0000000000350370

AUTHOR

P. Bodesheim

showing 2 related works from this author

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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Scaling carbon fluxes from eddy covariance sites to globe: synthesis and evaluation of the FLUXCOM approach

2020

FLUXNET comprises globally distributed eddy-covariance-based estimates of carbon fluxes between the biosphere and the atmosphere. Since eddy covariance flux towers have a relatively small footprint and are distributed unevenly across the world, upscaling the observations is necessary to obtain global-scale estimates of biosphere–atmosphere exchange. Based on cross-consistency checks with atmospheric inversions, sun-induced fluorescence (SIF) and dynamic global vegetation models (DGVMs), here we provide a systematic assessment of the latest upscaling efforts for gross primary production (GPP) and net ecosystem exchange (NEE) of the FLUXCOM initiative, where different machine learning methods…

Meteorologie en Luchtkwaliteit010504 meteorology & atmospheric sciencesMeteorology and Air Qualitylcsh:LifeEddy covarianceFlux010501 environmental sciencesAtmospheric sciences01 natural sciencesCarbon cycle03 medical and health sciencesFluxNetLaboratory of Geo-information Science and Remote Sensinglcsh:QH540-549.5ddc:550Life ScienceLaboratorium voor Geo-informatiekunde en Remote SensingBiogeosciences[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environmentScalingEcology Evolution Behavior and Systematics030304 developmental biology0105 earth and related environmental sciencesCarbon fluxEarth-Surface ProcessesSDG 15 - Life on Land[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere0303 health sciencesWIMEKlcsh:QE1-996.5Carbon sinkBiospherePrimary production15. Life on landlcsh:GeologyEarth scienceslcsh:QH501-53113. Climate actionGreenhouse gasEnvironmental sciencelcsh:Ecology
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