A global monthly climatology of oceanic total dissolved inorganic carbon: a neural network approach (Discussions version) [Dataset]

• Main Authors: Broullón, Daniel, Pérez, Fiz F., Velo, A., Hoppema, M., Olse, Are, Takahashi, Taro, Key, Robert M., Tanhua, T., Santana-Casiano, Magdalena, Kozyr, Alex
• Format: Other/Unknown Material
• Language: English
• Published: Digital.CSIC 2020
• Subjects: Total dissolved inorganic carbon; Monthly climatology; Neural network; Ocean acidification; Indian; Pacific
• Online Access: https://dx.doi.org/10.20350/digitalcsic/10551; https://digital.csic.es/handle/10261/200537

The item is made of 6 files: 1) README.txt; 2) TCO2_NNGv2LDEO_climatology.nc contains the climatology of TCO2 centered in 1995 and computed with NNGv2LDEO in netcdf4 format; 3) pCO2_NNGv2LDEO_climatology.nc contains the climatology of pCO2 centered in 1995 and computed with NNGv2LDEO and NNGv2 of Broullón et al. (2019) in netcdf4 format 4) NNGv2LDEO.mat is the neural network object used to create the climatology of TCO2; 5) TCO2NNWOA13.mp4 is a video of the surface climatology, 3 vertical sections in the Pacific Ocean, Atlantic Ocean and Indian Ocean and, the variation in depth of one month (April); 6) Example.rar contains an example matrix of inputs and targets to the neural network, the NNGv2LDEO.mat and a MATLAB script to compute TCO2 with NNGv2LDEO