Ocean Science
Ocean Science
OS
Articles | Volume 17, issue 6
Articles | Volume 17, issue 6
https://doi.org/10.5194/os-17-1527-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/os-17-1527-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 6
Research article
 | 
01 Nov 2021
Research article |  | 01 Nov 2021

Using feature-based verification methods to explore the spatial and temporal characteristics of the 2019 chlorophyll-a bloom season in a model of the European Northwest Shelf

Marion Mittermaier, Rachel North, Jan Maksymczuk, Christine Pequignet, and David Ford

Data sets

North Atlantic Chlorophyll (Copernicus-GlobColour) from Satellite Observations: Daily Interpolated (Reprocessed from 1997) CMEMS https://resources.marine.copernicus.eu/product-detail/OCEANCOLOUR_ATL_CHL_L4_REP_OBSERVATIONS_009_098/INFORMATION

Atlantic - European North West Shelf - Ocean Biogeochemistry Analysis and Forecast CMEMS https://resources.marine.copernicus.eu/product-detail/NWSHELF_ANALYSISFORECAST_BGC_004_002/INFORMATION

Model code and software

METplus Verification System Coordinated Release (v4.0.0) M. Win-Gildenmeister, G. McCabe, J. Prestopnik, J. Opatz, J. Halley Gotway, T. Jensen, J. Vigh, M. Row, C. Kalb, H. Fisher, L. Goodrich, D. Adriaansen, J. Frimel, L. Blank, and T. Arbetter https://doi.org/10.5281/zenodo.5567805

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Short summary
Regions of enhanced chlorophyll-a concentrations can be identified by applying a threshold to the concentration value to a forecast and observed field (or analysis). These regions can then be treated and analysed as features using diagnostic techniques to consider of the evolution of the chlorophyll-a blooms in space and time. This allows us to understand whether the biogeochemistry in the model has any skill in predicting these blooms, their location, intensity, onset, duration and demise.
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