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Software . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Software . 2022
License: CC BY
Data sources: Datacite
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Coral-based Sea Surface Salinity Reconstructions and the Role of Observational Uncertainties in Inferred Variability and Trends

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 01 Aug 2022Publisher:Zenodo
Authors: Reed, Emma; Thompson, Diane; Anchukaitis, Kevin;

doi: 10.5281/zenodo.6403155 , 10.5281/zenodo.6403156

Coral-based Sea Surface Salinity Reconstructions and the Role of Observational Uncertainties in Inferred Variability and Trends

Abstract

This .zip file contains the Python code and inputs necessary to reproduce the sea surface salinity (SSS) climate field reconstructions (CFRs) in the accompanying publication (Reed et al., in review as of 5/18/2022). The final coral-based CFRs for IAP and ORAS5 salinity are included as well. Contents include: Python code (provided as a Jupyter Notebook) Inputs: SSS data sets (NetCDFs) for ORAS5 and IAP EN4.2.1 SSS uncertainties for calibrations Iso2K coral records (Excel file). Land-sea masks for ORAS5 members Note: These input files are provided here for the sake of reproducibility. They are not the authoritative sources for these data sets (for sources, see Reed et al., in review). Outputs: coral-based SSS field reconstructions (NetCDFs) for IAP and ORAS5 members For more information, see the Readme file.

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