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Code for "An increasing Arctic-boreal CO2 sink offset by wildfires and source regions"

<p>This repository includes the codes used to produce the results in Virkkala et al. (2024) in review. "An increasing Arctic-boreal CO2 sink offset by wildfires and source regions" (preprint: https://doi.org/10.1101/2024.02.09.579581). In short, there are R codes used to train random forest models, estimate importance scores and partial dependences for the variables, assess model predictive performance and uncertainties, predict (i.e. upscale) with the models and summarize model outputs using R version 4.2. Note that some of the datasets and results (e.g. monthly geospatial predictors or upscaling outputs) were not included in the repository due to their large file size (hundreds of GBs). Therefore, some of the paths to the files included in the codes are not working. These additional files are available from the corresponding author upon request.&nbsp;</p> <p><strong>Folder structure:</strong></p> <p><em>flux_upscaling_data</em>: includes the model training data, i.e. in-situ data as well as environmental data extracted from geospatial datasets</p> <p><em>abcflux_modeling: </em>includes the R analysis scripts in the codes-folder</p> <p><em>abcflux_modeling_bigfiles:&nbsp;</em>includes the key results and figures produced by the scripts</p> <p><strong>More details from avirkkala@woodwellclimate.org and from manuscript:</strong></p> <div>Anna-Maria&nbsp;Virkkala,&nbsp;Brendan M.&nbsp;Rogers,&nbsp;Jennifer D.&nbsp;Watts,&nbsp;Kyle A.&nbsp;Arndt,&nbsp;Stefano&nbsp;Potter,&nbsp;Isabel&nbsp;Wargowsky,&nbsp;Edward A. G.&nbsp;Schuur,&nbsp;Craig&nbsp;See,&nbsp;Marguerite&nbsp;Mauritz,&nbsp;Julia&nbsp;Boike,&nbsp;Syndonia M.&nbsp;Bret-Harte,&nbsp;Eleanor J.&nbsp;Burke,&nbsp;Arden&nbsp;Burrell,&nbsp;Namyi&nbsp;Chae,&nbsp;Abhishek&nbsp;Chatterjee,&nbsp;Frederic&nbsp;Chevallier,&nbsp;Torben R.&nbsp;Christensen,&nbsp;Roisin&nbsp;Commane,&nbsp;Han&nbsp;Dolman,&nbsp;Bo&nbsp;Elberling,&nbsp;Craig A.&nbsp;Emmerton,&nbsp;Eugenie S.&nbsp;Euskirchen,&nbsp;Liang&nbsp;Feng,&nbsp;Mathias&nbsp;Goeckede,&nbsp;Achim&nbsp;Grelle,&nbsp;Manuel&nbsp;Helbig,&nbsp;David&nbsp;Holl,&nbsp;J&auml;rvi&nbsp;J&auml;rveoja,&nbsp;Hideki&nbsp;Kobayashi,&nbsp;Lars&nbsp;Kutzbach,&nbsp;Junjie&nbsp;Liu,&nbsp;Ingrid&nbsp;Liujkx,&nbsp;Efr&eacute;n&nbsp;L&oacute;pez-Blanco,&nbsp;Kyle&nbsp;Lunneberg,&nbsp;Ivan&nbsp;Mammarella,&nbsp;Maija E.&nbsp;Marushchak,&nbsp;Mikhail&nbsp;Mastepanov,&nbsp;Yojiro&nbsp;Matsuura,&nbsp;Trofim&nbsp;Maximov,&nbsp;Lutz&nbsp;Merbold,&nbsp;Gesa&nbsp;Meyer,&nbsp;Mats B.&nbsp;Nilsson,&nbsp;Yosuke&nbsp;Niwa,&nbsp;Walter&nbsp;Oechel,&nbsp;Sang-Jong&nbsp;Park,&nbsp;Frans-Jan W.&nbsp;Parmentier,&nbsp;Matthias&nbsp;Peichl,&nbsp;Wouter&nbsp;Peters,&nbsp;Roman&nbsp;Petrov,&nbsp;William&nbsp;Quinton,&nbsp;Christian&nbsp;R&ouml;denbeck,&nbsp;Torsten&nbsp;Sachs,&nbsp;Christopher&nbsp;Schulze,&nbsp;Oliver&nbsp;Sonnentag,&nbsp;Vincent&nbsp;St.Louis,&nbsp;Eeva-Stiina&nbsp;Tuittila,&nbsp;Masahito&nbsp;Ueyama,&nbsp;Andrej&nbsp;Varlagin,&nbsp;Donatella&nbsp;Zona, and Susan M.&nbsp;Natali. An increasing Arctic-boreal CO<sub>2</sub> sink offset by wildfires and source regions.</div> <div>bioRxiv&nbsp;2024.02.09.579581;&nbsp;doi:&nbsp;https://doi.org/10.1101/2024.02.09.579581</div>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
8
Engagement
4