https://www.theguardian.com/environment/2026/jun/24/as-temperatures-soar-in-baking-britain-how-are-workers-coping-in-the-heat; https://www.theguardian.com/environment/2026/jun/23/searing-uk-heat-leaves-schools-hospitals-and-transport-networks-struggling-to-cope; https://www.theguardian.com/education/2026/jun/24/failure-to-plan-for-rising-temperatures-has-left-uks-schools-sweltering. There is a difference between #mitigation & #adaptation, which you are confusing here, @guardian. Furthermore, it isn't the #schools themselves that are to blame for the architectural #designs of #buildings that have been foisted on them, but those in #authority who insisted on those designs. You might as well blame the schools for the #climatecrisis itself!

🧵As #SB64 enters its final hours, negotiators are still struggling to resolve key political questions on #Adaptation, #Mitigation and the new #JustTransition Mechanism.

Environment Auckland [New Zealand] Data Portal [incl. spatial]
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https://environmentauckland.org.nz/Data <-- shared link to data portal
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https://ourauckland.aucklandcouncil.govt.nz/news/2025/09/soe-report-2025/ <-- shared 2025 report link
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https://coastalmonitoringac.netlify.app/ <-- shared Auckland Council Beach Monitoring Program page
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[ancetodal: a VERY long time ago I was an intern Engineering Geologist at the Auckland Council, although it was ARC back then 😊 ]
H/T @David Wright | Senior Field Hydrologist, Hydrology And Data Management Team
“This portal contains primary data from Auckland Council’s State of the Environment monitoring programmes.
Te Kaunihera o Tāmaki Makaurau / Auckland Council's Environmental Evaluation and Monitoring Unit carries out environmental monitoring across the region. [They] have been collecting information about Auckland’s environment for more than 30 years and have more than 1,000 monitoring sites across the region. [Their] comprehensive monitoring programmes build a picture of the health of Auckland’s environment, track changes and identify issues...”
#opendata #Auckland #NewZealand #GIS #spatial #mapping #dataportal #localgovernment #publicservice #publicgood #ratepayers #StateoftheEnvironment #monitoringprogrammes #environment #water #hydrology #waterquality #waterresources #intergration #environmentalmonitoring #airquality #coast #coastal #development #construction #engineering #sediment #biology #biodiversity #ecology #habitat #monitoring #spatialanalysis #spatiotemporal #estuary #river #stream #marine #mitigation #identification
@Auckland Council

Permafrost Distribution, Degradation, And Potential Mass Movement Cascades In The Western Himalaya Using Machine Learning And Numerical Models
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https://doi.org/10.1038/s44304-026-00217-4 <-- shared paper
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https://doi.org/10.1038/s41598-025-22051-w <-- shared (earlier) paper
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https://doi.org/10.1080/2150704X.2025.2488532 <-- shared (earlier) paper
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H/T @abhinav Alangadan
“Can we develop a first-order understanding of permafrost degradation and glacial lakes exposed to degradation-induced mass movements in the Himalaya?
[The authors] tried to address this question. The study [first link above] integrates machine learning, statistical modeling, and numerical modeling to investigate high-resolution permafrost distribution, potential degradation, and associated mass-movement hazards in the Kinnaur district of Himachal Pradesh, India.
Using rock glaciers as proxies, [they] generated a high-resolution permafrost distribution using machine learning, while potential degradation zones were delineated using the 0°C isotherm as a first-order indicator. [They] further identified glacial lakes located near potentially degrading permafrost zones and reconstructed their bathymetry. A detailed scenario-based GLOF process-chain simulation was then carried out for Kashang Lake using r.avaflow and HEC-RAS.
[Their] results indicate that seven glacial lakes in #Kinnaur are located close to potentially degrading permafrost zones. The simulations further show that a potential GLOF from Kashang Lake could inundate critical downstream infrastructure, including nearly 11 km of National Highway 5…”
#permafrost #distribution #GIS #spatial #mapping #Himalayas #India #Kinnaur #HimachalPradesh #KashangLake #massmovement #engineeringgeology #machinelearning #AI #model #modeling #numericalmodel #glaciallakes #glaciet #glacial #glaciallakeoutburstflood #GLOF #cryosphere #geostatistics #rockglaciers #GeoAI #bathymetry #processchainsimulation #HECRAS #avaflow #risk #hazard #mitigation #riskassessment #infrastructure #HEP #publicsafety #downstream #avalanche

Study Highlights Growing Importance Of Multi-Day Storms In Future U.S. Flood Risk
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https://news.okstate.edu/articles/engineering-architecture-technology/2026/study-highlights-growing-importance-of-multi-day-storms-in-future-u.s.-flood-risk <-- shared technical article
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https://doi.org/10.1088/2752-5295/ae4f14 <-- shared paper
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“Extreme rainfall is projected to intensify as the climate warms, yet whether the greatest increases will occur in multi-day or single-day events remains uncertain. This knowledge gap is particularly pressing given recent catastrophic floods triggered by multi-day rainfall events, prompting the question of whether multi-day events could, in fact, intensify more than their daily counterparts, and by how much. This study addresses this question using an ensemble of 34 downscaled Earth System Models under two Shared Socioeconomic Pathways (SSP2-4.5 and SSP5-8.5), focusing on changes in extreme rainfall by the end of the century across ten regions of the contiguous United States. [Their] statistical framework evaluates model agreement, ensemble-mean changes, and the significance of these changes for both daily and multi-day rainfall extremes. Results show that extreme rainfall amounts are expected to increase for most regions and durations. The degree of intensification, however, depends strongly on event rarity and regional climate characteristics. Notably, in the U.S. western Gulf Coast region, very rare multi-day events (e.g., 500 year return period) are projected to intensify more than their daily counterparts, a phenomenon that could be explained by increased stalling of tropical cyclones, which can prolong heavy rainfall over multiple days. These results challenge the assumption that daily extremes dominate future risk and highlight the need to consider event duration when updating flood-hazard maps, design standards, and adaptation planning…”
#Flooding #FloodRisk #FloodInsurance #FloodAwareness #Explore #FloodPreparedness #FlashFlooding #ClimateResilience #climatechange #extremeweather #DisasterPreparedness #StormwaterManagement #FloodSafety #CommunityResilience #risk #hazard #model #modeling #floodrisk #multiday #rainfall #precipitation #storm #water #hydrology #hydrography #planning #policy #regulations #climatemodel #CONUS #USA #publicsafety #cost #economics #damage #loss #infrastructure #spatiotemporal #spatialanalysis #earthsystemmodels #forecasting #meteorology #designstandards #floodmapping #mitigation #flood

Climate Warming and Ice Weakening Trigger Alpine Glacier Collapses - The Marmolada Case [Dolomites, Northern Italy]
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https://doi.org/10.1029/2025GL121279 <-- shared paper
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https://doi.org/10.5194/nhess-25-3027-2025 <-- shared technical article
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https://en.wikipedia.org/wiki/2022_Marmolada_serac_collapse <-- shared Wikipedia page
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[anecdotal – in the early 1990s, I chose to spend a winter as a ski bum/guide, living in Arabba, Dolomites, Sud Tyrol; I still remember the excellent days when I got to ski on the Marmolada]
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“PLAIN LANGUAGE SUMMARY: On 3 July 2022, a portion of the Marmolada glacier, near Punta Rocca, collapsed and caused the death of 11 mountaineers. This dramatic event had a considerable impact on the media, and authorities were concerned about the risk that other collapses might occur in this and other glaciers of the Dolomites, a well-renowned mountain region of the southeastern Alps and one of the UNESCO World Heritage sites. [They] analyzed the possible causes of the collapse by developing a three-dimensional thermo-mechanical model. The analysis concluded that the collapse was caused by increased internal ice temperature and the development of a dense network of fractures, reducing the ice shear strength, with melting water that possibly contributed by increasing the basal pressure. [They] also showed that collapsing conditions can be identified with a simplified model version approximating the sliding basal surface as a plane with a slope equal to the surface slope. The developed approach can be used in hazard identification and risk analysis of mountain glaciers…”
#EngineeringGeology #RockMechanics #GlacierCollapse #RiskAssessment #italy #Dolomites #SudTyrol #glacier #melting #massmovement #risk #hazard #analysis #Marmolada #glaciercollapse #cryosphere #warning #mitigation #hazardassessment #alpine #climatechange #globalwarming #massloss #instability #model #modeling #thermomechanical #spatialanalysis #temperature #parameters #ice #shearstrength #water #hydrology #hydrography #basal #waterpressure #meltwater #fracturing #riskanalysis #mountainglaciers

Magnetic Storms And Geoelectric Hazards
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https://doi.org/10.1146/annurev-earth-032524-012356 <-- shared paper / annual review
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#magneticstorm #electromagneticinduction #extremeevent #historicalevent #hazardanalysis #spaceweather #history #Carrington #geoelectric #humanimpacts #risk #hazard #monitoring #network #geology #geomagnetism #impedance #rock #soil #utilities #electricaltransmission #powerlines #magnetotelluric #sensor #magnetometer #blackout #brownout #energy #geoelectrichazard #geoelectric #geostatics #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