Internal Variability Increased Arctic Amplification during 1980-2022
This data holds the historical and spliced data required to run the convolutional neural network document in Sweeney et al., 2023 submitted to GRL. Data is stored in two folders (historical and spliced), and individualmodels are put into each category and separated by ensemble number, time period of...
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| Format: | Other/Unknown Material |
| Language: | unknown |
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Zenodo
2023
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| Online Access: | https://doi.org/10.5281/zenodo.8286589 |
| Summary: | This data holds the historical and spliced data required to run the convolutional neural network document in Sweeney et al., 2023 submitted to GRL. Data is stored in two folders (historical and spliced), and individualmodels are put into each category and separated by ensemble number, time period of trend, variable type(surface air temp or sea level pressure), latitude and longitude. |
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