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#numericalmodel — Public Fediverse posts

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  1. 💧🌏 Greg Cocks @[email protected] ·

    Permafrost Distribution, Degradation, And Potential Mass Movement Cascades In The Western Himalaya Using Machine Learning And Numerical Models
    --
    doi.org/10.1038/s44304-026-002 <-- shared paper
    --
    doi.org/10.1038/s41598-025-220 <-- shared (earlier) paper
    --
    doi.org/10.1080/2150704X.2025. <-- shared (earlier) paper
    --
    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

    #kinnaur #permafrost #distribution #gis #spatial #mapping
  2. 💧🌏 Greg Cocks @GregCocks ·

    Permafrost Distribution, Degradation, And Potential Mass Movement Cascades In The Western Himalaya Using Machine Learning And Numerical Models
    --
    doi.org/10.1038/s44304-026-002 <-- shared paper
    --
    doi.org/10.1038/s41598-025-220 <-- shared (earlier) paper
    --
    doi.org/10.1080/2150704X.2025. <-- shared (earlier) paper
    --
    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 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…”

    #kinnaur #permafrost #distribution #gis #spatial #mapping
  3. 💧🌏 Greg Cocks @[email protected] ·

    Velocity And Calving Response Of A Major Greenland Ice Stream To A Lake Drainage Event
    --
    doi.org/10.1038/s41561-025-018 <-- shared paper
    --
    #cryosphere #glacier #glacial #greenland #velocity #calving #remotesensing #earthobservation #GIS #spatial #mapping #GPS #GNSS #radar #SermeqKujalleq #Kangia #JakobshavnIsbræ) #KalaallitNunaat #icestream #spatialanalysis #spatiotemporal #GLOF #glaciallake #drainage #subglacial #flood #flooding #arctic #warming #climatechange #flowdynamics #numericalmodel #model #modeling #fieldobservation

    #cryosphere #glacier #glacial #greenland #velocity #calving
  4. 💧🌏 Greg Cocks @GregCocks ·

    Velocity And Calving Response Of A Major Greenland Ice Stream To A Lake Drainage Event
    --
    doi.org/10.1038/s41561-025-018 <-- shared paper
    --
    )

    #cryosphere #glacier #glacial #greenland #velocity #calving
  5. rexi @[email protected] ·

    phys.org/news/2025-01-scientis

    "Our findings shed light on mechanisms that were previously overlooked, offering new pathways for carbon management. It was amazing to see how the combination of a new #numericalmodel, Monte Carlo, and AI provided crucial insight into the preservation of organic matter in marine sediments that had been debated for decades.

    " #AI, often seen as a black box, became a powerful tool when applied in the right way, helping us understand complex environmental processes."

    #numericalmodel #ai
  6. rexi @[email protected] ·

    phys.org/news/2025-01-scientis

    "Our findings shed light on mechanisms that were previously overlooked, offering new pathways for carbon management. It was amazing to see how the combination of a new #numericalmodel, Monte Carlo, and AI provided crucial insight into the preservation of organic matter in marine sediments that had been debated for decades.

    " #AI, often seen as a black box, became a powerful tool when applied in the right way, helping us understand complex environmental processes."

    #numericalmodel #ai
  7. American Naturalist @[email protected] ·

    Now available ahead of print! "A Numerical Model Supports the Evolutionary Advantage of Recombination Plasticity in Shifting Environments" by Rybnikov et al. journals.uchicago.edu/doi/10.1

    #evolution #advantage #recombination #plasticity #numericalModel

    #evolution #advantage #recombination #plasticity #numericalmodel
  8. American Naturalist @[email protected] ·

    Now available ahead of print! "A Numerical Model Supports the Evolutionary Advantage of Recombination Plasticity in Shifting Environments" by Rybnikov et al. journals.uchicago.edu/doi/10.1

    #evolution #advantage #recombination #plasticity #numericalModel

    #evolution #advantage #recombination #plasticity #numericalmodel