Partridge, D, Banerjee, DS, Ford, D, Wang, K, Skakala, J, Wihsgott, J, Menon, PP, Kay, S, Clewley, D, Rochner, A, Sullivan, E and Palmer, M 2026 A Digital Twin Ocean: can we improve coastal ocean forecasts using targeted marine autonomy?. Ocean Science, 22 (3). 2083-2100. 10.5194/os-22-2083-2026
Skakala, J, Sathyendranath, Shubha, Artioli, Y, Banerjee, DS, Bouman, H, Brewin, RJW, Butenschön, M, Ciavatta, S, Dutkiewicz, S, Fidai, YA, Ford, D, George, G, Guihou, K, Jönsson, BF, Bačeković Koloper, M, Kovač, Ž, Krishnakumary, L, Kulk, G, Laufkötter, C, Lessin, G, Mattern, J, Melet, A, Mignot, A, Moffat, D, Monteiro, FM, Rodriguez Bennadji, M, Rousseaux, CS, Swaminathan, R, Ulloa, O and Tjiputra, J 2026 Modelling primary production: multitude of theories, or multitude of languages?. Ocean Science, 22 (3). 1457-1481. 10.5194/egusphere-2025-6256 (Submitted)
Banerjee, DS, Skakala, J and Ford, D 2026 Assimilation of machine‐learning‐predicted nitrate to improve the quality of phytoplankton forecasting in the shelf‐sea environment. Quarterly Journal of the Royal Meteorological Society, 152 (777). 10.1002/qj.70156
Banerjee, DS and Skákala, J 2024 Improved understanding of eutrophication trends, indicators and problem areas using machine learning. Improved understanding of eutrophication trends, indicators and problem areas using machine learning. 10.22541/essoar.171405637.76928549/v1
Cipollone, A, Banerjee, DS, Lovino, D, Aydogdu, A and Masina, S 2023 Bivariate sea-ice assimilation for global-ocean analysis–reanalysis. Ocean Science, 19 (5). 1375-1392. 10.5194/os-19-1375-2023