The eupolicy.social admin @admin

**Greg Cocks** @GregCocks@techhub.social · Jan 10

Greg Cocks @GregCocks@techhub.social

A Shorter, Sharper Rainy Season Amplifies California Wildfire Risk
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https://doi.org/10.1029/2021GL092843 <-- shared paper
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https://doi.org/10.1029/2020GL090350 <-- shared paper
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[a paper from a few years ago, but very pertinent considering the horrific events in Los Angeles area in early 2025]

temporal charts - Delayed wet season onset increases autumn wildfire risk. Schematic figure qualitatively depicting (a) the seasonality of California precipitation, offshore winds, and vegetation flammability (b) how a delay in autumn precipitation onset can increase the temporal overlap between dry vegetation and peak offshore wind conditions, increasing the duration and severity of peak fire season. In both (a) and (b), the duration of peak fire season (from a vegetation flammability perspective) is represented by the width of the red rectangle. Schematic represents seasonality in northern California, where peak offshore winds and seasonal precipitation onset occur about 2 months earlier than in southern California.

photo - wildfire in Los Angeles, California - street view

map and chart - Increasing autumn vegetation flammability across California, 1979–2020. (a) Map depicts historical percentile of vegetation flammability as quantified using the Energy Release Component (ERC) in autumn (September–November) 2020. Dark brown colors (“Max”) represent regions where autumn 2020 ERC was the highest in the 41-year record. (b) Time series depicts historical values of California statewide ERC (September–November 1979–2020); trend line is result of a simple linear regression (trend is statistically significant at p < 0.001). Data from the GridMET database, obtained via climateengine.org.

maps - models - Composites of climatological mean December minus climatological mean October (1960–2015) for (a, b) Sea Level Pressure (SLP), (c) 200 hPa U wind, (d) 200 hPa eddy kinetic energy (EKE) including the composites of mean November difference (1988–2015 minus 1960–1987) for (e, f) SLP, (g) 200 hPa U wind, and (h) 200 hPa EKE. For all figures statistical significance of the difference at the 90% level is indicated by bold red contour line. Figures 4b and 4f are showing observed SLP (Trenberth and Paolino, 1980). All other Figure 4 are calculated using 20CR.

#GIS #spatial #mapping

**Ko-Fan Chen 陳克帆** @kofanchen@drosophila.social · Nov 25, 2024

Nov 25, 2024

Ko-Fan Chen 陳克帆 @kofanchen@drosophila.social

We have an exciting collaborative #PhD project for 2025 investigating the interacting relationship among #seasonality, #microbiota and #sleep the prospective student will work with Leicester Neurogenetic group @NeurogeneticsLeicester and @MarkHanson

please boost and contact me directly for more details (applicant from around the world!)

project description can be found in

https://www.kofanchenlab.net/drosophila-species

https://le.ac.uk/study/research-degrees/funded-opportunities/bbsrc-mibtp

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#seasonality