Low‐level clouds over the Southern Ocean (SO) exert a strong influence on surface radiation, yet their representation in reanalyses and climate models remains uncertain. We evaluated cloud properties and surface radiative fluxes from ERA5, MERRA‐2, and the CAM‐ATRAS model using observations obtained over the SO by Japan's R/V Shirase during December 2022 and March 2023. ERA5 and MERRA‐2 overestimate the frequency of low‐level clouds with a base below 1 km. Although CAM‐ATRAS also overestimates very low clouds, it shows the best overall agreement with observations in cloud occurrence and phase. Despite the high frequency of low‐level clouds, all data sets underestimate downward longwave (DLW) radiation. Cold bias and cloud phase bias likely reduce cloud‐base emissivity and contribute to underestimated DLW radiation. Aerosol sensitivity experiments using CAM‐ATRAS indicate that enhanced cloud condensation nuclei concentrations increase low‐level cloud frequency but have a limited impact on surface radiative fluxes.
Climate models have substantial biases in downwelling shortwave radiation over the Southern Ocean (SO) and Antarctica, primarily due to their inability to accurately represent the frequent occurrence of low‐level mixed‐phase clouds. Building on the evaluation of the Unified Model (UM) Regional Atmosphere and Land versi...
Z. Pei, S. Fiddes, M. Mallet et al.· Journal of Geophysical Resea...· 0 citations
Low‐level clouds in the tropical cyclone (TC) rainbands modulate the radial inflow of warm, moist boundary layer air, which can impact TC intensity. Yet, precisely measuring rainband cloud boundaries with existing remote sensing techniques remains a challenge. To address this observational gap, this work leverages comp...
Ethan J. Murray, Zhi-En Wang, K. Karnauskas et al.· Journal of Geophysical Resea...· 0 citations
Changes in the vertical distributions of cloud fraction (CF) and cloud phase (CP) are robust signatures of climate change and directly influence atmospheric heating rates, planetary energy budget and hydrological cycle. However, the global sensitivities of CF and CP profiles to surface temperature (ST) change remain po...
Wei-Yuan Zhang, Jiming Li, Sihang Xu et al.· Journal of Geophysical Resea...· 0 citations
Cloud‐fog formation substantially reduces near‐surface solar radiation and modulates land‐atmosphere interactions, but quantifying such reduction is limited by sparse mountain observations. Using a 1‐km geostationary satellite‐retrieved product, we apply the Reduction Ratio of Solar Radiation (RRSR), an empirical norma...
Te-Yu Ou, Rong-Yu Gu, Yikwon Jang et al.· Geophysical Research Letters· 0 citations
Passive satellite observations provide global coverage of cloud‐top and column‐integrated properties but offer limited direct information about vertical cloud structure. Here, we evaluate the extent to which passive cloud‐top, optical, and microphysical retrievals, together with large‐scale environmental variables, con...
K. Smalley, Emily K. de Jong, N. Gunawardena et al.· Journal of Geophysical Resea...· 0 citations
Central Asia (CA) has experienced substantial climate change in recent decades, yet the role of clouds in regulating the regional climate remains poorly quantified. Here, we investigate changes in summer temperature, precipitation, cloud cover, and cloud radiative effects over CA using observations for 1979–2025 and CE...
Qing-Liang Wang, Ye Han, Chao-Hui Zhou et al.· Atmosphere· 0 citations
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