Search results for "Ocean dynamics"

showing 3 items of 3 documents

Effect of the Ordovician paleogeography on the (in)stability of the climate.

2014

The Ordovician Period (485–443 Ma) is characterized by abundant evidence for continental-sized ice sheets. Modeling studies published so far require a sharp CO2 drawdown to initiate this glaciation. They mostly used non-dynamic slab mixed-layer ocean models. Here, we use a general circulation model with coupled components for ocean, atmosphere, and sea ice to examine the response of Ordovician climate to changes in CO2 and paleogeography. We conduct experiments for a wide range of CO2 (from 16 to 2 times the preindustrial atmospheric CO2 level (PAL)) and for two continental configurations (at 470 and at 450 Ma) mimicking the Middle and the Late Ordovician conditions. We find that the temper…

010504 meteorology & atmospheric scienceslcsh:Environmental protectionStratigraphy010502 geochemistry & geophysics01 natural scienceslcsh:Environmental pollutionSea icelcsh:TD169-171.8Glacial periodlcsh:Environmental sciences0105 earth and related environmental scienceslcsh:GE1-350Global and Planetary Changegeographygeography.geographical_feature_categoryNorthern HemispherePaleontologyRadiative forcingOcean dynamics13. Climate action[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology[SDU]Sciences of the Universe [physics]Climatologylcsh:TD172-193.5OrdovicianIce sheet[ SDU.STU.CL ] Sciences of the Universe [physics]/Earth Sciences/ClimatologyGlobal coolingGeology[ SDU ] Sciences of the Universe [physics]
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The synergy of water quality and sea surface currents data in determining the spatio-temporal evolution of large-scale circulation features

2014

Chlorophyll-a (CHL-a) and Sea Surface Temperature (SST), amongst others, are proxies or indicators for water quality and can be easily retrieved synoptically and almost in near-real time through satellite remote-sensing. However, as they evolve in space and time in response to winds and currents, a full resolution of the temporal and spatial scales of these latters is required and their influence in shaping the distribution of water quality parameters needs to be assessed. While providing synoptic views and revealing mesoscale features, satellites suffer, indeed, from inadequate representation of sub-grid physical processes and lack of temporal resolution. Conventional point-wise measuremen…

Ocean dynamicsSea surface temperatureGeographyTemporal resolutionClimatologySea surface currents HF radars SST CHL-a MODISSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaOcean currentMesoscale meteorologySpatial variabilitySatellitePhysical oceanographyRemote sensingSPIE Proceedings
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ESTIMATION OF OCEANIC PARTICULATE ORGANIC CARBON WITH MACHINE LEARNING

2020

Understanding and quantifying ocean carbon sinks of the planet is of paramount relevance in the current scenario of global change. Particulate organic carbon (POC) is a key biogeochemical parameter that helps us characterize export processes of the ocean. Ocean color observations enable the estimation of bio-optical proxies of POC (i.e. particulate backscattering coefficient, bbp) in the surface layer of the ocean quasi-synoptically. In parallel, the Argo program distributes vertical profiles of the physical properties with a global coverage and a high spatio-temporal resolution. Merging satellite ocean color and Argo data using a neural networkbased method has already shown strong potentia…

lcsh:Applied optics. Photonics010504 meteorology & atmospheric sciencesMesoscale meteorologyMachine learningcomputer.software_genre01 natural scienceslcsh:Technology03 medical and health sciencesOcean gyre14. Life underwaterAltimeterComputingMilieux_MISCELLANEOUSArgo030304 developmental biology0105 earth and related environmental sciences0303 health sciencesgeographygeography.geographical_feature_categorybusiness.industrylcsh:Tlcsh:TA1501-1820Global changeOcean dynamics13. Climate actionOcean colorlcsh:TA1-2040[SDE]Environmental SciencesEnvironmental scienceSatelliteArtificial intelligencebusinesslcsh:Engineering (General). Civil engineering (General)computerISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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