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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- Retrieval of ice cloud properties using an optimal estimation algorithm and MODIS infrared observations: 2. Retrieval evaluation C. Wang et al. 10.1002/2015JD024528
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62 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. 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. 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 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. 10.1002/2016JD026080
- Satellites See the World’s Atmosphere S. Ackerman et al. 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. 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. 10.1016/j.jqsrt.2019.106683
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- A Classification of Ice Crystal Habits Using Combined Lidar and Scanning Polarimeter Observations during the SEAC4RS Campaign N. Midzak et al. 10.1175/JTECH-D-20-0037.1
- Improved ice particle optical property simulations in the ultraviolet to far-infrared regime L. Bi & P. Yang 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. 10.1002/2015JD024526
- CERES MODIS Cloud Product Retrievals for Edition 4—Part II: Comparisons to CloudSat and CALIPSO C. Yost et al. 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. 10.5194/acp-16-12287-2016
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- A global record of single-layered ice cloud properties and associated radiative heating rate profiles from an A-Train perspective E. Dolinar et al. 10.1007/s00382-019-04682-8
- Impact of Multiple Scattering on Longwave Radiative Transfer Involving Clouds C. Kuo et al. 10.1002/2017MS001117
- Why we need radar, lidar, and solar radiance observations to constrain ice cloud microphysics F. Ewald et al. 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. 10.1016/j.scitotenv.2019.134634
- Arctic Cloud‐Base Ice Precipitation Properties Retrieved Using Bayesian Inference I. Silber 10.1029/2022JD038202
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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. 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. 10.1016/j.jqsrt.2018.07.007
- Degree of ice particle surface roughness inferred from polarimetric observations S. Hioki et al. 10.5194/acp-16-7545-2016
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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
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- High Pollution Loadings Influence the Reliability of Himawari-8 Cloud-Mask in Comparison with Space-Based Lidar and Surface Observations W. Wang et al. 10.1155/2022/2492567
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- 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 10.1175/JAS-D-19-0193.1
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8 citations as recorded by crossref.
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- Retrieval of ice cloud properties using an optimal estimation algorithm and MODIS infrared observations: 2. Retrieval evaluation C. Wang et al. 10.1002/2015JD024528
- 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
- Ice cloud backscatter study and comparison with CALIPSO and MODIS satellite data J. Ding et al. 10.1364/OE.24.000620
- 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
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- Seasonal and annual segregation of liquid water and ice clouds in Iran and their relation to geographic components and precipitation M. Ahmadi et al. 10.1007/s00704-020-03131-5
- Simulation of the brightness temperatures observed by the visible infrared imaging radiometer suite instrument 10.1117/1.JRS.12.016032
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