Search results for "Earth system"

showing 10 items of 109 documents

Flood-stack of combined sediment record ELSA

2016

This study reconstructs the main flood phases in central Europe from event layers in sediment cores from Holocene Eifel maar lakes and Pleistocene dry maar structures. These reconstructions are combined with recent gauge time-series to cover the entire precipitation extremes of the last 60 000 years. In general, Eifel maar sediments are perfectly suited for the preservation of event layers since the deep water in the maar lakes is seasonal anoxic and therefore, bioturbation is low. However, the preservation of annual lamination is only preserved in Holzmaar and Ulmener Maar; the other cores are dated by 14C, magnetostratigraphy, tephra markers and ice core tuning. The cores were drilled in …

AgeAge minimum/youngAge maximum/oldmaximum oldEarth System Researchminimum youngIndex
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Earth system data cubes unravel global multivariate dynamics

2020

Understanding Earth system dynamics in light of ongoing human intervention and dependency remains a major scientific challenge. The unprecedented availability of data streams describing different facets of the Earth now offers fundamentally new avenues to address this quest. However, several practical hurdles, especially the lack of data interoperability, limit the joint potential of these data streams. Today, many initiatives within and beyond the Earth system sciences are exploring new approaches to overcome these hurdles and meet the growing interdisciplinary need for data-intensive research; using data cubes is one promising avenue. Here, we introduce the concept of Earth system data cu…

Agriculture and Food SciencesDECOMPOSITION0106 biological sciencesFLUXESDependency (UML)lcsh:Dynamic and structural geology010504 meteorology & atmospheric sciencesInterface (Java)Computer scienceDIMENSIONALITY010603 evolutionary biology01 natural sciencesESAData cube03 medical and health scienceslcsh:QE500-639.5TEMPERATURE SENSITIVITYlcsh:Science030304 developmental biology0105 earth and related environmental sciences0303 health sciencesData stream mininglcsh:QE1-996.5SCIENCEFRAMEWORKData sciencePRODUCTSlcsh:GeologyMODELEarth system scienceVariable (computer science)Workflow13. Climate actionGeneral Earth and Planetary Scienceslcsh:QSOIL RESPIRATIONCurse of dimensionality
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Implementation of the chemistry module MECCA (v2.5) in the modal aerosol version of the Community Atmosphere Model component (v3.6.33) of the Communi…

2013

Abstract. A coupled atmospheric chemistry and climate system model was developed using the modal aerosol version of the National Center for Atmospheric Research Community Atmosphere Model (modal-CAM; v3.6.33) and the Max Planck Institute for Chemistry's Module Efficiently Calculating the Chemistry of the Atmosphere (MECCA; v2.5) to provide enhanced resolution of multiphase processes, particularly those involving inorganic halogens, and associated impacts on atmospheric composition and climate. Three Rosenbrock solvers (Ros-2, Ros-3, RODAS-3) were tested in conjunction with the basic load-balancing options available to modal-CAM (1) to establish an optimal configuration of the implicitly-sol…

Atmosphere (unit)MeteorologyChemistrybusiness.industrylcsh:QE1-996.5Atmospheric modelAtmospheric researchAerosollcsh:GeologyModalCommunity earth system modelAtmospheric chemistryComponent (UML)Aerospace engineeringbusinessGeoscientific Model Development
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The AeroCom evaluation and intercomparison of organic aerosol in global models

2014

This paper evaluates the current status of global modeling of the organic aerosol (OA) in the troposphere and analyzes the differences between models as well as between models and observations. Thirty-one global chemistry transport models (CTMs) and general circulation models (GCMs) have participated in this intercomparison, in the framework of AeroCom phase II. The simulation of OA varies greatly between models in terms of the magnitude of primary emissions, secondary OA (SOA) formation, the number of OA species used (2 to 62), the complexity of OA parameterizations (gas-particle partitioning, chemical aging, multiphase chemistry, aerosol microphysics), and the OA physical, chemical and op…

Atmospheric Science010504 meteorology & atmospheric sciencesMeteorologyChemical transport modelFÍSICA ATMOSFÉRICA010501 environmental sciencesAtmospheric sciences01 natural scienceslcsh:ChemistryTropospherePARTICULATE MATTERCHEMICAL-TRANSPORT MODELmedicineMass concentration (chemistry)GENERAL-CIRCULATION MODEL0105 earth and related environmental sciences[PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]ATMOSPHERIC AEROSOLEARTH SYSTEMCLIMATE MODELVOLATILITY BASIS-SETParticulatesSeasonalitymedicine.diseaselcsh:QC1-999CARBONACEOUS AEROSOLSAerosolDeposition (aerosol physics)lcsh:QD1-999MASS-SPECTROMETER13. Climate action[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/ClimatologyVOLATILITY BASIS-SET BIOMASS BURNING EMISSIONS CHEMICAL-TRANSPORT MODEL GENERAL-CIRCULATION MODEL CLIMATE MODEL CARBONACEOUS AEROSOLS MASS-SPECTROMETER EARTH SYSTEM ATMOSPHERIC AEROSOL PARTICULATE MATTEREnvironmental scienceClimate modelBIOMASS BURNING EMISSIONSlcsh:Physics
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Bioaerosols in the Earth system: Climate, health, and ecosystem interactions

2016

Abstract Aerosols of biological origin play a vital role in the Earth system, particularly in the interactions between atmosphere, biosphere, climate, and public health. Airborne bacteria, fungal spores, pollen, and other bioparticles are essential for the reproduction and spread of organisms across various ecosystems, and they can cause or enhance human, animal, and plant diseases. Moreover, they can serve as nuclei for cloud droplets, ice crystals, and precipitation, thus influencing the hydrological cycle and climate. The sources, abundance, composition, and effects of biological aerosols and the atmospheric microbiome are, however, not yet well characterized and constitute a large gap i…

Atmospheric ScienceBacteria010504 meteorology & atmospheric sciencesMeteorologyEcologyIndoor bioaerosolFungiBiosphereAllergens010501 environmental sciencesBiological ice nuclei01 natural sciencesEarth system scienceCloud condensation nucleiEnvironmental scienceEcosystemPrecipitationWater cycleBioaerosol0105 earth and related environmental sciencesBioaerosolAtmospheric Research
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Evaluation and comparison of satellite precipitation estimates with reference to a local area in the Mediterranean Sea

2014

Precipitation measurement is a key activity for the analysis of storm processes as well as every hydrological process. Satellite retrieval systems, rain-gauge network and radar systems are complement to each other in terms of their coverage and capability of monitoring precipitation. Satellite rainfall estimates systems produce data with global coverage that can provide information in areas for which data from other sources are unavailable. Without referring to ground measurement, satellite-based estimates can be bias. Although some gauged adjusted satellite precipitation products are developed, an effective way of integrating multi-sources of precipitation information is still a challenge.…

Atmospheric ScienceQuantitative precipitation estimationMeteorologySettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaPrecipitation Satellite Mediterranean Evaluationprecipitation satellite persiann cmorph tmpa gpcpEarth system scienceWater resourcesSet (abstract data type)Mediterranean seaPERSIANNEnvironmental scienceSatellitePrecipitationRemote sensing
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Implementation of the Community Earth System Model (CESM) version 1.2.1 as a new base model into version 2.50 of the MESSy framework

2016

Abstract. The Community Earth System Model (CESM1), maintained by the United States National Centre for Atmospheric Research (NCAR) is connected with the Modular Earth Submodel System (MESSy). For the MESSy user community, this offers many new possibilities. The option to use the Community Atmosphere Model (CAM) atmospheric dynamical cores, especially the state-of-the-art spectral element (SE) core, as an alternative to the ECHAM5 spectral transform dynamical core will provide scientific and computational advances for atmospheric chemistry and climate modelling with MESSy. The well-established finite volume core from CESM1(CAM) is also made available. This offers the possibility to compare …

Atmospheric physics010504 meteorology & atmospheric sciencesMeteorologyProcess (engineering)Computer scienceEarth System ModellingAtmospheric model01 natural sciencesModular Earth Submodel System (MESSy)Component (UML)Erdsystem-ModellierungCode (cryptography)0101 mathematics0105 earth and related environmental sciencesStructure (mathematical logic)EMACbusiness.industrylcsh:QE1-996.5Modular designlcsh:Geology010101 applied mathematicsCESM1Atmospheric chemistrySystems engineeringAir Chemistrybusiness
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Deep learning and process understanding for data-driven Earth system science

2017

Machine learning approaches are increasingly used to extract patterns and insights from the ever-increasing stream of geospatial data, but current approaches may not be optimal when system behaviour is dominated by spatial or temporal context. Here, rather than amending classical machine learning, we argue that these contextual cues should be used as part of deep learning (an approach that is able to extract spatio-temporal features automatically) to gain further process understanding of Earth system science problems, improving the predictive ability of seasonal forecasting and modelling of long-range spatial connections across multiple timescales, for example. The next step will be a hybri…

Big DataTime FactorsProcess modelingGeospatial analysis010504 meteorology & atmospheric sciencesProcess (engineering)0208 environmental biotechnologyBig dataGeographic Mapping02 engineering and technologycomputer.software_genreMachine learning01 natural sciencesPattern Recognition AutomatedData-drivenDeep LearningSpatio-Temporal AnalysisHumansComputer SimulationWeather0105 earth and related environmental sciencesMultidisciplinarybusiness.industryDeep learningUncertaintyReproducibility of ResultsTranslatingRegression Psychology020801 environmental engineeringEarth system scienceKnowledgePattern recognition (psychology)Earth SciencesFemaleSeasonsArtificial intelligencebusinessPsychologyFacial RecognitioncomputerForecastingNature
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Experimental conditions for respiration and growth studies of F0 and F1 larval and juvenile European seabass Dicentrarchus labrax

2022

Water parameters in the 2 years before spawning of F0 (08.02.2016-06.03.2018) and during larval and juvenile phase of F1: Larval period until 17.05.2018 (48 dph, 900 dd) and 01.06.2018 (63 dph, ~900 dd) for warm and cold life condition respectively, for the juveniles until 28.09.2018 (180 dph, ~4000 dd) and 12.02.2019 (319 dph, ~5100 dd) for warm and cold conditioned fish respectively. Means ± s.e. over all replicate tanks per condition. Temperature (Temp.), pH (free scale), salinity, oxygen and total alkalinity (TA) were measured weekly in F1 and monthly in F0; sea water (SW) measurements were conducted in 2017 and 2018. Water parameters during larval and early juvenile phase of F0: Larval…

Calculated by CO2sys_xls_program Lewis and WallaceSalinityAlkalinityLife stageType of studyTemperature waterGermanyCalculatedAlkalinity totalSalinity standard errortotallarval growthteleostexperiment2006pH2007 with purified m cresol purpleOcean acidificationMeasured spectrophotometrically Dickson et alTemperatureWeilheimPartial pressure of carbon dioxide (water) at sea surface temperature (wet air) standard errorSilicatedissolvedLaboratory experimentSEAL AA3 segmented flow autoanalyzerSilicate standard errorstandard errorMultiprobeEarth System ResearchWTW 340imetabolic rateswaterGenerationOxygen dissolvedMultiprobe WTW 340iPhosphateocean warmingAlkalinity total standard errorjuvenile growthCarbon dioxide (water) partial pressurepH meter (WTW 3110) with electrode (WTW Sentix 41)DATE TIMEWTW Oxi 340i probeTemperature water standard errorCarbon dioxide water partial pressurepH standard errorXylem Analytics GermanySalinometer (WTW LF325 Xylem Analytics Germany Weilheim Germany)Calculated by CO2sys_xls_program (Lewis and Wallace 2006)OxygenTreatmentDATE/TIMEPartial pressure of carbon dioxide water at sea surface temperature wet airSalinometer WTW LF325Oxygen dissolved standard errorMeasured spectrophotometrically (Dickson et al. 2007) with purified m-cresol purplepH meter WTW 3110 with electrode WTW Sentix 41Phosphate standard error
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Calcifying phytoplankton standing stocks in the North Pacific from the R/V Kilo Moana cruise KM1712

2022

This dataset compiles the CaCO3 standing stocks of living coccolithophores (mg/m³), of detached coccoliths (mg/m³) and the integrated CaCO3 standing stocks of coccolithophores (mg/m²). The samples were collected in the North Pacific between Hawaii and the Gulf of Alaska during the R/V Kilo Moana cruise KM1712 in August 2017, with rosette Niskin bottles equiped with CTD (Sea-Bird SBE 9) at different depths throughout the photic zone including the deep chlorophyll maximum. To estimate the CaCO3 contribution by coccolithophore assemblages in each sample, we carried out the transformation of coccospheres in number of coccoliths, following the estimates by Yang and Wei (2003), and then we adopte…

Carbonate productionLongitude of eventCoccosphaerales calcium carbonate per area standard deviationwaterRV Kilo MoanaCTD/RosetteLatitude of eventBottle numberKM1712Coccosphaerales calcium carbonate per areaDate/Time of eventCalculatedCoccolithophorespteropodsNorth Pacificcalcium carbonate per volumeDEPTH waterEvent labelDate Time of eventforaminiferaCTD Rosettecalcium carbonate per areaCoccosphaeralesDEPTHStanding stocksEarth System ResearchHeteropodsCoccosphaerales calcium carbonate per volumestandard deviationStation label
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