Retrieving monthly and interannual pHT in the East China Sea shelf using an artificial neural network: ANN-pHT-v1

<br> The reliability of the artificial neural network model was evaluated by independent sampled data from 3 cruises in 2018. Monthly water column pHT for the period 2000-2016 was obtained passing T, S, DO, N, P, and Si from the Finite-Volume Coastal Ocean Model with the European Regional Sea Ecosystem Model through the artificial neural network. The spatiotemporal resolution of monthly pHT is 1-10 km in the horizontal, 10 depth levels in the vertical, and 12 months. Seasonal pHT dynamics in the East China Sea shelf can be primarily attributed to temperature changes and the shifting balance of production and respiration processes.