Sentinel-3 OLCI daily averaged earth observation data of water constituents, North and Baltic Seas, June 2023 - September 2023 (Version 2)

hdl:21.14106/b56c0cf230e2104ddba8cf3c8c7c7d86317dff9a

Hieronymi, Martin; Bi, Shun; Behr, Daniel

Dataset
Summary
[ Derived from parent entry - See data hierarchy tab ]

Satellite remote sensing enables global monitoring of water quality in freshwater and marine ecosystems. However, consistent data quality is a challenge due to variations in the performance of used algorithms for different waters. In this exemplary dataset, we use a novel approach for atmospheric correction and retrieval for water quality characteristics in inland waters, coastal areas, and the open sea. Copernicus Sentinel-3 OLCI satellite images are processed with the Atmospheric Correction for Optical Water Types, A4O [Hieronymi et al. in prep & 2023], and the water algorithm OLCI Neural Network Swarm, ONNS [Hieronymi et al., 2017]. ONNS derives inherent optical properties (IOPs) from which the concentrations of water constituents are estimated. In addition, the results of an Optical Water Type (OWT) classification based on A4O reflectances are provided [Bi and Hieronymi, 2024]. All available satellite data of a day for the region of interest are merged in a common grid at approximately original resolution.
An overview of the variables in the dataset can be found in the Additional Information; a detailed description of the contents and background, as well as an optical analysis of the waters, can be found in Hieronymi et al. [2025].
Version 2 of the dataset has the license and some metadata corrected. Data itself remains unchanged.
Project
AquaINFRA (AquaINFRA)
Additional Information
Sentinel-3 OLCI daily averaged earth observation data of water constituents - List of Variables (Version 2)
Spatial Coverage
Longitude -4.48 to 30.3 Latitude 48.98 to 65.9
Temporal Coverage
2023-06-01 to 2023-09-30
Use constraints
Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/)
Data Catalog
World Data Center for Climate
Access constraints
registered users
Size
365.16 GiB (392083205596 Byte)
Format
NetCDF
Status
completely archived
Creation Date
Future Review Date
2035-09-11
Download Permission
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Preview data headers
Cite as
[ Derived from parent entry - See data hierarchy tab ]
Hieronymi, Martin; Bi, Shun; Behr, Daniel (2025). Sentinel-3 OLCI daily averaged earth observation data of water constituents (Version 2). World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/AquaINFRA_Sentinel3_v2

BibTeX RIS

References

[1] DOI Hieronymi, Martin; Müller, Dagmar; Doerffer, Roland. (2017). The OLCI Neural Network Swarm (ONNS): A Bio-Geo-Optical Algorithm for Open Ocean and Coastal Waters. doi:10.3389/fmars.2017.00140
[2] DOI Bi, Shun; Hieronymi, Martin. (2024). Holistic optical water type classification for ocean, coastal, and inland waters. doi:10.1002/lno.12606
[3] DOI Hieronymi, Martin; Bi, Shun; Müller, Dagmar; Schütt, Eike M.; Behr, Daniel; Brockmann, Carsten; Lebreton, Carole; Steinmetz, François; Stelzer, Kerstin; Vanhellemont, Quinten. (2023). Ocean color atmospheric correction methods in view of usability for different optical water types. doi:10.3389/fmars.2023.1129876
[4] DOI Hieronymi, Martin; Behr, Daniel; Bi, Shun; Röttgers, Rüdiger. (2025). Optical complexity of North Sea, Baltic Sea, and adjacent coastal and inland waters derived from satellite data. doi:10.5194/essd-2025-443

Parent

Sentinel-3 OLCI daily averaged earth observation data of water constituents (Version 2)
Details

Parent project(s)

AquaINFRA

[Entry acronym: AquaINFRA_Sentinel3_v2_ds] [Entry id: 5311407]