A 25-Year Daily Gap-Filled Global Ocean Colour Product
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OverviewThis dataset provides a global, daily, gap-filled ocean-colour product covering the period 2000–2024 at a spatial resolution of 9 km. It is designed as an analysis-ready record for marine ecological monitoring and long-term studies. Input data sourceThe input observations are derived from the European Space Agency (ESA) Ocean Colour Climate Change Initiative (OC-CCI) Version 6.0 multi-sensor daily products. Reconstruction methodThe product was generated using a GPU-accelerated Discrete Cosine Transform–Penalized Least Squares (DCT–PLS) spatiotemporal reconstruction framework. The method fills structured gaps caused by clouds and orbital sampling by leveraging the intrinsic spatiotemporal coherence of the ocean-colour record, without requiring external predictor variables. Variables in this collection 1. Chlorophyll-a (Chl-a) — available (split into three time blocks) 2. Diffuse attenuation coefficient at 490 nm [Kd(490)] — uploading in progress 3. Remote-sensing reflectance (Rrs) — uploading in progress Download links (code and data) 1) DCT–PLS reconstruction code Link: uploading in progres 2) Chl-a (global, daily, gap-filled, 9 km) 2000–2007, Link: https://doi.org/10.5281/zenodo.17866710 2008–2015, Link: https://doi.org/10.5281/zenodo.17873692 2016–2024, Link: https://doi.org/10.5281/zenodo.17873707 3) Kd(490) (global, daily, gap-filled, 9 km) 2000–2007, Link: https://doi.org/10.5281/zenodo.18278120 2008–2015, Link: uploading in progress (link will be added once available) 2016–2024, Link: uploading in progress (link will be added once available) 4) Rrs (global, daily, gap-filled, 9 km) Rrs443: uploading in progress Rrs490: uploading in progress Rrs510: uploading in progress Rrs560: uploading in progress Rrs665: uploading in progress Recommended citation The paper detailing this specific ocean-colour reconstruction is currently under review. For now, please consider the following related work: https://doi.org/10.5194/essd-16-4793-2024 https://doi.org/10.1016/j.rse.2023.113596 Contact Email: zhangyuan_cumt@cumt.edu.cn Institution: School of Resources and Geosciences, China University of Mining and Technology, Xuzhou, China Orcid: https://orcid.org/0009-0006-0146-0385 ResearchGate: https://www.researchgate.net/profile/Yuan-Zhang-249
