Event Date
SPEAKER: Troy S. Magney, Department of Plant Sciences
TITLE: “Model-data fusion to understand global carbon cycle patterns and processes”
ABSTRACT: Globally terrestrial ecosystems are estimated to be a net carbon (C) sink sequestering ~30 % of anthropogenic emissions of CO2. However, the response of terrestrial ecosystems to elevated atmospheric CO2 concentrations and associated climate change remain poorly known - meaning that it is currently impossible to state whether terrestrial ecosystems will continue to be a net carbon sink or at some point in the future become a source of carbon. Here, I will describe the latest remote sensing techniques used to estimate the global carbon cycle (fluxes of atmospheric CO2, as well as plant-physiologically sensitive remote sensing data). Since many of these data products are delivered at different spatiotemporal resolutions, I will discuss several approaches used to ‘downscale’ data to match observations in space and time. Several machine learning approaches have enabled us to look at intra- and inter annual variability in ecosystem carbon uptake, and when placed into a model-data fusion process based modeling framework (CARDAMOM), can be used to go beyond just CO2 uptake, but to C assimilation and C storage in ecosystems.
Seminar Date/Time: Thursday October 15th, 4:10pm
This seminar will be delivered remotely via Zoom. To access the Zoom meeting for this seminar, please contact the instructor Fushing Hsieh (fhsieh@ucdavis.edu) or Pete Scully (pscully@ucdavis.edu) for the meeting ID and password, stating your affiliation.