Published February 9, 2021 | Version v1
Dataset Open

Predictions for "Statistical upscaling of ecosystem CO2 fluxes across the terrestrial tundra and boreal domain: regional patterns and uncertainties"

Description

Description of the predictions

These data include predictions of annual and growing season carbon dioxide (CO2) fluxes of gross primary productivity (GPP), ecosystem respiration (ER), and net ecosystem exchange (NEE) during 1990–2015 across the terrestrial high-latitude tundra and boreal region. We synthesized flux measurements and used geospatial data to predict (i.e., upscale) CO2 fluxes at relatively high spatial resolution (1 km2) across the high-latitude region using five commonly-used statistical models and their ensemble, i.e., the median of all five models. Predictions were made separately for each year and flux. More details can be found in Virkkala et al. "Statistical upscaling of ecosystem CO2 fluxes across the terrestrial tundra and boreal domain: regional patterns and uncertainties" (in review). 

Files in this repository

This repository includes 27 rasters for each flux variable (i.e., annual GPP, annual ER, annual NEE, growing season GPP, growing season ER, growing season NEE). These raster files represent ensemble predictions for each flux variable and year (from 1990 to 2015, 26 years in total), and an average prediction across the years. Annual and growing season rasters are found in their own zipped folders.

Rasters are in Lambert North Pole Equal-Area Projection and in .tif format and come together with their supporting files which are useful for plotting the maps in e.g. ArcMap. Permanent water bodies and croplands were masked from these predictions. Quality control of the predictors resulted in some pixels lacking values for a given year, resulting in slight inconsistencies in data set extent across the years. Flux predictions need to be multiplied by 0.01 to arrive at the original scale.

File naming convention

anngpp_all... = Annual GPP prediction files, g C m-2 yr-1 (cumulative flux). Need to be multiplied by 0.01.

anner_all... = Annual ER prediction files, g C m-2 yr-1 (cumulative flux). Need to be multiplied by 0.01.

annee_all... = Annual NEE prediction files, g C m-2 yr-1 (cumulative flux). Need to be multiplied by 0.01.

gsgpp_length_all... = Growing season GPP prediction files, g C m-2 period-1 (cumulative flux). Need to be multiplied by 0.01.

gser_length_all... = Growing season ER prediction files, g C m-2 period-1. Need to be multiplied by 0.01.

gsnee_length_all... = Growing season NEE prediction files, g C m-2 period-1 (cumulative flux). Need to be multiplied by 0.01.

Files ending with "[year]_median.tif" represent the ensemble predictions produced for each year, and the files ending with "19902015_mean.tif" represent the averaged ensemble predictions calculated for the entire 26-year period.

Article citation

Virkkala, A.-M., Aalto, J., Rogers, B. M., Tagesson, T., Treat, C. C., Potter, S., Natali, S. M., Lehtonen, A., Mauritz, M., Schuur, A. E. G., Kochendorfer, J., Zona, D., Oechel, W., Kobayashi, H., Ueyama, M., Humphreys, E., Goeckede, M., Iwata, H., Lafleur, P., Euskirchen, E. S., Bokhorst, S., Marushchak, M., Elberling, B., Voigt, C., Sonnentag, O., Parmentier, F.-J., Celis, G., St.Loius, V. L., Emmerton, C. A., Peichel, M., Chi, J., Järveoja, J., Oberbauer, S. F., Torn, M. S., Park, S.-J., Dolman, H., Mammarella, I., Chae, N., Poyatos, R., Nilsson, M. S., Biasi, C., Martikainen, P., J.,  Lopéz-Blanco, E., Christensen, T. R., Kwon, M. J., Luoto, M. Statistical upscaling of ecosystem CO2 fluxes across the terrestrial tundra and boreal domain: regional patterns and uncertainties (in review since Feb, 2021).

Related repositories

The data used to train the statistical models that were used to produce the predictions can be found here: Anna-Maria Virkkala, Juha Aalto, Brendan M. Rogers, Torbern Tagesson, Claire C. Treat, Susan M. Natali, … Miska Luoto. (2021). Data for: "Statistical upscaling of ecosystem CO2 fluxes across the terrestrial tundra and boreal domain: regional patterns and uncertainties" [Data set]. Zenodo. http://doi.org/10.5281/zenodo.4519583

Files

annual_fluxes.zip

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