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Dataset . 2022
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Dataset . 2022
License: CC BY
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Dataset . 2022
License: CC BY
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Dataset . 2022
License: CC BY
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Aerosol Microphysics Emulation Dataset

Research datakeyboard_double_arrow_right Dataset 11 Jan 2022Publisher:Zenodo
Authors: Paula Harder; Duncan Watson-Parris;

doi: 10.5281/zenodo.5837935 , 10.5281/zenodo.5837936 , 10.5281/zenodo.6583397

Aerosol Microphysics Emulation Dataset

Abstract

This dataset contains input/output data of one time step of the M7 aerosol microphysics model. It is created to enable the use of machine learning to emulate the model part. It contains input and output pairs for training, validation and testing from separate days of the year. The code can be found here.

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Keywords

aerosol modeling, climate emulation, machine learning for climate, aerosol modeling, climate emulation, machine learning for climate, aerosols, climate, deep learning

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visibility
download
selected citations
These citations are derived from selected sources.
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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
1
Average
Average
Average
35
14
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