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- CESM Large Ensemble with Increased Access (LEIA) for Ocean Biogeochemistry
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The yearly mean of 34 CESM large ensemble members on 2 degree
longitude-latitude resolution with 33 vertical depth levels are in
this dataset. This level of compression is chosen to keep the
balance of large-scale model fields and the need to reduce data
volume. Historical and RCP8.5 scenario segments are combined to a
single time series consisting 1920 to 2100. The pre industry control
simulation is also provided using the same data reduction scheme to
allow for drift correction. Each ensemble member can fit in a single
NetCDF file of 7.3GB containing 15 physical and biogeochemical
variables. The reduction in both temporal and spatial resolution
causes a loss of information, and its effect is assessed for a
subset of model fields including sea surface temperature at 5m,
subsurface dissolved oxygen at 200m, and air-sea flux of carbon
dioxide . The largest basin-scale biases are found in the Arctic
Ocean. For the global means, the biases are about an order of
magnitude smaller. The interpolation error is most significant near
the coast line. The surface ocean area is reduced by approximately
3% due to the loss of some coastal grid cells. These initial
assessment suggest that the errors introduced by this resolution
reduction are relatively small, and the reduced data volume
generally benefits more than the small increase in uncertainty for
global and basin-wide diagnostics.
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