研究目的
To describe the newly implemented procedures for calibrating the 1064 nm measurements of the CALIOP lidar on the CALIPSO mission, improving accuracy and addressing limitations of previous versions.
研究成果
The V4 calibration algorithm for CALIOP's 1064 nm channel significantly improves accuracy, with calibration coefficients accurate to within 3%. It reduces biases and enhances the reliability of downstream data analyses, such as cloud-aerosol discrimination and aerosol optical depth retrievals.
研究不足
The calibration relies on the assumption that cirrus backscatter color ratio is spectrally independent (χcirrus ≈ 1.01 ± 0.25), which may introduce bias. The method is not applicable for all atmospheric conditions, and there are limitations in SNR at 1064 nm. Non-ideal detector responses and data averaging challenges can affect accuracy.
1:Experimental Design and Method Selection:
The study uses a revised calibration algorithm for the 1064 nm channel of CALIOP, based on cirrus cloud backscatter relative to the calibrated 532 nm channel, with new criteria for cloud selection and data averaging.
2:Sample Selection and Data Sources:
Data from CALIOP lidar measurements, including cirrus clouds, water clouds, and ocean surfaces, are used. Selection criteria involve altitude, temperature, depolarization ratio, and integrated attenuated backscatter.
3:List of Experimental Equipment and Materials:
CALIOP lidar instrument, airborne High Spectral Resolution Lidar (HSRL), MODIS data for validation.
4:Experimental Procedures and Operational Workflow:
The calibration involves identifying calibration-quality cirrus clouds, computing scale factors, and applying multi-granule averaging to capture intra-orbit variability. Comparisons are made with alternative calibration targets and HSRL measurements.
5:Data Analysis Methods:
Statistical analysis of calibration coefficients, error propagation, and validation through comparisons with independent measurements.
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