Articles | Volume 9, issue 4
https://doi.org/10.5194/amt-9-1587-2016
© Author(s) 2016. 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-9-1587-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
11 Apr 2016
Research article |
| 11 Apr 2016
MODIS Collection 6 shortwave-derived cloud phase classification algorithm and comparisons with CALIOP
Benjamin Marchant
CORRESPONDING AUTHOR
NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
USRA Universities Space Research Association, Columbia, Maryland, USA
Steven Platnick
NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
Kerry Meyer
NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
USRA Universities Space Research Association, Columbia, Maryland, USA
G. Thomas Arnold
NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
SSAI, Inc., 10210 Greenbelt Road, Lanham, MD 20706, USA
Jérôme Riedi
LOA (Laboratoire d'Optique Atmospherique), Université Lille 1, France
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Cited
78 citations as recorded by crossref.
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75 citations as recorded by crossref.
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- The correlation between Arctic sea ice, cloud phase and radiation using A-Train satellites G. Cesana et al. 10.5194/acp-24-7899-2024
- Supercooled Water Cloud Identification From Geostationary Satellite Thermal Infrared Observations and Its Application in the Sun Glint Region H. Fu et al. 10.1109/TGRS.2024.3458052
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- 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
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- A comparison of Aqua MODIS ice and liquid water cloud physical and optical properties between collection 6 and collection 5.1: Cloud radiative effects B. Yi et al. 10.1002/2016JD025654
- Observational Constraints on Southern Ocean Cloud-Phase Feedback C. Wall et al. 10.1175/JCLI-D-21-0812.1
- Assessment and Error Analysis of Terra‐MODIS and MISR Cloud‐Top Heights Through Comparison With ISS‐CATS Lidar A. Mitra et al. 10.1029/2020JD034281
- Leveraging spatial textures, through machine learning, to identify aerosols and distinct cloud types from multispectral observations W. Marais et al. 10.5194/amt-13-5459-2020
- Detecting the Phase of Marine Boundary Layer Clouds: Some Implications for Cloud Albedo N. Rampal & R. Davies 10.1029/2022JD037496
- The NASA MODIS-VIIRS Continuity Cloud Optical Properties Products S. Platnick et al. 10.3390/rs13010002
- A Comparison of Cloud Microphysical Properties Derived From MODIS and CALIPSO With In Situ Measurements Over the Wintertime Southern Ocean E. Ahn et al. 10.1029/2018JD028535
- Investigating the development of clouds within marine cold-air outbreaks R. Murray-Watson et al. 10.5194/acp-23-9365-2023
- On the Temperature Dependence of the Cloud Ice Particle Effective Radius—A Satellite Perspective M. Stengel et al. 10.1029/2022GL102521
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- Under What Conditions Can We Trust Retrieved Cloud Drop Concentrations in Broken Marine Stratocumulus? Y. Zhu et al. 10.1029/2017JD028083
- Multi-channel Imager Algorithm (MIA): A novel cloud-top phase classification algorithm J. Hu et al. 10.1016/j.atmosres.2021.105767
- Spatiotemporal Heterogeneity of Aerosol and Cloud Properties Over the Southeast Atlantic: An Observational Analysis I. Chang et al. 10.1029/2020GL091469
- Impact of Cloud Condensation Nuclei Reduction on Cloud Characteristics and Solar Radiation during COVID-19 Lockdown 2020 in Moscow J. Shuvalova et al. 10.3390/atmos13101710
- CERES MODIS Cloud Product Retrievals for Edition 4—Part II: Comparisons to CloudSat and CALIPSO C. Yost et al. 10.1109/TGRS.2020.3015155
- Detecting Multilayer Clouds From the Geostationary Advanced Himawari Imager Using Machine Learning Techniques Z. Tan et al. 10.1109/TGRS.2021.3087714
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- Wintertime In Situ Cloud Microphysical Properties of Mixed‐Phase Clouds Over the Southern Ocean Y. Huang et al. 10.1029/2021JD034832
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- Evaluation of the MODIS Collection 6 multilayer cloud detection algorithm through comparisons with CloudSat Cloud Profiling Radar and CALIPSO CALIOP products B. Marchant et al. 10.5194/amt-13-3263-2020
- Uncertainties in cloud phase and optical thickness retrievals from the Earth Polychromatic Imaging Camera (EPIC) K. Meyer et al. 10.5194/amt-9-1785-2016
- VIIRS Edition 1 Cloud Properties for CERES, Part 2: Evaluation with CALIPSO C. Yost et al. 10.3390/rs15051349
- An Uncertainty Data Set for Passive Microwave Satellite Observations of Warm Cloud Liquid Water Path T. Greenwald et al. 10.1002/2017JD027638
- The Role of Thermodynamic Phase Shifts in Cloud Optical Depth Variations With Temperature I. Tan et al. 10.1029/2018GL081590
- Broadband and filter radiometers at Ross Island, Antarctica: detection of cloud ice phase versus liquid water influences on shortwave and longwave radiation K. Scarci et al. 10.5194/acp-24-6681-2024
- From trees to rain: enhancement of cloud glaciation and precipitation by pollen J. Kretzschmar et al. 10.1088/1748-9326/ad747a
- What is the Role of Sea Surface Temperature in Modulating Cloud and Precipitation Properties over the Southern Ocean? Y. Huang et al. 10.1175/JCLI-D-15-0768.1
- Comparison of Cloud Properties from Himawari-8 and FengYun-4A Geostationary Satellite Radiometers with MODIS Cloud Retrievals R. Lai et al. 10.3390/rs11141703
- Effect of Aerosols, Tropospheric NO2 and Clouds on Surface Solar Radiation over the Eastern Mediterranean (Greece) G. Alexandri et al. 10.3390/rs13132587
- Empirical algorithm for detecting coccolithophore blooms through satellite observation in the Barents Sea S. He et al. 10.1016/j.rse.2021.112886
- Updated observations of clouds by MODIS for global model assessment R. Pincus et al. 10.5194/essd-15-2483-2023
- Investigation on the spatiotemporal and vertical structure of ice cloud and aerosol parameters from multi-source satellite datasets (2007–2021) over the Tarim Basin, China H. Pan et al. 10.1016/j.jastp.2024.106185
- Constraining Clouds and Convective Parameterizations in a Climate Model Using Paleoclimate Data R. Ramos et al. 10.1029/2021MS002893
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- Construction of Nighttime Cloud Layer Height and Classification of Cloud Types S. Chen et al. 10.3390/rs12040668
- Temperature‐Independent Cloud Phase Retrieval From Shortwave‐Infrared Measurement of GCOM‐C/SGLI With Comparison to CALIPSO T. Nagao & K. Suzuki 10.1029/2021EA001912
- Variability of bulk water vapor content in the marine cloudy boundary layers from microwave and near-infrared imagery L. Millán et al. 10.5194/acp-19-8491-2019
- Cloud phase characteristics over Southeast Asia from A-Train satellite observations Y. Hong & L. Di Girolamo 10.5194/acp-20-8267-2020
- Satellites See the World’s Atmosphere S. Ackerman et al. 10.1175/AMSMONOGRAPHS-D-18-0009.1
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- How well can brightness temperature differences of spaceborne imagers help to detect cloud phase? A sensitivity analysis regarding cloud phase and related cloud properties J. Mayer et al. 10.5194/amt-17-5161-2024
- Determining AHI Cloud-Top Phase and Intercomparisons With MODIS Products Over North Pacific X. Zhuge et al. 10.1109/TGRS.2020.2990955
- Differences in liquid cloud droplet effective radius and number concentration estimates between MODIS collections 5.1 and 6 over global oceans J. Rausch et al. 10.5194/amt-10-2105-2017
- Evaluation of AIRS Cloud Phase Classification over the Arctic Ocean against Combined CloudSat–CALIPSO Observations C. Peterson et al. 10.1175/JAMC-D-20-0016.1
- Tropopause Laminar Cirrus and Its Role in the Lower Stratosphere Total Water Budget T. Wang et al. 10.1029/2018JD029845
- Derivation of Shortwave Radiometric Adjustments for SNPP and NOAA-20 VIIRS for the NASA MODIS-VIIRS Continuity Cloud Products K. Meyer et al. 10.3390/rs12244096
- A comparison of Aqua MODIS ice and liquid water cloud physical and optical properties between collection 6 and collection 5.1: Pixel‐to‐pixel comparisons B. Yi et al. 10.1002/2016JD025586
- Long‐Term Observations of Upper‐Tropospheric Cloud Ice From the MLS T. Wang et al. 10.1029/2020JD034058
- Cloud Detection and Classification Algorithms for Himawari-8 Imager Measurements Based on Deep Learning W. Li et al. 10.1109/TGRS.2022.3153129
- Cloud Phase Classification Based on the Submillimeter and Microwave Radiometer Synergistic Observations P. Dong et al. 10.1109/LGRS.2024.3450872
- 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
- Comparison of the Novel Probabilistic Self-Optimizing Vectorized Earth Observation Retrieval Classifier with Common Machine Learning Algorithms J. Musial & J. Bojanowski 10.3390/rs14020378
- Diurnal spatial distributions of aerosol optical and cloud micro-macrophysics properties in Africa based on MODIS observations D. Ntwali & H. Chen 10.1016/j.atmosenv.2018.03.054
- The Impact of PM2.5 on the Growth Curves of Children's Obesity Indexes: A Prospective Cohort Study J. Tong et al. 10.3389/fpubh.2022.843622
- Evaluation of aerosol and cloud properties in three climate models using MODIS observations and its corresponding COSP simulator, as well as their application in aerosol–cloud interactions G. Saponaro et al. 10.5194/acp-20-1607-2020
- A Machine Learning-Based Multiple Cloud Vertical Structure Parameter Prediction Algorithm Only Using OCO-2 Oxygen A-Band Measurements Y. Lei et al. 10.3390/rs15123142
- Identification of Supercooled Cloud Water by FY-4A Satellite and Validation by CALIPSO and Airborne Detection X. Xu et al. 10.3390/rs15010126
- Obtaining Cloud Base Height and Phase From Thermal Infrared Radiometry Using a Deep Learning Algorithm Q. Wang et al. 10.1109/TGRS.2023.3317532
- Retrieval of radiative and microphysical properties of clouds from multispectral infrared measurements H. Iwabuchi et al. 10.1186/s40645-016-0108-3
- Relations between marine biogeochemical indices and cloud properties over the Arabian Sea V. Rao et al. 10.1007/s12040-021-01638-7
3 citations as recorded by crossref.
- Retrieval of ice cloud properties using an optimal estimation algorithm and MODIS infrared observations: 2. Retrieval evaluation C. Wang et al. 10.1002/2015JD024528
- The MODIS Cloud Optical and Microphysical Products: Collection 6 Updates and Examples From Terra and Aqua S. Platnick et al. 10.1109/TGRS.2016.2610522
- Shortwave direct radiative effects of above-cloud aerosols over global oceans derived from 8 years of CALIOP and MODIS observations Z. Zhang et al. 10.5194/acp-16-2877-2016
Saved (final revised paper)
Latest update: 21 Nov 2024
Short summary
The current paper presents the new MODIS Collection 6 (C6) cloud thermodynamic phase classification algorithm. To evaluate the performance of the C6 cloud phase algorithm, extensive granule-level and global comparisons have been conducted against the heritage C5 algorithm and CALIOP. A wholesale improvement is seen for C6 compared to C5.
The current paper presents the new MODIS Collection 6 (C6) cloud thermodynamic phase...
