Learning about the carbon cycle from global budget data

Physics – Geophysics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

3

Biogeosciences: Biogeochemical Cycles, Processes, And Modeling (0412, 0793, 1615, 4805, 4912), Biogeosciences: Carbon Cycling (4806), Biogeosciences: Modeling, Mathematical Geophysics: Uncertainty Quantification (1873), Policy Sciences: Decision Making Under Uncertainty

Scientific paper

Observation-based estimates of the global carbon budget serve as important constraints on carbon cycle models. We test the effect of new budget data on projection uncertainty. Using a simple global model, we find that data for an additional decadal budget have only a marginal effect on projection uncertainty, in the absence of any constraints on decadal variability in carbon fluxes. Even if uncertainty in the global budget were eliminated entirely, uncertainty in the mechanisms governing carbon sinks have a much larger effect on future projections. Results suggest that learning about the carbon cycle will best be facilitated by improved understanding of sink mechanisms and their variability as opposed to better estimates of the magnitudes of fluxes that make up the global carbon budget.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Learning about the carbon cycle from global budget data does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Learning about the carbon cycle from global budget data, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Learning about the carbon cycle from global budget data will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1211160

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.