Data for Internal Variability Increased Arctic Amplification from 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 individual models are put into each category and separated by ensemble number, time period o...

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Bibliographic Details
Main Author: Sweeney, Aodhan
Format: Dataset
Language:unknown
Published: 2023
Subjects:
Online Access:https://zenodo.org/record/8286633
https://doi.org/10.5281/zenodo.8286633
Description
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 individual models 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.