Testing the applicability of neural networks as a gap-filling method using CH<sub>4</sub> flux data from high latitude wetlands
Since the advancement in CH<sub>4</sub> gas analyser technology and its applicability to eddy covariance flux measurements, monitoring of CH<sub>4</sub> emissions is becoming more widespread. In order to accurately determine the greenhouse gas balance, high quality gap-free d...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2013-12-01
|
| Series: | Biogeosciences |
| Online Access: | http://www.biogeosciences.net/10/8185/2013/bg-10-8185-2013.pdf |