
doi: 10.1029/2020gl091746 , 10.1002/essoar.10504824.2 , 10.1002/essoar.10504824.3 , 10.1002/essoar.10504824.1
pmid: 34219838
pmc: PMC8243937
handle: 1721.1/130486
doi: 10.1029/2020gl091746 , 10.1002/essoar.10504824.2 , 10.1002/essoar.10504824.3 , 10.1002/essoar.10504824.1
pmid: 34219838
pmc: PMC8243937
handle: 1721.1/130486
AbstractThe ocean's “biological pump” significantly modulates atmospheric carbon dioxide levels. However, the complexity and variability of processes involved introduces uncertainty in interpretation of transient observations and future climate projections. Much research has focused on “parametric uncertainty,” particularly determining the exponent(s) of a power‐law relationship of sinking particle flux with depth. Varying this relationship's functional form introduces additional “structural uncertainty.” We use an ocean biogeochemistry model substituting six alternative remineralization profiles fit to a reference power‐law curve, to systematically characterize structural uncertainty, which, in atmospheric pCO2 terms, is roughly 50% of parametric uncertainty associated with varying the power‐law exponent within its plausible global range, and similar to uncertainty associated with regional variation in power‐law exponents. The substantial contribution of structural uncertainty to total uncertainty highlights the need to improve characterization of biological pump processes, and compare the performance of different profiles within Earth System Models to obtain better constrained climate projections.
Research Letter
Research Letter
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