Spatiotemporal lagging of predictors improves machine learning estimates of atmosphere–forest CO<sub>2</sub> exchange
<p>Accurate estimates of net ecosystem CO<span class="inline-formula"><sub>2</sub></span> exchange (NEE) would improve the understanding of natural carbon sources and sinks and their role in the regulation of global atmospheric carbon. In this work, we use and...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2023-03-01
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| Series: | Biogeosciences |
| Online Access: | https://bg.copernicus.org/articles/20/897/2023/bg-20-897-2023.pdf |