Absorption coefficients by phytoplankton at the first eight Ocean Land Colour Instrument (OLCI) bands from a global in-situ collection of open ocean, coastal and inland surface waters matched to OLCI
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| Natura: | Dataset Open Access |
| Lingua: | en |
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PANGAEA
2025
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| _version_ | 1867171898824065024 |
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| author | Bracher, Astrid Soppa, Mariana A Banks, Andrew C Xi, Hongyan Chaikalis, Spyros Röttgers, Rüdiger |
| author_facet | Bracher, Astrid Soppa, Mariana A Banks, Andrew C Xi, Hongyan Chaikalis, Spyros Röttgers, Rüdiger |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | This in situ data set of absorption coefficients by phytoplankton at the first eight Ocean Land Colour Imager (OLCI) bands (centred at 400 nm 412.5 nm, 442.5 nm, 490 nm, 510 nm, 560 nm, 620 nm, 665 nm, abbreviated as aph(400), aph(412), aph(443), aph(490), aph(510), aph(560), aph(620), and aph(665)) consists of different data sets gathered together from in situ measurements collected in open, coastal, and inland surface waters spread around the globe and covering the time from first data delivery by OLCI on S3A in May 2016 until November 2022 which were matched to Ocean Land Colour Imager on Sentinel-3A and -3B and used in the paper by Bracher et al. (2025). We only used the absorption coefficient data derived from measurements on discrete water samples to ensure a similar method procedure followed and a similar uncertainty. It includes publicly available data and newly collected, measured and analysed data sets from the Phytooptics group at the Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research (AWI, PI: Astrid Bracher) and Hellenic Centre for Marine Research (HCMR, PI: Andrew C. Banks). This collection was matched that in situ data points had to fall within the 3x3 OLCI FR pixel box and a time window of + 12 hours which followed established community protocols (IOCCG 2018) and particularly EUMETSAT's OLCI matchup protocol (EUMETSAT 2022). Firstly, a pre-processing for quality control and a conversion of the considered in situ data to a common format following Valente et al. (2022) was performed. We flagged and disregarded the following data from the final quality-controlled data set which had (1) unrealistic or missing date or geographic coordinate fields, (2) poor quality (e.g., original flags) or method of observation that did not meet the criteria for the dataset (e.g., not defined in the community protocols (IOCCG 2018, 2019a, 2019b), and (3) spuriously high or low data. For the last item, the following limits were imposed: [0.0001–10] m−1 for aph(443). OLCI pixels were discarded when flagged with the recommended flags in (EUMETSAT 2022), and the remaining matchups were only considered valid if more than 50% of satellite pixels were available at remote sensing reflectance centred at band 560 nm (Rrs(560), e.g., 5 out of 9 for the 3x3 criterion) per an in situ data point, and a coefficient of variation <0.2. Dedicated matchup software developed by EUMETSAT was used to ensure that the validation process followed the established guidelines, ThoMaS (the Tool to generate Matchups of OC products with S3 OLCI https://gitlab.eumetsat.int/eumetlab/oceans/ocean-science-studies/ThoMaS). In situ data from Valente22 (see details on data sets below) were already provided at the nominal OLCI band 443 nm. All other aph(λ) data were provided in hyperspectral resolution (1nm, 2nm or around 3.3 nm resolution). Following Zibordi et al. (2023), these hyperspectral absorption coefficients were transformed to the nominal OLCI bands by averaging over the specific bandwidth. The OLCI matchup data, based on their associated RRS data at the first eight OLCI bands, were assigned to the specific optical water classes (OWCs) according to the Mélin & Vantrepotte (2015) classification. This contains 17 OWCs which range from very turbid to (OWC 1) oligotrophic to very clear waters (OWC 17). The OWC is also delivered for each matchup point (if the assignment fails the field contains "NaN". We provide also for OLCI the standard deviation of the OLCI matchup data to a in situ data point within the 3x3 pixels. For the in situ data we provide the estimate of the uncertainty for each matchup point further described in Bracher et al. (2025). |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_983241 |
| institution | PANGAEA |
| language | en |
| publishDate | 2025 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | Absorption coefficients by phytoplankton at the first eight Ocean Land Colour Instrument (OLCI) bands from a global in-situ collection of open ocean, coastal and inland surface waters matched to OLCI Bracher, Astrid Soppa, Mariana A Banks, Andrew C Xi, Hongyan Chaikalis, Spyros Röttgers, Rüdiger absorption coefficient; Absorption coefficient, phytoplankton, at 400 nm; Absorption coefficient, phytoplankton, at 400 nm, standard deviation; Absorption coefficient, phytoplankton, at 400 nm, uncertainty; Absorption coefficient, phytoplankton, at 412.5 nm; Absorption coefficient, phytoplankton, at 412.5 nm, standard deviation; Absorption coefficient, phytoplankton, at 412.5 nm, uncertainty; Absorption coefficient, phytoplankton, at 442.5 nm; Absorption coefficient, phytoplankton, at 442.5 nm, standard deviation; Absorption coefficient, phytoplankton, at 442.5 nm, uncertainty; Absorption coefficient, phytoplankton, at 490 nm; Absorption coefficient, phytoplankton, at 490 nm, standard deviation; Absorption coefficient, phytoplankton, at 490 nm, uncertainty; Absorption coefficient, phytoplankton, at 510 nm; Absorption coefficient, phytoplankton, at 510 nm, standard deviation; Absorption coefficient, phytoplankton, at 510 nm, uncertainty; Absorption coefficient, phytoplankton, at 560 nm; Absorption coefficient, phytoplankton, at 560 nm, standard deviation; Absorption coefficient, phytoplankton, at 560 nm, uncertainty; Absorption coefficient, phytoplankton, at 620 nm; Absorption coefficient, phytoplankton, at 620 nm, standard deviation; Absorption coefficient, phytoplankton, at 620 nm, uncertainty; Absorption coefficient, phytoplankton, at 665 nm; Absorption coefficient, phytoplankton, at 665 nm, standard deviation; Absorption coefficient, phytoplankton, at 665 nm, uncertainty; AC3; ANT-XXXII/2; ANT-XXXIII/4; Arctic Amplification; Atlantic; Atlantic Ocean; ATWAICE; Coefficient of variation; CT; Data source; DATE/TIME; DEPTH, water; FRAM; FRontiers in Arctic marine Monitoring; GPF 18-1_33; GPF 20-1_021; HE488; HE488-track; HE517; HE517-track; Heincke; IN2016_R2R, Reef to Rainforest; IN2016_V05; IN2016_V05-track; In situ; Investigator (2014); Island Impact; LATITUDE; LONGITUDE; Maria S. Merian; MSM93; MSM93-track; North Sea; Number of observations; Ocean Land Colour Imager; Ocean Land Colour Instrument; OLCI; optical water classification; Phytoplankton; Polarstern; Principal investigator; PS103; PS103-track; PS113; PS113-track; PS121; PS121-track; PS126; PS126-track; PS131; PS131-track; PS133/1; PS133/1-track; PS133/2; PS133/2-track; Publication of data; S3VT-OC; Sample code/label; Sentinel-3 Validation Ocean Colour; South Atlantic Ocean; Underway cruise track measurements; Uniform resource locator/link to source data file This in situ data set of absorption coefficients by phytoplankton at the first eight Ocean Land Colour Imager (OLCI) bands (centred at 400 nm 412.5 nm, 442.5 nm, 490 nm, 510 nm, 560 nm, 620 nm, 665 nm, abbreviated as aph(400), aph(412), aph(443), aph(490), aph(510), aph(560), aph(620), and aph(665)) consists of different data sets gathered together from in situ measurements collected in open, coastal, and inland surface waters spread around the globe and covering the time from first data delivery by OLCI on S3A in May 2016 until November 2022 which were matched to Ocean Land Colour Imager on Sentinel-3A and -3B and used in the paper by Bracher et al. (2025). We only used the absorption coefficient data derived from measurements on discrete water samples to ensure a similar method procedure followed and a similar uncertainty. It includes publicly available data and newly collected, measured and analysed data sets from the Phytooptics group at the Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research (AWI, PI: Astrid Bracher) and Hellenic Centre for Marine Research (HCMR, PI: Andrew C. Banks). This collection was matched that in situ data points had to fall within the 3x3 OLCI FR pixel box and a time window of + 12 hours which followed established community protocols (IOCCG 2018) and particularly EUMETSAT's OLCI matchup protocol (EUMETSAT 2022). Firstly, a pre-processing for quality control and a conversion of the considered in situ data to a common format following Valente et al. (2022) was performed. We flagged and disregarded the following data from the final quality-controlled data set which had (1) unrealistic or missing date or geographic coordinate fields, (2) poor quality (e.g., original flags) or method of observation that did not meet the criteria for the dataset (e.g., not defined in the community protocols (IOCCG 2018, 2019a, 2019b), and (3) spuriously high or low data. For the last item, the following limits were imposed: [0.0001–10] m−1 for aph(443). OLCI pixels were discarded when flagged with the recommended flags in (EUMETSAT 2022), and the remaining matchups were only considered valid if more than 50% of satellite pixels were available at remote sensing reflectance centred at band 560 nm (Rrs(560), e.g., 5 out of 9 for the 3x3 criterion) per an in situ data point, and a coefficient of variation <0.2. Dedicated matchup software developed by EUMETSAT was used to ensure that the validation process followed the established guidelines, ThoMaS (the Tool to generate Matchups of OC products with S3 OLCI https://gitlab.eumetsat.int/eumetlab/oceans/ocean-science-studies/ThoMaS). In situ data from Valente22 (see details on data sets below) were already provided at the nominal OLCI band 443 nm. All other aph(λ) data were provided in hyperspectral resolution (1nm, 2nm or around 3.3 nm resolution). Following Zibordi et al. (2023), these hyperspectral absorption coefficients were transformed to the nominal OLCI bands by averaging over the specific bandwidth. The OLCI matchup data, based on their associated RRS data at the first eight OLCI bands, were assigned to the specific optical water classes (OWCs) according to the Mélin & Vantrepotte (2015) classification. This contains 17 OWCs which range from very turbid to (OWC 1) oligotrophic to very clear waters (OWC 17). The OWC is also delivered for each matchup point (if the assignment fails the field contains "NaN". We provide also for OLCI the standard deviation of the OLCI matchup data to a in situ data point within the 3x3 pixels. For the in situ data we provide the estimate of the uncertainty for each matchup point further described in Bracher et al. (2025). |
| title | Absorption coefficients by phytoplankton at the first eight Ocean Land Colour Instrument (OLCI) bands from a global in-situ collection of open ocean, coastal and inland surface waters matched to OLCI |
| topic | absorption coefficient; Absorption coefficient, phytoplankton, at 400 nm; Absorption coefficient, phytoplankton, at 400 nm, standard deviation; Absorption coefficient, phytoplankton, at 400 nm, uncertainty; Absorption coefficient, phytoplankton, at 412.5 nm; Absorption coefficient, phytoplankton, at 412.5 nm, standard deviation; Absorption coefficient, phytoplankton, at 412.5 nm, uncertainty; Absorption coefficient, phytoplankton, at 442.5 nm; Absorption coefficient, phytoplankton, at 442.5 nm, standard deviation; Absorption coefficient, phytoplankton, at 442.5 nm, uncertainty; Absorption coefficient, phytoplankton, at 490 nm; Absorption coefficient, phytoplankton, at 490 nm, standard deviation; Absorption coefficient, phytoplankton, at 490 nm, uncertainty; Absorption coefficient, phytoplankton, at 510 nm; Absorption coefficient, phytoplankton, at 510 nm, standard deviation; Absorption coefficient, phytoplankton, at 510 nm, uncertainty; Absorption coefficient, phytoplankton, at 560 nm; Absorption coefficient, phytoplankton, at 560 nm, standard deviation; Absorption coefficient, phytoplankton, at 560 nm, uncertainty; Absorption coefficient, phytoplankton, at 620 nm; Absorption coefficient, phytoplankton, at 620 nm, standard deviation; Absorption coefficient, phytoplankton, at 620 nm, uncertainty; Absorption coefficient, phytoplankton, at 665 nm; Absorption coefficient, phytoplankton, at 665 nm, standard deviation; Absorption coefficient, phytoplankton, at 665 nm, uncertainty; AC3; ANT-XXXII/2; ANT-XXXIII/4; Arctic Amplification; Atlantic; Atlantic Ocean; ATWAICE; Coefficient of variation; CT; Data source; DATE/TIME; DEPTH, water; FRAM; FRontiers in Arctic marine Monitoring; GPF 18-1_33; GPF 20-1_021; HE488; HE488-track; HE517; HE517-track; Heincke; IN2016_R2R, Reef to Rainforest; IN2016_V05; IN2016_V05-track; In situ; Investigator (2014); Island Impact; LATITUDE; LONGITUDE; Maria S. Merian; MSM93; MSM93-track; North Sea; Number of observations; Ocean Land Colour Imager; Ocean Land Colour Instrument; OLCI; optical water classification; Phytoplankton; Polarstern; Principal investigator; PS103; PS103-track; PS113; PS113-track; PS121; PS121-track; PS126; PS126-track; PS131; PS131-track; PS133/1; PS133/1-track; PS133/2; PS133/2-track; Publication of data; S3VT-OC; Sample code/label; Sentinel-3 Validation Ocean Colour; South Atlantic Ocean; Underway cruise track measurements; Uniform resource locator/link to source data file |
| url | https://doi.org/10.1594/PANGAEA.983241 |