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handle: 10261/184460
The item is made of 5 files: 1) README.txt; 2) AT_NNGv2_climatology.nc contains the climatology of AT computed with NNGv2 in netcdf4 format and the climatologies of oxygen (median filtered from WOA13), phosphate, nitrate and silicate (these three derived from CANYON-B); 3) NNGv2 is the neural network object used to create the climatology; 4)ATNNWOA13.mp4 is a video of the surface climatology, 3 vertical sections in the Pacific Ocean, Atlantic Ocean and Indean Ocean and, the variation in depth of one month (April); 5) Example.rar contains an example matrix of inputs to the neural network, the NNGv2.mat and a MATLAB script to compute AT with NNGv2
This research was supported by Ministerio de Educación, Cultura y Deporte (FPU grant FPU15/06026), Ministerio de Economía y Competitividad through the ARIOS (CTM2016-76146-C3-1-R) project co-funded by the Fondo Europeo de Desarrollo Regional 2014-2020 (FEDER) and EU Horizon 2020 through the AtlantOS project (grant agreement 633211)
AT_NNGv2_climatology.nc.-- NNGv2.-- ATNNWOA13.mp4.-- Example.rar.-- README.txt
Dataset for the article https://doi.org/10.5194/essd-11-1109-2019
Peer reviewed
http://aims.fao.org/aos/agrovoc/c_8721, Monthly climatology, http://aims.fao.org/aos/agrovoc/c_37467, Total alkalinity, Ocean acidification, alkalinity, http://aims.fao.org/aos/agrovoc/c_51289d95, ocean acidification, neural networks, Neural network
http://aims.fao.org/aos/agrovoc/c_8721, Monthly climatology, http://aims.fao.org/aos/agrovoc/c_37467, Total alkalinity, Ocean acidification, alkalinity, http://aims.fao.org/aos/agrovoc/c_51289d95, ocean acidification, neural networks, Neural network
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