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Data · collection · 2019

Large ensemble pCO2 testbed

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Description

This is a collection of randomly selected ensemble members from 4 large ensemble projects:- CanESM2 (data.ec.gc.ca/data/climate/scientificknowledge/the-eccc-climate-model-datasets-for-climate-science-and-impacts-research/the-canadian-earth-system-model-large-ensembles/)- CESM-LENS (cesm.ucar.edu/projects/community-projects/LENS/)- GFDL ( poseidon.princeton.edu)- MPI-GE (mpimet.mpg.de/en/grand-ensemble/) Each ensemble member was interpolated from its native grid to a 1x1 degree lat/lon grid.

The variables are monthly over the 1982-2017 time frame and sampled as the SOCATv5 data product. Historical atmospheric CO2 is used up to 2005 with RCP8.5 after 2005. The intention of this dataset is to evaluate ocean pCO2 gap-filling techniques.

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Ensemble members from other large ensemble projects will be added to this dataset in the future. In total , there are 100 unique ensemble members across four large ensembles. Gap-filling techniques can be evaluated across 100 unique climate states.

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DataCite10.6084/m9.figshare.c.4568555.v113 d agoJSON v1
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