Table 2 Details of network architecture.

From: Newly reconstructed Arctic surface air temperatures for 1979–2021 with deep learning method

Module Name

Filter Size

Channels

Stride

Padding

Nonlinearity

PConv1

7 × 7

18

2

3

ReLU

PConv2

5 × 5

36

2

2

ReLU

PConv3

5 × 5

72

2

2

ReLU

UpSample1

72

Concat1

72 + 36

PConv4

3 × 3

36

1

1

LeakyReLU

UpSample2

36

Concat2

36 + 18

PConv5

3 × 3

18

1

1

LeakyReLU

UpSample3

18

Concat3

18 + 3

PConv6

3 × 3

3

1

1

LeakyReLU

  1. PConv denotes a partial convolutional layer54. PConv1–3 are in encoder stage, whereas PConv4–6 are in decoder stage. The skip links are shown via Concat. UpSample is achieved by nearest neighbour interpolation.