Phytoplankton functional types from multi-sensor satellite observations – towards a long-term monitoring (2002-2020)

Phytoplankton in the sunlit layer of the ocean act as the base of the marine food web fueling fisheries, and also regulate key biogeochemical processes such as exporting carbon to the deep ocean. Phytoplankton composition structure varies in ocean biomes and different phytoplankton groups drive diff...

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Main Authors: Xi, Hongyan, Peeken, Ilka, Bretagnon, Marine, Brotas, Vanda, Gomes, Mara, Alvarado, Leonardo, Lampe, Vanessa, Losa, Svetlana N., Mangin, Antoine, Metfies, Katja, Nöthig, Eva-Maria, Bracher, Astrid
Format: Conference Object
Language:unknown
Published: 2022
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Online Access:https://epic.awi.de/id/eprint/55867/
https://epic.awi.de/id/eprint/55867/1/Xi_et_al_OSM2022_PFT_evaluation_timeseries.pdf
https://hdl.handle.net/10013/epic.83471b3a-5cad-4c2e-9f56-26c01d95f409
id ftawi:oai:epic.awi.de:55867
record_format openpolar
spelling ftawi:oai:epic.awi.de:55867 2024-09-15T18:07:02+00:00 Phytoplankton functional types from multi-sensor satellite observations – towards a long-term monitoring (2002-2020) Xi, Hongyan Peeken, Ilka Bretagnon, Marine Brotas, Vanda Gomes, Mara Alvarado, Leonardo Lampe, Vanessa Losa, Svetlana N. Mangin, Antoine Metfies, Katja Nöthig, Eva-Maria Bracher, Astrid 2022-02-28 application/pdf https://epic.awi.de/id/eprint/55867/ https://epic.awi.de/id/eprint/55867/1/Xi_et_al_OSM2022_PFT_evaluation_timeseries.pdf https://hdl.handle.net/10013/epic.83471b3a-5cad-4c2e-9f56-26c01d95f409 unknown https://epic.awi.de/id/eprint/55867/1/Xi_et_al_OSM2022_PFT_evaluation_timeseries.pdf Xi, H. orcid:0000-0003-2827-0603 , Peeken, I. orcid:0000-0003-1531-1664 , Bretagnon, M. , Brotas, V. , Gomes, M. , Alvarado, L. orcid:0000-0002-4802-3872 , Lampe, V. , Losa, S. N. orcid:0000-0003-2153-1954 , Mangin, A. , Metfies, K. orcid:0000-0003-3073-8033 , Nöthig, E. M. orcid:0000-0002-7527-7827 and Bracher, A. orcid:0000-0003-3025-5517 (2022) Phytoplankton functional types from multi-sensor satellite observations – towards a long-term monitoring (2002-2020) , Ocean Science Meeting 2022, 24 February 2022 - 4 March 2022 . hdl:10013/epic.83471b3a-5cad-4c2e-9f56-26c01d95f409 EPIC3Ocean Science Meeting 2022, 2022-02-24-2022-03-04 Conference notRev info:eu-repo/semantics/conferenceObject 2022 ftawi 2024-06-24T04:28:46Z Phytoplankton in the sunlit layer of the ocean act as the base of the marine food web fueling fisheries, and also regulate key biogeochemical processes such as exporting carbon to the deep ocean. Phytoplankton composition structure varies in ocean biomes and different phytoplankton groups drive differently the marine ecosystem. As one of the algorithms deriving phytoplankton composition from space borne data, within the framework of the EU Copernicus Marine Service (CMEMS), OLCI-PFT algorithm was developed using multi-spectral satellite data collocated to an extensive in-situ PFT data set based on HPLC pigments and sea surface temperature data (Xi et al. 2020, 2021). It provides global PFT retrievals including chlorophyll a estimations of diatoms, haptophytes, dinoflagellates, chlorophytes and prokaryotic phytoplankton spanning the period from 2002 until today, by using multi-sensor merged products and OLCI data. These PFT products with per-pixel uncertainty are publicly available on the CMEMS. Due to different lifespans and radiometric characteristics of the ocean color sensors, it is crucial to evaluate the CMEMS PFT products to provide quality-assured data for a consistent long-term monitoring of the phytoplankton community structure. In this study, using in-situ phytoplankton data (HPLC pigment data further evaluated with microscopic, flow cytometry, molecular and hyperspectral optical data) collected from expeditions since 2009 in the tropical, temperate and polar (mainly Fram Strait within the PEBCAO network) regions, we aim to 1) validate the CMEMS PFT products and investigate the continuity of the PFTs data derived from different satellites, and 2) deliver two-decade consistent PFT products for times series analysis. For the latter we determine inter-annual trends and variation of the surface phytoplankton community structure targeting some key sub-regions (e.g.,east Fram Strait) that have been observed being influenced by the changing marine environment. Conference Object Fram Strait Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center)
institution Open Polar
collection Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center)
op_collection_id ftawi
language unknown
description Phytoplankton in the sunlit layer of the ocean act as the base of the marine food web fueling fisheries, and also regulate key biogeochemical processes such as exporting carbon to the deep ocean. Phytoplankton composition structure varies in ocean biomes and different phytoplankton groups drive differently the marine ecosystem. As one of the algorithms deriving phytoplankton composition from space borne data, within the framework of the EU Copernicus Marine Service (CMEMS), OLCI-PFT algorithm was developed using multi-spectral satellite data collocated to an extensive in-situ PFT data set based on HPLC pigments and sea surface temperature data (Xi et al. 2020, 2021). It provides global PFT retrievals including chlorophyll a estimations of diatoms, haptophytes, dinoflagellates, chlorophytes and prokaryotic phytoplankton spanning the period from 2002 until today, by using multi-sensor merged products and OLCI data. These PFT products with per-pixel uncertainty are publicly available on the CMEMS. Due to different lifespans and radiometric characteristics of the ocean color sensors, it is crucial to evaluate the CMEMS PFT products to provide quality-assured data for a consistent long-term monitoring of the phytoplankton community structure. In this study, using in-situ phytoplankton data (HPLC pigment data further evaluated with microscopic, flow cytometry, molecular and hyperspectral optical data) collected from expeditions since 2009 in the tropical, temperate and polar (mainly Fram Strait within the PEBCAO network) regions, we aim to 1) validate the CMEMS PFT products and investigate the continuity of the PFTs data derived from different satellites, and 2) deliver two-decade consistent PFT products for times series analysis. For the latter we determine inter-annual trends and variation of the surface phytoplankton community structure targeting some key sub-regions (e.g.,east Fram Strait) that have been observed being influenced by the changing marine environment.
format Conference Object
author Xi, Hongyan
Peeken, Ilka
Bretagnon, Marine
Brotas, Vanda
Gomes, Mara
Alvarado, Leonardo
Lampe, Vanessa
Losa, Svetlana N.
Mangin, Antoine
Metfies, Katja
Nöthig, Eva-Maria
Bracher, Astrid
spellingShingle Xi, Hongyan
Peeken, Ilka
Bretagnon, Marine
Brotas, Vanda
Gomes, Mara
Alvarado, Leonardo
Lampe, Vanessa
Losa, Svetlana N.
Mangin, Antoine
Metfies, Katja
Nöthig, Eva-Maria
Bracher, Astrid
Phytoplankton functional types from multi-sensor satellite observations – towards a long-term monitoring (2002-2020)
author_facet Xi, Hongyan
Peeken, Ilka
Bretagnon, Marine
Brotas, Vanda
Gomes, Mara
Alvarado, Leonardo
Lampe, Vanessa
Losa, Svetlana N.
Mangin, Antoine
Metfies, Katja
Nöthig, Eva-Maria
Bracher, Astrid
author_sort Xi, Hongyan
title Phytoplankton functional types from multi-sensor satellite observations – towards a long-term monitoring (2002-2020)
title_short Phytoplankton functional types from multi-sensor satellite observations – towards a long-term monitoring (2002-2020)
title_full Phytoplankton functional types from multi-sensor satellite observations – towards a long-term monitoring (2002-2020)
title_fullStr Phytoplankton functional types from multi-sensor satellite observations – towards a long-term monitoring (2002-2020)
title_full_unstemmed Phytoplankton functional types from multi-sensor satellite observations – towards a long-term monitoring (2002-2020)
title_sort phytoplankton functional types from multi-sensor satellite observations – towards a long-term monitoring (2002-2020)
publishDate 2022
url https://epic.awi.de/id/eprint/55867/
https://epic.awi.de/id/eprint/55867/1/Xi_et_al_OSM2022_PFT_evaluation_timeseries.pdf
https://hdl.handle.net/10013/epic.83471b3a-5cad-4c2e-9f56-26c01d95f409
genre Fram Strait
genre_facet Fram Strait
op_source EPIC3Ocean Science Meeting 2022, 2022-02-24-2022-03-04
op_relation https://epic.awi.de/id/eprint/55867/1/Xi_et_al_OSM2022_PFT_evaluation_timeseries.pdf
Xi, H. orcid:0000-0003-2827-0603 , Peeken, I. orcid:0000-0003-1531-1664 , Bretagnon, M. , Brotas, V. , Gomes, M. , Alvarado, L. orcid:0000-0002-4802-3872 , Lampe, V. , Losa, S. N. orcid:0000-0003-2153-1954 , Mangin, A. , Metfies, K. orcid:0000-0003-3073-8033 , Nöthig, E. M. orcid:0000-0002-7527-7827 and Bracher, A. orcid:0000-0003-3025-5517 (2022) Phytoplankton functional types from multi-sensor satellite observations – towards a long-term monitoring (2002-2020) , Ocean Science Meeting 2022, 24 February 2022 - 4 March 2022 . hdl:10013/epic.83471b3a-5cad-4c2e-9f56-26c01d95f409
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