HBGC-CNN chlorophyll-a data

The output chlorophyll-a data of the process-based hydro-biogeochemical and the convolutional neural network coupled model, which is described in the study "Prediction on spatial distribution of chlorophyll-a in a coastal sea using a combination of a process-based model and a machine learning model" submitted to Water Research. The data contains four variables: (1) lat: The latitude ranges from 36.73°N to 41.23°N with an interval of 0.042° and a matrix size of 109×1. (2) lon: The longitude ranges from117.27°E to 122.27°E with an interval of 0.042° and a matrix size of 1×121. (3) time: The time ranges from April 1, 2018 to October 31, 2021, with a total of 1310 days. (4) cnn_chla: The chlorophyll a concentration with three dimensions of latitude, longitude, and time. The matrix size is 109 × 121 × 1310.