Dataset: A global daily three-dimensional chlorophyll-a dataset from January 2021 to December 2023

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Authors: Yuchao Wang, Fenfen Liu
Cited by: 0

Abstract

This global daily three-dimensional chlorophyll-a dataset from January 2021 to December 2023 (filename: Y_phy_2021_2023_interp.mat) was inverted by our chlorophyll-a random forest model (filename: best_model_8891.mat). This is a machine learning-based method for merging satellite and Argo data to extend surface chlorophyll-a to depth. Figure 1 shows the global chlorophyll-a distribution at different water depth derived from the reconstructed dataset in 2023. Figure 2 shows the chlorophyll-a profile of the Atlantic Meridional Transect. Figure 3 shows the chlorophyll-a profile of the Equatorial Pacific.

Fields of Study & Subjects

Marine Plankton and Biogeochemistry Oceanographic and Atmospheric Processes Aquatic Ecosystems and Phytoplankton Dynamics

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
1 February 2026
Language
EN
Document type
Dataset