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Published in 2024 at "Geophysical Research Letters"
DOI: 10.1029/2024gl109735
Abstract: In this study, we evaluated the performance of machine learning (ML) models (XGBoost) in predicting low‐cloud fraction (LCF), compared to two generations of the community atmospheric model (CAM5 and CAM6) and ERA5 reanalysis data, each…
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Keywords:
low cloud;
improving low;
cloud fraction;
machine learning ... See more keywords
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Published in 2025 at "Geophysical Research Letters"
DOI: 10.1029/2025gl117015
Abstract: The sea surface temperature (SST) pattern modulates the Earth's radiative feedbacks at decadal timescales. However, decadal feedback variations over the historical period depend on the choice of climate model, even when forced with the same…
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Keywords:
cloud feedback;
tropospheric stability;
low cloud;
cloud ... See more keywords
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Published in 2025 at "Nature Communications"
DOI: 10.1038/s41467-024-53985-w
Abstract: Tropical marine low cloud feedback is key to the uncertainty in climate sensitivity, and it depends on the warming pattern of sea surface temperatures (SSTs). Here, we empirically constrain this feedback in two major low…
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Keywords:
cloud feedback;
multi objective;
pacific;
low cloud ... See more keywords
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Published in 2020 at "Atmospheric Measurement Techniques"
DOI: 10.5194/amt-13-6989-2020
Abstract: Abstract. Marine low clouds display rich mesoscale morphological types and distinct spatial patterns of cloud fields. Being able to differentiate low-cloud morphology offers a tool for the research community to go one step beyond bulk…
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Keywords:
convection;
low cloud;
modis;
marine low ... See more keywords