Toward Modeling Continental‐Scale Inland Water Carbon Dioxide Emissions
Abstract Inland waters emit significant amounts of carbon dioxide (CO 2 ) to the atmosphere; however, the global magnitude and source distribution of inland water CO 2 emissions remain uncertain. These fluxes have previously been “statistically upscaled” by independently estimating dissolved CO 2 concentrations and gas exchange velocities to calculate fluxes. This scaling, while robust and defensible, has known limitations in representing carbon source limitations and spatial variability. Here, we develop and calibrate a CO 2 transport model for the continental United States, simulating carbon transport and transformation in >22 million hydraulically connected rivers, lakes, and reservoirs. We estimate 25% lower CO 2 fluxes compared to upscaling estimates forced by the same observational calibration data. While precise CO 2 source distribution estimates are limited by the resolution of model parameterizations, our model suggests that stream corridor CO 2 production dominates over groundwater inputs at the continental scale. Our results further suggest that the lack of observational networks for groundwater CO 2 and scalable metabolic models of aquatic CO 2 production remain the most salient barriers to further coupling of our model with other Earth system components.
Authors
- Brian Saccardi (ORCID: https://orcid.org/0000-0003-1099-4996)
- Matthew J. Winnick (ORCID: https://orcid.org/0000-0003-4237-9402)
- Colin J. Gleason (ORCID: https://orcid.org/0000-0002-3525-6220)
- Craig Brinkerhoff (ORCID: https://orcid.org/0000-0001-6701-4835)
Institutions
- University of Massachusetts Amherst (US)
Publication Details
- Journal
- AGU Advances
- Published
- 2024-11-04
- DOI
- https://doi.org/10.1029/2024av001294
- Citations
- 5
- Primary Topic
- Marine and coastal ecosystems
- Type
- article
- Field-Weighted Citation Impact
- 2.40
Funders
- National Science Foundation
- National Aeronautics and Space Administration
- Nuclear Safety and Security Commission
- U.S. Geological Survey