Regimes of Cloud Vertical Structure From Active Observations

Abstract We introduce a new type of cloud class, which we call “active cloud regime” (ACR), owing to its provenance from active (lidar and cloud radar) spaceborne cloud observations. ACRs intend to provide a climatological description based on cloud vertical structure (CVS) of the most prevalent monthly CVS mixtures encountered at large spatial scales of ∼400 km. ACRs are thus a way to create a gridded data set of a vertically resolved cloud mask that can facilitate joint analysis with other gridded data sets. The detailed 2D cloud mask comes from the 2B‐CLDCLASS‐LIDAR CloudSat data set fusing CALIPSO (lidar) and CloudSat (cloud radar) cloud detections. We show that the global classification of cloudiness under the ACR framework provides valuable insights on how the world's dominant cloud systems regulate the two major components of atmospheric energetics, precipitation and radiative cooling. NASA's GEOS model allows us to demonstrate the feasibility of applying the ACR concept in Earth System Models that have the capability to produce subgrid cloudiness obeying pre‐specified vertical overlap rules. Comparison of observed and simulated ACRs provides thus another means to assess the realism of modeled clouds.

Authors

Institutions

Publication Details

Journal
Journal of Geophysical Research Atmospheres
Published
2024-12-27
DOI
https://doi.org/10.1029/2024jd041716
Citations
1
Primary Topic
Atmospheric aerosols and clouds
Type
article
Field-Weighted Citation Impact
0.28
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Regimes of Cloud Vertical Structure From Active Observations

Nayeong Cho, Lazaros Oreopoulos, Dongmin Lee
1 citations
Journal of Geophysical Research Atmospheres
Atmospheric aerosols and clouds
0.28
article

Regimes of Cloud Vertical Structure From Active Observations

Nayeong Cho, Lazaros Oreopoulos, Dongmin Lee
article en
1 citations

Abstract

Abstract We introduce a new type of cloud class, which we call “active cloud regime” (ACR), owing to its provenance from active (lidar and cloud radar) spaceborne cloud observations. ACRs intend to provide a climatological description based on cloud vertical structure (CVS) of the most prevalent monthly CVS mixtures encountered at large spatial scales of ∼400 km. ACRs are thus a way to create a gridded data set of a vertically resolved cloud mask that can facilitate joint analysis with other gridded data sets. The detailed 2D cloud mask comes from the 2B‐CLDCLASS‐LIDAR CloudSat data set fusing CALIPSO (lidar) and CloudSat (cloud radar) cloud detections. We show that the global classification of cloudiness under the ACR framework provides valuable insights on how the world's dominant cloud systems regulate the two major components of atmospheric energetics, precipitation and radiative cooling. NASA's GEOS model allows us to demonstrate the feasibility of applying the ACR concept in Earth System Models that have the capability to produce subgrid cloudiness obeying pre‐specified vertical overlap rules. Comparison of observed and simulated ACRs provides thus another means to assess the realism of modeled clouds.

Journal of Geophysical Research AtmospheresVol. 130(1)
Goddard Space Flight Center (US), University of Maryland, Baltimore County (US), Morgan State University (US)
Climate action
Openalex Percentile: Top 39%
Atmospheric aerosols and clouds
0.28
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.