Boundary‐Layer‐Coupled and Decoupled Clouds in Global Storm‐Resolving Models: Comparisons With the ARM Observations

Abstract The accurate representation of interactions between clouds and planetary boundary layer (PBL) is a persistent challenge in climate models, critical for simulating surface energy budget. The emergence of kilometer‐grid‐scale global storm resolving models (GSRMs) offers the potential for enhanced details of PBL processes in these complex interactions. This study evaluates the representation of PBL‐coupled and decoupled clouds in nine GSRM simulations against extensive ground‐based observations by the Department of Energy Atmospheric Radiation Measurement (ARM) program, across six sites encompassing diverse regimes such as marine and continental environments in tropics and midlatitude. By differentiating coupling based on the relative positions between cloud bases and PBL tops, our analysis focuses on the simulation of PBL height, cloud frequency, position and vertical extent. The GSRMs generally exhibit commendable agreements with observed cloud structures and PBL diurnal cycles across different ARM sites. In contrast to the relatively consistent representation of decoupled clouds, discrepancies exist between the simulated and the observed coupled clouds, particularly in areas of intense convection, for example, over tropical rainforests and mountainous regions. These biases are probably associated with the models' tendency to underestimate the boundary layer humidity and the frequency of coupled clouds within different ranges of PBL heights. This study underscores the importance for continuous improvements in the representation of boundary layer and convection within these global kilometer‐grid‐scale models.

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Publication Details

Journal
Journal of Geophysical Research Atmospheres
Published
2025-02-26
DOI
https://doi.org/10.1029/2024jd041915
Citations
5
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
5.53

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article

Boundary‐Layer‐Coupled and Decoupled Clouds in Global Storm‐Resolving Models: Comparisons With the ARM Observations

Tianning Su, Jingjing Tian, Yunyan Zhang
5 citations
Journal of Geophysical Research Atmospheres
Climate variability and models
5.53
article

Boundary‐Layer‐Coupled and Decoupled Clouds in Global Storm‐Resolving Models: Comparisons With the ARM Observations

Tianning Su, Jingjing Tian, Yunyan Zhang
article en
5 citations

Abstract

Abstract The accurate representation of interactions between clouds and planetary boundary layer (PBL) is a persistent challenge in climate models, critical for simulating surface energy budget. The emergence of kilometer‐grid‐scale global storm resolving models (GSRMs) offers the potential for enhanced details of PBL processes in these complex interactions. This study evaluates the representation of PBL‐coupled and decoupled clouds in nine GSRM simulations against extensive ground‐based observations by the Department of Energy Atmospheric Radiation Measurement (ARM) program, across six sites encompassing diverse regimes such as marine and continental environments in tropics and midlatitude. By differentiating coupling based on the relative positions between cloud bases and PBL tops, our analysis focuses on the simulation of PBL height, cloud frequency, position and vertical extent. The GSRMs generally exhibit commendable agreements with observed cloud structures and PBL diurnal cycles across different ARM sites. In contrast to the relatively consistent representation of decoupled clouds, discrepancies exist between the simulated and the observed coupled clouds, particularly in areas of intense convection, for example, over tropical rainforests and mountainous regions. These biases are probably associated with the models' tendency to underestimate the boundary layer humidity and the frequency of coupled clouds within different ranges of PBL heights. This study underscores the importance for continuous improvements in the representation of boundary layer and convection within these global kilometer‐grid‐scale models.

Journal of Geophysical Research AtmospheresVol. 130(5)
Lawrence Livermore National Laboratory (US), Pacific Northwest National Laboratory (US)
U.S. Department of Energy
Openalex Percentile: Top 5%
Climate variability and models
5.53
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