- Business Process Modeling and Analysis
- Geology and Paleoclimatology Research
- Service-Oriented Architecture and Web Services
- Cryospheric studies and observations
- Climate variability and models
- Methane Hydrates and Related Phenomena
- Model-Driven Software Engineering Techniques
- Semantic Web and Ontologies
- Medical Imaging Techniques and Applications
- Natural Language Processing Techniques
- Arctic and Antarctic ice dynamics
- Climate change and permafrost
- Geological Studies and Exploration
- Ocean Acidification Effects and Responses
- Marine and environmental studies
- Meteorological Phenomena and Simulations
- Computational Fluid Dynamics and Aerodynamics
- Manufacturing Process and Optimization
- Software Engineering Techniques and Practices
- Scheduling and Optimization Algorithms
- Simulation Techniques and Applications
- Modeling and Simulation Systems
- COVID-19 diagnosis using AI
- Reservoir Engineering and Simulation Methods
- Marine and coastal ecosystems
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
2020-2025
University of Bayreuth
2013-2023
American Jewish Committee
2023
IT University of Copenhagen
2023
Tokyo Institute of Technology
2023
Administration for Community Living
2023
Abstract Business processes are frequently executed within application systems that involve humans, computer as well objects of the Internet Things (IoT). Nevertheless, usage IoT technology for system supported process execution is still constrained by absence a common architecture manages communication between both worlds. In this paper, we introduce an integrated approach IoT-aware business exploits BPM providing data in process-compatible way, provenance framework, considering interaction...
Abstract We simulate the two Coupled Model Intercomparison Project scenarios RCP4.5 and RCP8.5, to assess effects of melt‐induced fresh water on Atlantic meridional overturning circulation (AMOC). use a newly developed climate model with high resolution at coasts, resolving complex ocean dynamics. Our results show an AMOC recovery in simulations run without included ice sheet model. find that adds strong decadal variability freshwater release, resulting intervals which it reduces surface...
The Atlantic Meridional Overturning Circulation (AMOC) is a crucial component of our climate system, influencing water mass formation and transformation. It driven by buoyancy fluctuations mixing within the column. AMOC often studied using models calculating strength indexes based on constant depth intervals (z-AMOC). However, at high latitudes, where deep forms in Atlantic, isopycnals are much steeper than subtropical regions. This means that z-AMOC framework may not fully capture processes...
The Eocene-Oligocene Transition (EOT) (~34.4–33.7 Ma) is not only known for its drastic shift from greenhouse to icehouse climate, but also a dynamic ocean gateway configuration. Southern Ocean gateways are expected open during this period, while the Arctic likely remains largely isolated, resulting in distinct circulation patterns.Using AWI-Earth System Model (AWI-ESM) coupled Parallel Ice Sheet (PISM), we explore dynamics under an straight configuration markedly different...
Abstract. The Greenland Ice Sheet has lost ice at an increasing pace over recent decades, driven by a combination of human-caused climate change and internal variability the system. In projections future sheet evolution, results in uncertainty that cannot be reduced through model improvements, due to intrinsically chaotic nature This study describes Large Ensemble (GrISLENS), first large ensemble evolution under which resolves individual outlet glaciers as well calibrated observations....
Paleoclimate data play a crucial role in validating advanced coupled climate models by offering insights into past transitions, which can inform our understanding of potential future conditions that may diverge significantly from today's climate. By examining warm periods, we assess the performance during interglacials and warmer climates. This talk will highlight how integrating paleoclimate records with model simulations helps bridge knowledge gaps, focusing on impact ocean circulation,...
It is highly challenging to include both the Antarctic and Greenland ice sheets in a state-of-the-art earth system model. Our presentation demonstrates our system's design, essential steps before coupling entire system, challenges faced process, initial findings from series of simulations for warming scenarios spanning next few centuries until 2500.We will highlight existing limitations computed climate conditions that affect behavior sheets. These motivate design. For instance, ocean...
Numerical model simulations are an essential tool for assessing effects of global warming on the climate system in future greenhouse gas concentration scenarios. Commonly, these cover only next few centuries or use low-complexity models longer periods. However, to assess dynamics Earth components with long response times like ocean ice sheets, multi-millennial comprehensive essential.Here, we present complex System Model AWIESM, covering integration time beyond typical CMIP scale. The runs a...
Abstract. Interactions between the climate and cryosphere have potential to induce strong non-linear transitions in Earth's climate. These interactions influence both atmospheric circulation, by changing ice sheet's geometry, as well oceanic modification of water mass properties. Furthermore, waxing waning large continental sheets influences global albedo, altering energy balance Earth System inducing climate-ice sheet feedbacks on a scale evident Pleistocene glacial-interglacial cycles. To...
Abstract Automated process discovery is a technique that extracts models of executed processes from event logs. Logs typically include information about the activities performed, their timestamps and resources were involved in execution. Recent approaches to put special emphasis on (human) resources, aiming at constructing resource-aware contain inferred resource assignment constraints. Such constraints can be complex so far have missed opportunity represent expressive assignments...
In this paper, we describe a novel approach of extracting models from natural language text sources. This requires linguistic analysis as well techniques for interpreting and using the results. Our engine provides feature rule-based model element detection. Furthermore, presented enables users to generate domain- application-specific detection rules based on sample sentences. Detection also have be connected instantiation respective type element. is done through highly system-supported...
Abstract The Declare process modeling language has been established within the research community for so-called flexible processes. follows declarative paradigm and therefore guarantees execution. For several reasons, models turned out to be hard read comprehend. Thus, it is also decide whether two are equal with respect their semantic meaning, one model completely contained in another or how far overlap. In this paper, we follow an automaton-based approach by transforming into finite state...