Post-processed dataset: An ocean memory approach for analysing decadal variability in the North Atlantic Ocean

The dataset contains Python scripts and pre-processed data from selected CMIP6 models and observations. These were used to examine how the North Atlantic Oscillation affects decadal variations in the North Atlantic Ocean. An ocean memory approach, combining heat budget analysis with the Green's...

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Bibliographic Details
Main Author: Khatri, Hemant
Other Authors: Williams, Ric, Smith, Doug, Woollings, Tim
Format: Other/Unknown Material
Language:unknown
Published: Zenodo 2024
Subjects:
Ocean Memory
North Atlantic Oscillation
Atlantic Multidecadal Variability
North Atlantic
North Atlantic oscillation
Online Access:https://doi.org/10.5281/zenodo.13306350
Description
Summary:The dataset contains Python scripts and pre-processed data from selected CMIP6 models and observations. These were used to examine how the North Atlantic Oscillation affects decadal variations in the North Atlantic Ocean. An ocean memory approach, combining heat budget analysis with the Green's function method, is proposed.

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