How do we evaluate the contribution of anthropogenic climate change to sea level rise from Antarctica?
https://doi.org/10.31223/X59W9K #EarthSciences #Glaciology #OtherOceanographyAndAtmosphericSciencesAndMeteorology #Glaciology #Attribution #Antarctica #Ice-sheets #WestAntarcticIceSheet #Ice-oceanInteractions
Eddy-mean flow interaction with a Multiple Scale Quasi Geostrophic model
https://doi.org/10.31223/X5KD4B #PhysicalSciencesAndMathematics #OceanModeling #EddyParametrization #QuasiGeostrophy #Mesoscale #SuperParametrization #Eddy-meanFlowInteraction
The Importance of Metabasic Rocks in Deep Nitrogen Cycling: Insights From Amphibolite and Epidote-Blueschists from the Qiangtang Metamorphic Belt, Central Tibet
https://doi.org/10.31223/X5TT1H #PhysicalSciencesAndMathematics
Quantifying greenspace using deep learning in Karachi, Pakistan
https://doi.org/10.31223/X5ZM22 #EnvironmentalPublicHealth #OtherComputerSciences #Greenspace #DeepLearning #SatelliteImagery
Assessing the relative importance of methane super-emitters and diffuse area sources in quantifying total emissions for oil and gas production areas in Algeria
https://doi.org/10.31223/X5396Q #PhysicalSciencesAndMathematics #Methane #OilAndGas #Emissions #ClimateChange #Super-emitters #Algeria
Pb diffusion in magnetite: dating magnetite crystallization and the timing of remanent magnetization in banded iron formation
https://doi.org/10.31223/X5Q37M #PhysicalSciencesAndMathematics #Magnetite #PbDiffusion #BandedIronFormation(bif) #RemanentMagnetization #ClosureTemperature #OpeningTemperature #U-pbGeochronology
Water discharge and sediment flux intermittency in the fluvial Escanilla Formation, Spain: Implications for changes in stratigraphic architecture
https://doi.org/10.31223/X57378 #EarthSciences #PhysicalSciencesAndMathematics #MiddleEoceneEscanillaFormation #Paleohydraulics #Intermittency #MiddleEocene #EscanillaFormation #Paleohydraulics #Intermittency
Deep Learning Models Filter Out Local Errors in Hydrological Data
https://doi.org/10.31223/X5BT15 #PhysicalSciencesAndMathematics #TransferLearning #Hydrology #Streamflow #DeepLearning #Lstm
Glacial Isostatic Adjustment modelling of the mid-Holocene sea-level highstand of Singapore and Southeast Asia
https://doi.org/10.31223/X5R37X #EarthSciences #Mid-holoceneHighstand;GlacialIsostaticAdjustment;SoutheastAsia;Sensitivity;TreasureMap;Preservation.
Does Productive Safety Net Program Enhance Livelihoods? Insights from Vulnerable Households in Wolaita Zone, Ethiopia
https://doi.org/10.31223/X5VT0F #Agriculture #Livelihood #TreatmentEffectsModel #ProductiveSafetyNetProgram #Impact #Ethiopia
Tectonic-metamorpic evolution of the Cretaceous Kluane Schist, southwest Yukon
https://doi.org/10.31223/X50M3R #PhysicalSciencesAndMathematics #BuchanMetamorphism #PhaseEquilibriaModelling #NorthAmericanCordillera #MetamorphicFieldGradient #InsularTerraneAccretion #WaterActivity
State-Level Multidimensional Agricultural Drought Susceptibility and Risk Assessment for Agriculturally Prominent Areas
https://doi.org/10.31223/X5495N #Education #AgriculturalDroughtVulnerability #RiskAssessment #AgriculturalSusceptibility #DroughtExposure
Development and validation of an Alaskan coupled storm surge, tide, wind wave, and sea ice forecasting system
https://doi.org/10.31223/X5837K #CivilAndEnvironmentalEngineering #StormSurge #SeaIce #WindWave #ForecastingSystem #Tide
Ferric iron in magmatic clinopyroxene, Part I: re-evaluating stoichiometric estimates of iron valence with implications for clinopyroxene componentry
https://doi.org/10.31223/X5CT03 #Geochemistry #Clinopyroxene #FerricIron #Stoichiometry #OxygenFugacity
Applying Machine Learning to Characterize and Transport the Relationship Between Seismic Structure and Surface Heat Flux
https://doi.org/10.31223/X5HM21 #GeophysicsAndSeismology #Glaciology #HeatFlow #SeismicTomography #MachineLearning #HeatGenerationAndTransport #Glaciology #Antarctica
Small data problems in deep learning applications with remote sensing: A review
https://doi.org/10.31223/X52H3B #ArtificialIntelligenceAndRobotics #OtherEarthSciences #RemoteSensing #CrossValidation #EnsembleLearning #Multi-taskLearning #WeaklySupervisedLearning #ActiveLearning #Semi-supervisedLearning #TransferLearning #Process-awareAi #Self-supervisedLearning #Zero-shotLearning #Few-shotLearning #UavImagery #DeepLearning #MachineLearning #DataSparsity #LimitedAnnotatedData #LimitedLabeledData #LimitedSampleSize #Process-awareAi #Self-supervisedLearning #Zero-shotLearning #Few-shotLearning #UavImagery #DeepLearning #MachineLearning #RemoteSensing #LimitedAnnotatedData #LimitedLabeledData #LimitedSampleSize
Ferric iron in magmatic clinopyroxene, Part II: iron valence systematics in clinopyroxene crystals from ocean island basalts with implications for oxybarometry
https://doi.org/10.31223/X5N959 #Geochemistry #Clinopyroxene #FerricIron #OceanIslandBasalt #OxygenFugacity
Geochemistry, classification characteristics and mineralization potential of Pegmatites from Oke Ode, Kwara-State, Northeastern, Nigeria: implications for provenance and weathering history
https://doi.org/10.31223/X5S09Z #PhysicalSciencesAndMathematics
Automated finding, segmenting, and measuring of grains in images of fluvial sediments – the potential of transfer learning in deep neural networks
https://doi.org/10.31223/X51H31 #EarthSciences #PhysicalSciencesAndMathematics #GrainSize #ImageSegmentation #MachineLearning #NeuralNetwork #FluvialGravel #SedimentAnalysis
Innovating and networking global geochemical data resources through OneGeochemistry
https://doi.org/10.31223/X5595Z #Biogeochemistry #Cosmochemistry #DatabasesAndInformationSystems #Geochemistry #Geology #PlanetaryBiogeochemistry #PlanetaryGeochemistry #PlanetaryGeology #Volcanology #Geochemistry #Data #Standardisation #Modelling #Vision #Cosmochemistry
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