Assessment of seasonal and decadal signals in the in-situ Atlantic plankton data ...
No abstracts are to be cited without prior reference to the author.Combining in-situ plankton time series data sets from different research cruises over an oceanAtlantic scale is particularly challenging. Specifically creating a knowledge base that enables statistical analysis of seasonal and the lo...
| Main Authors: | , , , , , , , , , |
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| Format: | Conference Object |
| Language: | unknown |
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ASC 2012 - Theme session R
2024
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| Subjects: | |
| Online Access: | https://dx.doi.org/10.17895/ices.pub.24974841.v1 https://ices-library.figshare.com/articles/conference_contribution/Assessment_of_seasonal_and_decadal_signals_in_the_in-situ_Atlantic_plankton_data/24974841/1 |
| Summary: | No abstracts are to be cited without prior reference to the author.Combining in-situ plankton time series data sets from different research cruises over an oceanAtlantic scale is particularly challenging. Specifically creating a knowledge base that enables statistical analysis of seasonal and the longer term structure and function of the planktonic presents two challenges: 1) subsampling: the underlying trends are not completely represented as not all measures are regularly sampled over time (months & years), and 2) measurement protocols: scientific protocols for individual research expeditions need to be harmonised so that representative long term time series can be constructed. We present the current learning from combining in-situ data across Arctic (1913+), Atlantic (1985+) and Southern Ocean (1992+) waters. To help address these challenges, this in-situ data and the related knowledge is being combined with biogeochemical numerical models and remote sensing data in the GreenSeas Analysis Framework. ... |
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