Evaluation of Clouds in the Conformal Cubic Atmospheric Model Using the <scp>CFMIP</scp> Observation Simulator Package

ABSTRACT Cloud amounts and cloud phases reproduced from single‐moment (SM) and double‐moment (DM) microphysics schemes within Conformal Cubic Atmospheric Model (CCAM) at 105 km resolution are evaluated against CALIPSO‐GOCCP and CloudSat observations using the CFMIP Observation Simulator Package (COSP). Both schemes demonstrate skill in reproducing liquid and ice clouds. However, a persistent deficiency in mid‐ and high‐level liquid clouds remains, contributing to an underestimation of total cloud cover, particularly in the tropics. A comparison between the SM and DM schemes highlights two key improvements. First, DM‐CCAM exhibits better agreement with observed low‐level cloud fractions exceeding 60% in the eastern subtropical oceans. Second, it provides a more accurate representation of ice cloud amounts from 30° toward the poles. Further investigation into the vertical structure of clouds over the Tropical Warm Pool, Southeast Pacific Subtropical Stratocumulus region, and Southern Ocean reveals systematic biases in both CCAM simulations. Notably, the model tends to overproduce optically thick clouds while underrepresenting optically thin clouds in the upper troposphere. Additionally, the model simulates a higher occurrence of drizzle and light rain, along with a lower frequency of non‐precipitating clouds in the lower troposphere. Future work will explore the impact of increased horizontal resolution (e.g., 4 km) on cloud characteristics within the CORDEX‐Australasia domain, which could provide further insights into model performance and inform refinements.

Authors

Institutions

Publication Details

Journal
International Journal of Climatology
Published
2025-03-23
DOI
https://doi.org/10.1002/joc.8846
Citations
1
Primary Topic
Atmospheric aerosols and clouds
Type
article
Field-Weighted Citation Impact
1.11
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluation of Clouds in the Conformal Cubic Atmospheric Model Using the CFMIP Observation Simulator Package

Son C. H. Truong, Marcus Thatcher
1 citations
International Journal of Climatology
Atmospheric aerosols and clouds
1.11
article

Evaluation of Clouds in the Conformal Cubic Atmospheric Model Using the CFMIP Observation Simulator Package

Son C. H. Truong, Marcus Thatcher
article en
1 citations

Abstract

ABSTRACT Cloud amounts and cloud phases reproduced from single‐moment (SM) and double‐moment (DM) microphysics schemes within Conformal Cubic Atmospheric Model (CCAM) at 105 km resolution are evaluated against CALIPSO‐GOCCP and CloudSat observations using the CFMIP Observation Simulator Package (COSP). Both schemes demonstrate skill in reproducing liquid and ice clouds. However, a persistent deficiency in mid‐ and high‐level liquid clouds remains, contributing to an underestimation of total cloud cover, particularly in the tropics. A comparison between the SM and DM schemes highlights two key improvements. First, DM‐CCAM exhibits better agreement with observed low‐level cloud fractions exceeding 60% in the eastern subtropical oceans. Second, it provides a more accurate representation of ice cloud amounts from 30° toward the poles. Further investigation into the vertical structure of clouds over the Tropical Warm Pool, Southeast Pacific Subtropical Stratocumulus region, and Southern Ocean reveals systematic biases in both CCAM simulations. Notably, the model tends to overproduce optically thick clouds while underrepresenting optically thin clouds in the upper troposphere. Additionally, the model simulates a higher occurrence of drizzle and light rain, along with a lower frequency of non‐precipitating clouds in the lower troposphere. Future work will explore the impact of increased horizontal resolution (e.g., 4 km) on cloud characteristics within the CORDEX‐Australasia domain, which could provide further insights into model performance and inform refinements.

International Journal of ClimatologyVol. 45(8)
Commonwealth Scientific and Industrial Research Organisation (AU)
Openalex Percentile: Top 26%
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.