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Title: CERES MODIS Cloud Product Retrievals for Edition 4--Part I: Algorithm Changes

Abstract

The Edition 2 (Ed2) cloud property retrieval algorithm system was upgraded and applied to the MODerate-resolution Imaging Spectroradiometer (MODIS) data for the Clouds and the Earth's Radiant Energy System (CERES) Edition 4 (Ed4) products. New calibrations for solar channels and the use of the 1.24-μm channel for cloud optical depth (COD) over snow improve the daytime consistency between Terra and Aqua MODIS retrievals. Use of additional spectral channels and revised logic enhanced the cloud-top phase retrieval accuracy. A new ice crystal reflectance model and a CO₂-channel algorithm retrieved higher ice clouds, while a new regional lapse rate technique produced more accurate water cloud heights than in Ed2. Ice cloud base heights are more accurate due to a new cloud thickness parameterization. Overall, CODs increased, especially over the polar (PO) regions. The mean particle sizes increased slightly for water clouds, but more so for ice clouds in the PO areas. New experimental parameters introduced in Ed4 are limited in utility, but will be revised for the next CERES edition. As part of the Ed4 retrieval evaluation, the average properties are compared with those from other algorithms and the differences between individual reference data and matched Ed4 retrievals are explored. Part IImore » of this article provides a comprehensive, objective evaluation of selected parameters. More accurate interpretation of the CERES radiation measurements has resulted from the use of the Ed4 cloud properties.« less

Authors:
ORCiD logo [1]; ORCiD logo [1];  [1];  [1]; ORCiD logo [1];  [2];  [3];  [1];  [1];  [4];  [1];  [5];  [1];  [1];  [1];  [1];  [1]; ORCiD logo [1];  [6]; ORCiD logo [7]
  1. Science Systems and Applications, Inc., Hampton, VA (United States)
  2. NASA Langley Research Center, Hampton, VA (United States)
  3. National Oceanic and Atmospheric Administration (NOAA), Madison, CO (United States)
  4. Lanzhou Univ. (China.)
  5. NASA Goddard Inst. for Space Studies (GISS), New York, NY (United States)
  6. Texas A & M Univ., College Station, TX (United States)
  7. National Renewable Energy Lab. (NREL), Golden, CO (United States)
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Brookhaven National Lab. (BNL), Upton, NY (United States); Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
Contributing Org.:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States); Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Brookhaven National Laboratory (BNL), Upton, NY (United States); Argonne National Laboratory (ANL), Argonne, IL (United States)
OSTI Identifier:
1706723
Grant/Contract Number:  
AC05-76RL01830
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
IEEE Transactions on Geoscience and Remote Sensing
Additional Journal Information:
Journal Volume: IEEE Transactions on Geoscience and Remote Sensing; Journal Issue: IEEE Transactions on Geoscience and Remote Sensing; Journal ID: ISSN 0196-2892
Publisher:
IEEE
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; Clouds; MODIS; Integrated optics; Ice; Cloud computing; Meteorology; Optical imaging

Citation Formats

Minnis, Patrick, Sun-Mack, Szedung, Chen, Yan, Chang, Fu-Lung, Yost, Christopher R., Smith, William L., Heck, Patrick W., Arduini, Robert F., Bedka, Sarah T., Yi, Yuhong, Hong, Gang, Jin, Zhonghai, Painemal, David, Palikonda, Rabindra, Scarino, Benjamin R., Spangenberg, Douglas A., Smith, Rita A., Trepte, Qing Z., Yang, Ping, and Xie, Yu. CERES MODIS Cloud Product Retrievals for Edition 4--Part I: Algorithm Changes. United States: N. p., 2020. Web. doi:10.1109/tgrs.2020.3008866.
Minnis, Patrick, Sun-Mack, Szedung, Chen, Yan, Chang, Fu-Lung, Yost, Christopher R., Smith, William L., Heck, Patrick W., Arduini, Robert F., Bedka, Sarah T., Yi, Yuhong, Hong, Gang, Jin, Zhonghai, Painemal, David, Palikonda, Rabindra, Scarino, Benjamin R., Spangenberg, Douglas A., Smith, Rita A., Trepte, Qing Z., Yang, Ping, & Xie, Yu. CERES MODIS Cloud Product Retrievals for Edition 4--Part I: Algorithm Changes. United States. https://doi.org/10.1109/tgrs.2020.3008866
Minnis, Patrick, Sun-Mack, Szedung, Chen, Yan, Chang, Fu-Lung, Yost, Christopher R., Smith, William L., Heck, Patrick W., Arduini, Robert F., Bedka, Sarah T., Yi, Yuhong, Hong, Gang, Jin, Zhonghai, Painemal, David, Palikonda, Rabindra, Scarino, Benjamin R., Spangenberg, Douglas A., Smith, Rita A., Trepte, Qing Z., Yang, Ping, and Xie, Yu. Thu . "CERES MODIS Cloud Product Retrievals for Edition 4--Part I: Algorithm Changes". United States. https://doi.org/10.1109/tgrs.2020.3008866. https://www.osti.gov/servlets/purl/1706723.
@article{osti_1706723,
title = {CERES MODIS Cloud Product Retrievals for Edition 4--Part I: Algorithm Changes},
author = {Minnis, Patrick and Sun-Mack, Szedung and Chen, Yan and Chang, Fu-Lung and Yost, Christopher R. and Smith, William L. and Heck, Patrick W. and Arduini, Robert F. and Bedka, Sarah T. and Yi, Yuhong and Hong, Gang and Jin, Zhonghai and Painemal, David and Palikonda, Rabindra and Scarino, Benjamin R. and Spangenberg, Douglas A. and Smith, Rita A. and Trepte, Qing Z. and Yang, Ping and Xie, Yu},
abstractNote = {The Edition 2 (Ed2) cloud property retrieval algorithm system was upgraded and applied to the MODerate-resolution Imaging Spectroradiometer (MODIS) data for the Clouds and the Earth's Radiant Energy System (CERES) Edition 4 (Ed4) products. New calibrations for solar channels and the use of the 1.24-μm channel for cloud optical depth (COD) over snow improve the daytime consistency between Terra and Aqua MODIS retrievals. Use of additional spectral channels and revised logic enhanced the cloud-top phase retrieval accuracy. A new ice crystal reflectance model and a CO₂-channel algorithm retrieved higher ice clouds, while a new regional lapse rate technique produced more accurate water cloud heights than in Ed2. Ice cloud base heights are more accurate due to a new cloud thickness parameterization. Overall, CODs increased, especially over the polar (PO) regions. The mean particle sizes increased slightly for water clouds, but more so for ice clouds in the PO areas. New experimental parameters introduced in Ed4 are limited in utility, but will be revised for the next CERES edition. As part of the Ed4 retrieval evaluation, the average properties are compared with those from other algorithms and the differences between individual reference data and matched Ed4 retrievals are explored. Part II of this article provides a comprehensive, objective evaluation of selected parameters. More accurate interpretation of the CERES radiation measurements has resulted from the use of the Ed4 cloud properties.},
doi = {10.1109/tgrs.2020.3008866},
url = {https://www.osti.gov/biblio/1706723}, journal = {IEEE Transactions on Geoscience and Remote Sensing},
issn = {0196-2892},
number = IEEE Transactions on Geoscience and Remote Sensing,
volume = IEEE Transactions on Geoscience and Remote Sensing,
place = {United States},
year = {2020},
month = {7}
}

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