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Title: Version 4 CALIPSO Imaging Infrared Radiometer ice and liquid water cloud microphysical properties – Part I: The retrieval algorithms

Abstract

Following the release of the version 4 Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) data products from the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) mission, a new version (version 4; V4) of the CALIPSO Imaging Infrared Radiometer (IIR) Level 2 data products has been developed. The IIR Level 2 data products include cloud effective emissivities and cloud microphysical properties such as effective diameter and ice or liquid water path estimates. Dedicated retrievals for water clouds were added in V4, taking advantage of the high sensitivity of the IIR retrieval technique to small particle sizes. This paper (Part I) describes the improvements in the V4 algorithms compared to those used in the version 3 (V3) release, while results will be presented in a companion (Part II) paper. The IIR Level 2 algorithm has been modified in the V4 data release to improve the accuracy of the retrievals in clouds of very small (close to 0) and very large (close to 1) effective emissivities. To reduce biases at very small emissivities that were made evident in V3, the radiative transfer model used to compute clear-sky brightness temperatures over oceans has been updated and tuned for the simulations using Modern-Era Retrospective analysismore » for Research and Applications version 2 (MERRA-2) data to match IIR observations in clear-sky conditions. Furthermore, the clear-sky mask has been refined compared to V3 by taking advantage of additional information now available in the V4 CALIOP 5 km layer products used as an input to the IIR algorithm. After sea surface emissivity adjustments, observed and computed brightness temperatures differ by less than ±0.2 K at night for the three IIR channels centered at 08.65, 10.6, and 12.05 µm, and inter-channel biases are reduced from several tens of Kelvin in V3 to less than 0.1 K in V4. We have also improved retrievals in ice clouds having large emissivity by refining the determination of the radiative temperature needed for emissivity computation. The initial V3 estimate, namely the cloud centroid temperature derived from CALIOP, is corrected using a parameterized function of temperature difference between cloud base and top altitudes, cloud absorption optical depth, and CALIOP multiple scattering correction factor. As shown in Part II, this improvement reduces the low biases at large optical depths that were seen in V3 and increases the number of retrievals. As in V3, the IIR microphysical retrievals use the concept of microphysical indices applied to the pairs of IIR channels at 12.05 and 10.6 µm and at 12.05 and 08.65 µm. The V4 algorithm uses ice look-up tables (LUTs) built using two ice habit models from the recent “TAMUice2016” database, namely the single-hexagonal-column model and the eight-element column aggregate model, from which bulk properties are synthesized using a gamma size distribution. Four sets of effective diameters derived from a second approach are also reported in V4. Here, the LUTs are analytical functions relating microphysical index applied to IIR channels 12.05 and 10.6 µm and effective diameter as derived from in situ measurements at tropical and midlatitudes during the Tropical Composition, Cloud, and Climate Coupling (TC4) and Small Particles in Cirrus Science and Operations Plan (SPARTICUS) field experiments.« less

Authors:
 [1];  [2];  [3]; ORCiD logo [4];  [5];  [6]; ORCiD logo [7]
  1. Science Systems and Applications, Inc., Hampton, VA (United States)
  2. Sorbonne Univ., Paris (France)
  3. AERIS/ICARE Data and Services Center, Villeneuve-d'Ascq (France)
  4. NASA Langley Research Center, Hampton, VA (United States)
  5. Univ. Lille (France)
  6. Texas A & M Univ., College Station, TX (United States)
  7. Desert Research Inst., Reno, NV (United States)
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Atmospheric Radiation Measurement (ARM) Data Center
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
OSTI Identifier:
1786320
Grant/Contract Number:  
AC05-76RL01830
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Atmospheric Measurement Techniques (Online)
Additional Journal Information:
Journal Volume: 14; Journal Issue: 5; Journal ID: ISSN 1867-8548
Publisher:
Copernicus Publications, EGU
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES

Citation Formats

Garnier, Anne, Pelon, Jacques, Pascal, Nicolas, Vaughan, Mark A., Dubuisson, Philippe, Yang, Ping, and Mitchell, David L. Version 4 CALIPSO Imaging Infrared Radiometer ice and liquid water cloud microphysical properties – Part I: The retrieval algorithms. United States: N. p., 2021. Web. doi:10.5194/amt-14-3253-2021.
Garnier, Anne, Pelon, Jacques, Pascal, Nicolas, Vaughan, Mark A., Dubuisson, Philippe, Yang, Ping, & Mitchell, David L. Version 4 CALIPSO Imaging Infrared Radiometer ice and liquid water cloud microphysical properties – Part I: The retrieval algorithms. United States. https://doi.org/10.5194/amt-14-3253-2021
Garnier, Anne, Pelon, Jacques, Pascal, Nicolas, Vaughan, Mark A., Dubuisson, Philippe, Yang, Ping, and Mitchell, David L. 2021. "Version 4 CALIPSO Imaging Infrared Radiometer ice and liquid water cloud microphysical properties – Part I: The retrieval algorithms". United States. https://doi.org/10.5194/amt-14-3253-2021. https://www.osti.gov/servlets/purl/1786320.
@article{osti_1786320,
title = {Version 4 CALIPSO Imaging Infrared Radiometer ice and liquid water cloud microphysical properties – Part I: The retrieval algorithms},
author = {Garnier, Anne and Pelon, Jacques and Pascal, Nicolas and Vaughan, Mark A. and Dubuisson, Philippe and Yang, Ping and Mitchell, David L.},
abstractNote = {Following the release of the version 4 Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) data products from the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) mission, a new version (version 4; V4) of the CALIPSO Imaging Infrared Radiometer (IIR) Level 2 data products has been developed. The IIR Level 2 data products include cloud effective emissivities and cloud microphysical properties such as effective diameter and ice or liquid water path estimates. Dedicated retrievals for water clouds were added in V4, taking advantage of the high sensitivity of the IIR retrieval technique to small particle sizes. This paper (Part I) describes the improvements in the V4 algorithms compared to those used in the version 3 (V3) release, while results will be presented in a companion (Part II) paper. The IIR Level 2 algorithm has been modified in the V4 data release to improve the accuracy of the retrievals in clouds of very small (close to 0) and very large (close to 1) effective emissivities. To reduce biases at very small emissivities that were made evident in V3, the radiative transfer model used to compute clear-sky brightness temperatures over oceans has been updated and tuned for the simulations using Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2) data to match IIR observations in clear-sky conditions. Furthermore, the clear-sky mask has been refined compared to V3 by taking advantage of additional information now available in the V4 CALIOP 5 km layer products used as an input to the IIR algorithm. After sea surface emissivity adjustments, observed and computed brightness temperatures differ by less than ±0.2 K at night for the three IIR channels centered at 08.65, 10.6, and 12.05 µm, and inter-channel biases are reduced from several tens of Kelvin in V3 to less than 0.1 K in V4. We have also improved retrievals in ice clouds having large emissivity by refining the determination of the radiative temperature needed for emissivity computation. The initial V3 estimate, namely the cloud centroid temperature derived from CALIOP, is corrected using a parameterized function of temperature difference between cloud base and top altitudes, cloud absorption optical depth, and CALIOP multiple scattering correction factor. As shown in Part II, this improvement reduces the low biases at large optical depths that were seen in V3 and increases the number of retrievals. As in V3, the IIR microphysical retrievals use the concept of microphysical indices applied to the pairs of IIR channels at 12.05 and 10.6 µm and at 12.05 and 08.65 µm. The V4 algorithm uses ice look-up tables (LUTs) built using two ice habit models from the recent “TAMUice2016” database, namely the single-hexagonal-column model and the eight-element column aggregate model, from which bulk properties are synthesized using a gamma size distribution. Four sets of effective diameters derived from a second approach are also reported in V4. Here, the LUTs are analytical functions relating microphysical index applied to IIR channels 12.05 and 10.6 µm and effective diameter as derived from in situ measurements at tropical and midlatitudes during the Tropical Composition, Cloud, and Climate Coupling (TC4) and Small Particles in Cirrus Science and Operations Plan (SPARTICUS) field experiments.},
doi = {10.5194/amt-14-3253-2021},
url = {https://www.osti.gov/biblio/1786320}, journal = {Atmospheric Measurement Techniques (Online)},
issn = {1867-8548},
number = 5,
volume = 14,
place = {United States},
year = {2021},
month = {5}
}

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Temperature and salinity dependence of sea surface emissivity in the thermal infrared
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Improved ice particle optical property simulations in the ultraviolet to far-infrared regime
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Version 4 CALIPSO Imaging Infrared Radiometer ice and liquid water cloud microphysical properties – Part II: Results over oceans
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Cloud climatologies from the infrared sounders AIRS and IASI: strengths and applications
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The MODIS Cloud Optical and Microphysical Products: Collection 6 Updates and Examples From Terra and Aqua
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Sensitivity of Thermal Infrared Radiation at the Top of the Atmosphere and the Surface to Ice Cloud Microphysics
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Occurrence, liquid water content, and fraction of supercooled water clouds from combined CALIOP/IIR/MODIS measurements
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Discriminating between clouds and aerosols in the CALIOP version 4.1 data products
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CALIOP V4 cloud thermodynamic phase assignment and the impact of near-nadir viewing angles
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Retrieval of Cloud Properties Using CALIPSO Imaging Infrared Radiometer. Part II: Effective Diameter and Ice Water Path
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Combined CloudSat-CALIPSO-MODIS retrievals of the properties of ice clouds
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The Measurement and Parameterization of Effective Radius of Droplets in Warm Stratocumulus Clouds
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Fully Automated Detection of Cloud and Aerosol Layers in the CALIPSO Lidar Measurements
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Optical Constants of Water in the 200-nm to 200-μm Wavelength Region
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Lidar and Radioinetric Observations of Cirrus Clouds
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Extinction and optical depth retrievals for CALIPSO's Version 4 data release
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The CALIPSO Mission: A Global 3D View of Aerosols and Clouds
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Inferring Cirrus Size Distributions through Satellite Remote Sensing and Microphysical Databases
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Improvements in Shortwave Bulk Scattering and Absorption Models for the Remote Sensing of Ice Clouds
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Resolving ice cloud optical thickness biases between CALIOP and MODIS using infrared retrievals
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CALIPSO (IIR–CALIOP) retrievals of cirrus cloud ice-particle concentrations
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Information Content of AVHRR Channels 4 and 5 with Respect to the Effective Radius of Cirrus Cloud Particles
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Large Contribution of Supercooled Liquid Clouds to the Solar Radiation Budget of the Southern Ocean
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Fast radiative transfer modeling for infrared imaging radiometry
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Ice cloud microphysical trends observed by the Atmospheric Infrared Sounder
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A variational scheme for retrieving ice cloud properties from combined radar, lidar, and infrared radiometer
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Pollution and the planetary albedo
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