IOCCG Ocean Optics and Biogeochemistry Protocols for Satellite Ocean Colour Sensor Validation Volume 7.0. Aquatic Primary Productivity Field Protocols for Satellite Validation and Model Synthesis. (IOCCG Protocols Series, Volume 7.0). DOI: http://dx.doi.org/10.25607/OBP-1835

Balch, W.M.; Carranza, M.; Cetinic, I.; Chaves, J.E.; Duhamel, S.; Fassbender, A.; Fernandez- Carrera, A.; Ferron, S.; Garcia-Martin, E. ORCID: https://orcid.org/0000-0003-4807-3287; Goes, J.; Gomes, H.; Gundersen, K.; Halsey, K.; Hirawake, T.; Isada, T.; Juranek, L.; Kulk, G.; Langdon, C.; Letelier, R.; Lopez-Sandoval, D.; Mannino, A.; Marra, J.F.; Neale, P.; Nicholson, D.; Silsbe, G.; Stanley, R.H.; Vandermeulen, R.A.. 2022 IOCCG Ocean Optics and Biogeochemistry Protocols for Satellite Ocean Colour Sensor Validation Volume 7.0. Aquatic Primary Productivity Field Protocols for Satellite Validation and Model Synthesis. (IOCCG Protocols Series, Volume 7.0). DOI: http://dx.doi.org/10.25607/OBP-1835. In: Vandermeulen, Ryan A.; Chaves, Joaquin E., (eds.) Ocean Optics & Biogeochemistry Protocols for Satellite Ocean Colour Sensor Validation. International Ocean Colour Coordinating Group, 201pp.

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Abstract/Summary

In 2018, a working group sponsored by the NASA Plankton, Aerosol, Cloud, and ocean Ecosystem (PACE) project, in conjunction with the International Ocean Colour Coordinating Group (IOCCG), European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), and Japan Aerospace Exploration Agency (JAXA), was assembled with the aim to develop community consensus on multiple methods for measuring aquatic primary productivity used for satellite validation and model synthesis. A workshop to commence the working group efforts was held December 5–7, 2018, at the University Space Research Association headquarters in Columbia, MD, USA, bringing together 26 active researchers from 16 institutions. In this document, we discuss and develop the workshop findings as they pertain to primary productivity measurements, including the essential issues, nuances, definitions, scales, uncertainties, and ultimately best practices for data collection across multiple methodologies.

Item Type:	Publication - Book Section
Digital Object Identifier (DOI):	10.25607/OBP-1835
Date made live:	16 Nov 2022 11:20 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/533557

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