001018702 001__ 1018702
001018702 005__ 20240722140936.0
001018702 037__ $$aFZJ-2023-04996
001018702 1001_ $$0P:(DE-Juel1)178689$$aHartick, Carl$$b0$$eCorresponding author$$ufzj
001018702 245__ $$aIntegrated Terrestrial Simulations over Europe: Groundwater-Atmosphere Feedbacks with Altered Water Tables Including the Effect of Recent Droughts$$f2019-04-01 - 2023-06-26
001018702 260__ $$c2023
001018702 300__ $$a117p
001018702 3367_ $$2DataCite$$aOutput Types/Dissertation
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001018702 3367_ $$2BibTeX$$aPHDTHESIS
001018702 3367_ $$02$$2EndNote$$aThesis
001018702 3367_ $$0PUB:(DE-HGF)11$$2PUB:(DE-HGF)$$aDissertation / PhD Thesis$$bphd$$mphd$$s1721650149_28942
001018702 3367_ $$2DRIVER$$adoctoralThesis
001018702 502__ $$aDissertation, University of Bonn, 2023$$bDissertation$$cUniversity of Bonn$$d2023
001018702 520__ $$aThe groundwater flow is an essential part of the terrestrial system encompassing the atmosphere, land surface, and subsurface. In past research, there was usually no focus on water in the subsurface because climate models worked with simplified free drainage assumptions. However, recent research has shown that the groundwater table has a vital memory function, especially in hydrometeorological extremes. Droughts are remembered for long timescales, but surpluses in groundwater can also mitigate current water deficits. Groundwater can also interact in feedback loops altering the water and energy cycle.Suited to investigate these research questions in a modeling environment is the Terrestrial Systems Modeling Platform (TSMP). TSMP couples an atmospheric, land surface and subsurface model to simulate the whole water cycle from the bedrock to the cloud top. Three studies exploring groundwater interactions utilizing TSMP over Europe are combined in this thesis. First, groundwater memory and predictability are investigated by combining three states of recent droughts with past atmospheric boundary conditions leading to a model ensemble with varying drought initial conditions. The ensemble was simulated for one year resembling atmospheric uncertainty and natural variability. The results show the increased probability of ongoing drought conditions and the dominant influence of the initial condition on the timescale of one year over atmospheric forcing.Secondly, the results of the drought ensembles are compared to the original realization of the years not influenced by drought conditions. The comparison reveals changes in the energy cycle with more available energy at the surface. Together with changes in cloud properties, the results indicate a drought feedback loop where the persisting water deficits contribute to higher and thinner clouds leading to increased incoming shortwave radiation at the ground.Lastly, potential feedback processes between groundwater and precipitation are further investigated, showing that a climatology with a shallower water table due to changed parameters also influences rainfall at the continental scale. This feedback connecting groundwater and precipitation makes calibration impossible in a fully coupled system. Furthermore, the feedback highlights the potential influence of altered water tables due to climate change in the future.The results of this thesis highlight the importance of incorporating groundwater in climate models, especially in hydrometeorological extremes. Significant interactions are observed between all components of the terrestrial system, which would otherwise be overlooked. While including a complex groundwater representation is connected to additional computational costs, feedback processes strongly influencing atmospheric processes are essential for climate projections. Further improvement of the physical representation of numerical models and increased resolutions might additionally emphasize the connections in the future.
001018702 536__ $$0G:(DE-HGF)POF4-5111$$a5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511)$$cPOF4-511$$fPOF IV$$x0
001018702 536__ $$0G:(DE-HGF)POF4-2173$$a2173 - Agro-biogeosystems: controls, feedbacks and impact (POF4-217)$$cPOF4-217$$fPOF IV$$x1
001018702 8564_ $$uhttps://bonndoc.ulb.uni-bonn.de/xmlui/handle/20.500.11811/10967
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001018702 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)178689$$aForschungszentrum Jülich$$b0$$kFZJ
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001018702 9131_ $$0G:(DE-HGF)POF4-217$$1G:(DE-HGF)POF4-210$$2G:(DE-HGF)POF4-200$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-2173$$aDE-HGF$$bForschungsbereich Erde und Umwelt$$lErde im Wandel – Unsere Zukunft nachhaltig gestalten$$vFür eine nachhaltige Bio-Ökonomie – von Ressourcen zu Produkten$$x1
001018702 9141_ $$y2023
001018702 920__ $$lyes
001018702 9201_ $$0I:(DE-Juel1)JSC-20090406$$kJSC$$lJülich Supercomputing Center$$x0
001018702 9201_ $$0I:(DE-Juel1)IBG-3-20101118$$kIBG-3$$lAgrosphäre$$x1
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