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Título: | A global monthly climatology of total alkalinity: a neural network approach (Discussions version) [Dataset] |
Autor: | Broullón, Daniel CSIC ORCID; Pérez, Fiz F. CSIC ORCID ; Velo, A. CSIC ORCID ; Hoppema, Mario; Olsen, Are; Takahashi, Taro; Key, Robert M.; González-Dávila, Melchor; Tanhua, Toste; Jeansson, Emil; Kozyr, Alex; van Heuven, Steven | Palabras clave: | Total alkalinity Monthly climatology Neural networks Ocean acidification |
Tesauro AGROVOC: | alkalinity acidification climatic data |
Fecha de publicación: | 2018 | Citación: | Broullón, Daniel; Pérez, Fiz F.; Velo, A.; Hoppema, M.; Olsen, Are; Takahashi, Taro; Key, Robert M.; González-Dávila, Melchor; Tanhua, T.; Jeansson, Emil; Kozyr, Alex; Van Heuven, S.; 2018; “A global monthly climatology of total alkalinity: a neural network approach (Discussions version) [Dataset]”; Digital.CSIC; http://dx.doi.org/10.20350/digitalCSIC/8564 | Descripción: | The item is made of 6 files: 1) Readme_Global_monthly_dataset.txt; 2) ATNNWOA13.nc is the climatological data of total alkalinity computed with NNGv2; 3) NNGv2 is the neural network object used to create the climatology; 4) NNw3RMSE is a neural network object used to evaluate the error of the network when it is trained without data beyond +-3RMSE; 5)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); 6) Example.rar contains an example matrix of inputs to the neural network, the NNGv2.mat and a MATLAB script to compute AT with NNGv2.-- The final version is in http://dx.doi.org/10.20350/digitalCSIC/8644 | URI: | http://hdl.handle.net/10261/169529 | DOI: | 10.20350/digitalCSIC/8564 |
Aparece en las colecciones: | (IIM) Conjuntos de datos |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
---|---|---|---|---|
ATNNWOA13.mp4 | 34,12 MB | Unknown | Visualizar/Abrir | |
NNw3RMSE.mat | 26,1 kB | Unknown | Visualizar/Abrir | |
ATNNWOA13.nc | 589,73 MB | Unknown | Visualizar/Abrir | |
README_Global_monthly_dataset2.txt | 1,37 kB | Text | Visualizar/Abrir | |
Example.rar | 54,81 kB | Unknown | Visualizar/Abrir | |
NNGv2.mat | 26,18 kB | Unknown | Visualizar/Abrir |
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