A machine learning approach for evaluating Southern Ocean cloud radiative biases in a global atmosphere model by S. L. Fiddes, S. L. Fiddes, M. D. Mallet, A. Protat, A. Protat, M. T. Woodhouse, M. T. Woodhouse, S. P. Alexander, S. P. Alexander, K. Furtado, K. Furtado

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Radar and environment-based hail damage estimates using machine learning by L. Ackermann, J. Soderholm, A. Protat, R. Whitley, L. Ye, N. Ridder

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Relating Ocean Biogeochemistry and Low‐Level Cloud Properties Over the Southern Oceans by C. Bazantay, O. Jourdan, G. Mioche, J. Uitz, A. Dziduch, J. Delanoë, Q. Cazenave, R. Sauzède, A. Protat, K. Sellegri

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Segmentation of polarimetric radar imagery using statistical texture by A. Guyot, A. Guyot, J. P. Brook, A. Protat, K. Turner, J. Soderholm, N. F. McCarthy, H. McGowan

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Measurement report: Understanding the seasonal cycle of Southern Ocean aerosols by R. S. Humphries, R. S. Humphries, M. D. Keywood, M. D. Keywood, J. P. Ward, J. Harnwell, S. P. Alexander, S. P. Alexander, A. R. Klekociuk, A. R. Klekociuk, K. Hara, I. M. McRobert, A. Protat, A. Protat, J. Alroe, L. T. Cravigan, B. Miljevic, Z. D. Ristovski, R. Schofield, S. R. Wilson, C. J. Flynn, G. R. Kulkarni, G. G. Mace, G. M. McFarquhar, S. D. Chambers, A. G. Williams, A. D. Griffiths

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