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

This record is for the dataset “Predictions for "Statistical upscaling of ecosystem CO2 fluxes across the terrestrial tundra and boreal domain: regional patterns and uncertainties” at https://zenodo.org/doi/10.5281/zenodo.4521851. 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 This dataset can be downloaded at https://zenodo.org/doi/10.5281/zenodo.4521851.