研究目的
To evaluate the impact of hardware generation and firmware version on the observed attenuated backscatter profiles from Vaisala CL31 ceilometers and to develop correction procedures for consistent processing of historic data.
研究成果
The study concludes that attenuated backscatter profiles from Vaisala CL31 ceilometers, after applying the recommended corrections and using recent firmware versions, are capable of providing valuable information for atmospheric boundary layer studies, detection of elevated aerosol layers, and model verification. It emphasizes the importance of understanding instrument-specific characteristics and applying appropriate corrections for reliable data analysis.
研究不足
The study is limited to Vaisala CL31 ceilometers and does not cover other models or manufacturers. The correction procedures developed may not be fully applicable to data collected with firmware versions not tested in the study. The absolute calibration of the ceilometers is not addressed, which may affect the accuracy of the attenuated backscatter profiles.
1:Experimental Design and Method Selection:
The study evaluates the impact of hardware generation and firmware version on attenuated backscatter profiles from Vaisala CL31 ceilometers. It involves testing new firmware versions against previous ones to identify and correct artificial features introduced by data processing.
2:Sample Selection and Data Sources:
Observations from three ceilometer networks (LUMO, Met Office, and Meteo France/SIRTA) are used to illustrate relevant data processing aspects.
3:List of Experimental Equipment and Materials:
Vaisala CL31 ceilometers with different generations of hardware and various firmware versions are used.
4:Experimental Procedures and Operational Workflow:
The study involves analyzing attenuated backscatter profiles to evaluate the impact of hardware and firmware, developing correction procedures for artefacts, and proposing a method to account for the instrument-related background signal.
5:Data Analysis Methods:
The study uses statistical techniques to analyze the impact of corrections on the final product, the attenuated backscatter, and to evaluate the signal-to-noise ratio for quality assurance.
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