Articles | Volume 16, issue 8
https://doi.org/10.5194/acp-16-5075-2016
© 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/acp-16-5075-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
25 Apr 2016
Research article |
| 25 Apr 2016
Resolving ice cloud optical thickness biases between CALIOP and MODIS using infrared retrievals
Robert E. Holz
CORRESPONDING AUTHOR
University of Wisconsin-Madison Space Science and Engineering Cent, Madison, WI, USA
Steven Platnick
NASA Goddard, Greenbelt, MD, USA
Kerry Meyer
GESTAR/USRA, Greenbelt, MD, USA
Mark Vaughan
NASA Langley, Langley, VA, USA
Andrew Heidinger
NOAA, Madison, WI, USA
Ping Yang
Texas A&M University, College Station, TX, USA
Gala Wind
SSAI, Greenbelt, MD, USA
Steven Dutcher
University of Wisconsin-Madison Space Science and Engineering Cent, Madison, WI, USA
Steven Ackerman
University of Wisconsin-Madison Space Science and Engineering Cent, Madison, WI, USA
Nandana Amarasinghe
SSAI, Greenbelt, MD, USA
Fredrick Nagle
University of Wisconsin-Madison Space Science and Engineering Cent, Madison, WI, USA
Chenxi Wang
University of Maryland, College Park, MD, USA
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Cited
65 citations as recorded by crossref.
- Fusion of MISR Stereo Cloud Heights and Terra‐MODIS Thermal Infrared Radiances to Estimate Two‐Layered Cloud Properties A. Mitra et al. https://doi.org/10.1029/2022JD038135
- On the Consistency of Ice Cloud Optical Models for Spaceborne Remote Sensing Applications and Broadband Radiative Transfer Simulations T. Ren et al. https://doi.org/10.1029/2023JD038747
- Ice crystal characterization in cirrus clouds III: retrieval of ice crystal shape and roughness from observations of halo displays L. Forster & B. Mayer https://doi.org/10.5194/acp-22-15179-2022
- Ice particle morphology and microphysical properties of cirrus clouds inferred from combined CALIOP‐IIR measurements M. Saito et al. https://doi.org/10.1002/2016JD026080
- Satellites See the World’s Atmosphere S. Ackerman et al. https://doi.org/10.1175/AMSMONOGRAPHS-D-18-0009.1
- Differences in Ice Cloud Optical Depth From CALIPSO and Ground‐Based Raman Lidar at the ARM SGP and TWP Sites K. Balmes et al. https://doi.org/10.1029/2018JD028321
- Assessing the accuracy and efficiency of longwave radiative transfer models involving scattering effect with cloud optical property parameterizations C. Kuo et al. https://doi.org/10.1016/j.jqsrt.2019.106683
- A high-level cloud detection method utilizing the GOSAT TANSO-FTS water vapor saturated band N. Eguchi & Y. Yoshida https://doi.org/10.5194/amt-12-389-2019
- Estimating surface solar irradiance from satellites: Past, present, and future perspectives G. Huang et al. https://doi.org/10.1016/j.rse.2019.111371
- A Classification of Ice Crystal Habits Using Combined Lidar and Scanning Polarimeter Observations during the SEAC4RS Campaign N. Midzak et al. https://doi.org/10.1175/JTECH-D-20-0037.1
- Improved ice particle optical property simulations in the ultraviolet to far-infrared regime L. Bi & P. Yang https://doi.org/10.1016/j.jqsrt.2016.12.007
- Retrieval of ice cloud properties using an optimal estimation algorithm and MODIS infrared observations: 1. Forward model, error analysis, and information content C. Wang et al. https://doi.org/10.1002/2015JD024526
- CERES MODIS Cloud Product Retrievals for Edition 4—Part II: Comparisons to CloudSat and CALIPSO C. Yost et al. https://doi.org/10.1109/TGRS.2020.3015155
- Investigation of ice particle habits to be used for ice cloud remote sensing for the GCOM-C satellite mission H. Letu et al. https://doi.org/10.5194/acp-16-12287-2016
- Effects and Applications of Satellite Radiometer 2.25-<inline-formula> <tex-math notation="LaTeX">$\mu$ </tex-math> </inline-formula>m Channel on Cloud Property Retrievals J. Wang et al. https://doi.org/10.1109/TGRS.2018.2812082
- A global record of single-layered ice cloud properties and associated radiative heating rate profiles from an A-Train perspective E. Dolinar et al. https://doi.org/10.1007/s00382-019-04682-8
- Impact of Multiple Scattering on Longwave Radiative Transfer Involving Clouds C. Kuo et al. https://doi.org/10.1002/2017MS001117
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- Arctic Cloud‐Base Ice Precipitation Properties Retrieved Using Bayesian Inference I. Silber https://doi.org/10.1029/2022JD038202
- Total column optical depths retrieved from CALIPSO lidar ocean surface backscatter R. Ryan et al. https://doi.org/10.5194/amt-17-6517-2024
- Probability Distribution for the Visually Observed Fractional Cloud Cover over the Ocean M. Aleksandrova et al. https://doi.org/10.1175/JCLI-D-17-0317.1
- Version 4 CALIPSO Imaging Infrared Radiometer ice and liquid water cloud microphysical properties – Part I: The retrieval algorithms A. Garnier et al. https://doi.org/10.5194/amt-14-3253-2021
- 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. https://doi.org/10.1002/2016JD025586
- Version 4 CALIPSO Imaging Infrared Radiometer ice and liquid water cloud microphysical properties – Part II: Results over oceans A. Garnier et al. https://doi.org/10.5194/amt-14-3277-2021
- Novel Parameterization of Ice Cloud Effective Diameter from Collocated CALIOP-IIR and CloudSat Retrievals E. Dolinar et al. https://doi.org/10.1175/JAMC-D-21-0163.1
- A multispectral method for retrieving overlapping cloud top heights from passive radiometers S. Teng et al. https://doi.org/10.1016/j.rse.2022.113425
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- The retrieval of ice cloud parameters from multi-spectral satellite observations of reflectance using a modified XBAER algorithm L. Mei et al. https://doi.org/10.1016/j.rse.2018.06.007
- Iterative method for determining boundaries and lidar ratio of permeable layer of a space lidar F. Mao et al. https://doi.org/10.1016/j.jqsrt.2018.07.007
- Degree of ice particle surface roughness inferred from polarimetric observations S. Hioki et al. https://doi.org/10.5194/acp-16-7545-2016
- Cirrus cloud retrieval with MSG/SEVIRI using artificial neural networks J. Strandgren et al. https://doi.org/10.5194/amt-10-3547-2017
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- Correlations of oriented ice and precipitation in marine midlatitude low clouds using collocated CloudSat, CALIOP, and MODIS observations A. Ross et al. https://doi.org/10.1002/2016JD026407
- Properties of Cirrus Clouds over the European Arctic (Ny-Ålesund, Svalbard) K. Nakoudi et al. https://doi.org/10.3390/rs13224555
- Sensitivity of cirrus and contrail radiative effect on cloud microphysical and environmental parameters K. Wolf et al. https://doi.org/10.5194/acp-23-14003-2023
- A Review of Ice Cloud Optical Property Models for Passive Satellite Remote Sensing P. Yang et al. https://doi.org/10.3390/atmos9120499
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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. https://doi.org/10.1002/2016JD025654
- Effects of ice crystal surface roughness and air bubble inclusions on cirrus cloud radiative properties from remote sensing perspective G. Tang et al. https://doi.org/10.1016/j.jqsrt.2017.01.016
- High Pollution Loadings Influence the Reliability of Himawari-8 Cloud-Mask in Comparison with Space-Based Lidar and Surface Observations W. Wang et al. https://doi.org/10.1155/2022/2492567
- Added value of far‐infrared radiometry for remote sensing of ice clouds Q. Libois & J. Blanchet https://doi.org/10.1002/2016JD026423
- Improvement of MODIS cloud mask over severe polluted eastern China X. Zhang et al. https://doi.org/10.1016/j.scitotenv.2018.10.369
- Derivation of physical and optical properties of mid-latitude cirrus ice crystals for a size-resolved cloud microphysics model A. Fridlind et al. https://doi.org/10.5194/acp-16-7251-2016
- Extinction and optical depth retrievals for CALIPSO's Version 4 data release S. Young et al. https://doi.org/10.5194/amt-11-5701-2018
- A new approach to crystal habit retrieval from far-infrared spectral radiance measurements G. Di Natale et al. https://doi.org/10.5194/amt-17-3171-2024
- Southern Ocean cloud and shortwave radiation biases in a nudged climate model simulation: does the model ever get it right? S. Fiddes et al. https://doi.org/10.5194/acp-22-14603-2022
- The Impact of Two Coupled Cirrus Microphysics–Radiation Parameterizations on the Temperature and Specific Humidity Biases in the Tropical Tropopause Layer in a Climate Model A. Baran et al. https://doi.org/10.1175/JCLI-D-15-0821.1
- Comparing airborne and satellite retrievals of cloud optical thickness and particle effective radius using a spectral radiance ratio technique: two case studies for cirrus and deep convective clouds T. Krisna et al. https://doi.org/10.5194/acp-18-4439-2018
- Retrieval of Ice‐Over‐Water Cloud Microphysical and Optical Properties Using Passive Radiometers S. Teng et al. https://doi.org/10.1029/2020GL088941
- Validation of quasi-invariant ice cloud radiative quantities with MODIS satellite-based cloud property retrievals J. Ding et al. https://doi.org/10.1016/j.jqsrt.2017.03.025
- A Flexible Parameterization for Shortwave and Longwave Optical Properties of Ice Crystals and Derived Bulk Optical Properties for Climate Models B. van Diedenhoven & B. Cairns https://doi.org/10.1175/JAS-D-19-0193.1
- Examining impacts of mass‐diameter (m‐D) and area‐diameter (A‐D) relationships of ice particles on retrievals of effective radius and ice water content from radar and lidar measurements S. Ham et al. https://doi.org/10.1002/2016JD025672
- Scale dependence of cirrus horizontal heterogeneity effects on TOA measurements – Part I: MODIS brightness temperatures in the thermal infrared T. Fauchez et al. https://doi.org/10.5194/acp-17-8489-2017
- Exploring Aerosols Near Clouds With High‐Spatial‐Resolution Aircraft Remote Sensing During SEAC4RS R. Spencer et al. https://doi.org/10.1029/2018JD028989
- CERES MODIS Cloud Product Retrievals for Edition 4—Part I: Algorithm Changes P. Minnis et al. https://doi.org/10.1109/TGRS.2020.3008866
- Assessing Uncertainties and Approximations in Solar Heating of the Climate System J. Hsu & M. Prather https://doi.org/10.1029/2020MS002131
- Technical note: Retrieval of the supercooled liquid fraction in mixed-phase clouds from Himawari-8 observations Z. Wang et al. https://doi.org/10.5194/acp-24-7559-2024
- Inference of an Optimal Ice Particle Model through Latitudinal Analysis of MISR and MODIS Data Y. Wang et al. https://doi.org/10.3390/rs10121981
- Observational constraints from global ice-phase fraction indicate moderate climate sensitivity R. Zhou et al. https://doi.org/10.1126/sciadv.aea0731
- Effect of Snow Grain Shape on Snow Albedo C. Dang et al. https://doi.org/10.1175/JAS-D-15-0276.1
- MODIS Cloud Detection Evaluation Using CALIOP over Polluted Eastern China S. Tan et al. https://doi.org/10.3390/atmos10060333
65 citations as recorded by crossref.
- Fusion of MISR Stereo Cloud Heights and Terra‐MODIS Thermal Infrared Radiances to Estimate Two‐Layered Cloud Properties A. Mitra et al. https://doi.org/10.1029/2022JD038135
- On the Consistency of Ice Cloud Optical Models for Spaceborne Remote Sensing Applications and Broadband Radiative Transfer Simulations T. Ren et al. https://doi.org/10.1029/2023JD038747
- Ice crystal characterization in cirrus clouds III: retrieval of ice crystal shape and roughness from observations of halo displays L. Forster & B. Mayer https://doi.org/10.5194/acp-22-15179-2022
- Ice particle morphology and microphysical properties of cirrus clouds inferred from combined CALIOP‐IIR measurements M. Saito et al. https://doi.org/10.1002/2016JD026080
- Satellites See the World’s Atmosphere S. Ackerman et al. https://doi.org/10.1175/AMSMONOGRAPHS-D-18-0009.1
- Differences in Ice Cloud Optical Depth From CALIPSO and Ground‐Based Raman Lidar at the ARM SGP and TWP Sites K. Balmes et al. https://doi.org/10.1029/2018JD028321
- Assessing the accuracy and efficiency of longwave radiative transfer models involving scattering effect with cloud optical property parameterizations C. Kuo et al. https://doi.org/10.1016/j.jqsrt.2019.106683
- A high-level cloud detection method utilizing the GOSAT TANSO-FTS water vapor saturated band N. Eguchi & Y. Yoshida https://doi.org/10.5194/amt-12-389-2019
- Estimating surface solar irradiance from satellites: Past, present, and future perspectives G. Huang et al. https://doi.org/10.1016/j.rse.2019.111371
- A Classification of Ice Crystal Habits Using Combined Lidar and Scanning Polarimeter Observations during the SEAC4RS Campaign N. Midzak et al. https://doi.org/10.1175/JTECH-D-20-0037.1
- Improved ice particle optical property simulations in the ultraviolet to far-infrared regime L. Bi & P. Yang https://doi.org/10.1016/j.jqsrt.2016.12.007
- Retrieval of ice cloud properties using an optimal estimation algorithm and MODIS infrared observations: 1. Forward model, error analysis, and information content C. Wang et al. https://doi.org/10.1002/2015JD024526
- CERES MODIS Cloud Product Retrievals for Edition 4—Part II: Comparisons to CloudSat and CALIPSO C. Yost et al. https://doi.org/10.1109/TGRS.2020.3015155
- Investigation of ice particle habits to be used for ice cloud remote sensing for the GCOM-C satellite mission H. Letu et al. https://doi.org/10.5194/acp-16-12287-2016
- Effects and Applications of Satellite Radiometer 2.25-<inline-formula> <tex-math notation="LaTeX">$\mu$ </tex-math> </inline-formula>m Channel on Cloud Property Retrievals J. Wang et al. https://doi.org/10.1109/TGRS.2018.2812082
- A global record of single-layered ice cloud properties and associated radiative heating rate profiles from an A-Train perspective E. Dolinar et al. https://doi.org/10.1007/s00382-019-04682-8
- Impact of Multiple Scattering on Longwave Radiative Transfer Involving Clouds C. Kuo et al. https://doi.org/10.1002/2017MS001117
- Remote-sensing detectability of airborne Arctic dust N. O'Neill et al. https://doi.org/10.5194/acp-25-27-2025
- Why we need radar, lidar, and solar radiance observations to constrain ice cloud microphysics F. Ewald et al. https://doi.org/10.5194/amt-14-5029-2021
- The impact of aerosol on MODIS cloud detection and property retrieval in seriously polluted East China X. Zhang et al. https://doi.org/10.1016/j.scitotenv.2019.134634
- Arctic Cloud‐Base Ice Precipitation Properties Retrieved Using Bayesian Inference I. Silber https://doi.org/10.1029/2022JD038202
- Total column optical depths retrieved from CALIPSO lidar ocean surface backscatter R. Ryan et al. https://doi.org/10.5194/amt-17-6517-2024
- Probability Distribution for the Visually Observed Fractional Cloud Cover over the Ocean M. Aleksandrova et al. https://doi.org/10.1175/JCLI-D-17-0317.1
- Version 4 CALIPSO Imaging Infrared Radiometer ice and liquid water cloud microphysical properties – Part I: The retrieval algorithms A. Garnier et al. https://doi.org/10.5194/amt-14-3253-2021
- 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. https://doi.org/10.1002/2016JD025586
- Version 4 CALIPSO Imaging Infrared Radiometer ice and liquid water cloud microphysical properties – Part II: Results over oceans A. Garnier et al. https://doi.org/10.5194/amt-14-3277-2021
- Novel Parameterization of Ice Cloud Effective Diameter from Collocated CALIOP-IIR and CloudSat Retrievals E. Dolinar et al. https://doi.org/10.1175/JAMC-D-21-0163.1
- A multispectral method for retrieving overlapping cloud top heights from passive radiometers S. Teng et al. https://doi.org/10.1016/j.rse.2022.113425
- Retrieval of liquid water cloud properties from POLDER-3 measurements using a neural network ensemble approach A. Di Noia et al. https://doi.org/10.5194/amt-12-1697-2019
- The retrieval of ice cloud parameters from multi-spectral satellite observations of reflectance using a modified XBAER algorithm L. Mei et al. https://doi.org/10.1016/j.rse.2018.06.007
- Iterative method for determining boundaries and lidar ratio of permeable layer of a space lidar F. Mao et al. https://doi.org/10.1016/j.jqsrt.2018.07.007
- Degree of ice particle surface roughness inferred from polarimetric observations S. Hioki et al. https://doi.org/10.5194/acp-16-7545-2016
- Cirrus cloud retrieval with MSG/SEVIRI using artificial neural networks J. Strandgren et al. https://doi.org/10.5194/amt-10-3547-2017
- Biases in estimated vegetation indices from observations under cloudy conditions K. Wolf et al. https://doi.org/10.5194/bg-22-7797-2025
- The Earth Model Column Collaboratory (EMC2) v1.1: an open-source ground-based lidar and radar instrument simulator and subcolumn generator for large-scale models I. Silber et al. https://doi.org/10.5194/gmd-15-901-2022
- Correlations of oriented ice and precipitation in marine midlatitude low clouds using collocated CloudSat, CALIOP, and MODIS observations A. Ross et al. https://doi.org/10.1002/2016JD026407
- Properties of Cirrus Clouds over the European Arctic (Ny-Ålesund, Svalbard) K. Nakoudi et al. https://doi.org/10.3390/rs13224555
- Sensitivity of cirrus and contrail radiative effect on cloud microphysical and environmental parameters K. Wolf et al. https://doi.org/10.5194/acp-23-14003-2023
- A Review of Ice Cloud Optical Property Models for Passive Satellite Remote Sensing P. Yang et al. https://doi.org/10.3390/atmos9120499
- Cloud products from the Earth Polychromatic Imaging Camera (EPIC): algorithms and initial evaluation Y. Yang et al. https://doi.org/10.5194/amt-12-2019-2019
- New Optical Properties of Ice Crystals for Multiclass Cloud Microphysics S. Baek & S. Bae https://doi.org/10.1029/2018MS001398
- 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. https://doi.org/10.1002/2016JD025654
- Effects of ice crystal surface roughness and air bubble inclusions on cirrus cloud radiative properties from remote sensing perspective G. Tang et al. https://doi.org/10.1016/j.jqsrt.2017.01.016
- High Pollution Loadings Influence the Reliability of Himawari-8 Cloud-Mask in Comparison with Space-Based Lidar and Surface Observations W. Wang et al. https://doi.org/10.1155/2022/2492567
- Added value of far‐infrared radiometry for remote sensing of ice clouds Q. Libois & J. Blanchet https://doi.org/10.1002/2016JD026423
- Improvement of MODIS cloud mask over severe polluted eastern China X. Zhang et al. https://doi.org/10.1016/j.scitotenv.2018.10.369
- Derivation of physical and optical properties of mid-latitude cirrus ice crystals for a size-resolved cloud microphysics model A. Fridlind et al. https://doi.org/10.5194/acp-16-7251-2016
- Extinction and optical depth retrievals for CALIPSO's Version 4 data release S. Young et al. https://doi.org/10.5194/amt-11-5701-2018
- A new approach to crystal habit retrieval from far-infrared spectral radiance measurements G. Di Natale et al. https://doi.org/10.5194/amt-17-3171-2024
- Southern Ocean cloud and shortwave radiation biases in a nudged climate model simulation: does the model ever get it right? S. Fiddes et al. https://doi.org/10.5194/acp-22-14603-2022
- The Impact of Two Coupled Cirrus Microphysics–Radiation Parameterizations on the Temperature and Specific Humidity Biases in the Tropical Tropopause Layer in a Climate Model A. Baran et al. https://doi.org/10.1175/JCLI-D-15-0821.1
- Comparing airborne and satellite retrievals of cloud optical thickness and particle effective radius using a spectral radiance ratio technique: two case studies for cirrus and deep convective clouds T. Krisna et al. https://doi.org/10.5194/acp-18-4439-2018
- Retrieval of Ice‐Over‐Water Cloud Microphysical and Optical Properties Using Passive Radiometers S. Teng et al. https://doi.org/10.1029/2020GL088941
- Validation of quasi-invariant ice cloud radiative quantities with MODIS satellite-based cloud property retrievals J. Ding et al. https://doi.org/10.1016/j.jqsrt.2017.03.025
- A Flexible Parameterization for Shortwave and Longwave Optical Properties of Ice Crystals and Derived Bulk Optical Properties for Climate Models B. van Diedenhoven & B. Cairns https://doi.org/10.1175/JAS-D-19-0193.1
- Examining impacts of mass‐diameter (m‐D) and area‐diameter (A‐D) relationships of ice particles on retrievals of effective radius and ice water content from radar and lidar measurements S. Ham et al. https://doi.org/10.1002/2016JD025672
- Scale dependence of cirrus horizontal heterogeneity effects on TOA measurements – Part I: MODIS brightness temperatures in the thermal infrared T. Fauchez et al. https://doi.org/10.5194/acp-17-8489-2017
- Exploring Aerosols Near Clouds With High‐Spatial‐Resolution Aircraft Remote Sensing During SEAC4RS R. Spencer et al. https://doi.org/10.1029/2018JD028989
- CERES MODIS Cloud Product Retrievals for Edition 4—Part I: Algorithm Changes P. Minnis et al. https://doi.org/10.1109/TGRS.2020.3008866
- Assessing Uncertainties and Approximations in Solar Heating of the Climate System J. Hsu & M. Prather https://doi.org/10.1029/2020MS002131
- Technical note: Retrieval of the supercooled liquid fraction in mixed-phase clouds from Himawari-8 observations Z. Wang et al. https://doi.org/10.5194/acp-24-7559-2024
- Inference of an Optimal Ice Particle Model through Latitudinal Analysis of MISR and MODIS Data Y. Wang et al. https://doi.org/10.3390/rs10121981
- Observational constraints from global ice-phase fraction indicate moderate climate sensitivity R. Zhou et al. https://doi.org/10.1126/sciadv.aea0731
- Effect of Snow Grain Shape on Snow Albedo C. Dang et al. https://doi.org/10.1175/JAS-D-15-0276.1
- MODIS Cloud Detection Evaluation Using CALIOP over Polluted Eastern China S. Tan et al. https://doi.org/10.3390/atmos10060333
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