Deep learning applied to glacier evolution modelling
<p>We present a novel approach to simulate and reconstruct annual glacier-wide surface mass balance (SMB) series based on a deep artificial neural network (ANN; i.e. deep learning). This method has been included as the SMB component of an open-source regional glacier evolution model. While mos...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2020-02-01
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| Series: | The Cryosphere |
| Online Access: | https://www.the-cryosphere.net/14/565/2020/tc-14-565-2020.pdf |