We have a paper out today in @Nature on the role that human-caused climate change is playing in changes in extreme wildfire behavior, at the daily timescale, in California.
Many previous studies have looked at the influence of climate change on wildfires in California, the US West, and around the world. However, most previous studies have focused on *conditions conducive* to wildfires rather than characteristics of wildfires themselves.
This is exemplified by the relevant statement in the latest Intergovernmental Panel on Climate Change (IPCC) report, which is an assertion about weather conditions conducive to wildfires.
Another example of this would be the recent findings from the @WWAttribution on wildfires in Canada this year, which focused on weather conditions, not wildfire characteristics themselves.
Also, when climate change studies *do* look directly at characteristics of wildfire activity, these tend to be of rather low resolution in space and time: usually area burned accumulated over large regions and entire years.
Our study makes progress on both of these fronts: We investigate the impact of climate change directly on wildfire behavior, and we do this at high resolution: daily timescale at the level of individual fires.
We use a “storyline approach” where the day-to-day weather conditions associated with historical fires are placed in differing background climatological temperatures and aridity conditions.
We used machine learning to quantify the relationship between temperature and wildfire behavior empirically directly from the data itself so that there were not any built-in assumptions about relationships between temperature/aridity and fire behavior.
One of our study's key findings was that the background climatological warming had very different impacts on different historical fires depending on whether or not that warming had pushed conditions over certain critical thresholds of temperature and aridity.
In some cases, warming’s impact on fire behavior was nonexistent (or even negative), and in others it had a huge impact – e.g., increasing the risk of extreme growth in daily burned area by more than a factor of 5.
For example, warming since the Industrial Revolution increased the risk of extreme growth by only 6% for the Carr Fire but by 40% for the North Complex Fire (averaged over their lifetimes).
This means that we should pay closest attention to the places and times of the year that historically have experienced conditions just on the moist side of these thresholds but which are being pushed over these thresholds onto the dry side more frequently by background warming.
This research looked at the effect of warming in isolation but warming is just one of many important influences on wildfires with others being changes in human ignition patterns and changes in land use and vegetation/fuels.
In the current phase of the research, we are looking at the simultaneous effect of future climate change concurrent with hazardous fuel reduction treatments (mechanical thinning and prescribed burning), which are endorsed by the US Wildfire crisis strategy.
We have an experimental, operational version of the model running here:
In these simulations, the forecasted weather conditions of the next several days are placed in different combinations of background climate and vegetation states so that the predicted fire danger can be compared.
One thing to note is that the difference between aggressive emissions reductions (RCP2.6) & delayed/tempered emissions reductions (RCP4.5) is very small in 2050. Thus, emissions policies do not have much leverage on wildfire activity until well into the 2nd half of the century.
So, while emissions reductions are important for the long term, if we are interested in reducing wildfire danger in the next several decades, we have to look to more direct solutions.
The good news is that preliminary results indicate that fuel characteristics have huge leverage on wildfire danger, and thus, hazardous fuel reductions have the potential to more than offset the increase in wildfire danger from warming.
Overall, we hope this research can serve as a foundation for many other practical applications to help mitigate wildfire danger including:
1) Where to prioritize hazardous fuel reduction treatments (mechanical thinning and prescribed burning) 2) When and where utilities should Intentionally de-energize power lines 3) Where utilities should prioritize undergrounding powerlines
4) Where advanced monitoring networks should be installed 5) When and where public awareness campaigns on ignition reduction should be focused
6) Where public awareness campaigns on wildfire preparedness should be focused 7) When and where firefighting resources like firefighters, bulldozers, and helicopters should be deployed
The paper is here:
Brown, P. T., H. Hanley, A. Mahesh, C. Reed, S. J. Strenfel, S. J. Davis, A. K. Kochanski, C. B. Clements (2023) Climate warming increases extreme daily wildfire growth risk in California. Nature, doi: 10.1038/s41586-023-06444-3nature.com/articles/s4158…
Full-text access to view only version: rdcu.be/dkMyN
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I have a paper out today highlighting an error in the climate impacts literature that leads to major exaggerations of the influence of climate change on extreme weather impacts.
This error originated in the journal Nature, has been endorsed by the IPCC, and it undergirds some of the most attention-grabbing headlines assigning deaths and dollars to climate change. For example, the error provides the foundation for the following headlines:
“Climate crisis to blame for $67bn of Hurricane Harvey damage - study”.
When extreme precipitation or a drought occurs, it is often reflexively reported to have been “made worse,” “intensified,” or “driven” by climate change.
But could it have been made less intense by climate change?
How confident are we in the influence of increased greenhouse gasses on changes in extreme precipitation and droughts? It turns out, not very confident.
We use climate models to assess the influence of increased greenhouse gas concentrations on weather events.
There are dozens of models that differ slightly in their construction and, thus their output.
The *range* of output from models serves as a proxy for our uncertainty on how something like extreme precipitation or drought is changing under increased greenhouse gas concentrations
I have had many threads pushing back against mainstream narratives that portray climate change as having an apocalyptic impact on *people* and happening *currently*.
A couple colleagues have asked me why I choose to focus on this...
The main reasons that I feel compelled to focus on correcting these apocalyptic narratives are that I think they:
1) are not supported by the research
2) are very influential (parroted by the highest level decision-makers in both the private sector and the government) and can have negative consequences.
3) are not pushed back against by many other climate scientists
I have been reading the IPCC's Chapter 5 of Working Group 2 (WG2) on food fiber and other ecosystem products. These WG2 chapters inform the synthesis report which was released last week and produced quite dramatic coverage like this.
I count myself among those depressed by the report, but not for the reasons you might think. As a climate scientist, with 9 of my own research papers referenced in the WG1/WG2 IPCC report, I value sober, even-handed analysis above all else.
My background is in meteorology, but I now mainly study climate change impacts on society. I notice a significant difference in goals between these fields.
In meteorology, the goal is often to identify the most critical drivers of phenomena to better understand how they work...
In contrast, in climate change impacts research, the goal is often to identify the most critical drivers only so that they can be "controlled for" or ignored, allowing one to highlight the hidden impact of climate change.
For example, in meteorology classes, we teach students to perform "scale analysis" on the governing equations of the atmosphere.
Damaging flooding in the US caused by extreme rainfall is often covered as if it has taken on a new character b/c of global warming. But do historical trends in extreme rainfall show that there has been a massive increase in magnitude? No, not really. Let’s take a look.
Global warming’s general enhancement of extreme precipitation is widely accepted due to the fundamental physics that warmer air holds more water vapor. But ‘enhancement’ just refers to the direction of change, not the magnitude.
When thinking about the influence of global warming, it’s really the magnitude of the enhancement relative to natural variability that we care about.