Search results for "oceanic"

showing 10 items of 642 documents

A hemispherical dynamo model : Implications for the Martian crustal magnetization

2014

Abstract Mars Global Surveyor measurements revealed that the Martian crust is strongly magnetized in the southern hemisphere while the northern hemisphere is virtually void of magnetization. Two possible reasons have been suggested for this dichotomy: a once more or less homogeneously magnetization may have been destroyed in the northern hemisphere by, for example, resurfacing or impacts. The alternative theory we further explore here assumes that the dynamo itself produced a hemispherical field ( Stanley et al., 2008 , Amit et al., 2011 ). We use numerical dynamo simulations to study under which conditions a spatial variation of the heat flux through the core–mantle boundary (CMB) may yiel…

Earth and Planetary Astrophysics (astro-ph.EP)ConvectionMartianPhysics and Astronomy (miscellaneous)Northern HemisphereFOS: Physical sciencesAstronomy and AstrophysicsGeophysicsThermal windPhysics::GeophysicsMagnetizationGeophysicsHeat fluxSpace and Planetary SciencePhysics::Space PhysicsAstrophysics::Earth and Planetary AstrophysicsSouthern HemisphereGeologyPhysics::Atmospheric and Oceanic PhysicsDynamoAstrophysics - Earth and Planetary Astrophysics
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Nonlinear PCA for Spatio-Temporal Analysis of Earth Observation Data

2020

Remote sensing observations, products, and simulations are fundamental sources of information to monitor our planet and its climate variability. Uncovering the main modes of spatial and temporal variability in Earth data is essential to analyze and understand the underlying physical dynamics and processes driving the Earth System. Dimensionality reduction methods can work with spatio-temporal data sets and decompose the information efficiently. Principal component analysis (PCA), also known as empirical orthogonal functions (EOFs) in geophysics, has been traditionally used to analyze climatic data. However, when nonlinear feature relations are present, PCA/EOF fails. In this article, we pro…

Earth observationComputer scienceFeature extraction0211 other engineering and technologiesFOS: Physical sciencesEmpirical orthogonal functions02 engineering and technologyKernel principal component analysisPhysics::GeophysicsData cubePhysics - GeophysicsKernel (linear algebra)symbols.namesakeElectrical and Electronic EngineeringPhysics::Atmospheric and Oceanic Physics021101 geological & geomatics engineeringDimensionality reductionHilbert spaceComputational Physics (physics.comp-ph)Geophysics (physics.geo-ph)Data setPhysics - Atmospheric and Oceanic Physics13. Climate actionKernel (statistics)Atmospheric and Oceanic Physics (physics.ao-ph)Principal component analysissymbolsGeneral Earth and Planetary SciencesSpatial variabilityAlgorithmPhysics - Computational Physics
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Growth of nucleation mode particles in the summertime Arctic: a case study

2016

Abstract. The summertime Arctic lower troposphere is a relatively pristine background aerosol environment dominated by nucleation and Aitken mode particles. Understanding the mechanisms that control the formation and growth of aerosol is crucial for our ability to predict cloud properties and therefore radiative balance and climate. We present an analysis of an aerosol growth event observed in the Canadian Arctic Archipelago during summer as part of the NETCARE project. Under stable and clean atmospheric conditions, with low inversion heights, carbon monoxide less than 80 ppbv, and black carbon less than 5 ng m−3, we observe growth of small particles,  <  20 nm in diameter, into sizes ab…

Earth's energy budgetAtmospheric Science010504 meteorology & atmospheric sciencesNucleation010501 environmental sciencesAtmospheric sciences01 natural sciencesMethanesulfonic acidcomplex mixturesTropospherelcsh:Chemistrychemistry.chemical_compoundCloud condensation nuclei14. Life underwater0105 earth and related environmental sciences[PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]respiratory systemlcsh:QC1-999AerosolchemistryArcticlcsh:QD1-99913. Climate action[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatologylcsh:PhysicsCarbon monoxide
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West African Monsoon water cycle: 1. A hybrid water budget data set

2010

International audience; This study investigates the West African Monsoon water cycle with the help of a new hybrid water budget data set developed within the framework of the African Monsoon Multidisciplinary Analyses. Surface water and energy fluxes are estimated from an ensemble of land surface model simulations forced with elaborate precipitation and radiation products derived from satellite observations, while precipitable water tendencies are estimated from numerical weather prediction analyses. Vertically integrated atmospheric moisture flux convergence is estimated as a residual. This approach provides an advanced, comprehensive atmospheric water budget, including evapotranspiration,…

Earth's energy budgetAtmospheric Science010504 meteorology & atmospheric sciences[SDE.MCG]Environmental Sciences/Global ChangesGPS0207 environmental engineeringSoil Science02 engineering and technologyPrecipitationAquatic ScienceOceanography01 natural sciencesWater balanceGeochemistry and PetrologyEvapotranspirationEarth and Planetary Sciences (miscellaneous)PrecipitationWater cycle020701 environmental engineering0105 earth and related environmental sciencesEarth-Surface ProcessesWater Science and Technology[PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]EcologyPrecipitable waterPaleontologyForestryMoisture advection6. Clean water[ SDE.MCG ] Environmental Sciences/Global ChangesGeophysics[ PHYS.PHYS.PHYS-AO-PH ] Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]13. Climate actionSpace and Planetary Science[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/ClimatologyClimatologyEnvironmental scienceAMMALand surface model[ SDU.STU.CL ] Sciences of the Universe [physics]/Earth Sciences/ClimatologySurface water
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Heavy Metal Contents in Soft-Bottom Marine Macrophytes and Sediments Along the Mediterranean Coast of Spain

2000

. Hg, Cd, Pb and Zn concentrations were determined in sediment and in tissues of five species of soft-bottom marine macrophytes (Posidonia oceanica, Cymodocea nodosa, Zostera noltii, Ruppia cirrhosa and Caulerpa prolifera) along the Spanish Mediterranean coast. Levels of metals were low in most of the sampling stations and similar to those found by other authors in uncontaminated zones. Certain locations, however, showed some degree of contamination (Cambrils, Almassora, Alacant, Mar Menor and El Portus). In Santa Pola we found high contents of metals in one sample of sediment due to the high proportion of the fine fraction (particules < 63µm) and organic matter, but not in the seagrass spe…

EcologybiologyCymodocea nodosaUlvophyceaeSedimentAquatic ScienceCaulerpa proliferabiology.organism_classificationSeagrassRuppia cirrhosaPosidonia oceanicaBotanyZosteraEcology Evolution Behavior and SystematicsMarine Ecology
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Response of benthic foraminifera to heavy metal contamination in marine sediments (Sicilian coasts, Mediterranean sea)

2011

To examine the suitability of benthic foraminifera and their test deformations as bioindicators of pollution in coastal marine environments, we studied foraminifera and metal concentrations in 72 marine sediment samples, collected from the inner shelf along the Sicilian coast (Gulfs of Palermo and Termini) and on the south-eastern coast of Lampedusa Island. These areas are characterised by different environmental conditions. On the basis of pollution sources and foraminiferal assemblages, we recognised different zones in the Gulf of Palermo. The most polluted zones showed high metal concentrations, and low diversity of benthic foraminifera with species typical of stressed environments. By c…

EcologybiologyEcologyBioindicatorBenthic foraminiferaSedimentbiology.organism_classificationPollutionForaminiferaOceanographyMediterranean seaHeavy metalBenthic zoneIndicator speciesPosidonia oceanicaMediterranean seaGeneral Earth and Planetary SciencesEnvironmental scienceEpiphyteBioindicatorSicilyEcology Evolution Behavior and SystematicsGeneral Environmental Science
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Effect of explosive shallow hydrothermal vents on δ13C and growth performance in the seagrass Posidonia oceanica

2010

Summary 1. Explosive volcanic submarine activity is expected to affect seagrass communities due to sudden and dramatic changes in the physical and chemical features of sea water and sediments, with possibly large ecosystem effects. However, seagrass response to the harsh environmental conditions that arise due to explosive volcanism is as yet unexplored as it is not easy to predict when and where an eruption will occur. Here, we investigate the uptake of hydrothermal carbon within the seagrass Posidonia oceanica by the analysis of δ13C and growth rates in tissue laid down before and after an exceptional and massive hydrothermal gas release in the Aeolian Islands (Italy, Mediterranean Sea). …

EcologybiologyEcologyOcean acidificationPlant Sciencebiology.organism_classificationHydrothermal circulationSeagrassOceanographyMediterranean seaHabitatProductivity (ecology)Posidonia oceanicaEnvironmental scienceEcology Evolution Behavior and SystematicsHydrothermal ventJournal of Ecology
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A Test of Covariance-Matrix Forecasting Methods

2015

Providing a more accurate covariance matrix forecast can substantially improve the performance of optimized portfolios. Using out-of-sample tests, in this article the author evaluates alternative covariance matrix-forecasting methods by looking at: (1) their forecast accuracy, (2) their ability to track the volatility of a minimum-variance portfolio, and (3) their ability to keep the volatility of a minimum-variance portfolio at a target level. The author finds large differences between the methods. The results suggest that shrinking the sample covariance matrix improves neither the forecast accuracy nor the performance of minimum-variance portfolios. In contrast, switching from the sample …

Economics and EconometricsMultivariate statisticsCovariance matrixAutoregressive conditional heteroskedasticityContrast (statistics)CovarianceGeneral Business Management and AccountingTracking errorAccountingEconometricsStatistics::MethodologyPortfolioVolatility (finance)Physics::Atmospheric and Oceanic PhysicsFinanceMathematicsThe Journal of Portfolio Management
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DETECTING VOLCANIC ERUPTIONS IN TEMPERATURE RECONSTRUCTIONS BY DESIGNED BREAK-INDICATOR SATURATION

2016

We present a methodology for detecting breaks at any point in time-series regression models using an indicator saturation approach, applied here to modelling climate change. Building on recent developments in econometric model selection for more variables than observations, we saturate a regression model with a full set of designed break functions. By selecting over these break functions using an extended general-to-specific algorithm, we obtain unbiased estimates of the break date and magnitude. Monte Carlo simulations confirm the approximate properties of the approach. We assess the methodology by detecting volcanic eruptions in a time series of Northern Hemisphere mean temperature spanni…

Economics and Econometricsgeographygeography.geographical_feature_category010504 meteorology & atmospheric sciencesModel selectionMonte Carlo methodNorthern HemisphereClimate changeRegression analysis01 natural sciencesPhysics::Geophysics010104 statistics & probabilityVolcanoClimatologyPaleoclimatologyEconomics0101 mathematicsMean radiant temperaturePhysics::Atmospheric and Oceanic Physics0105 earth and related environmental sciencesJournal of Economic Surveys
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Comparing Airborne and Satellite Retrievals of Optical and Microphysical Properties of Cirrus and Deep Convective Clouds using a Radiance Ratio Techn…

2017

Abstract. Solar radiation reflected by cirrus and deep convective clouds (DCCs) was measured by the Spectral Modular Airborne Radiation Measurement System (SMART) installed on the German HALO (High Altitude and Long Range Research Aircraft) during the ML-CIRRUS and the ACRIDICON-CHUVA campaigns. In particular flights, HALO performed closely collocated measurements with overpasses of the Moderate Resolution Imaging Spectroradiometer (MODIS) on board of Aqua satellite. Based on the nadir upward radiance, the optical thickness τ and bulk particle effective radius reff of cirrus and DCC are retrieved using a radiance ratio algorithm which considers the cloud thermodynamic phase, the cloud verti…

Effective radius020209 energyCloud top02 engineering and technologyAlbedoAtmospheric sciences0202 electrical engineering electronic engineering information engineeringRadiative transferRadianceNadirEnvironmental scienceCirrusModerate-resolution imaging spectroradiometerAstrophysics::Galaxy AstrophysicsPhysics::Atmospheric and Oceanic PhysicsRemote sensing
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