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 19 Jun 2020)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,257 | 491 | 45 | 1,793 | 38 | 44 |
- HTML: 1,257
- PDF: 491
- XML: 45
- Total: 1,793
- BibTeX: 38
- EndNote: 44
Total article views: 534 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 23 Jan 2020)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 311 | 215 | 8 | 534 | 3 | 3 |
- HTML: 311
- PDF: 215
- XML: 8
- Total: 534
- BibTeX: 3
- EndNote: 3
Viewed (geographical distribution)
Total article views: 2,327 (including HTML, PDF, and XML)
Thereof 2,121 with geography defined
and 206 with unknown origin.
Total article views: 1,793 (including HTML, PDF, and XML)
Thereof 1,681 with geography defined
and 112 with unknown origin.
Total article views: 534 (including HTML, PDF, and XML)
Thereof 440 with geography defined
and 94 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
24 citations as recorded by crossref.
- Observing short-timescale cloud development to constrain aerosol–cloud interactions E. Gryspeerdt et al. 10.5194/acp-22-11727-2022
- Detecting Multilayer Clouds From the Geostationary Advanced Himawari Imager Using Machine Learning Techniques Z. Tan et al. 10.1109/TGRS.2021.3087714
- Algorithm for Detecting Ice Overlaying Water Multilayer Clouds Using the Infrared Bands of FY-4A/AGRI K. Wang et al. 10.1109/LGRS.2024.3372150
- A monthly 1° resolution dataset of daytime cloud fraction over the Arctic during 2000–2020 based on multiple satellite products X. Liu et al. 10.5194/essd-15-3641-2023
- Cloud-Base Height Retrieval from MODIS Satellite Data Based on Self-Organizing Neural Networks A. Skorokhodov et al. 10.1134/S1024856023060209
- 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. 10.1175/JAMC-D-21-0260.1
- Assessing Overlapping Cloud Top Heights: An Extrapolation Method and Its Performance Z. Tan et al. 10.1109/TGRS.2022.3170054
- Comparison of Cloud Properties between SGLI Aboard GCOM-C Satellite and MODIS Aboard Terra Satellite P. Khatri & T. Hayasaka 10.3390/rs15041075
- Retrieval of Ice‐Over‐Water Cloud Microphysical and Optical Properties Using Passive Radiometers S. Teng et al. 10.1029/2020GL088941
- An Assessment of Short-term Global and East Asian Local Climate Feedbacks using New Radiative Kernels F. Wang et al. 10.1007/s00382-022-06369-z
- Characterizing Vertical Stratification of the Cloud Thermodynamic Phase With a Combined Use of CALIPSO Lidar and MODIS SWIR Measurements T. Nagao & K. Suzuki 10.1029/2022JD036826
- Obtaining Cloud Base Height and Phase From Thermal Infrared Radiometry Using a Deep Learning Algorithm Q. Wang et al. 10.1109/TGRS.2023.3317532
- Cloud Detection and Classification Algorithms for Himawari-8 Imager Measurements Based on Deep Learning W. Li et al. 10.1109/TGRS.2022.3153129
- The CHROMA cloud-top pressure retrieval algorithm for the Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) satellite mission A. Sayer et al. 10.5194/amt-16-969-2023
- On the Scattering-Angle Dependence of the Spectral Consistency of Ice Cloud Optical Thickness Retrievals Based on Geostationary Satellite Observations D. Li et al. 10.1109/TGRS.2023.3331970
- Retrieving cloud base height from passive radiometer observations via a systematic effective cloud water content table Z. Tan et al. 10.1016/j.rse.2023.113633
- 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. 10.3390/rs13051042
- Retrieval of aerosol optical depth over the Arctic cryosphere during spring and summer using satellite observations B. Swain et al. 10.5194/amt-17-359-2024
- Uncertainty Assessment of the Vertically-Resolved Cloud Amount for Joint CloudSat–CALIPSO Radar–Lidar Observations A. Kotarba & M. Solecki 10.3390/rs13040807
- Estimating Layered Cloud Cover from Geostationary Satellite Radiometric Measurements: A Novel Method and Its Application Z. Tan et al. 10.3390/rs14225693
- VIIRS Edition 1 Cloud Properties for CERES, Part 2: Evaluation with CALIPSO C. Yost et al. 10.3390/rs15051349
- The NASA MODIS-VIIRS Continuity Cloud Optical Properties Products S. Platnick et al. 10.3390/rs13010002
- Comparison of MODIS- and CALIPSO-Derived Temporal Aerosol Optical Depth over Yellow River Basin (China) from 2007 to 2015 Z. Zhang et al. 10.1007/s41748-020-00181-7
- A machine-learning-based cloud detection and thermodynamic-phase classification algorithm using passive spectral observations C. Wang et al. 10.5194/amt-13-2257-2020
23 citations as recorded by crossref.
- Observing short-timescale cloud development to constrain aerosol–cloud interactions E. Gryspeerdt et al. 10.5194/acp-22-11727-2022
- Detecting Multilayer Clouds From the Geostationary Advanced Himawari Imager Using Machine Learning Techniques Z. Tan et al. 10.1109/TGRS.2021.3087714
- Algorithm for Detecting Ice Overlaying Water Multilayer Clouds Using the Infrared Bands of FY-4A/AGRI K. Wang et al. 10.1109/LGRS.2024.3372150
- A monthly 1° resolution dataset of daytime cloud fraction over the Arctic during 2000–2020 based on multiple satellite products X. Liu et al. 10.5194/essd-15-3641-2023
- Cloud-Base Height Retrieval from MODIS Satellite Data Based on Self-Organizing Neural Networks A. Skorokhodov et al. 10.1134/S1024856023060209
- 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. 10.1175/JAMC-D-21-0260.1
- Assessing Overlapping Cloud Top Heights: An Extrapolation Method and Its Performance Z. Tan et al. 10.1109/TGRS.2022.3170054
- Comparison of Cloud Properties between SGLI Aboard GCOM-C Satellite and MODIS Aboard Terra Satellite P. Khatri & T. Hayasaka 10.3390/rs15041075
- Retrieval of Ice‐Over‐Water Cloud Microphysical and Optical Properties Using Passive Radiometers S. Teng et al. 10.1029/2020GL088941
- An Assessment of Short-term Global and East Asian Local Climate Feedbacks using New Radiative Kernels F. Wang et al. 10.1007/s00382-022-06369-z
- Characterizing Vertical Stratification of the Cloud Thermodynamic Phase With a Combined Use of CALIPSO Lidar and MODIS SWIR Measurements T. Nagao & K. Suzuki 10.1029/2022JD036826
- Obtaining Cloud Base Height and Phase From Thermal Infrared Radiometry Using a Deep Learning Algorithm Q. Wang et al. 10.1109/TGRS.2023.3317532
- Cloud Detection and Classification Algorithms for Himawari-8 Imager Measurements Based on Deep Learning W. Li et al. 10.1109/TGRS.2022.3153129
- The CHROMA cloud-top pressure retrieval algorithm for the Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) satellite mission A. Sayer et al. 10.5194/amt-16-969-2023
- On the Scattering-Angle Dependence of the Spectral Consistency of Ice Cloud Optical Thickness Retrievals Based on Geostationary Satellite Observations D. Li et al. 10.1109/TGRS.2023.3331970
- Retrieving cloud base height from passive radiometer observations via a systematic effective cloud water content table Z. Tan et al. 10.1016/j.rse.2023.113633
- 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. 10.3390/rs13051042
- Retrieval of aerosol optical depth over the Arctic cryosphere during spring and summer using satellite observations B. Swain et al. 10.5194/amt-17-359-2024
- Uncertainty Assessment of the Vertically-Resolved Cloud Amount for Joint CloudSat–CALIPSO Radar–Lidar Observations A. Kotarba & M. Solecki 10.3390/rs13040807
- Estimating Layered Cloud Cover from Geostationary Satellite Radiometric Measurements: A Novel Method and Its Application Z. Tan et al. 10.3390/rs14225693
- VIIRS Edition 1 Cloud Properties for CERES, Part 2: Evaluation with CALIPSO C. Yost et al. 10.3390/rs15051349
- The NASA MODIS-VIIRS Continuity Cloud Optical Properties Products S. Platnick et al. 10.3390/rs13010002
- Comparison of MODIS- and CALIPSO-Derived Temporal Aerosol Optical Depth over Yellow River Basin (China) from 2007 to 2015 Z. Zhang et al. 10.1007/s41748-020-00181-7
Latest update: 19 Apr 2024
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...
