Daniela Faggiani Dias
Scripps Institution of Oceanography
University of California San Diego
Seminar Information
Engineering Building Unit 2 (EBU2)
Room 479
Seminar Recording Available: Please contact seminar coordinator, Jake Blair at (j1blair@ucsd.edu)
The Intergovernmental Panel on Climate Change estimates that, by 2050, societies may need to remove around 10 GtCO2 from the atmosphere annually to limit warming to 2ºC. Yet there has been little analysis of how quickly carbon dioxide removal (CDR) strategies could scale to meet this expected need. In this talk, I'll present a new integrated modeling approach for assessing scalability that combines insights from the history of analogous technological revolutions with information about the efficacy and specific constraints of CDR strategies. We illustrate this approach with genetically enhanced crops that grow larger roots and, in turn, increase soil carbon and with techniques to enhance ocean alkalinity, increasing the capacity of the ocean to absorb atmospheric carbon dioxide. Our method offers a complimentary approach of how today's integrated climate models treat the size, speed and cost of CDR.
Daniela Faggiani Dias is a climate scientist at the Scripps Institution of Oceanography. Her research focuses are climate mitigation and predictability. Her current research uses different modeling approaches that combine theories of technological change with insights gleaned from history and climate system models to evaluate the speed and scaling potential of nascent technologies for atmospheric CO2 removal and the climate impacts of such interventions. Her past research includes developing statistical models to improve climate predictions on seasonal to decadal timescales and evaluating the underlying dynamical mechanisms that drive those predictable signals in the ocean and in the atmosphere. Daniela received her PhD in climate sciences at the Scripps Institution of Oceanography and has held a postdoctoral position at Colorado State University.