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DIGITAL.CSIC
Dataset . 2019
Data sources: Datacite
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A global monthly climatology of total alkalinity: a neural network approach (2019) [Dataset]

Authors: Broullón, Daniel; Pérez, Fiz F.; Velo, Antón; Hoppema, Mario; Olsen, Are; Takahashi, Taro; Key, Robert M.; +5 Authors

A global monthly climatology of total alkalinity: a neural network approach (2019) [Dataset]

Abstract

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

Country
Spain
Related Organizations
Keywords

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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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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