ABoVE: Multi-model Uncertainty of Carbon Stocks and Fluxes across ABoVE Domain, 2003
A new dataset from the Arctic-Boreal Vulnerability Experiment (ABoVE) provides estimates of the uncertainty in soil carbon stock, autotrophic respiration, heterotrophic respiration, net ecosystem exchange, net primary production, and gross primary productivity across the entire ABoVE Study Domain at 0.5 degree resolution for the reference year 2003. Total uncertainty integrates both structural uncertainty of land-surface physics among models as well as inherent parametric uncertainty introduced within models, and uncertainty from forcing data. There are six data files in GeoTIFF (.tif) format, one each for the standard deviation of the carbon cycle components. This analysis will help inform decisions for upcoming field campaigns in the region.
ABoVE is a NASA Terrestrial Ecology Program field campaign that will take place in Alaska and western Canada between 2016 and 2021. Research for ABoVE will link field-based, process-level studies with geospatial data products derived from airborne and satellite sensors, providing a foundation for improving the analysis, and modeling capabilities needed to understand and predict ecosystem responses and societal implications. See all ORNL DAAC datasets from the ABoVE campaign.
Data Citation: Fisher, J.B. 2019. ABoVE: Multi-model Uncertainty of Carbon Stocks and Fluxes across ABoVE Domain, 2003. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1652
Data Center: ORNL DAAC
Sponsor: EOSDIS