Training a convolutional neural network to conserve mass in data assimilation
<p>In previous work, it was shown that the preservation of physical properties in the data assimilation framework can significantly reduce forecast errors. Proposed data assimilation methods, such as the quadratic programming ensemble (QPEns) that can impose such constraints on the calculation...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2021-02-01
|
| Series: | Nonlinear Processes in Geophysics |
| Online Access: | https://npg.copernicus.org/articles/28/111/2021/npg-28-111-2021.pdf |