B24D-01:
Characterizing the carbon emissions of megacities

Tuesday, 16 December 2014: 4:00 PM
Riley M Duren1, Kevin R Gurney2, Lucy Hutyra3, Charles E Miller4, Eric A Kort5, Preeti Rao3 and Annmarie Eldering6, (1)Jet Propulsion Laboratory, Pasadena, CA, United States, (2)Arizona State University, Tempe, AZ, United States, (3)Boston University, Boston, MA, United States, (4)Jet Propulsion Lab, Pasadena, CA, United States, (5)University of Michigan Ann Arbor, Ann Arbor, MI, United States, (6)NASA Jet Propulsion Laboratory, Pasadena, CA, United States
Abstract:
Anthropogenic carbon emissions from cities and their power plants represent the single largest human contribution to climate change. Many cities with large fossil-fuel CO2 and CH4 fluxes are undergoing rapid change due to development, urbanization, energy sector transformations and/or climate mitigation actions. Meanwhile, flux estimation uncertainties at these finer spatial scales remain significantly larger than those at the continental and national scales addressed by traditional carbon estimation techniques. Improved quantification and understanding of underlying processes at the urban scale will not only provide policy-relevant information and improve the understanding of urban dynamics and future scenarios, but will translate into better global-scale anthropogenic flux estimates, and advance our understanding of carbon cycle and climate feedbacks across multiple scales. An observing system including a tiered set of surface, airborne, and satellite sensors combined with process-based flux quantification from the bottom-up, can be focused spatially and sectorally to address these challenges. A thoughtfully crafted research program that is grounded in sustained, dense observations relevant to estimating urban carbon fluxes and their controlling processes and is focused on a statistically significant sample of cities will advance our understanding of the carbon cycle. We describe the Megacities Carbon Project as an example for developing and validating the integrated application of atmospheric observations from localized surface networks, aircraft campaigns, and satellites with an analytical construct for linking atmospheric information with the human activities that drive emissions.