Preprints
https://doi.org/10.5194/essd-2024-21
https://doi.org/10.5194/essd-2024-21
29 Feb 2024
 | 29 Feb 2024
Status: this preprint is currently under review for the journal ESSD.

Observed global ocean phytoplankton phenology indices

Sarah-Anne Nicholson, Thomas J. Ryan-Keogh, Sandy J. Thomalla, Nicolette Chang, and Marié E. Smith

Abstract. Phytoplankton bloom phenology is an important indicator for the monitoring and management of marine resources and the assessment of climate change impacts on ocean ecosystems. Despite its relevance, there is no long-term and sustained observational phytoplankton phenological product available for global ocean implementation. The data product presented here addresses this need through the development of phenological detection algorithms (including among other seasonal metrics, the bloom initiation, termination, duration, and amplitude timing) using satellite derived chlorophyll-a data from the Ocean Colour Climate Change Initiative. This product provides the phenology output from three widely used bloom detection algorithms at three different spatial resolutions (4, 9 and 25 km) allowing for both regional and global-scale applications. In this study, the mean global phenology is characterised according to the three phenological detection methods and the different resolutions, which are compared to one another. In general, there is good agreement between the detection methods and between different resolutions on global scales. Regional differences are evident in coastal domains (particularly for resolution) and in regions with strong transitions between phytoplankton seasonal characteristics. This product can be used towards the development of national and global biodiversity assessments, pelagic ecosystem mapping and for monitoring change in climate sensitive regions relevant for ecosystem services. The dataset is published in the Zenodo repository under the following DOIs, 4 km: https://doi.org/10.5281/zenodo.8402932. 9 km: https://doi.org/10.5281/zenodo.8402847 and 25 km: https://doi.org/10.5281/zenodo.8402823 (Nicholson et al., 2023a, b, c) and will be updated regularly.

Sarah-Anne Nicholson, Thomas J. Ryan-Keogh, Sandy J. Thomalla, Nicolette Chang, and Marié E. Smith

Status: open (until 16 May 2024)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
Sarah-Anne Nicholson, Thomas J. Ryan-Keogh, Sandy J. Thomalla, Nicolette Chang, and Marié E. Smith

Data sets

Global Phytoplankton Phenological Indices - 4km resolution Sarah Nicholson et al. https://doi.org/10.5281/zenodo.8402932

Global Phytoplankton Phenological Indices - 9km resolution Sarah Nicholson et al. https://doi.org/10.5281/zenodo.8402847

Global Phytoplankton Phenological Indices - 25km resolution Sarah Nicholson et al. https://doi.org/10.5281/zenodo.8402823

Sarah-Anne Nicholson, Thomas J. Ryan-Keogh, Sandy J. Thomalla, Nicolette Chang, and Marié E. Smith

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Short summary
The annual greening of the global ocean by the widespread growth of phytoplankton blooms, visible from space, has global-scale impacts on food security, ecosystem health, and climate. Using satellite observations this study generates long-term and sustained phytoplankton phenology (timing and magnitude of blooms) indices for the global ocean towards the effective monitoring and management of marine resources and the assessment of climate change impacts on ocean ecosystems
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