Search results for "Earth system model"

showing 5 items of 5 documents

Effects of climate change and land use intensification on regional biological soil crust cover and composition in southern Africa

2022

Biological soil crusts (biocrusts) form a regular and relevant feature in drylands, as they stabilize the soil, fix nutrients, and influence water cycling. However, biocrust forming organisms have been shown to be dramatically vulnerable to climate and land use change occurring in these regions. In this study, we used Normalized Difference Vegetation Index (NDVI) data of biocrust-dominated pixels (NDVIbiocrust) obtained from hyperspectral and LANDSAT-7 data to analyse biocrust development over time and to forecast future NDVIbiocrust development under different climate change and livestock density scenarios in southern Africa. We validated these results by analysing the occurrence and compo…

010504 meteorology & atmospheric sciencesNDVISoil ScienceLibrary science01 natural sciencesGermanRegional developmentEffects of global warmingPolitical science11. SustainabilityNobel laureateBiocrustmedia_common.cataloged_instanceSpatial distributionEuropean union0105 earth and related environmental sciencesmedia_common2. Zero hungerLand useEuropean researchLivestock density04 agricultural and veterinary sciences15. Life on landRemote sensingEcologíaSpace-for-time studylanguage.human_languageEarth system modelDrylands soils13. Climate action040103 agronomy & agriculturelanguage0401 agriculture forestry and fisheriesChristian ministryMulti-temporal Landsat imageryGeoderma
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Constraining Uncertainty in Projected Gross Primary Production With Machine Learning

2020

The terrestrial biosphere is currently slowing down global warming by absorbing about 30% of human emissions of carbon dioxide (CO2). The largest flux of the terrestrial carbon uptake is gross primary production (GPP) defined as the production of carbohydrates by photosynthesis. Elevated atmospheric CO2 concentration is expected to increase GPP (“CO2 fertilization effect”). However, Earth system models (ESMs) exhibit a large range in simulated GPP projections. In this study, we combine an existing emergent constraint on CO2 fertilization with a machine learning approach to constrain the spatial variations of multimodel GPP projections. In a first step, we use observed changes in the CO2 sea…

551.6Atmospheric Science010504 meteorology & atmospheric sciencesComputer scienceSoil ScienceAquatic Science01 natural sciences7. Clean energy010104 statistics & probabilityEconometricsErdsystemmodell -Evaluation und -Analyse[MATH]Mathematics [math]0101 mathematics0105 earth and related environmental sciencesWater Science and TechnologyEcologyEarth System ModelsPaleontologyPrimary productionmodelingForestryGross Primary Production15. Life on landCMIPFuture Climate Projections13. Climate actionEnvironmental scienceJournal of Geophysical Research: Biogeosciences
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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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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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Earth System Chemistry integrated Modelling (ESCiMo) with the Modular Earth Submodel System (MESSy) version 2.51

2016

Abstract. Three types of reference simulations, as recommended by the Chemistry–Climate Model Initiative (CCMI), have been performed with version 2.51 of the European Centre for Medium-Range Weather Forecasts – Hamburg (ECHAM)/Modular Earth Submodel System (MESSy) Atmospheric Chemistry (EMAC) model: hindcast simulations (1950–2011), hindcast simulations with specified dynamics (1979–2013), i.e. nudged towards ERA-Interim reanalysis data, and combined hindcast and projection simulations (1950–2100). The manuscript summarizes the updates of the model system and details the different model set-ups used, including the on-line calculated diagnostics. Simulations have been performed with two diff…

ECHAM550010504 meteorology & atmospheric sciencesMeteorologyEarth System ModellingModel system010501 environmental sciences010502 geochemistry & geophysics01 natural sciencesMESSyErdsystem-ModellierungHindcastChemistry-Climate Model IntiativeProjection (set theory)0105 earth and related environmental sciencesTropospheric aerosolEMACbusiness.industrylcsh:QE1-996.5DATA processing & computer scienceModular designlcsh:GeologyEarth system science13. Climate actionClimatologyAtmospheric chemistryAtmospheric Chemistryddc:004business
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