Items where Institution is "Environmental Intelligence" and Year is 2026

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

Cakin, I, Millington, R, Pawar, S, Buckling, A, Smirnoff, N, Padfield, D, Duffy, J and Yvon-Durocher, G 2026 A novel method to simultaneously estimate bacterial respiration and growth from oxygen dynamics. ISME Communications, 6 (1). 10.1093/ismeco/ycag024

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 2026 Estimating Carbon Pools in the European Shelf Sea Environment: Replacing Reanalysis by Model‐Informed Machine Learning?. Journal of Geophysical Research: Machine Learning and Computation, 3 (3). 10.1029/2026JH001326

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)