A Comparative Study of Cloud Properties Between Northern and Southern High Latitudes Based on ARM Observations and EAMv2 Simulations

Abstract Earth's high‐latitude regions show a considerable amount of cloud coverage, which significantly affects global radiation budgets. In this study, we examine ground‐ and ship‐based remote sensing observations from two Atmospheric Radiation Measurement (ARM) field campaigns conducted in the high‐latitude regions of Northern and Southern Hemispheres (NH and SH). A comparison of macrophysical properties for low, mid‐level, high, and deep clouds shows that the cloud top heights and thickness values are higher in the Arctic for each cloud type compared with the Southern Ocean and Antarctic regions, possibly due to higher sea surface temperatures in the north Atlantic. The Arctic also shows lower ice phase occurrence frequencies compared with the SH high latitudes for low clouds. For high, mid‐level and deep clouds, the cloud phase distributions as a function of temperature show small geographical variabilities. The observations are then compared with the Department of Energy (DOE) Energy Exascale Earth System Model (E3SM) to evaluate the representations of these cloud properties. The results show that the model captures cloud base and top heights well and reproduces the differences in cloud macrophysical properties between the two hemispheres. But the model underestimates ice phase frequencies for all cloud types. Such model cloud phase bias is strongly correlated with positive relative humidity biases and negative aerosol number concentration biases, indicating an important role of relative humidity and aerosols in modulating cloud phase partitioning in the model.

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Publication Details

Journal
Journal of Geophysical Research Atmospheres
Published
2025-04-24
DOI
https://doi.org/10.1029/2024jd041588
Citations
3
Primary Topic
Atmospheric aerosols and clouds
Type
article
Field-Weighted Citation Impact
3.32

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article

A Comparative Study of Cloud Properties Between Northern and Southern High Latitudes Based on ARM Observations and EAMv2 Simulations

Neel Desai, Yang Shi, Xiaohong Liu, Minghui Diao
3 citations
Journal of Geophysical Research Atmospheres
Atmospheric aerosols and clouds
3.32
article

A Comparative Study of Cloud Properties Between Northern and Southern High Latitudes Based on ARM Observations and EAMv2 Simulations

Neel Desai, Yang Shi, Xiaohong Liu, Minghui Diao
article en
3 citations

Abstract

Abstract Earth's high‐latitude regions show a considerable amount of cloud coverage, which significantly affects global radiation budgets. In this study, we examine ground‐ and ship‐based remote sensing observations from two Atmospheric Radiation Measurement (ARM) field campaigns conducted in the high‐latitude regions of Northern and Southern Hemispheres (NH and SH). A comparison of macrophysical properties for low, mid‐level, high, and deep clouds shows that the cloud top heights and thickness values are higher in the Arctic for each cloud type compared with the Southern Ocean and Antarctic regions, possibly due to higher sea surface temperatures in the north Atlantic. The Arctic also shows lower ice phase occurrence frequencies compared with the SH high latitudes for low clouds. For high, mid‐level and deep clouds, the cloud phase distributions as a function of temperature show small geographical variabilities. The observations are then compared with the Department of Energy (DOE) Energy Exascale Earth System Model (E3SM) to evaluate the representations of these cloud properties. The results show that the model captures cloud base and top heights well and reproduces the differences in cloud macrophysical properties between the two hemispheres. But the model underestimates ice phase frequencies for all cloud types. Such model cloud phase bias is strongly correlated with positive relative humidity biases and negative aerosol number concentration biases, indicating an important role of relative humidity and aerosols in modulating cloud phase partitioning in the model.

Journal of Geophysical Research AtmospheresVol. 130(8)
San Jose State University (US), Massachusetts Institute of Technology (US), Texas A&M University (US)
U.S. Department of Energy, National Energy Research Scientific Computing Center, Biological and Environmental Research
Openalex Percentile: Top 9%
Atmospheric aerosols and clouds
3.32
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