November 30, 2025Journal of Geophysical Research Atmospheres

Influence of Cloud Microphysical Properties on Airborne Lidar Measurements: Results From the IMPACTS Field Campaign

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Higher temperatures in supercooled liquid water regions are linked to distinct particle size variations.
Lidar data was analyzed to study effects on particle sizes, showing differences in backscatter and phase characteristics.
Observational analysis across multiple cloud events provided insights into the relationship between cloud properties and lidar measurements.
These findings highlight the need for improved algorithms for cloud phase and particle shape detection using lidar data.

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Implication

Observational analysis correlates lidar data with microphysical properties in ice and liquid clouds, indicating implications for remote sensing algorithms.

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A 2025 study studied this question.

synapsesocial.com/papers/692b9da91d383f2b2a37a428 https://doi.org/10.1029/2025jd044591

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Implication

Observational analysis correlates lidar data with microphysical properties in ice and liquid clouds, indicating implications for remote sensing algorithms.

Influence of Cloud Microphysical Properties on Airborne Lidar Measurements: Results From the IMPACTS Field Campaign

Key Points

Discussion

Implication

Cite This Study

Influence of Cloud Microphysical Properties on Airborne Lidar Measurements: Results From the IMPACTS Field Campaign

Key Points

Discussion

Implication

Cite This Study

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