Gavin McNicol

View Calendar
March 7, 2022 11:30 am - 12:30 pm

Dr. Gavin McNicol will present on FLUXNET-CH4 synthesis activity: Data-driven modeling of wetland methane fluxes from sites to the globe. Dr. McNicol is an Assistant Professor in the Department of Earth and Environmental Sciences at the University of Illinois at Chicago. He obtained his PhD in ecosystem science at the University of California at Berkeley in 2016. His current research explores ecosystem-climate interactions across microbial to planetary scales with a focus on quantifying soil carbon stocks and greenhouse gas fluxes in wet environments including wetlands, temperate rainforests, and waste systems.

Atmospheric methane is rising at an unprecedented rate and now accounts for a quarter of contemporary climate change. Wetlands represent the largest natural source of methane but emissions estimates and their response to warming remains uncertain. Here I will present new data and model products arising from the FLUXNET-CH4 synthesis activity, which was launched in 2018 with the long-term goal to reduce wetland methane source uncertainties by compiling existing and facilitating new surface methane flux observations. I will first recount the development of the FLUXNET-CH4 Version 1.0 dataset, which contains ~4.5 million half-hourly methane flux observations across 81 terrestrial sites globally. I will then discuss two FLUXNET-CH4 machine learning applications in wetland methane flux gap-filling and global upscaling, with a focus on method advances for model validation and uncertainty quantification.

Related upcoming events

  • October 3, 2022 11:30 am - October 3, 2022 12:30 pm

    Methane Plume Mapping Over Offshore Oil and Natural Gas Platforms in the Gulf of Mexico

    Alana Ayasse

    Research Scientist

    Carbon Mapper

    University of Arizona

    Abstract

    Offshore oil and natural gas platforms are responsible for about 30% of global oil and natural gas production. Despite the large share of global production there is little known about the greenhouse gas emissions from these production facilities. Given the lack of direct measurements, studies that seek to understand the greenhouse gas contribution of offshore oil and gas platforms are incredibly important. The use of airborne remote sensing to map greenhouse gases from onshore oil and gas infrastructure has become a prominent method to quantify and attribute large individual emissions to their sources. However, until now, this method has not been used offshore due to the lack of consistent reflected radiance over water bodies.  In this talk I will present the results from a 2021 study where we used visible/infrared imaging spectrometer data collected over the Gulf of Mexico to map methane emissions from shallow water offshore oil and natural gas platforms. I will discuss the methods we employed to map methane in the offshore environment and how that differs from the onshore environment. I will show how remote sensing can efficiently observe offshore infrastructure, quantify methane emissions, and attribute those emissions to specific infrastructure types.

    Bio

    Dr Alana Ayasse is a research scientist at Carbon Mapper and the University of Arizona. She earned her BA in Geography and Environmental Studies from UCLA and her PhD in Geography from UCSB. Her research focuses on improving remote sensing techniques to map methane and carbon dioxide plumes, understanding the role of satellites in a global carbon monitoring system, and using remote sensing data to further understand trends in carbon emissions.

  • October 10, 2022 11:30 am - October 10, 2022 12:30 pm

    TBD

  • October 17, 2022 11:30 am - October 17, 2022 12:30 pm

    TBD

  • October 24, 2022 11:30 am - October 24, 2022 12:30 pm

    TBD

  • October 31, 2022 11:30 am - October 31, 2022 12:30 pm

    TBD

  • November 7, 2022 11:30 am - November 7, 2022 12:30 pm

    TBD

  • November 14, 2022 11:30 am - November 14, 2022 12:30 pm

    TBD

  • November 21, 2022 11:30 am - November 21, 2022 12:30 pm

    TBD

  • November 28, 2022 11:30 am - November 28, 2022 12:30 pm

    TBD

  • December 5, 2022 11:30 am - December 5, 2022 12:30 pm

    TBD