Increasing synchronicity of global extreme fire weather
Increasing synchronicity of global extreme fire weather constrains fire suppression coordination and exacerbates air pollution.
Our new study in Science Advances: Extreme fire risk days are increasingly synchronizing globally. This trend strains firefighting cooperation and worsens regional air quality.
With @climate-guy.bsky.social @mattwjones.bsky.social @mojisadegh.bsky.social and Alison Cullen
doi.org/10.1126/scia...
19.02.2026 00:28 โ
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Friday Flash โ Fire Ignitions and Attributes Dataset
What makes the Fire Program Analysis Fire-Occurrence Database (Short 2022) even better? An additional 270 attributes associated with each of the >2M wildfires it documents. Learn more about the augmented data, led by Yavar Pourmohamad and @mojisadegh.bsky.social, here: mailchi.mp/blm/friday-f...
03.02.2026 15:56 โ
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Friday Flash โ Modeling Human Ignitions
Thanks to the Joint Fire Science Program for highlighting this work led by our colleagues Yavar Pourmohamad and @mojisadegh.bsky.social on predicting where and when human-caused wildfire ignitions are most likely across the western United States. mailchi.mp/blm/friday-f...
23.01.2026 20:18 โ
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Globally, the population directly exposed to wildland fires increased 40%, 2002-2021, despite 26% decline in burned area. Africa is, by far, the global hot spot for this exposure, w/ 85% of global exposures occurring in Africa in that period.
www.science.org/doi/epdf/10....
22.08.2025 19:28 โ
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Increasing global human exposure to wildland fires despite declining burned area
Although half of Earthโs population resides in the wildland-urban interface, human exposure to wildland fires remains unquantified. We show that the population directly exposed to wildland fires incre...
๐ฅ Our new research in @science.org shows that people are increasingly exposed to fires globally, driven by overlapping shifts in where #fires occur and where people live.
But changes in exposure vary hugely by region and are shaped by different population dynamics.๐
www.science.org/doi/10.1126/...
22.08.2025 10:18 โ
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We have discussed it with Karen Short. Potentially coming in the new version
11.04.2025 04:37 โ
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Compounding effects of climate change and WUI expansion quadruple the likelihood of extreme-impact wildfires in California - npj Natural Hazards
npj Natural Hazards - Compounding effects of climate change and WUI expansion quadruple the likelihood of extreme-impact wildfires in California
Thrilled to share our new paper in @natureportfolio.nature.com
npj Natural Hazards: ๐๐จ๐ฆ๐ฉ๐จ๐ฎ๐ง๐๐ข๐ง๐ ๐๐๐๐๐๐ญ๐ฌ ๐จ๐ ๐๐ฅ๐ข๐ฆ๐๐ญ๐ ๐๐ก๐๐ง๐ ๐ ๐๐ง๐ ๐๐๐ ๐๐ฑ๐ฉ๐๐ง๐ฌ๐ข๐จ๐ง ๐ช๐ฎ๐๐๐ซ๐ฎ๐ฉ๐ฅ๐ ๐ญ๐ก๐ ๐ฅ๐ข๐ค๐๐ฅ๐ข๐ก๐จ๐จ๐ ๐จ๐ ๐๐ฑ๐ญ๐ซ๐๐ฆ๐-๐ข๐ฆ๐ฉ๐๐๐ญ ๐ฐ๐ข๐ฅ๐๐๐ข๐ซ๐๐ฌ ๐ข๐ง ๐๐๐ฅ๐ข๐๐จ๐ซ๐ง๐ข๐.
www.nature.com/articles/s44...
@mojisadegh.bsky.social @climate-guy.bsky.social
25.02.2025 22:36 โ
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Thanks to the Joint Fire Science Program for funding this research
02.01.2025 20:17 โ
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*Our model attributed the greatest percentage of 150,247 wildfires from 1992 to 2020 for which the ignition source was unknown to equipment and vehicle use (21%), lightning (20%), and arson and incendiarism (18%).
02.01.2025 20:17 โ
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*Our model more accurately separated wildfires ignited by natural versus human causes (93% accuracy), and discriminated among the 11 classes of human-ignited wildfires with 55% accuracy.
02.01.2025 20:17 โ
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*ML models can identify the cause of wildfire ignitions and determine the contributions of diverse attributes to classification of cause
*Trained on wildfires from 1992 to 2020 with 12 known causes, the overall accuracy of our model exceeded 70% when applied to out-of-sample test data.
02.01.2025 20:17 โ
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*The spatial and temporal distribution of wildfires is captured by associated biological, physical, social, and management attributes
*Wildfires are increasingly reported with an unknown cause (5-fold increase from 1992 to 2020), hindering targeted prevention strategies
02.01.2025 20:17 โ
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LinkedIn
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Amirhossein Montazeri received three years of funding from the NASA FINESST program to model soil burn severity using satellite imagery and hashtag#MachineLearning:
lnkd.in/gJcUFegb
20.11.2024 19:16 โ
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LinkedIn
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Yavar Pourmohammad received one year of funding from JFSP to develop a hashtag#MachineLearning model to infer the cause of wildfires that were recorded with an unknown cause using their attributes: lnkd.in/gJJraAqk
20.11.2024 19:16 โ
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LinkedIn
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Here is my first post:
Congratulations to two brilliant PhD students at Boise State University for receiving awards from NASA - National Aeronautics and Space Administration and Joint Fire Science Program:
Looking forward to the great science and products that Yavar and Amirhossein will develop.
20.11.2024 19:16 โ
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