Testing the applicability of neural networks as a gap-filling method using CH4 flux data from high latitude wetlands
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Dengel , S , Zona , D , Sachs , T , Aurela , M , Jammet , M , Parmentier , F J W , Oechel , W & Vesala , T 2013 , ' Testing the applicability of neural networks as a gap-filling method using CH4 flux data from high latitude wetlands ' , Biogeosciences , vol. 10 , no. 12 , pp. 8185-8200 . https://doi.org/10.5194/bg-10-8185-2013
| Title: | Testing the applicability of neural networks as a gap-filling method using CH4 flux data from high latitude wetlands |
| Author: | Dengel, S.; Zona, D.; Sachs, T.; Aurela, M.; Jammet, M.; Parmentier, F. J. W.; Oechel, W.; Vesala, T. |
| Contributor organization: | Department of Physics Ecosystem processes (INAR Forest Sciences) Micrometeorology and biogeochemical cycles |
| Date: | 2013 |
| Language: | eng |
| Number of pages: | 16 |
| Belongs to series: | Biogeosciences |
| ISSN: | 1726-4170 |
| DOI: | https://doi.org/10.5194/bg-10-8185-2013 |
| URI: | http://hdl.handle.net/10138/162381 |
| Subject: |
EDDY COVARIANCE TECHNIQUE
CARBON-DIOXIDE EXCHANGE METHANE EMISSION TIME-SERIES BOREAL FEN MODEL SELECTION WATER-TABLE NET CARBON ECOSYSTEM PEATLAND 114 Physical sciences 1172 Environmental sciences |
| Peer reviewed: | Yes |
| Rights: | cc_by |
| Usage restriction: | openAccess |
| Self-archived version: | publishedVersion |
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Articles from TUHAT CRIS [44996]