Trends and Sensitivities of Low‐Cloud Cover and Top Height From Spaceborne Lidar Observations

Low clouds effectively cool the Earth by reflecting incoming solar radiation. Detecting low-level clouds with passive satellite sensors can be ambiguous, whereas active remote sensing instruments directly measure cloud-top height. Here, we analyze 14 years of spaceborne lidar observations to assess trends in the occurrence of low-level clouds and their cloud-top height. We find that spatial trend patterns in low-level cloud cover and low-level cloud top height are negatively correlated, that is, regions with a decrease in low-cloud cover tend to show an increase in cloud-top height. We find that spatial trend patterns can be well explained by sea-surface temperature (SST) and estimated inversion strength. Low-level clouds in climatological stratocumulus regions are particularly sensitive to changes in SST (−3.4 to −3.7 % K$^{−1}$ in cloud cover and 50 mK$^{−1}$ in cloud-top height) and estimated inversion strength (3.3 % K$^{−1}$ in cloud cover and −69 mK$^{−1}$ in cloud-top height).

Authors

Publication Details

Journal
KITopen
Published
2026-07-24
DOI
https://doi.org/10.5445/ir/1000195545
Primary Topic
Atmospheric aerosols and clouds
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Trends and Sensitivities of Low‐Cloud Cover and Top Height From Spaceborne Lidar Observations

G. Choudhury, M. Tesche, T. Goren, H. Andersen
KITopen
Atmospheric aerosols and clouds
article

Trends and Sensitivities of Low‐Cloud Cover and Top Height From Spaceborne Lidar Observations

G. Choudhury, M. Tesche, T. Goren, H. Andersen
article en

Abstract

Low clouds effectively cool the Earth by reflecting incoming solar radiation. Detecting low-level clouds with passive satellite sensors can be ambiguous, whereas active remote sensing instruments directly measure cloud-top height. Here, we analyze 14 years of spaceborne lidar observations to assess trends in the occurrence of low-level clouds and their cloud-top height. We find that spatial trend patterns in low-level cloud cover and low-level cloud top height are negatively correlated, that is, regions with a decrease in low-cloud cover tend to show an increase in cloud-top height. We find that spatial trend patterns can be well explained by sea-surface temperature (SST) and estimated inversion strength. Low-level clouds in climatological stratocumulus regions are particularly sensitive to changes in SST (−3.4 to −3.7 % K$^{−1}$ in cloud cover and 50 mK$^{−1}$ in cloud-top height) and estimated inversion strength (3.3 % K$^{−1}$ in cloud cover and −69 mK$^{−1}$ in cloud-top height).

KITopen
Life below water
Openalex Percentile: Top 10%
Atmospheric aerosols and clouds
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.