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Dataset . 2023
License: CC BY
Data sources: Datacite
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Dataset . 2023
License: CC BY
Data sources: Datacite
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https://doi.org/10.5281/zenodo...
Dataset . 2023
License: CC BY
Data sources: Sygma
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RECCAP2-ocean data collection

Authors: Müller, Jens Daniel;

RECCAP2-ocean data collection

Abstract

This repository contains data sets that were submitted to and analysed in the ocean branch of phase two of the REgional Carbon Cycle Assessment and Processes (RECCAP2-ocean) project. Protocols defining the criteria for data set submissions to RECCAP2-ocean are available through the project website: https://reccap2-ocean.github.io/protocols/ A detailed description of the submitted data sets is provided in three files contained in the supplementary.tar file. These are: An overview table of all regularly submitted data sets including contact details for each submission is provided in RECCAP2-ocean_data_products_overview.xlsx. The documentation of a quality control exercise is provided in QC_results_RECCAP2-ocean.pdf. All regular data sets have been quality controlled (i.e. checked for consistency with the submission protocol and general plausibility of results) by the participants of RECCAP2 (i.e. the users of the data sets). A documentation of remaining data set issues that were identified after the initial quality control is provided in Remaining_data_set_issues.pdf. These remaining issues have not been corrected. All originally submitted files were unpacked, compressed, and repacked into tar files before submission to Zenodo. The individual submitted data sets are broadly grouped into four classes indicated by the prefix of the tar files: models: Global and regional ocean biogeochemical hindcast models (GOBM/ROBM) as well as ocean data-assimilation models (data-assimilation models) surface_co2: Surface ocean pCO2-observation products (pCO2 products) ocean_interior: Ocean interior DIC-observation products (DIC products) atmospheric _inversions: Atmospheric inversion models Some additional files that were only used by individual chapters of RECCAP2-ocean and were not quality controlled are contained in the supplementary.tar file. Jens Daniel Müller, RECCAP2-ocean coordinator, May 2023 on behalf of the entire RECCAP2-ocean team

{"references": ["Poulter, B., Bastos, A., Canadell, J., Ciais, P., Gruber, N., Hauck, J., et al. (2022). Inventorying Earth's Land and Ocean Greenhouse Gases. Eos, 103. https://doi.org/10.1029/2022eo179084", "Sarma, V. V. S. S., Sridevi, B., Metzl, N., Patra, P. K., Lachkar, Z., Chakraborty, K., et al. (2023). Air-Sea Fluxes of CO2 in the Indian Ocean Between 1985 and 2018: A Synthesis Based on Observation-Based Surface CO2, Hindcast and Atmospheric Inversion Models. Global Biogeochemical Cycles, 37(5), e2023GB007694. https://doi.org/10.1029/2023GB007694"]}

We acknowledge the support by the Max Planck Institute for Biogeochemistry, namely A. Bastos and F. Gans, in hosting and curating a temporary repository for the RECCAP2-ocean data collection.

Related Organizations
Keywords

carbon, RECCAP2, ocean, Global Carbon Budget

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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