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#permafrost — Public Fediverse posts

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

  1. #Steady #Klimacrew

    Ein KI-Modell des #AWI soll helfen, den globalen #Kohlenstoffkreislauf besser zu verstehen – von den tropischen #Regenwälder​n bis zum tauenden #Permafrost.

    Komplexe Rückkopplungen im #Erdsystem sollen besser erfasst und fundiertere Prognosen ermöglicht werden. Mit großen Datenmengen, etwa der #Erdfernerkundung und Biomasse-Infos, wird das Modell trainiert.

    tino-eberl.de/nutzen-kuenstlic

    #Klimamodell #KINutzen #Retröt

  2. Challenges In The Use Of Local Data For Regional Scale Mapping Of C And N Stocks In The Continuous Permafrost Zone At The Yukon Coastal Plain | Heatwave Risks To Tipping Point Of Permafrost
    --
    doi.org/10.5194/soil-12-113-20 <-- shared paper
    --
    doi.org/10.1038/s41558-026-026 <-- shared paper
    --
    theguardian.com/environment/20 <-- shared media article
    --
    cbc.ca/news/canada/north/perma <-- shared media article
    --
    [putting together two different ‘sorts’/focuses of research/reporting, but…]
    H/T @gustaf Hugelius | Professor at Stockholm University
    --
    “Permafrost soils are particularly vulnerable to climate change. To assess and improve estimations of carbon (C) and nitrogen (N) budgets it is necessary to accurately map soil carbon and nitrogen in the permafrost region. In particular, soil organic carbon (SOC) stocks have been predicted and mapped by many studies from local to pan-Arctic scales. Several studies have been carried out at the Canadian Beaufort Sea coast, though no regional maps of terrestrial carbon stocks based on spatial modelling has been conducted yet. This study combines available field data from the Canadian Yukon coastal plain and uses it to map regional SOC and N stocks using the machine learning algorithm random forest and environmental variables based on remote sensing data. [The authors] developed models using the data for the entire region and separate models for the coastal mainland area and Qikiqtaruk Herschel Island. Each model was used to map SOC and N stocks for its respective area. [They] assessed the performance of the different random forest models by using crossvalidation. [They] further assessed model results using the Area of Applicability (AOA) method and the quantile regression forest approach, comparing the results and discussing their implications within the context of both methods. [They] explore[d] local differences in soil properties and how soil data distribution across the region affects the accuracy of the predictions of SOC and N stocks..."
    #permafrost #soils #geology #climatechange #temperature #thawing #melting #emissions #CO2 #methane #carbon #nitrogen #GIS #spatial #mapping #Qikiqtaruk #HerschelIsland #Yukon #Canada #soilorganiccarbon #SOC #arctic #cryosphere #BeaufortSea #coast #coastal #machinelearning #model #modeling #remotesensing #earthobservation #carbonstocks #island #mainland #spatialanalysis #scale

  3. Challenges In The Use Of Local Data For Regional Scale Mapping Of C And N Stocks In The Continuous Permafrost Zone At The Yukon Coastal Plain | Heatwave Risks To Tipping Point Of Permafrost
    --
    doi.org/10.5194/soil-12-113-20 <-- shared paper
    --
    doi.org/10.1038/s41558-026-026 <-- shared paper
    --
    theguardian.com/environment/20 <-- shared media article
    --
    cbc.ca/news/canada/north/perma <-- shared media article
    --
    [putting together two different ‘sorts’/focuses of research/reporting, but…]
    H/T @gustaf Hugelius | Professor at Stockholm University
    --
    “Permafrost soils are particularly vulnerable to climate change. To assess and improve estimations of carbon (C) and nitrogen (N) budgets it is necessary to accurately map soil carbon and nitrogen in the permafrost region. In particular, soil organic carbon (SOC) stocks have been predicted and mapped by many studies from local to pan-Arctic scales. Several studies have been carried out at the Canadian Beaufort Sea coast, though no regional maps of terrestrial carbon stocks based on spatial modelling has been conducted yet. This study combines available field data from the Canadian Yukon coastal plain and uses it to map regional SOC and N stocks using the machine learning algorithm random forest and environmental variables based on remote sensing data. [The authors] developed models using the data for the entire region and separate models for the coastal mainland area and Qikiqtaruk Herschel Island. Each model was used to map SOC and N stocks for its respective area. [They] assessed the performance of the different random forest models by using crossvalidation. [They] further assessed model results using the Area of Applicability (AOA) method and the quantile regression forest approach, comparing the results and discussing their implications within the context of both methods. [They] explore[d] local differences in soil properties and how soil data distribution across the region affects the accuracy of the predictions of SOC and N stocks..."
    #permafrost #soils #geology #climatechange #temperature #thawing #melting #emissions #CO2 #methane #carbon #nitrogen #GIS #spatial #mapping #Qikiqtaruk #HerschelIsland #Yukon #Canada #soilorganiccarbon #SOC #arctic #cryosphere #BeaufortSea #coast #coastal #machinelearning #model #modeling #remotesensing #earthobservation #carbonstocks #island #mainland #spatialanalysis #scale

  4. Challenges In The Use Of Local Data For Regional Scale Mapping Of C And N Stocks In The Continuous Permafrost Zone At The Yukon Coastal Plain | Heatwave Risks To Tipping Point Of Permafrost
    --
    doi.org/10.5194/soil-12-113-20 <-- shared paper
    --
    doi.org/10.1038/s41558-026-026 <-- shared paper
    --
    theguardian.com/environment/20 <-- shared media article
    --
    cbc.ca/news/canada/north/perma <-- shared media article
    --
    [putting together two different ‘sorts’/focuses of research/reporting, but…]
    H/T @gustaf Hugelius | Professor at Stockholm University
    --
    “Permafrost soils are particularly vulnerable to climate change. To assess and improve estimations of carbon (C) and nitrogen (N) budgets it is necessary to accurately map soil carbon and nitrogen in the permafrost region. In particular, soil organic carbon (SOC) stocks have been predicted and mapped by many studies from local to pan-Arctic scales. Several studies have been carried out at the Canadian Beaufort Sea coast, though no regional maps of terrestrial carbon stocks based on spatial modelling has been conducted yet. This study combines available field data from the Canadian Yukon coastal plain and uses it to map regional SOC and N stocks using the machine learning algorithm random forest and environmental variables based on remote sensing data. [The authors] developed models using the data for the entire region and separate models for the coastal mainland area and Qikiqtaruk Herschel Island. Each model was used to map SOC and N stocks for its respective area. [They] assessed the performance of the different random forest models by using crossvalidation. [They] further assessed model results using the Area of Applicability (AOA) method and the quantile regression forest approach, comparing the results and discussing their implications within the context of both methods. [They] explore[d] local differences in soil properties and how soil data distribution across the region affects the accuracy of the predictions of SOC and N stocks..."
    #permafrost #soils #geology #climatechange #temperature #thawing #melting #emissions #CO2 #methane #carbon #nitrogen #GIS #spatial #mapping #Qikiqtaruk #HerschelIsland #Yukon #Canada #soilorganiccarbon #SOC #arctic #cryosphere #BeaufortSea #coast #coastal #machinelearning #model #modeling #remotesensing #earthobservation #carbonstocks #island #mainland #spatialanalysis #scale

  5. Challenges In The Use Of Local Data For Regional Scale Mapping Of C And N Stocks In The Continuous Permafrost Zone At The Yukon Coastal Plain | Heatwave Risks To Tipping Point Of Permafrost
    --
    doi.org/10.5194/soil-12-113-20 <-- shared paper
    --
    doi.org/10.1038/s41558-026-026 <-- shared paper
    --
    theguardian.com/environment/20 <-- shared media article
    --
    cbc.ca/news/canada/north/perma <-- shared media article
    --
    [putting together two different ‘sorts’/focuses of research/reporting, but…]
    H/T @gustaf Hugelius | Professor at Stockholm University
    --
    “Permafrost soils are particularly vulnerable to climate change. To assess and improve estimations of carbon (C) and nitrogen (N) budgets it is necessary to accurately map soil carbon and nitrogen in the permafrost region. In particular, soil organic carbon (SOC) stocks have been predicted and mapped by many studies from local to pan-Arctic scales. Several studies have been carried out at the Canadian Beaufort Sea coast, though no regional maps of terrestrial carbon stocks based on spatial modelling has been conducted yet. This study combines available field data from the Canadian Yukon coastal plain and uses it to map regional SOC and N stocks using the machine learning algorithm random forest and environmental variables based on remote sensing data. [The authors] developed models using the data for the entire region and separate models for the coastal mainland area and Qikiqtaruk Herschel Island. Each model was used to map SOC and N stocks for its respective area. [They] assessed the performance of the different random forest models by using crossvalidation. [They] further assessed model results using the Area of Applicability (AOA) method and the quantile regression forest approach, comparing the results and discussing their implications within the context of both methods. [They] explore[d] local differences in soil properties and how soil data distribution across the region affects the accuracy of the predictions of SOC and N stocks..."
    #permafrost #soils #geology #climatechange #temperature #thawing #melting #emissions #CO2 #methane #carbon #nitrogen #GIS #spatial #mapping #Qikiqtaruk #HerschelIsland #Yukon #Canada #soilorganiccarbon #SOC #arctic #cryosphere #BeaufortSea #coast #coastal #machinelearning #model #modeling #remotesensing #earthobservation #carbonstocks #island #mainland #spatialanalysis #scale

  6. Rock Weathering Can Counteract River CO2 Emissions Induced By Permafrost Thaw
    --
    doi.org/10.1038/s41586-026-106 <-- shared paper
    --
    H/T @aaron Bufe
    “[The researchers] measured carbon emissions and water chemistry in 50 headwater rivers draining 780,000 km² of the Tibetan Plateau.
    The rivers flow in landscapes underlain by continuous permafrost and landscapes in which the permafrost has retreated since the last glacial maximum. They collect[ed] organic carbon from soils and dissolved inorganic carbon that is fixed by rock-weathering.
    Where the permafrost cover is continuous, rivers emit CO2 from degrading (permafrost) soil carbon. Weathering reactions in these catchments are relatively slow.
    In landscapes with (almost) no permafrost, carbon fluxes from weathering are faster than CO2 emissions from rivers.
    Thus, as permafrost landscapes transition to landscapes without permafrost cover, chemical weathering reactions may play an ever more important role in riverine carbon cycling.
    Interestingly, weathering can affect the carbon cycle in different ways. Where sulfide minerals are present, weathering reactions can emit CO2. Where silicate minerals dominate, weathering draws down CO2 from the atmosphere…”
    --
    “Climate-induced permafrost thaw unlocks large stores of organic carbon that are mineralized and emitted as carbon dioxide (CO2) from rivers to the atmosphere. Concurrently, warming and permafrost thaw can increase mineral weathering rates, thus affecting the release and sequestration of inorganic carbon. Yet how these biological and geological carbon cycles interact and jointly affect CO2 dynamics (emission compared with drawdown) in permafrost rivers remains unknown. Here [they] combine[d] CO2 emissions, organic and inorganic solute concentrations, dual carbon isotopes (δ13C–Δ14C) and geochemical modelling to infer how permafrost thaw may affect river biogeochemistry over decades to centuries across the Qinghai–Tibet Plateau. Leveraging a gradient of thermal permafrost degradation, we find that river CO2 emissions decline, whereas solute fluxes from rock weathering increase with decreasing permafrost cover. Across this region, net CO2 drawdown fluxes from rock weathering are about 35% of river CO2 emissions, varying from around 15% in catchments with continuous permafrost to more than 100% in catchments with discontinuous or isolated permafrost. Thus, carbon fluxes from chemical weathering may become increasingly important with ongoing permafrost thaw, potentially even outpacing river CO2 emissions. [Their] findings disentangle the interplay between biological and geological carbon fluxes that are important for the cryosphere and the global carbon cycle…”
    #permafrost #melting #thaw #climatechange #warming #Tibet #TibetanPlateau #Qinghai #water #hydrology #carbonemissions #CO2 #emissions #waterchemistry #waterquality #cryosphere #sediment #sedimentation #weathering #rock #carbon #river #riverine #carboncyling #geochemistry #biology #geology #soil

  7. 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

  8. Aujourd'hui, c'est #BandcampFriday, le label #Permafrost offre 20% sur tout son catalogue, avec le code 𝐛𝐚𝐲𝐫𝐨𝐮𝐞𝐱𝐩𝐥𝐨𝐬𝐢𝐨𝐧 :

    lesdisquesdupermafrost.bandcam

    De quoi découvrir et aimer #RienVirgule

    #music #Bandcamp

  9. Wat een vreemd verhaal: alsof micro-organismen van duizenden jaren geleden nu gevaarlijker zouden zijn dan hun nu nog levende verre nazaten die een enorme selectiedruk ondergaan hebben door massaal ingezette antibiotica en anti-schimmel middelen in landbouw, veeteelt en humane geneeskunde.

    #Permafrost
    #Gletsjers
    #Microorganismen
    #Resistentie
    #VNrapport

    Eeuwenoude micro-organismen in smeltend ijs vormen risico volgens VN-rapport nu.nl/wetenschap/6362006/eeuwe

  10. Ein erneuter #Felssturz am Monte Marcora hat das Dorf San Vito di Cadore in eine dichte Staubwolke gehüllt.

    Dächer, Straßen und Autos sind mit einer weißen Schicht bedeckt. Einsatzkräfte sind im Dauereinsatz, Schäden wurden bislang nicht gemeldet. Der Staub reichte stellenweise bis nach #Cortina d’Ampezzo.

    Ihr möchtet mehr zu den steigenden Gefahren im #Hochgebirge erfahren?
    #Lesetipp: "Der #Klimawandel für Einsteiger", ISBN: 978-3-738-63782-3

    suedtirolnews.it/italien/wiede

    #Felsrutsch #Permafrost

  11. Felssturzgefahr im Wallis:

    Dorf #Blattten evakuiert

    Im #Lötschental im Schweizer Kanton #Wallis droht ein massiver #Felssturz. Ein ganzes Dorf musste aus Sicherheitsgründen kurzfristig evakuiert werden.

    5 Millionen Kubikmeter Gestein könnten in Bewegung geraten.

    #Permafrost
    #Alpen
    #Schweiz

  12. @MartinStendel

    Bio:

    Climate scientist at #DMI.

    Coordinator of PolarPortal (lots of up-to-date Arctic data) and ROPEWALK (huge Danish logbook digitization project together with @rigsarkivet).

    #ClimateChange in the Arctic, in particular #Greenland and in Africa, in particular #Tanzania.

    Modelling subsea #permafrost.

    Conveying science to the public: #IKFF #IKlimaforskernesFodspor #BestilEnForsker

    🇪🇺 with dual citizenship 🇩🇰 and 🇩🇪 and (occasionally) tooting in three languages.

  13. Ungewöhnlich hohe #Temperaturen und #Schneearmut haben mglw. einen massiven #Felssturz am #MonteRosa in #Italien verursacht. #Gesteinsmassen rollten hunderte Meter ins Tal.

    fr.de/panorama/verheerender-fe

    Glücklicherweise geschah das Unglück nachts, sodass keine Verletzten gemeldet wurden. Experten vermuten schmelzenden #Permafrost als Ursache. Die Bergrettung warnt vor weiteren Abstürzen und rät dringend, das Gebiet um die Pedriola-Alm zu meiden. #Klimawandel #Bergsicherheit #Alpen

  14. Eine neue Studie der #UniversitätHamburg zeigt, dass der #ArktischeOzean in Zukunft weniger CO₂ aufnehmen wird, als bisher angenommen. Durch die #Erosion von #Permafrost gelangen vermehrt Sedimente in den Ozean, die seine CO₂-Aufnahmefähigkeit um bis zu 15 Prozent verringern könnten. Der Verlust dieser Fähigkeit der Meere könnte langfristig die globale Erwärmung weiter anheizen.

    #Klimawandel #Arktis #CO2 #Klimaschutz #CO2Senke #Science

    nature.com/articles/s41558-024

  15. Eilisessä Kokkolan Talviharmonikan konsertissa kantaesitettiin Cecilia Damströmin haitarikonsertto Permafrost, ikirouta, areena.yle.fi/podcastit/1-6759

    Ihan kiva kuunneltuna. Oli kuulimma kuvaakin mukana, ja sitten tietysti selitystä (etenkin perästäpäin). Solistina toimi Sonja Vertainen, ja Keski-Pohjanmaan kammariorkesteria johti Jan Söderblom.

    Tuo kappale alkaa 25 minuutin ja päättyy 44:n kieppeillä.

    #konsertti #harmonikka #haitari #hanuri #kurttu #ensiesitys #yle #concert #premiere #permafrost #ikirouta

  16. @newscientist

    👉*The 5 Major Climate Tipping Points: *👈

    (5/n)

    ...crossing are:

    1) the loss of the #Greenland ice sheet,

    2) the demise of the West #Antarctic #IceSheet,

    3) the die-off of tropical #CoralReefs,

    4) the abrupt thaw of large areas of #Arctic #permafrost +

    5) the slowing of an #Ocean current known as the #NorthAtlanticSubpolarGyre."

    "Other #TippingPoints include

    6) the die-off of #SeagrassMeadows and #MangroveForests, and the

    7) collapse of #fisheries."

    "For some...

  17. Raurisertal: Warnung vor weiteren #Steinmuren

    Am Wochenende ist im #Raurisertal eine riesige Stein- und Schlammlawine abgegangen. Sie hat 24 Hektar Fläche vermurt, das sind rund 34 Fußballfelder.
    "Ich bin mir sicher, dass hier nicht nur der Regen, sondern auch das #Permafrost'problem eine Rolle spielt.“

    salzburg.orf.at/stories/322221

    #Österreich #Pinzgau #Alpen #Klimakrise #Kryosphäre

  18. Sie suchten Gold und fanden etwas viel selteneres: Ein fast vollständig erhaltenes mumifiziertes Wollhaarmammut-Baby. Forschende sind begeistert von dem Sensationsfund in Kanada.
    Goldgräber finden mumifiziertes Mammut-Baby | DW | 27.06.2022
    #Wollhaarmammut #Mammut #Goldsuche #Kanada #Permafrost #Paläontologie #Archäologie