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.xyz
*Speaker*: *Jiafu Mao*, Oak Ridge National Laboratory.
*Title*: *Machine-Learning Applications in Process-understanding and
Prediction of Wildfire*
*Abstract*: 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 <https://ignaciosd.github.io> & Meichen Huang
<https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Fin%2Fmeichen-huang-00736320a&sa=D&sntz=1&usg=AOvVaw3X3lN47Pit-0Iu6lgILfZQ>
,
On behalf of the TIES Webinar Series' organizing committee
*Dr. Ignacio Segovia-Dominguez*
The University of Texas at Dallas
*NASA Jet Propulsion Laboratory, Caltech *
https://ignaciosd.github.io
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