#loss — Public Fediverse posts on home.social

2026-10-15

"As with her ashes, putting the murder into her possession feels off to me. Did she own it? Was it part of her? It wasn’t something she could claim, like a package or a piece of luggage."

A new essay from Daniel Barnum, co-published with the literary magazine AGNI: https://longreads.com/2026/10/15/mother-museum-skulls-grief-agni/?utm_source=mastodon&utm_medium=social

#Longreads #Essay #Death #Museums #Skulls #Grief #Loss #Macabre

#longreads #essay #death #museums #skulls #grief

💧🌏 Greg Cocks @[email protected]

2026-10-15

Spatiotemporal Shifts In Composite Weather Stress Across US Croplands
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https://doi.org/10.1088/1748-9326/aead01 <-- shared paper
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https://zenodo.org/records/20218887 <-- shared (open) data
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https://impact.ornl.gov/en/datasets/weather-stress-reduces-resilience-and-stability-of-us-croplands/ | https://doi.org/10.5281/zenodo.18749881 <-- shared ORNL technical article and data
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https://doi.org/10.1038/s41598-025-33916-5 <-- shared paper
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H/T @Srishti Vishwakarma | extreme weather stress| crop | agriculture | machine learning, network science, and statistics
“[The authors:]
• Developed a multi-stressor framework with 32 agriculture-relevant weather indices and integrated them into two composite metrics: Weather Stress Divergence and Weather Stress Similarity, capturing deviations from and spatial correspondence with historical weather stress patterns.
• Using an agroecological-zone-specific weighted averaging framework, the framework minimized index redundancy while accounting for the regional importance of individual stressors.
• Adapted the concept of climate velocity to an agricultural context to assess how current weather stress patterns differ from historical conditions and how their spatial correspondence is changing over time.
KEY FINDINGS:
🌾 More than 50% of CONUS cropland experienced increasing weather stress divergence.
🌡️ Drought and extreme heat were the primary contributors to high divergence.
📉 Current weather regimes are becoming increasingly dissimilar to historical patterns…”
#US #cropland #foodsecurity #weather #spatiotemporal #spatialanalysis #metrology #weatherstress #agriculture #farming #WeatherStressDivergence #WeatherStressSimilarity #geostatistics #agroecology #climatevelocity #historic #change #CONUS #weatherstressdivergence #drought #extremeheat #extremeweather #water #hydrology #rainfall #precipitation #climatechange #weatherpatterns #cropproduction #economics #costs #loss #uncertainty #flood #flooding #temperature #heat #cold #evapotranspiration #ET #GIS #spatial #mapping #historicalbaseline #corn #soybean #wheat #yield #production #adaptivemanagement #weatherstressmetrics #riskassessment #planning