Total column optical depths retrieved from CALIPSO lidar ocean surface backscatter
<p>This paper introduces the Ocean Derived Column Optical Depth (ODCOD) algorithm. ODCOD is now being used to retrieve full-column optical depths from the 532 nm measurements acquired by the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) aboard the Cloud-Aerosol Lidar Infrared Pathf...
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Copernicus Publications
2024-11-01
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| Series: | Atmospheric Measurement Techniques |
| Online Access: | https://amt.copernicus.org/articles/17/6517/2024/amt-17-6517-2024.pdf |
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| author | R. A. Ryan M. A. Vaughan S. D. Rodier J. L. Tackett J. A. Reagan R. A. Ferrare J. W. Hair J. A. Smith B. J. Getzewich |
| author_facet | R. A. Ryan M. A. Vaughan S. D. Rodier J. L. Tackett J. A. Reagan R. A. Ferrare J. W. Hair J. A. Smith B. J. Getzewich |
| author_sort | R. A. Ryan |
| collection | DOAJ |
| description | <p>This paper introduces the Ocean Derived Column Optical Depth (ODCOD) algorithm. ODCOD is now being used to retrieve full-column optical depths from the 532 nm measurements acquired by the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) aboard the Cloud-Aerosol Lidar Infrared Pathfinder Satellite Observations (CALIPSO) spacecraft. ODCOD uses the lidar integrated attenuated backscatter from the ocean surface, together with collocated wind speed estimates from Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2), to estimate the full-column optical depths of particulates (i.e., clouds and aerosols) in the Earth's atmosphere. Unlike CALIOP's standard retrievals, which estimate optical depths only when particulate layers are detected, ODCOD retrievals deliver a comprehensive estimate that accounts for attenuation by all particulates present within the lidar profiles. This paper describes the ODCOD algorithm, develops random uncertainty estimates, and characterizes the systematic differences between ODCOD optical depths and those reported by previously validated data sets. This paper presents performance assessments of ODCOD cloud-free profiles to compare the ODCOD aerosol optical depth (AOD) retrievals to collocated measurements made by the airborne High Spectral Resolution Lidar (HSRL) instruments flown by NASA Langley Research Center (LaRC), to daytime estimates derived from the Moderate Resolution Imaging Spectroradiometer (MODIS), and to daytime and nighttime retrievals using the Synergized Optical Depth of Aerosols (SODA) algorithm. ODCOD AODs are biased high relative to LaRC HSRL AODs by 0.009 <span class="inline-formula">±</span> 0.043 (median <span class="inline-formula">±</span> median absolute deviation), with a correlation coefficient of 0.724, and biased low relative to MODIS by 0.009 <span class="inline-formula">±</span> 0.041, with a correlation coefficient of 0.834. Relative to SODA, which derives AOD from a combination of CALIOP and CloudSat ocean surface measurements, ODCOD is biased high in the daytime by 0.004 <span class="inline-formula">±</span> 0.035 and higher at night by 0.027 <span class="inline-formula">±</span> 0.034, with correlation coefficients of 0.887 and 0.891, respectively. Because ODCOD estimates are independent from the standard CALIOP optical depth retrievals, they offer potential for future advances in the CALIPSO data record, both in validating CALIOP's standard estimates and as a potential total column constraint to improve extinction coefficient retrievals.</p> |
| format | Article |
| id | doaj-art-f2f3a18e3e2f4f1ab207ed9d86f41e6b |
| institution | Kabale University |
| issn | 1867-1381 1867-8548 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Copernicus Publications |
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| series | Atmospheric Measurement Techniques |
| spelling | doaj-art-f2f3a18e3e2f4f1ab207ed9d86f41e6b2024-11-14T13:28:16ZengCopernicus PublicationsAtmospheric Measurement Techniques1867-13811867-85482024-11-01176517654510.5194/amt-17-6517-2024Total column optical depths retrieved from CALIPSO lidar ocean surface backscatterR. A. Ryan0M. A. Vaughan1S. D. Rodier2J. L. Tackett3J. A. Reagan4R. A. Ferrare5J. W. Hair6J. A. Smith7B. J. Getzewich8Coherent Application, Inc. – Psionic LLC, Hampton, VA, USANASA Langley Research Center, Hampton, VA, USAADNET Systems, Inc., Bethesda, MD, USANASA Langley Research Center, Hampton, VA, USADepartment of Electrical and Computer Engineering, University of Arizona, Tucson, AZ, USANASA Langley Research Center, Hampton, VA, USANASA Langley Research Center, Hampton, VA, USANASA Langley Research Center, Hampton, VA, USANASA Langley Research Center, Hampton, VA, USA<p>This paper introduces the Ocean Derived Column Optical Depth (ODCOD) algorithm. ODCOD is now being used to retrieve full-column optical depths from the 532 nm measurements acquired by the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) aboard the Cloud-Aerosol Lidar Infrared Pathfinder Satellite Observations (CALIPSO) spacecraft. ODCOD uses the lidar integrated attenuated backscatter from the ocean surface, together with collocated wind speed estimates from Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2), to estimate the full-column optical depths of particulates (i.e., clouds and aerosols) in the Earth's atmosphere. Unlike CALIOP's standard retrievals, which estimate optical depths only when particulate layers are detected, ODCOD retrievals deliver a comprehensive estimate that accounts for attenuation by all particulates present within the lidar profiles. This paper describes the ODCOD algorithm, develops random uncertainty estimates, and characterizes the systematic differences between ODCOD optical depths and those reported by previously validated data sets. This paper presents performance assessments of ODCOD cloud-free profiles to compare the ODCOD aerosol optical depth (AOD) retrievals to collocated measurements made by the airborne High Spectral Resolution Lidar (HSRL) instruments flown by NASA Langley Research Center (LaRC), to daytime estimates derived from the Moderate Resolution Imaging Spectroradiometer (MODIS), and to daytime and nighttime retrievals using the Synergized Optical Depth of Aerosols (SODA) algorithm. ODCOD AODs are biased high relative to LaRC HSRL AODs by 0.009 <span class="inline-formula">±</span> 0.043 (median <span class="inline-formula">±</span> median absolute deviation), with a correlation coefficient of 0.724, and biased low relative to MODIS by 0.009 <span class="inline-formula">±</span> 0.041, with a correlation coefficient of 0.834. Relative to SODA, which derives AOD from a combination of CALIOP and CloudSat ocean surface measurements, ODCOD is biased high in the daytime by 0.004 <span class="inline-formula">±</span> 0.035 and higher at night by 0.027 <span class="inline-formula">±</span> 0.034, with correlation coefficients of 0.887 and 0.891, respectively. Because ODCOD estimates are independent from the standard CALIOP optical depth retrievals, they offer potential for future advances in the CALIPSO data record, both in validating CALIOP's standard estimates and as a potential total column constraint to improve extinction coefficient retrievals.</p>https://amt.copernicus.org/articles/17/6517/2024/amt-17-6517-2024.pdf |
| spellingShingle | R. A. Ryan M. A. Vaughan S. D. Rodier J. L. Tackett J. A. Reagan R. A. Ferrare J. W. Hair J. A. Smith B. J. Getzewich Total column optical depths retrieved from CALIPSO lidar ocean surface backscatter Atmospheric Measurement Techniques |
| title | Total column optical depths retrieved from CALIPSO lidar ocean surface backscatter |
| title_full | Total column optical depths retrieved from CALIPSO lidar ocean surface backscatter |
| title_fullStr | Total column optical depths retrieved from CALIPSO lidar ocean surface backscatter |
| title_full_unstemmed | Total column optical depths retrieved from CALIPSO lidar ocean surface backscatter |
| title_short | Total column optical depths retrieved from CALIPSO lidar ocean surface backscatter |
| title_sort | total column optical depths retrieved from calipso lidar ocean surface backscatter |
| url | https://amt.copernicus.org/articles/17/6517/2024/amt-17-6517-2024.pdf |
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