D01
Scenario development
PD Dr. Wolfgang Britz
University of Bonn | +49 228 73-2912 |
Summary
Project D01 will provide ex-ante land use cover and management scenarios reflecting different socio-economic developments. The scenarios with an annual resolution until 2050 will provide results at continental scale with sub-national detail. To consider interactions at regional and global scale due to market feedback, a recursive-dynamic global Computable General Equilibrium (CGE) model will be further developed and applied for the scenario quantification. This model covers all sectors of the economy with detail for sectors relevant for land use, and considers important drivers of structural change, such as income and demography dependent changes in consumption including diets. The story lines will be developed based on the Shared Socio-Economic Pathways (SSPs) from the Intergovernmental Panel on Climate Change (IPCC).
D02
Simulating past and future responses of the terrestrial system to greenhouse gas forcing and regional anthropogenic interventions
Prof. Stefan Kollet Ph.D.
Forschungszentrum Jülich | +49 2461 619593 |
Jun. Prof. Dr. techn. Michael Schindelegger
University of Bonn | +49 228 73-6345 |
Summary
In project D02, we explore whether—and to what extent—anthropogenic interventions can lead to persistent, potentially unsustainable changes in the coupled water and energy cycles of the surface/sub-surface-atmospheric system. We address these fundamental questions by performing regional forward simulations of the terrestrial system from groundwater to the top of the atmosphere under consideration of water and energy balance constraints over the European continent and the adjacent ocean. A carefully designed hierarchy of experiments, both for historical and 21st century time lines, will facilitate the identification and spatial localization of the anthropogenic impact against the background of natural variability and greenhouse gas forcing.
D03
A fully coupled regional reanalysis framework
Dr. Jan Keller
Deutscher Wetterdienst | +49 69 8062 2859 |
Prof. Dr. Harrie-Jan Hendricks-Franssen
Forschungszentrum Jülich | +49 2461 614462 |
Dr. Arianna Valmassoi
Deutscher Wetterdienst | - |
Summary
Reanalyses of various compartments of the terrestrial system have become an important tool in climate monitoring. Although the water cycle and its variations play a crucial role in the effects of climate change, the terrestrial water cycle has not been realistically represented in reanalyses. Further, the impact of human water use and especially irrigation have not yet been accounted for in reanalyses. Project D03 therefore aims to establish a fully coupled reanalysis system to provide estimates in a comprehensive and consistent framework.
D04
Detection and attribution of anthropogenic drivers in extreme events
PD Dr. Petra Friederichs
University of Bonn | +49 228 73-5187 |
Summary
The collaborative research center’s integrated modeling system enables physically consistent simulations of the whole water and energy cycle. Our aim in this project is to investigate to what extent this improves the representation of extreme events. Our focus here is on meteorological droughts and heat waves. We compare the characteristics of extremes in the integrated modeling system with observations and reanalyses. Additionally, the impacts of different scenarios on simulation results will be addressed to attribute the extreme behavior to different forcings. Using the comprehensive representation of the water and energy cycle in the modeling system, we are especially interested in human influence, specifically changes in human land and water use.
D05
Deep generative networks for detecting anomalous events in the water cycle
Prof. Dr. Juergen Gall
University of Bonn | +49 228 73-69600 |
PD Dr. Petra Friederichs
University of Bonn | +49 228 73-5187 |
Summary
Although there is a general expectation that extreme events in the water cycle are occurring more frequently and become stronger due to climate change, it remains a challenge to identify them in large simulation data sets. While extreme events can be defined based on impact indicators like agricultural droughts, these indicators do not cover all extreme events. We therefore aim to identify extreme events in simulated water cycle components by developing novel deep networks that detect anomalous events in simulated data.
D07
Mass fluxes and budgets at catchment and continental scales
Prof. Dr. Jürgen Kusche
University of Bonn | +49 228 73-2629 |
Summary
In project D07, we analyze terrestrial/atmospheric and surface water fluxes and associated budget contributions from model simulations, reanalyses, and remote sensing observations for all larger river basins in Europe. Modeling results are combined with catchment-integrating observations like GRACE/-FO-derived water storage variability and river discharge. We compare the budgets from the CRC’s modeling system to global reanalyses and CMIP6 climate simulations. The project will quantify to what extent regional changes in land and water use contribute to observed budget changes. It will also quantify the terrestrial-atmospheric contribution of the modeling region to sea level budgets.
