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.
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.
the Creative Commons Attribution 4.0 License.
Research article
| 
01 Nov 2021
Research article |
| 01 Nov 2021
| 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
CORRESPONDING AUTHOR
Verification, Impacts and Post-Processing, Weather Science, Met
Office, Exeter, EX1 3PB, UK
Rachel North
Verification, Impacts and Post-Processing, Weather Science, Met
Office, Exeter, EX1 3PB, UK
Jan Maksymczuk
Ocean Forecasting Research & Development, Weather Science, Met
Office, Exeter, EX1 3PB, UK
Christine Pequignet
Ocean Forecasting Research & Development, Weather Science, Met
Office, Exeter, EX1 3PB, UK
David Ford
Ocean Forecasting Research & Development, Weather Science, Met
Office, Exeter, EX1 3PB, UK
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J. R. Siddorn, S. A. Good, C. M. Harris, H. W. Lewis, J. Maksymczuk, M. J. Martin, and A. Saulter
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The Met Office provides a range of services in the marine environment. To support these services, and to ensure they evolve to meet the demands of users and are based on the best available science, a number of scientific challenges need to be addressed. The paper summarises the key challenges, and highlights some priorities for the ocean monitoring and forecasting research group at the Met Office.
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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.
Regions of enhanced chlorophyll-a concentrations can be identified by applying a threshold to...
