Testing the applicability of neural networks as a gap-filling method using CH4 flux data from high latitude wetlands

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http://hdl.handle.net/10138/162381

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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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