Search results for " system"

showing 10 items of 57397 documents

Diagenetic stability of non-traditional stable isotope systems (Ca, Sr, Mg, Zn) in teeth – An in-vitro alteration experiment of biogenic apatite in i…

2021

Stable isotope ratios and trace element concentrations of fossil bones and teeth are important geochemical proxies for the reconstruction of diet and past environment in archaeology and palaeontology. However, since diagenesis can significantly alter primary diet-related isotope signatures and elemental compositions, it is important to understand and quantify alteration processes. Here, we present the results of in-vitro alteration experiments of dental tissues from a modern African elephant molar reacted in aqueous solutions at 30 °C and 90 °C for 4 to 63 days. Dental cubes with ≈ 3 mm edge length, comprising both enamel and dentin, were placed into 2 mL of acidic aqueous sol…

010504 meteorology & atmospheric sciencesAnalytical chemistry010502 geochemistry & geophysics01 natural sciencesApatiteDiagenesischemistry.chemical_compoundstomatognathic systemIsotopesGeochemistry and PetrologyDentinmedicineBioapatite0105 earth and related environmental sciencesIsotopeEnamel paintStable isotope ratioTrace elementLA-(MC-)ICP-MSGeologyHydroxylapatitestomatognathic diseasesmedicine.anatomical_structurechemistry13. Climate actionvisual_artRaman spectroscopyvisual_art.visual_art_mediumEPMAGeologyEMPA
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Inter-annual climate variability in Europe during the Oligocene icehouse

2017

Abstract New sclerochronological data suggest that a variability comparable to the North Atlantic Oscillation (NAO) was already present during the middle Oligocene, about 20 Myr earlier than formerly assumed. Annual increment width data of long-lived marine bivalves of Oligocene (30–25 Ma) strata from Central Europe revealed a distinct quasi-decadal climate variability modulated on 2–12 (mainly 3–7) year cycles. As in many other modern bivalves, these periodic changes in shell growth were most likely related to changes in primary productivity, which in turn, were coupled to atmospheric circulation patterns. Stable carbon isotope values of the shells (δ 13 C shell ) further corroborated the …

010504 meteorology & atmospheric sciencesAtmospheric circulationPaleontology010502 geochemistry & geophysicsOceanography01 natural sciencesProxy (climate)Oceanography13. Climate actionNorth Atlantic oscillationIsotopes of carbonSclerochronologyClimatologyClimate model14. Life underwaterClimate stateCenozoicEcology Evolution Behavior and SystematicsGeology0105 earth and related environmental sciencesEarth-Surface ProcessesPalaeogeography, Palaeoclimatology, Palaeoecology
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Developing an indicator-modelling approach to forecast changes in nitrogen critical load exceedance across Europe arising from agricultural reform

2011

International audience; Atmospheric nitrogen (N) deposition above the critical load causes eutrophication with adverse impacts on biodiversity. Average Accumulated critical load Exceedance (AAE) is a measure of the amount of critical load exceedance and the area of habitat which is affected, and has been adopted in Europe as a pressure indicator for biodiversity. In Europe, AAE is calculated by the Coordination Centre for Effects (CCE) of the United Nations Economic Commission for Europe based on modelled nitrogen deposition and country-level reporting of critical load thresholds and ecosystem area. Due to differences in country-level reporting, AAE values for semi-natural habitats may show…

010504 meteorology & atmospheric sciencesBiodiversityGeneral Decision Sciences010501 environmental sciences01 natural sciencesAMMONIA EMISSIONEnvironmental protectionEcosystemEcology Evolution Behavior and Systematics0105 earth and related environmental sciences2. Zero hungerCritical loadNITROGEN DEPOSITIONEcologyEMISSION D'AMONIAQUEbusiness.industry15. Life on landDeposition (aerosol physics)Habitat13. Climate actionAgricultureEUTROPHICATIONSpatial ecologyEnvironmental scienceBIODIVERSITYCAP REFORM[SDE.BE]Environmental Sciences/Biodiversity and EcologyEutrophicationbusiness
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A roadmap for amphibious drilling at the Campi Flegrei caldera: insights from a MagellanPlus workshop

2019

Large calderas are among the Earth's major volcanic features. They are associated with large magma reservoirs and elevated geothermal gradients. Caldera-forming eruptions result from the withdrawal and collapse of the magma chambers and produce large-volume pyroclastic deposits and later-stage deformation related to post-caldera resurgence and volcanism. Unrest episodes are not always followed by an eruption; however, every eruption is preceded by unrest. The Campi Flegrei caldera (CFc), located along the eastern Tyrrhenian coastline in southern Italy, is close to the densely populated area of Naples. It is one of the most dangerous volcanoes on Earth and represents a key example of an acti…

010504 meteorology & atmospheric sciencesCalderasGeochemistryEnergy Engineering and Power TechnologyPyroclastic rockVolcanologyMagma chamberVolcanism010502 geochemistry & geophysics01 natural sciencesdrillingsouthern ItalycalderaCaldera14. Life underwater0105 earth and related environmental sciencesgeographygeography.geographical_feature_categoryMechanical Engineeringlcsh:QE1-996.5VolcanologyMagellanPlus workshopInternational Ocean Discovery Programlcsh:GeologyCampi Flegrei calderaVolcanoItaly13. Climate actionEruptionMagmacaldera Campi Flegrei monitopring system hydrothermal system IODPCampi FlegreiGeology
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Hydrothermal pressure-temperature control on CO2 emissions and seismicity at Campi Flegrei (Italy)

2021

Fluids supplied by stored magma at depth are causal factors of volcanic unrest, as they can cause pressurization/heating of hydrothermal systems. However, evidence for links between hydrothermal pressurization, CO2 emission and volcano seismicity have remained elusive. Here, we use recent (2010−2020) observations at Campi Flegrei caldera (CFc) to show hydrothermal pressure, gas emission and seismicity at CFc share common source areas and well-matching temporal evolutions. We interpret the recent escalation in seismicity and surface gas emissions as caused by pressure-temperature increase at the top of a vertically elongated (0.3–2 km deep) gas front. Using mass (steam) balance consideration…

010504 meteorology & atmospheric sciencesCampi Flegrei mantle geochemistry CO2 emission Fumarole compositions Hydrothermal systems Volcanic unrest Volcano seismicityInduced seismicity010502 geochemistry & geophysics01 natural sciencesHydrothermal circulationHydrothermal systemsCabin pressurizationGeochemistry and PetrologyCalderaPetrologyFumarole compositions0105 earth and related environmental sciencesgeographygeography.geographical_feature_categoryVolcanic unrest; Hydrothermal systems; Campi Flegrei; Fumarole compositions; CO2 emission; Volcano seismicityFront (oceanography)Volcano seismicityGeophysicsVolcanoVolume (thermodynamics)Volcanic unrestCO2 emissionMagmaCampi FlegreiGeology
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Spectral biases in tree-ring climate proxies

2013

Seamless quantification of past and present climate variability is needed to understand the Earth’s climate well enough to make accurate predictions for the future. This study addresses whether tree-ring-dominated proxy data properly represent the frequency spectrum of true climate variability. The results challenge the validity of detection and attribution investigations based on these data. External forcing and internal dynamics result in climate system variability ranging from sub-daily weather to multi-centennial trends and beyond1,2. State-of-the-art palaeoclimatic methods routinely use hydroclimatic proxies to reconstruct temperature (for example, refs 3, 4), possibly blurring differe…

010504 meteorology & atmospheric sciencesClimate systemForcing (mathematics)Environmental Science (miscellaneous)010502 geochemistry & geophysics01 natural sciencesFrequency spectrumProxy (climate)13. Climate actionGeneral Circulation ModelClimatologyDendrochronologyEnvironmental sciencePrecipitationSocial Sciences (miscellaneous)0105 earth and related environmental sciencesNature Climate Change
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Joint Gaussian processes for inverse modeling

2017

Solving inverse problems is central in geosciences and remote sensing. Very often a mechanistic physical model of the system exists that solves the forward problem. Inverting the implied radiative transfer model (RTM) equations numerically implies, however, challenging and computationally demanding problems. Statistical models tackle the inverse problem and predict the biophysical parameter of interest from radiance data, exploiting either in situ data or simulated data from an RTM. We introduce a novel nonlinear and nonparametric statistical inversion model which incorporates both real observations and RTM-simulated data. The proposed Joint Gaussian Process (JGP) provides a solid framework…

010504 meteorology & atmospheric sciencesComputer science0211 other engineering and technologiesNonparametric statisticsInverseInversion (meteorology)Statistical model02 engineering and technologyInverse problem01 natural sciencesData modelingNonlinear systemsymbols.namesakeAtmospheric radiative transfer codesRadiancesymbolsGaussian processAlgorithm021101 geological & geomatics engineering0105 earth and related environmental sciences
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Edge-Based Missing Data Imputation in Large-Scale Environments

2021

Smart cities leverage large amounts of data acquired in the urban environment in the context of decision support tools. These tools enable monitoring the environment to improve the quality of services offered to citizens. The increasing diffusion of personal Internet of things devices capable of sensing the physical environment allows for low-cost solutions to acquire a large amount of information within the urban environment. On the one hand, the use of mobile and intermittent sensors implies new scenarios of large-scale data analysis

010504 meteorology & atmospheric sciencesComputer scienceDistributed computingUrban sensingMobile sensingContext (language use)Information technology02 engineering and technology01 natural sciences[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Smart cityEdge intelligence11. Sustainability0202 electrical engineering electronic engineering information engineeringLeverage (statistics)Edge computingVoronoi tessellation0105 earth and related environmental sciencesSmart cityOut-of-order executionSettore INF/01 - InformaticaMulti-agent systemMissing data imputation020206 networking & telecommunicationsT58.5-58.64Variety (cybernetics)Multi-agent system[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Mobile deviceInformation Systems
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Sun-induced chlorophyll fluorescence III: benchmarking retrieval methods and sensor characteristics for proximal sensing

2019

[EN] The interest of the scientific community on the remote observation of sun-induced chlorophyll fluorescence (SIF) has increased in the recent years. In this context, hyperspectral ground measurements play a crucial role in the calibration and validation of future satellite missions. For this reason, the European cooperation in science and technology (COST) Action ES1309 OPTIMISE has compiled three papers on instrument characterization, measurement setups and protocols, and retrieval methods (current paper). This study is divided in two sections; first, we evaluated the uncertainties in SIF retrieval methods (e.g., Fraunhofer line depth (FLD) approaches and spectral fitting method (SFM))…

010504 meteorology & atmospheric sciencesComputer scienceEconomicsGround spectrometersScience0211 other engineering and technologiesContext (language use)02 engineering and technologyGround spectrometer01 natural sciencesSpectral lineRetrieval methodApproximation errorSun-induced chlorophyll fluorescenceSensitivity (control systems)910 Geography & travelChlorophyll fluorescence021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingRetrieval methodsSpectrometerSun-induced chlorophyll fluorescence; Ground spectrometers; Retrieval methods1900 General Earth and Planetary SciencesQHyperspectral imagingsun-induced chlorophyll fluorescence; ground spectrometers; retrieval methods3. Good health10122 Institute of GeographyFISICA APLICADALine (geometry)General Earth and Planetary Sciencesddc:620Interpolation
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Optimal modalities for radiative transfer-neural network estimation of canopy biophysical characteristics: Evaluation over an agricultural area with …

2011

International audience; Neural networks trained over radiative transfer simulations constitute the basis of several operational algorithms to estimate canopy biophysical variables from satellite reflectance measurements. However, only little attention was paid to the training process which has a major impact on retrieval performances. This study focused on the several modalities of the training process within neural network estimation of LAI, FCOVER and FAPAR biophysical variables. Performances were evaluated over both actual experimental observations and model simulations. The SAIL and PROSPECT radiative transfer models were used here to simulate the training and the synthetic test dataset…

010504 meteorology & atmospheric sciencesComputer scienceGaussian0211 other engineering and technologiesSoil ScienceCANOPY BIOPHYSICAL CHARACTERISTICS02 engineering and technologyNEURAL NETWORK01 natural sciencesTransfer functionsymbols.namesakeAtmospheric radiative transfer codesRadiative transferRange (statistics)Sensitivity (control systems)Computers in Earth Sciences021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingArtificial neural networkGeologySigmoid functionRELATION SOL-PLANTE-ATMOSPHEREMODEL INVERSION[SDE]Environmental SciencessymbolsINDICE FOLIAIRE
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