Material for the study "Projected AMOC weakening controls future diatom decline in the subpolar North Atlantic Ocean"

Material supporting the study "Projected AMOC weakening controls future diatom decline in the subpolar North Atlantic Ocean". This repository contains the following information : compute_Brewin2017.py : python code used to compute phytoplankton NPP from remote sensing observations following the method developed by Brewin et al. (2017) microphytoplankton_Brewin2017_2003-2023.nc : reconstructed microphytoplankton NPP computed with the compute_Brewin2017.py code no3_surface_Zhong2024_2003-2023.nc : reconstructed surface NO3 concentration following the method developed by Zhong et al. (2024). The method was implemented using the LinearRegression python fonction from the sklearn.linear_model package data_figX.npy : python dictionary containing the data used to make figures 1 to 6 of the paper. To load the data, use the following pythoon command : np.load('data_figX.npy',allow_pickle='TRUE').item() All the data used in this study are freely available online. References: Brewin, R. J. W., Tilstone, G. H., Jackson, T., Cain, T., Miller, P. I., Lange, P. K., . . . Airs, R. L. (2017, November). Modelling size-fractionated primary production in the Atlantic Ocean from remote sensing. Progress in Oceanography, 158 , 130–149. Retrieved 2025-09-29, from https://www.sciencedirect.com/science/article/pii/S0079661116300350 doi: 10.1016/j.pocean.2017.02.002 Zhong, A., Wang, D., Gong, F., Zhu, W., Fu, D., Zheng, Z., . . . Bai, Y. (2024, November). Remote sensing estimates of global sea surface nitrate: Methodology and validation. Science of The Total Environment, 950 , 175362. Retrieved 2025-09-24, from https://www.sciencedirect.com/science/article/pii/S0048969724055128 doi: 10.1016/j.scitotenv.2024.175362