Quantifying the Differences in Southern Ocean Clouds Observed by Radar and Lidar From Three Platforms

Abstract A synergistic analysis of the radar‐only and combined radar‐lidar observations across the three platforms was conducted. To align with well‐calibrated CloudSat cloud profiling radar (CPR) (and HCR) reflectivity measurements, a constant 4.5 dB offset was applied to all M‐WACR reflectivitives during the MARCUS. This brings M‐WACR data into better agreement with both HCR and CPR reflectivity measurements and facilitates a more reliable cloud fraction (CF) comparison. The total CFs (CF T s) derived from the three radars show excellent agreement. All three radars detect large drizzle drops, but M‐WACR and HCR excel at detecting smaller cloud droplets that are often missed by CPR. The underestimated CFs by CPR are due to increased attenuation of CPR measurements below 3 km, and the combined effects of attenuation and surface clutter below 1 km. Combining radar and lidar observations enhanced cloud detection by 20%–60%. The results from this study provide new insights for designing future cloud radar systems.

Authors

Institutions

Publication Details

Journal
Geophysical Research Letters
Published
2025-05-04
DOI
https://doi.org/10.1029/2024gl112079
Citations
1
Primary Topic
Atmospheric aerosols and clouds
Type
article
Field-Weighted Citation Impact
1.11

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Quantifying the Differences in Southern Ocean Clouds Observed by Radar and Lidar From Three Platforms

Xiaojian Zheng, Baike Xi, Alan Marcovecchio, Ali Behrangi et al.
1 citations
Geophysical Research Letters
Atmospheric aerosols and clouds
1.11
article

Quantifying the Differences in Southern Ocean Clouds Observed by Radar and Lidar From Three Platforms

Xiaojian Zheng, Baike Xi, Alan Marcovecchio, Ali Behrangi, Xiquan Dong, Anik Das, Dylan J. Girone
article en
1 citations

Abstract

Abstract A synergistic analysis of the radar‐only and combined radar‐lidar observations across the three platforms was conducted. To align with well‐calibrated CloudSat cloud profiling radar (CPR) (and HCR) reflectivity measurements, a constant 4.5 dB offset was applied to all M‐WACR reflectivitives during the MARCUS. This brings M‐WACR data into better agreement with both HCR and CPR reflectivity measurements and facilitates a more reliable cloud fraction (CF) comparison. The total CFs (CF T s) derived from the three radars show excellent agreement. All three radars detect large drizzle drops, but M‐WACR and HCR excel at detecting smaller cloud droplets that are often missed by CPR. The underestimated CFs by CPR are due to increased attenuation of CPR measurements below 3 km, and the combined effects of attenuation and surface clutter below 1 km. Combining radar and lidar observations enhanced cloud detection by 20%–60%. The results from this study provide new insights for designing future cloud radar systems.

Geophysical Research LettersVol. 52(9)
Argonne National Laboratory (US), University of Arizona (US)
National Science Foundation
Openalex Percentile: Top 25%
Atmospheric aerosols and clouds
1.11
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.