Assimilating bio-optical glider data during a phytoplankton bloom in the southern Ross Sea
The Ross Sea is a region characterized by high primary productivity in comparison to other Antarctic coastal regions, and its productivity is marked by considerable variability both spatially (1–50 km) and temporally (days to weeks). This variability presents a challenge for inferring phytoplankton...
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ftdoajarticles:oai:doaj.org/article:2ed4887f0d16411aa7cc68bf057f360d 2023-05-15T13:48:14+02:00 Assimilating bio-optical glider data during a phytoplankton bloom in the southern Ross Sea D. E. Kaufman M. A. M. Friedrichs J. C. P. Hemmings W. O. Smith Jr. 2018-01-01T00:00:00Z https://doi.org/10.5194/bg-15-73-2018 https://doaj.org/article/2ed4887f0d16411aa7cc68bf057f360d EN eng Copernicus Publications https://www.biogeosciences.net/15/73/2018/bg-15-73-2018.pdf https://doaj.org/toc/1726-4170 https://doaj.org/toc/1726-4189 doi:10.5194/bg-15-73-2018 1726-4170 1726-4189 https://doaj.org/article/2ed4887f0d16411aa7cc68bf057f360d Biogeosciences, Vol 15, Pp 73-90 (2018) Ecology QH540-549.5 Life QH501-531 Geology QE1-996.5 article 2018 ftdoajarticles https://doi.org/10.5194/bg-15-73-2018 2022-12-31T14:48:21Z The Ross Sea is a region characterized by high primary productivity in comparison to other Antarctic coastal regions, and its productivity is marked by considerable variability both spatially (1–50 km) and temporally (days to weeks). This variability presents a challenge for inferring phytoplankton dynamics from observations that are limited in time or space, which is often the case due to logistical limitations of sampling. To better understand the spatiotemporal variability in Ross Sea phytoplankton dynamics and to determine how restricted sampling may skew dynamical interpretations, high-resolution bio-optical glider measurements were assimilated into a one-dimensional biogeochemical model adapted for the Ross Sea. The assimilation of data from the entire glider track using the micro-genetic and local search algorithms in the Marine Model Optimization Testbed improves the model–data fit by ∼ 50 %, generating rates of integrated primary production of 104 g C m −2 yr −1 and export at 200 m of 27 g C m −2 yr −1 . Assimilating glider data from three different latitudinal bands and three different longitudinal bands results in minimal changes to the simulations, improves the model–data fit with respect to unassimilated data by ∼ 35 %, and confirms that analyzing these glider observations as a time series via a one-dimensional model is reasonable on these scales. Whereas assimilating the full glider data set produces well-constrained simulations, assimilating subsampled glider data at a frequency consistent with cruise-based sampling results in a wide range of primary production and export estimates. These estimates depend strongly on the timing of the assimilated observations, due to the presence of high mesoscale variability in this region. Assimilating surface glider data subsampled at a frequency consistent with available satellite-derived data results in 40 % lower carbon export, primarily resulting from optimized rates generating more slowly sinking diatoms. This analysis highlights the need for the strategic ... Article in Journal/Newspaper Antarc* Antarctic Ross Sea Directory of Open Access Journals: DOAJ Articles Antarctic Ross Sea Biogeosciences 15 1 73 90 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Ecology QH540-549.5 Life QH501-531 Geology QE1-996.5 |
spellingShingle |
Ecology QH540-549.5 Life QH501-531 Geology QE1-996.5 D. E. Kaufman M. A. M. Friedrichs J. C. P. Hemmings W. O. Smith Jr. Assimilating bio-optical glider data during a phytoplankton bloom in the southern Ross Sea |
topic_facet |
Ecology QH540-549.5 Life QH501-531 Geology QE1-996.5 |
description |
The Ross Sea is a region characterized by high primary productivity in comparison to other Antarctic coastal regions, and its productivity is marked by considerable variability both spatially (1–50 km) and temporally (days to weeks). This variability presents a challenge for inferring phytoplankton dynamics from observations that are limited in time or space, which is often the case due to logistical limitations of sampling. To better understand the spatiotemporal variability in Ross Sea phytoplankton dynamics and to determine how restricted sampling may skew dynamical interpretations, high-resolution bio-optical glider measurements were assimilated into a one-dimensional biogeochemical model adapted for the Ross Sea. The assimilation of data from the entire glider track using the micro-genetic and local search algorithms in the Marine Model Optimization Testbed improves the model–data fit by ∼ 50 %, generating rates of integrated primary production of 104 g C m −2 yr −1 and export at 200 m of 27 g C m −2 yr −1 . Assimilating glider data from three different latitudinal bands and three different longitudinal bands results in minimal changes to the simulations, improves the model–data fit with respect to unassimilated data by ∼ 35 %, and confirms that analyzing these glider observations as a time series via a one-dimensional model is reasonable on these scales. Whereas assimilating the full glider data set produces well-constrained simulations, assimilating subsampled glider data at a frequency consistent with cruise-based sampling results in a wide range of primary production and export estimates. These estimates depend strongly on the timing of the assimilated observations, due to the presence of high mesoscale variability in this region. Assimilating surface glider data subsampled at a frequency consistent with available satellite-derived data results in 40 % lower carbon export, primarily resulting from optimized rates generating more slowly sinking diatoms. This analysis highlights the need for the strategic ... |
format |
Article in Journal/Newspaper |
author |
D. E. Kaufman M. A. M. Friedrichs J. C. P. Hemmings W. O. Smith Jr. |
author_facet |
D. E. Kaufman M. A. M. Friedrichs J. C. P. Hemmings W. O. Smith Jr. |
author_sort |
D. E. Kaufman |
title |
Assimilating bio-optical glider data during a phytoplankton bloom in the southern Ross Sea |
title_short |
Assimilating bio-optical glider data during a phytoplankton bloom in the southern Ross Sea |
title_full |
Assimilating bio-optical glider data during a phytoplankton bloom in the southern Ross Sea |
title_fullStr |
Assimilating bio-optical glider data during a phytoplankton bloom in the southern Ross Sea |
title_full_unstemmed |
Assimilating bio-optical glider data during a phytoplankton bloom in the southern Ross Sea |
title_sort |
assimilating bio-optical glider data during a phytoplankton bloom in the southern ross sea |
publisher |
Copernicus Publications |
publishDate |
2018 |
url |
https://doi.org/10.5194/bg-15-73-2018 https://doaj.org/article/2ed4887f0d16411aa7cc68bf057f360d |
geographic |
Antarctic Ross Sea |
geographic_facet |
Antarctic Ross Sea |
genre |
Antarc* Antarctic Ross Sea |
genre_facet |
Antarc* Antarctic Ross Sea |
op_source |
Biogeosciences, Vol 15, Pp 73-90 (2018) |
op_relation |
https://www.biogeosciences.net/15/73/2018/bg-15-73-2018.pdf https://doaj.org/toc/1726-4170 https://doaj.org/toc/1726-4189 doi:10.5194/bg-15-73-2018 1726-4170 1726-4189 https://doaj.org/article/2ed4887f0d16411aa7cc68bf057f360d |
op_doi |
https://doi.org/10.5194/bg-15-73-2018 |
container_title |
Biogeosciences |
container_volume |
15 |
container_issue |
1 |
container_start_page |
73 |
op_container_end_page |
90 |
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1766249018168442880 |