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#climaterisk — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #climaterisk, aggregated by home.social.

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  1. #ClimateRisk

    Anyway, hopefully the barley growers are converting half of their stover into biochar and putting it down into their soils so that they can better withstand these droughts of this new climate we've created.

    RE: https://bsky.app/profile/did:plc:dz3ux3woqtbbapsapt6esrhp/post/3mvqihamctxq2

  2. Did you know that insured losses from severe convective storms (SCS) have increased significantly over the past decade – driven primarily by socio-economic development, exposure growth, vulnerability, and loss-cost inflation, with climate change acting as an additional risk driver.

    Click here to read “Severe Convective Storms in a Changing Climate: Uncertainties in risk views across North America and Europe”: journalofcrr.com/research/04-0

    #ClimateChange #ClimateRisk #RiskModelling

  3. The uninsurable coastline: Australia’s growing coverage gap

    That assessment aligns with findings from APRA’s Insurance Climate Vulnerability Assessment (CVA), published in March 2026. Working with…
    #NewsBeep #News #Australia #AU #climaterisk #coastalflooding #protectiongap
    newsbeep.com/au/886892/

  4. Copernicus confirmed Western Europe’s warmest summer on record.

    As I told Montel today, this is an operational signal for Europe's energy system, not just climate data. We are in a "compound-risk" reality: cooling demand surges while heat and drought squeeze hydro and water-dependent baseload.

    From Romania’s Danube lows to the steep evening ramps we just debated in Greece, integrating weather and water risk into grid planning is now essential.

    #Energy #PowerMarkets #ClimateRisk

  5. In this recently published paper on #JCRR, authors Neil Aellen, Swiss Re; Andreas Prein, Institute of Atmospheric and Climate Science; and Elisabeth Viktor, Swiss Re, synthesise current evidence on historical trends and future changes in the principal SCS sub-perils relevant for #CatastropheModelling: hail, #tornadoes, damaging straight-line winds including derechos, and SCS-related extreme precipitation: journalofcrr.com/research/04-0

    What are your thoughts on their findings?

    #ClimateRisk

  6. A couple of weeks ago, Romania shut down its biggest nuclear plant — the Danube ran too low to cool it.

    This week, the same country cleared the final hurdle for what's set to become the EU's largest solar plant: Dama Solar, ~1.2GW, with batteries attached.

    Same summer. Same grid. Opposite headlines.

    Heat and drought are bad news for a lot of power systems. They're clearly good news for the technology least bothered by either.

    #Romania #Solar #EnergyTransition #ClimateRisk

  7. A new study from an international research team, including WorldPop at the University of Southampton, introduces the Chinese Multi-Hazard Early Warning Dataset - over one million official warning records (2022–2025) across four administrative levels. The open dataset supports research into risk communication, disaster preparedness and resilience.

    worldpop.org/blog/researchers-

    #OpenData #DisasterRiskReduction #EarlyWarning #ClimateRisk #Hazards #Resilience #ResearchData

  8. In our latest peer-reviewed research paper, authors Neil Aellen, Swiss Re; Andreas Prein, Institute of Atmospheric and Climate Science; and Elisabeth Viktor, Swiss Re, synthesise current evidence on historical trends and future changes in the principal severe convective storms (SCS) sub-perils relevant for catastrophe modelling: #hail, #tornadoes, damaging straight-line winds including derechos, and SCS-related extreme precipitation.

    journalofcrr.com/research/04-0

    #ClimateChange #ClimateRisk

  9. The article reviews the methods and datasets used in developing each model component, as well as the operational set up required to deploy Metryc in real-time.

    As a #DiamondOpenAccess article, this paper is free to read and download: journalofcrr.com/research/04-0

    #ClimateChange #ClimateRisk #CatastropheModels #Hurricanes #TropicalCyclone

  10. Refined Modeling of Arctic Circumpolar Building Stock Increases Estimated Mid-Century Permafrost Degradation Damages
    --
    doi.org/10.1029/2026EF008578 <-- shared paper
    --
    thearcticinstitute.org/climate | thearcticinstitute.org/dwindli <-- shared technical articles
    --
    theguardian.com/cities/2016/oc <-- shared media article
    --
    news.grida.no/new-map-shows-ex <-- shared technical article
    --
    H/T @elias Manos
    “Why the increase?
    Our understanding of climate risk is only as good as our understanding of our exposure to hazards. The better we can account for what is at risk, the better we can measure risk in a changing world.
    In this new study [link above], [they] investigate[d] how damage to the building stock across the Arctic, a key impact of permafrost degradation, is underestimated because of underdeveloped exposure information. With National Science Foundation (NSF) supercomputers and 400 TB of Vantor satellite imagery, [they] detected building footprints across the Arctic and classified their use types using deep learning models. Then, using Polar Geospatial Center's ArcticDEM digital surface model, [they] estimated the total floor space of each residential building. This move from 2D to 3D representation of the building stock was the largest contributor to increased building damage.
    Properly estimating this consequence is necessary for understanding the near future of the Arctic economy. Knowing the magnitude of damages is critical for sustaining the communities and livelihoods of more than 5 million people that call the Arctic home. There are also much broader implications. With the Arctic continuing to emerge as a strategic centerpiece in global affairs and the global economy, accurately quantifying the physical shocks to its built environment will allow researchers to more effectively represent the Arctic in global climate economic models. More precise international policymaking will also be enabled by these improvements.
    Ultimately, this research highlights a similar challenge in completely different regions of the world (e.g., Southeast Asia, Sub-Saharan Africa) where exposure is constantly evolving alongside rapid population growth and urbanization. Building stock information can quickly become outdated as these changes occur; satellite remote sensing and AI are key players in keeping up with these changes and supporting data-driven disaster risk management…”
    #arctic #circumpolar #permafrost #model #modeling #spatialanalysis #spatiotemporal #GIS #spatial #mapping #melting #degradation #damage #cost #economics #risk #hazard #climaterisk #climatechange #remotesensing #HPC #earthobservation #ArcticDEM #buildingfootprint #LLM #AI #machinelearning #engineering #economy #buildingstock #community #policy #planning #geopolitics #risk #management @UConn Research

  11. #JCRR RESEARCH ARTICLE NOTIFICATION: Our latest peer-reviewed research is now live!

    In this article, authors Balaji Mani, Thomas Loridan, Nicolas Bruneau, Nic Hannah, and David Schmid, Reask LTD, introduce “Metryc”, a probabilistic modelling system designed to capture the distribution of spatial wind risk at landfall in terms of local-scale wind gusts.

    As a #DiamondOpenAccess article, this paper is free to read and download: journalofcrr.com/research/04-0

    #ClimateChange #ClimateRisk #Hurricanes

  12. MANUSCRIPT UPDATE: We are excited to announce that we will shortly be publishing a new research article!

    Make sure to keep an eye on the #JCRR social media accounts and website for more!

    journalofcrr.com/

    #DiamondOpenAccess #ClimateChange #ClimateRisk #RiskModelling

  13. Latest from our @[email protected] a new study finds sharp declines in Amu Darya flows, raising deeper concerns for Tajikistan and the downstream countries that depend on the river https://ow.ly/oAJQ50ZjJyX #WaterSecurity #AmuDarya #ClimateRisk #Tajikistan CentralAsia #WaterCrisis

    New Study Finds Sharp Decline ...