Sentinel-3 OLCI daily averaged earth observation data of water constituents

doi:10.26050/WDCC/AquaINFRA_Sentinel3

Hieronymi, Martin; Bi, Shun; Behr, Daniel

ExperimentDOI
Summary
Sentinel-3 OLCI images 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.

Information about the variables are given in the attached Additional Info.
Project
AquaINFRA (AquaINFRA)
Contact
Dr. Martin Hieronymi (
 martin.hieronymi@nullhereon.de
0000-0001-6066-1562)
Location(s)
Baltic and North Sea
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-ShareAlike 4.0 International License (CC BY-SA 4.0) (https://creativecommons.org/licenses/by-sa/4.0/)
Data Catalog
World Data Center for Climate
Size
365.16 GiB (392083113396 Byte)
Format
NetCDF
Status
completely archived
Creation Date
Future Review Date
2034-11-29
Cite as
Hieronymi, Martin; Bi, Shun; Behr, Daniel (2024). Sentinel-3 OLCI daily averaged earth observation data of water constituents. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/AquaINFRA_Sentinel3

BibTeX RIS
Description
Summary:
Findable: 6 of 7 level;
Accessible: 2 of 3 level;
Interoperable: 3 of 4 level;
Reusable: 5 of 10 level
Method
F-UJI online v3.4.0 automated
Method Description
Checks performed by WDCC. Metrics documentation: https://doi.org/10.5281/zenodo.4081213 Metric Version: metrics_v0.5
Result Date
2024-12-18
Result Date
2024-12-18
Description
1. Number of data sets is correct and > 0: passed;
2. Size of every data set is > 0: passed;
3. The data sets and corresponding metadata are accessible: passed;
4. The data sizes are controlled and correct: passed;
5. The spatial-temporal coverage description (metadata) is consistent to the data: passed;
6. The format is correct: passed;
Method
WDCC-TQA checklist
Method Description
Checks performed by WDCC. The list of TQA metrics are documented in the 'WDCC User Guide for Data Publication' Chapter 8.1.1
Method Url
Result Date
2024-12-18
Contact typePersonORCIDOrganization
-

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

Is derived from

[1] ESA, EUMETSAT. (2024). Sentinel-3 High-quality ocean and atmosphere measurements. https://dataspace.copernicus.eu/explore-data/data-collections/sentinel-data/sentinel-3

Attached Datasets ( 1 )

Details for selected entry

Additional Info

Details for selected entry

Parent project(s)

AquaINFRA

[Entry acronym: AquaINFRA_Sentinel3] [Entry id: 5282063]