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Optimizing cirrus optical depth retrievals over the ocean from collocated CALIPSO and AMSR-E observations
Applied Optics
|November 22, 2018
Summary
This study introduces a new method to measure cirrus optical depth (COD) over oceans using CALIOP lidar data and wind speeds, improving accuracy by avoiding assumptions about lidar ratios. The new method yields higher COD values than current algorithms.
Area of Science:
- Atmospheric Science
- Remote Sensing
- Cloud Physics
Background:
- CALIOP retrievals of particulate optical depth rely on a fixed lidar ratio, which varies with microphysical properties.
- Existing methods for semi-transparent cirrus optical depth (COD) over oceans often assume a lidar ratio, introducing potential inaccuracies.
Purpose of the Study:
- To develop and validate an alternative method for inferring COD over the open ocean that does not require an assumed lidar ratio.
- To improve the accuracy of cirrus optical depth retrievals from CALIOP data.
Main Methods:
- Inferred COD directly from CALIOP lidar backscatter measurements and AMSR-E sea surface wind speed data.
- Utilized a Gram-Charlier ocean surface reflectance model and corrected for sea surface backscatter bias using CALIOP's 532 nm cross-polarization feature.
Main Results:
- The new method provides COD retrievals for single-layer cirrus clouds over the ocean.
- Global mean COD values were found to be approximately 14% higher than those from the Version 4 CALIOP algorithm.
Conclusions:
- The developed method offers a more accurate approach to COD retrieval by eliminating reliance on assumed lidar ratios.
- Findings are crucial for enhancing future CALIOP operational products and understanding cirrus cloud properties.
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