How Space Weather Could Bust The AI Boom
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https://spacenews.com/how-space-weather-could-bust-the-ai-boom/ <-- shared technical article
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https://futurism.com/artificial-intelligence/ai-data-centers-electric-grid-meltdown <-- shared technical article, “AI Data Centers Pushing Electric Grid Into Meltdown”
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https://doi.org/10.1146/annurev-earth-032524-012356 <-- shared 2026 paper, “Magnetic Storms and Geoelectric Hazards”
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#AI #datcenters #infrastructure #impacts #solarstorms #spaceweather #risk #hazards #overloading #electricity #energy #powersupply #energygrid #vulnerable #transmission #energy #demand #consumers #geoelectrical #geomagnetism #blackout #damage #cost #economics #equipment #transformers #carringtonevent #NERC #grid #reliability #electricaldemand #utilities #magneticstorm #electromagneticinduction #extremeevent #historicalevent #hazardanalysis #spaceweather #history #Carrington #geoelectric #humanimpacts #risk #hazard #monitoring #network #geology #geomagnetism #impedance #rock #soil #utilities #electricaltransmission #powerlines #magnetotelluric #sensor #blackout #brownout #energy #geoelectrichazard #geoelectric #GIS #spatial #mapping #spatialanalysis #spatiotemporal #model #modeling #geomagnetism #geomagneticstorm #telecommunication #electronics #hardened #geography #mitigation #preparedness #geomorphology #geomorphometry #surfacegeology #cost #economics #disaster #impacts #technology #InternetOfThings #internet #USA #review #CONUS #numericalmodeling #realtimemonitoring #AIBoom #Bust
@North American Electric Reliability Corporation (NERC)
Wie sah Google Maps zum Start 2005 aus? / What did Google Maps look like when it launched in 2005? https://geoobserver.de/2026/06/26/wie-sah-google-maps-zum-start-2005-aus/ #google #maps #googlemaps #gistribe #gischat #fossgis #foss4g #OSGeo #spatial #geospatial #gis #geo #geoObserver pls RT

A project one of our #ISAWNYU PhD students (Stefano Aprà) has been building:

Trajecta is a spatial analysis engine focusing on Least-Cost Analysis (LCA), currently under development. It enables fast and efficient computation of tasks such as FETE (From-Everywhere-To-Everywhere) analysis and LCPA (Least-Cost Path Analysis). The software is free and open-source under GPL-3 license.

https://github.com/ArcheoHacker1501/trajecta

#spatial #GIS #LCP #LCPA

GitHub - ArcheoHacker1501/trajecta: Trajecta is a spatial analysis engine focusing on Least-Cost Analysis (LCA), currently under development. It enables fast and efficient computation of tasks such as FETE (From-Everywhere-To-Everywhere) analysis and LCPA (Least-Cost Path Analysis). The software is free and open-source under GPL-3 license.

Trajecta is a spatial analysis engine focusing on Least-Cost Analysis (LCA), currently under development. It enables fast and efficient computation of tasks such as FETE (From-Everywhere-To-Everywh...

GitHub
Ein Gastbeitrag: 3000 x geoObserver-News & 14. Geburtstag! / A guest post: 3,000 geoObserver News updates & our 14th birthday! https://geoobserver.de/2026/06/25/ein-gastbeitrag-3000-x-geoobserver-news-und-14-geburtstag/ #gistribe #gischat #fossgis #OSGeo #spatial #geospatial #opensource #opendata #osm #openstreetmap #gis #geo #geoObserver pls RT
Compound Hydrogeomorphic Cascades And Rapid Upstream To Downstream Hazard Coupling In The Eastern Himalaya
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https://doi.org/10.1038/s41598-026-52915-8 <-- shared paper
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https://doi.org/10.5194/esurf-13-1281-2025 <-- shared paper
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https://doi.org/10.1007/s11069-025-07766-3 <-- shared paper
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[I recognise that the photo is instead for the floods, etc in Lubra, Nepal - but felt it better showed the hydrogeomorphical setting (sic) for the 'casual' post viewer...]
H/T @Kuldeep Dutta
“In hilly regions transitioning rapidly to low gradient alluvial plains, localized hydrometeorological triggers can instantly scale into devastating basin wide disasters. This study dissects the September 2020 cascading hazard in parts of the Arunachal Pradesh-Assam corridor to quantify the rapid coupling between upstream hillslopes and downstream floodplains…”
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“Extreme precipitation in the Eastern Himalaya is increasingly associated with coupled hillslope-floodplain hazards. This study examines the 17th-18th September 2020 rainfall event in Arunachal Pradesh initiating landslides and its downstream impacts in Assam, India, using multi-sensor satellite data and long-term rainfall records. Sentinel-2 imagery was used to map landslides and debris flows, Sentinel-1 SAR data to delineate flood extent, and IMD gridded rainfall (1996–2020) to analyse rainfall spell characteristics. The event triggered widespread slope failures, localized landslide damming, and a subsequent breach, generating sediment-laden flows that inundated ~ 100 km2 of the Dhemaji floodplain. A backscatter-derived Relative Flood Volume Index (RFVI) indicates spatial variability in inundation intensity, although it does not represent absolute flood volume. Rainfall analysis suggests that antecedent wetness from preceding spells preconditioned slopes, while peak daily rainfall (> 170 mm/day/) initiated landsliding. Power-law scaling shows negligible dependence of intensity on duration (R² ≈ 0.0004), whereas cumulative rainfall exhibits a stronger relationship with duration (R² ≈ 0.54). These results indicate distinct roles of rainfall intensity and accumulation in controlling landslide initiation and downstream flooding, respectively, highlighting the importance of compound rainfall forcing in rapid hydrogeomorphic cascades...”
#EarthScience #RemoteSensing #Himalayas #NaturalHazards #ClimateChange #ScientificReports #GeospatialAnalysis #DisasterMitigation #Landslide #Flooding #alluvial #fluvial #water #hydrology #hydrography #flood #flooding #spatialanalysis #spatiotemporal #mountain #plain #hydrometeorological #hydrogeomorphology #ArunachalPradesh #Assam #India #hillslope #floodplain #rainfall #precipitation #extremeweather #engineeringgeology #massmovement #landslide #debrisflow #risk #hazard #monitoring #GIS #spatial #mapping #remotesensing #satellite #Sentinel #sedimentation #humanimpacts #infrastructure #damage #cost #economics #public #safety #model #modeling #downstream