Machine learning of Antarctic firn density by combining radiometer and scatterometer remote-sensing data
<p>Firn density plays a crucial role in assessing the surface mass balance of the Antarctic ice sheet. However, our understanding of the spatial and temporal variations in firn density is limited due to (i) spatial and temporal limitations of in situ measurements, (ii) potential modelling unce...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2025-01-01
|
| Series: | The Cryosphere |
| Online Access: | https://tc.copernicus.org/articles/19/37/2025/tc-19-37-2025.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|