Sea ice algae chlorophyll a concentrations derived from under-ice spectral radiation profiling platforms
Multiscale sea ice algae observations are fundamentally important for projecting changes to sea ice ecosystems, as the physical environment continues to change. In this study, we developed upon previously established methodologies for deriving sea ice-algal chlorophyll a concentrations (chl a) from...
Published in: | Journal of Geophysical Research: Oceans |
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Online Access: | https://epic.awi.de/id/eprint/46179/ https://epic.awi.de/id/eprint/46179/1/Lange-2016-jgr_spectral.pdf https://doi.org/10.1002/2016JC011991 https://hdl.handle.net/10013/epic.6215b7af-39c3-481a-8c73-e5311122e276 https://hdl.handle.net/ |
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ftawi:oai:epic.awi.de:46179 2023-05-15T15:10:49+02:00 Sea ice algae chlorophyll a concentrations derived from under-ice spectral radiation profiling platforms Lange, Benjamin A. Katlein, Christian Nicolaus, Marcel Peeken, Ilka Flores, Hauke 2016 application/pdf https://epic.awi.de/id/eprint/46179/ https://epic.awi.de/id/eprint/46179/1/Lange-2016-jgr_spectral.pdf https://doi.org/10.1002/2016JC011991 https://hdl.handle.net/10013/epic.6215b7af-39c3-481a-8c73-e5311122e276 https://hdl.handle.net/ unknown https://epic.awi.de/id/eprint/46179/1/Lange-2016-jgr_spectral.pdf https://hdl.handle.net/ Lange, B. A. , Katlein, C. orcid:0000-0003-2422-0414 , Nicolaus, M. orcid:0000-0003-0903-1746 , Peeken, I. orcid:0000-0003-1531-1664 and Flores, H. orcid:0000-0003-1617-5449 (2016) Sea ice algae chlorophyll a concentrations derived from under-ice spectral radiation profiling platforms , Journal of Geophysical Research: Oceans, 121 (12), pp. 8511-8534 . doi:10.1002/2016JC011991 <https://doi.org/10.1002/2016JC011991> , hdl:10013/epic.6215b7af-39c3-481a-8c73-e5311122e276 EPIC3Journal of Geophysical Research: Oceans, 121(12), pp. 8511-8534, ISSN: 21699275 Article isiRev 2016 ftawi https://doi.org/10.1002/2016JC011991 2022-11-14T00:12:56Z Multiscale sea ice algae observations are fundamentally important for projecting changes to sea ice ecosystems, as the physical environment continues to change. In this study, we developed upon previously established methodologies for deriving sea ice-algal chlorophyll a concentrations (chl a) from spectral radiation measurements, and applied these to larger-scale spectral surveys. We conducted four different under-ice spectral measurements: irradiance, radiance, transmittance, and transflectance, and applied three statistical approaches: Empirical Orthogonal Functions (EOF), Normalized Difference Indices (NDI), and multi-NDI. We developed models based on ice core chl a and coincident spectral irradiance/transmittance (N549) and radiance/transflectance (N550) measurements conducted during two cruises to the central Arctic Ocean in 2011 and 2012. These reference models were ranked based on two criteria: mean robustness R2 and true prediction error estimates. For estimating the biomass of a large-scale data set, the EOF approach performed better than the NDI, due to its ability to account for the high variability of environmental properties experienced over large areas. Based on robustness and true prediction error, the three most reliable models, EOF-transmittance, EOF-transflectance, and NDI-transmittance, were applied to two remotely operated vehicle (ROV) and two Surface and Under-Ice Trawl (SUIT) spectral radiation surveys. In these larger-scale chl a estimates, EOF-transmittance showed the best fit to ice core chl a. Application of our most reliable model, EOF-transmittance, to an 85 m horizontal ROV transect revealed large differences compared to published biomass estimates from the same site with important implications for projections of Arcticwide ice-algal biomass and primary production. Article in Journal/Newspaper Arctic Arctic Ocean ice algae ice core Sea ice Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) Arctic Arctic Ocean Journal of Geophysical Research: Oceans 121 12 8511 8534 |
institution |
Open Polar |
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Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) |
op_collection_id |
ftawi |
language |
unknown |
description |
Multiscale sea ice algae observations are fundamentally important for projecting changes to sea ice ecosystems, as the physical environment continues to change. In this study, we developed upon previously established methodologies for deriving sea ice-algal chlorophyll a concentrations (chl a) from spectral radiation measurements, and applied these to larger-scale spectral surveys. We conducted four different under-ice spectral measurements: irradiance, radiance, transmittance, and transflectance, and applied three statistical approaches: Empirical Orthogonal Functions (EOF), Normalized Difference Indices (NDI), and multi-NDI. We developed models based on ice core chl a and coincident spectral irradiance/transmittance (N549) and radiance/transflectance (N550) measurements conducted during two cruises to the central Arctic Ocean in 2011 and 2012. These reference models were ranked based on two criteria: mean robustness R2 and true prediction error estimates. For estimating the biomass of a large-scale data set, the EOF approach performed better than the NDI, due to its ability to account for the high variability of environmental properties experienced over large areas. Based on robustness and true prediction error, the three most reliable models, EOF-transmittance, EOF-transflectance, and NDI-transmittance, were applied to two remotely operated vehicle (ROV) and two Surface and Under-Ice Trawl (SUIT) spectral radiation surveys. In these larger-scale chl a estimates, EOF-transmittance showed the best fit to ice core chl a. Application of our most reliable model, EOF-transmittance, to an 85 m horizontal ROV transect revealed large differences compared to published biomass estimates from the same site with important implications for projections of Arcticwide ice-algal biomass and primary production. |
format |
Article in Journal/Newspaper |
author |
Lange, Benjamin A. Katlein, Christian Nicolaus, Marcel Peeken, Ilka Flores, Hauke |
spellingShingle |
Lange, Benjamin A. Katlein, Christian Nicolaus, Marcel Peeken, Ilka Flores, Hauke Sea ice algae chlorophyll a concentrations derived from under-ice spectral radiation profiling platforms |
author_facet |
Lange, Benjamin A. Katlein, Christian Nicolaus, Marcel Peeken, Ilka Flores, Hauke |
author_sort |
Lange, Benjamin A. |
title |
Sea ice algae chlorophyll a concentrations derived from under-ice spectral radiation profiling platforms |
title_short |
Sea ice algae chlorophyll a concentrations derived from under-ice spectral radiation profiling platforms |
title_full |
Sea ice algae chlorophyll a concentrations derived from under-ice spectral radiation profiling platforms |
title_fullStr |
Sea ice algae chlorophyll a concentrations derived from under-ice spectral radiation profiling platforms |
title_full_unstemmed |
Sea ice algae chlorophyll a concentrations derived from under-ice spectral radiation profiling platforms |
title_sort |
sea ice algae chlorophyll a concentrations derived from under-ice spectral radiation profiling platforms |
publishDate |
2016 |
url |
https://epic.awi.de/id/eprint/46179/ https://epic.awi.de/id/eprint/46179/1/Lange-2016-jgr_spectral.pdf https://doi.org/10.1002/2016JC011991 https://hdl.handle.net/10013/epic.6215b7af-39c3-481a-8c73-e5311122e276 https://hdl.handle.net/ |
geographic |
Arctic Arctic Ocean |
geographic_facet |
Arctic Arctic Ocean |
genre |
Arctic Arctic Ocean ice algae ice core Sea ice |
genre_facet |
Arctic Arctic Ocean ice algae ice core Sea ice |
op_source |
EPIC3Journal of Geophysical Research: Oceans, 121(12), pp. 8511-8534, ISSN: 21699275 |
op_relation |
https://epic.awi.de/id/eprint/46179/1/Lange-2016-jgr_spectral.pdf https://hdl.handle.net/ Lange, B. A. , Katlein, C. orcid:0000-0003-2422-0414 , Nicolaus, M. orcid:0000-0003-0903-1746 , Peeken, I. orcid:0000-0003-1531-1664 and Flores, H. orcid:0000-0003-1617-5449 (2016) Sea ice algae chlorophyll a concentrations derived from under-ice spectral radiation profiling platforms , Journal of Geophysical Research: Oceans, 121 (12), pp. 8511-8534 . doi:10.1002/2016JC011991 <https://doi.org/10.1002/2016JC011991> , hdl:10013/epic.6215b7af-39c3-481a-8c73-e5311122e276 |
op_doi |
https://doi.org/10.1002/2016JC011991 |
container_title |
Journal of Geophysical Research: Oceans |
container_volume |
121 |
container_issue |
12 |
container_start_page |
8511 |
op_container_end_page |
8534 |
_version_ |
1766341768478982144 |