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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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Datasets and analysis scripts for air-sea flux study using CESM-MOM6

Research datakeyboard_double_arrow_right Dataset 22 Dec 2022 English Publisher:Zenodo
Authors: Agarwal, Niraj;

doi: 10.5281/zenodo.7359120 , 10.5281/zenodo.7359119

Datasets and analysis scripts for air-sea flux study using CESM-MOM6

Abstract

This repository provides the fully-coupled CESM-MOM6 simulation datasets for the ocean surface and the analysis scripts for studying air-sea flux variability. This study aimed to quantify the effects of the stochastic ocean density corrections on the ocean-intrinsic component of air-sea fluctuations, which is the strongest at mesoscales, i.e., 10-1000 Km.

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Keywords

Coupled climate modeling, Stochastic parameterization, Air-Sea coupling

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selected citations
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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).
BIP!Citations provided by BIP!
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.
BIP!Impulse provided by BIP!
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