Statistical validation of a 3-D bio-physical model of the western North Atlantic
High-resolution, physical-biological models of coastal and shelf regions typically use a single functional phytoplankton group, which limits their ability to represent ecological gradients (e.g. highly productive shelf systems adjacent to oligotrophic regions), as these are dominated by different fu...
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ftdoajarticles:oai:doaj.org/article:871db2c11d0246758ca9a1afdada9327 2023-05-15T17:33:43+02:00 Statistical validation of a 3-D bio-physical model of the western North Atlantic M. K. Lehmann K. Fennel R. He 2009-10-01T00:00:00Z https://doaj.org/article/871db2c11d0246758ca9a1afdada9327 EN eng Copernicus Publications http://www.biogeosciences.net/6/1961/2009/bg-6-1961-2009.pdf https://doaj.org/toc/1726-4170 https://doaj.org/toc/1726-4189 1726-4170 1726-4189 https://doaj.org/article/871db2c11d0246758ca9a1afdada9327 Biogeosciences, Vol 6, Iss 10, Pp 1961-1974 (2009) Ecology QH540-549.5 Life QH501-531 Geology QE1-996.5 article 2009 ftdoajarticles 2022-12-31T11:57:37Z High-resolution, physical-biological models of coastal and shelf regions typically use a single functional phytoplankton group, which limits their ability to represent ecological gradients (e.g. highly productive shelf systems adjacent to oligotrophic regions), as these are dominated by different functional phytoplankton groups. We implemented a size-structured ecosystem model in a high-resolution, regional circulation model of the northeast North American shelf and adjacent deep ocean in order to assess whether the added functional complexity of two functional phytoplankton groups improves the model's ability to represent surface chlorophyll concentrations along an ecological gradient encompassing five distinct regions. We used satellite-derived SST and sea-surface chlorophyll for our model assessment, as these allow investigation of spatial variability and temporal variations from monthly to interannual, and analyzed three complimentary statistical measures of model-data agreement: model bias, root mean square error and model efficiency (or skill). All three measures were integrated for the whole domain, for distinct subregions and were calculated in a spatially explicit manner. Comparison with a previously published simulation that used a model with a single phytoplankton functional group indicates that the inclusion of an additional phytoplankton group representing picoplankton markedly improves the model's skill. Article in Journal/Newspaper North Atlantic Directory of Open Access Journals: DOAJ Articles |
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 M. K. Lehmann K. Fennel R. He Statistical validation of a 3-D bio-physical model of the western North Atlantic |
topic_facet |
Ecology QH540-549.5 Life QH501-531 Geology QE1-996.5 |
description |
High-resolution, physical-biological models of coastal and shelf regions typically use a single functional phytoplankton group, which limits their ability to represent ecological gradients (e.g. highly productive shelf systems adjacent to oligotrophic regions), as these are dominated by different functional phytoplankton groups. We implemented a size-structured ecosystem model in a high-resolution, regional circulation model of the northeast North American shelf and adjacent deep ocean in order to assess whether the added functional complexity of two functional phytoplankton groups improves the model's ability to represent surface chlorophyll concentrations along an ecological gradient encompassing five distinct regions. We used satellite-derived SST and sea-surface chlorophyll for our model assessment, as these allow investigation of spatial variability and temporal variations from monthly to interannual, and analyzed three complimentary statistical measures of model-data agreement: model bias, root mean square error and model efficiency (or skill). All three measures were integrated for the whole domain, for distinct subregions and were calculated in a spatially explicit manner. Comparison with a previously published simulation that used a model with a single phytoplankton functional group indicates that the inclusion of an additional phytoplankton group representing picoplankton markedly improves the model's skill. |
format |
Article in Journal/Newspaper |
author |
M. K. Lehmann K. Fennel R. He |
author_facet |
M. K. Lehmann K. Fennel R. He |
author_sort |
M. K. Lehmann |
title |
Statistical validation of a 3-D bio-physical model of the western North Atlantic |
title_short |
Statistical validation of a 3-D bio-physical model of the western North Atlantic |
title_full |
Statistical validation of a 3-D bio-physical model of the western North Atlantic |
title_fullStr |
Statistical validation of a 3-D bio-physical model of the western North Atlantic |
title_full_unstemmed |
Statistical validation of a 3-D bio-physical model of the western North Atlantic |
title_sort |
statistical validation of a 3-d bio-physical model of the western north atlantic |
publisher |
Copernicus Publications |
publishDate |
2009 |
url |
https://doaj.org/article/871db2c11d0246758ca9a1afdada9327 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
Biogeosciences, Vol 6, Iss 10, Pp 1961-1974 (2009) |
op_relation |
http://www.biogeosciences.net/6/1961/2009/bg-6-1961-2009.pdf https://doaj.org/toc/1726-4170 https://doaj.org/toc/1726-4189 1726-4170 1726-4189 https://doaj.org/article/871db2c11d0246758ca9a1afdada9327 |
_version_ |
1766132312861310976 |