Published on 01 January 2022

Arctic surface air temperature over 1979-2021 with deep learning method

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ziqi, ma;huang, jianbin

Description

This dataset is reconstructed based on deep learning methods combined with Arctic observation data. The Arctic observation data include GHCN-d, NP observation, ICOADS, and IABP's buoy observation. The dataset provides 1°x1° monthly temperature anomalies (relative to 1981–2010 average) from 30°N to 90°N from 1979 to 2021.

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.1

FAIR Score

13%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

Assigned Domain

Subfield

Atmospheric Science

Field

Earth and Planetary Sciences

Domain

Physical Sciences

Confidence Score

46%

Source

Scholar Data Model

Keywords

Climate Science

Normalization Factors

FT

30.77

CTw

1.00

MTw

1.00