B21I:
Quantifying Drivers of Global and Regional Fire Patterns Using Data and Models II
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B21I:
Quantifying Drivers of Global and Regional Fire Patterns Using Data and Models II
Quantifying Drivers of Global and Regional Fire Patterns Using Data and Models II
Session ID#: 32024
Session Description:
Fire is a critical component of Earth system dynamics and the carbon cycle. However, since climate and human driving factors vary considerably over time and space, capturing observed patterns using simulations remains a major challenge. These challenges also result in important uncertainties in predicting future fire activity, understanding past fire activity, and quantifying the role of fire in the Earth system. Paleorecords offer a diverse source of global/regional fire data on decadal to millennial timescales. The present day has extensive satellite records and increasingly detailed observations. Fire models are informed by present day records, but offer a way to test fundamental hypotheses well beyond the present. This session includes presentations that aim to quantify the role of humans and climate in driving patterns of fire at multiple spatiotemporal scales. The goal of our session is to foster interdisciplinary discussions of how data can inform models, and models can inform data.
Primary Convener: Brian Indrek Magi, University of North Carolina at Charlotte, Charlotte, NC, United States
Conveners: Sam S Rabin, Karlsruhe Institute of Technology, Karlsruhe, Germany, Fang Li, Institude of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China and Guido van der Werf, Vrije Universiteit, Amsterdam, Netherlands
Chairs: Brian Indrek Magi, University of North Carolina at Charlotte, Charlotte, NC, United States and Fang Li, Institude of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
OSPA Liaison: Brian Indrek Magi, University of North Carolina at Charlotte, Charlotte, NC, United States
Cross-Listed:
- A - Atmospheric Sciences
- GC - Global Environmental Change
- NH - Natural Hazards
Index Terms:
0414 Biogeochemical cycles, processes, and modeling [BIOGEOSCIENCES]
0434 Data sets [BIOGEOSCIENCES]
0466 Modeling [BIOGEOSCIENCES]
1630 Impacts of global change [GLOBAL CHANGE]
Abstracts Submitted to this Session:
See more of: Biogeosciences
