The International Environmetrics Society (TIES) has launched the
TIES Webinar Series on Data Science for Environmental Sciences (DSES).
Our next webinar will be on
December 2, at
11 am Central Time (attached flyer).
You can virtually access the webinar and register via our website:
www.environmetrics.xyzSpeaker:
Jiafu Mao, Oak Ridge National Laboratory.
Title:
Machine-Learning Applications in Process-understanding and Prediction of WildfireAbstract: Wildfires are a major land disturbance and aerosol emission source, affecting the global carbon budget, climate, and socioeconomic development. However, the driving mechanisms underlying fire evolution and reliable prediction of fire activity remain to be explored, especially in the fire prone regions. Here, I will present our recent studies aimed at investigating the wildfire drivers and predictability using machine learning techniques (MLTs), satellite observations and Earth system model (ESM) simulations. We quantified the natural and anthropogenic controlling factors underlying global fire changes for the period 2003–2019 and highlighted the dominant role of enhanced anthropogenic activity in reducing global burned area. We assessed the seasonal environmental drivers and predictability of African fire and achieved skillful prediction of African fire one month in advance. Moreover, we constrained fire carbon emissions simulated by the latest ESMs during the twenty-first century and refined the regional wildfire exposure in different socioeconomic factors. Overall, our research confirmed the feasibility and efficiency of ensemble MLTs in wildfire attribution, modeling and prediction.
Bio: Jiafu's research involves understanding and modeling of carbon, hydrology and vegetation dynamics in the Earth terrestrial ecosystem using field measurements, satellite data, process-oriented land surface and Earth system models, and various statistic methods including the machine learning techniques. His research has been published in leading journals including Nature Climate Change, Nature Geoscience, Nature Communications, Proceedings of the National Academy of Sciences of the United States of America, and Global Change Biology among others. I have also been involved in mentoring students and researchers at ORNL and from different universities.
Hope to see you all there!
Ignacio Segovia-Dominguez &
Meichen Huang,
On behalf of the TIES Webinar Series' organizing committee
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Ignacio Segovia-Dominguez
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