VIRTUAL - Special Lecture - Anita Ganesan (University of Bristol)

Speaker: 
VIRTUAL - Anita Ganesan (university of Bristol)
Date: 
Wednesday, April 8, 2020 - 12:00pm to 1:00pm
Location: 
ZOOM

Title: Interpreting changes in atmospheric methane using satellite and isotopic ratio measurements

Abstract:
Methane is a potent greenhouse gas with concentrations that are rising in the atmosphere in unexpected ways. Because of its radiative efficiency and because its lifetime in the atmosphere is only around a decade, reducing atmospheric methane concentration is a major component of most pathways designed to meeting climate targets. Over the past two decades, observations indicate that there have been substantial changes in the emissions and removal of methane. Yet, years later, we still do not definitively know why methane concentrations plateaued in the 2000s, increased globally after 2007 and then continued to increase at an even faster rate after 2014. One of the impacts of this limited understanding is that we therefore cannot design ways to control methane in the future. Here, I discuss some of the limitations in our understanding of atmospheric methane and two areas of my work in addressing this gap. First, I present the use of satellite data for investigating important source regions such as the Brazilian Amazon. I discuss how high-resolution modeling can extract information from satellite data to quantify long-term changes in emissions and the underlying drivers of these changes. I show that Brazil is a unique example where major sources such as wetlands and cattle are geographically distinct and thus satellite data can pinpoint changes from particular processes. I show how in the absence of this separation, which is the case for the majority of the world, additional information such as isotopic ratios must be used to partition methane emissions into underlying sources. In this second part, I discuss the limitations in current capability to effectively use isotopic ratio measurements, the “next generation” of observational capability in methane science, for source partitioning. I show how field experiments and simple models can be used to derive global distributions in the isotopic signatures of major sources such as wetlands, providing much more consistency against observations. I discuss how incorrect assumptions about source signature distributions have a major impact on our ability to interpret atmospheric isotopic ratio measurements and that this is a fundamental reason why we have not been able to conclusively interpret the recent atmospheric methane record.