Webinar - California Fire Science Seminar Series: EESA Wildfire Modeling Activities: Exploring Various Dimensions and Scales of Wildfire and its Impacts on Carbon, Plant Communities, and Climate Mitigation

Description

Presenters: Zelalem Mekonnen, Qing Zhu, and Maegen Simmonds, Earth and Environmental Sciences Area (EESA), LBNL

Wildfire is globally important to climate change and is projected to increase in severity with it. Thus, improving our predictability and understanding of its spatial patterns and impacts on terrestrial vegetation dynamics are greatly needed, as well as our ability to quantify the tradeoffs between wildfire mitigation practices and greenhouse gas emissions. Our capabilities in wildfire modeling span across explicit wildfire modeling with a machine learning approach, modeling vegetation dynamics across multiple ecosystems and climates, and modeling impacts of climate-relevant policy scenarios on wildfire emissions and the terrestrial carbon balance (machine learning model & E3SM, ecosys, and CALAND, respectively). Here we present our recent research activities in these various sub-disciplines of wildfire science to demonstrate a selection of the breadth of research at Berkeley Lab.

For More Information

Date(s)

Feb 23, 2021 3:00 pm
PST

Related Event(s)

Categories

Type:

Webinars, Seminars and Presentations