SEAMLESS H2020 project
Published December 13, 2022 | Version 1
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D4.2 Recommendations for strongly coupled physical-biogeochemical data assimilation. Deliverable report of project H2020 SEAMLESS (grant 101004032.)

Creators

  • 1. NERSC
  • 2. CNRS
  • 3. UGA
  • 4. PML

Description

This document reports on (i) the developments of strongly coupled ensemble assimilation methods and assimilation experiments performed in SEAMLESS and (ii) to provide methodological recommendations to perform strongly coupled physical-biogeochemical data assimilation in the 3D domains of the Monitoring and Forecasting Centers (MFC) of the Copernicus Marine Service (CMEMS).

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D4-2_Guidelines_strongly_coupled_DA_v1.pdf

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Additional details

Funding

European Commission
SEAMLESS – Services based on Ecosystem data AssiMiLation: Essential Science and Solutions 101004032