River floods are extremely important to society because of their potential damage and fatalities. Floods are also very interesting research subjects because of the intriguing non-linear interactions and feedbacks involved, interesting issues of generalisation and the need for investigating them in an interdisciplinary way. Extreme floods are not very well understood to date but new, high resolution data and new concepts for quantifying interactions promise a major breakthrough of a body of research carried out in a coordinated way. The objective of this Research Unit is to understand in a coherent way the atmospheric, catchment and river system processes and their interactions leading to extreme river floods and how these evolve in space and time. An innovative and coherent concept has been adopted in order to maximise the potential of the cooperation between the research partners which consists of three layers of integration: research themes focusing on the science questions, subprojects revolving around specific research tasks, and a joint study object of extreme floods in Germany and Austria. Using scales as a binding element, the research plan is organised into the research themes of event processes, spatial (regional) variability, temporal (decadal) variability, and uncertainty and predictability. The members of the Research Unit have been selected to obtain a team of leading experts with expertise that is complementary in terms of processes, methods and regional knowledge. The cooperation and communication strategy will be implemented through themed cluster groups, combining several subprojects, regular meetings of the cluster groups, an annual project symposium and a private cloud facilitating data exchange on the joint study object. Equal opportunity policies will be adopted and female and early career scientists will be promoted in a major way. Overall, the outcomes of the Research Unit will constitute a step change in the understanding of the coupled system of flood processes in the atmosphere, catchments and rivers which will have major implications for a range of sciences and the society.
Entwicklung und Erprobung eines weiterbildenden Fernstudienganges Angewandte Umweltwissenschaften mit Diplomabschluss. Gestaltung eines kompletten online-Studienangebotes.
We contribute to the Landsat Science Team with a focus on long-term satellite data analysis, regional to sub-continental approaches and cross-sensor integration between Landsat and European satellite missions. Our focus is on rapidly changing land systems, including topics such as REDD+ or global land use intensification. The Landsat Data Continuity Mission (LDCM provides a backbone activity in Earth observation. The European Sentinel missions, specifically Sentinel-2, and the German Environmental Mapping and Analysis Program (EnMAP) will provide great synergies with Landsat-8 and 40 years of archived Landsat data. There are huge opportunities for synergies across sensors and scales in order to achieve better and quasi-continuous high-resolution earth observation products across time and space. At the same time, there is an urgent need to make use of these opportunities, if we wish to move global change research based on Landsat data to the next level. Our research agenda as part of the Landsat Science Team combines aspects of (1) data characterization, (2) product generation and (3) applications. Our approach seeks to maximize synergies between the exceptional depth of the Landsat archive and future European satellite missions for advancing core land system science topics. Our geographic foci include Eastern Europe and the former Soviet Union, Southeast Asia, and South America.
The HGF Alliance 'Remote Sensing and Earth System Dynamics' aims at the development and evaluation of novel bio/geo-physical information products derived from data acquired by a new generation of remote sensing satellites; and their integration in Earth system models for improving understanding and modelling ability of global environmental processes and ecosystem change. The Earth system comprises a multitude of processes that are intimately meshed through complex interactions. In times of accelerated global change, the understanding and quantification of these processes is of primary importance. Spaceborne remote sensing sensors are predestined to produce bio-geo-information products on a global scale. The upcoming generation of spaceborne remote sensing configurations will be able to provide global data sets and products with unprecedented spatial and temporal resolution in the context of a consistent and systematic observation strategy. The integration of these data sets in existing environmental and climate science components will allow a new global view of the Earth system and its dynamics, initiating a performance leap in ecosystem and climate change modelling.
General Information: The major scientific objectives of the proposed work are: (a) to reconstruct the glacial and climate history of the Eurasian Arctic for the Last Glacial Maximum (LGM) 18,000 to 20,000 years ago from field observations and remote sensing investigations and (b) to model numerically the ice sheets and their sensitivity to climate change. For the LGM, the Eurasian Arctic represents the largest uncertainty concerning the global distribution of glaciers, with order of magnitude differences in the area and volume of ice between the existing maximum and minimum ice-sheet reconstructions. In order to make a more reliable reconstruction of both the glacial and climate history, we will undertake extensive field investigations in critical sectors of the Russian Arctic that have been affected by these ice sheets. The changed political climate in Russia has allowed partners in this proposal to establish collaborative links with Russian scientists, and to gain access to key geological field sites. Such collaboration has also been enhanced by the activities of the recently established European Science Foundation Programme on the 'Quaternary Environment of the Eurasian North' (QUEEN). Improved knowledge of the palaeo environment and palaeoglaciology of the Eurasian North will give a better foundation for testing the General Circulation Models (GCMs) and thereby improve their predicting capabilities. It will also contribute to our basic understanding of the way the climate system works. The extent, thickness and timing of growth and decay of the huge Eurasian ice sheets that terminated on the North European and Siberian owl ands are crucial for understanding past climatic and oceanographic changes. Our research programme is divided into several work packages (WPs), with specific partners responsible for field investigations in different areas of the Eurasian North. The eastern flank of the Scandinavian Ice Sheet and the northward transition to the Barents Ice Sheet will be the focus of WP 1. In WP 2 we will study the development of the southern flank of the Kara Ice Sheet and in WP 3 the eastern flank of this ice sheet. The field-based studies will include geological, palynological and geo-chronological investigations of exposed sediments and cores from lake basins, together with large-scale glacial landform mapping from aerial photographs and satellite images. In Work Package 4 a mathematical ice-sheet model will be used to assess the sensitivity of ice build-up and decay in the Eurasian Arctic to an envelope of past environmental conditions. Observations on the extent of full-glacial ice, and the timing and pattern of ice sheet growth and decay, will be archived in an established digital database, and will be used to test the numerical model predictions of ice sheet geometry through time... Prime Contractor: Universitetet i Bergen, Centre for Enviornmental and resource Studies; Bergen; Norway.
Objective: The EU has formulated ambitious environmental policy targets in a variety of sectors aimed at forming the basis for a sustainable European growth with increasing prosperity and reduced pressure on natural resources and the environment. The overall motivation of the APRAISE (Assessment of Policy Interrelationships and Impact on Sustainability in Europe) project is to improve the decision basis for EU and national policy makers for selecting an efficient environmental policy mix leading to the transition towards a sustainable European society, including appropriate support for environmental investments. APRAISE aims to provide an improved understanding of the efficiency, effectiveness and efficacy of environmental policies impacts and their interactions at both the European and Member State level by taking into consideration the social, environmental and economic dimensions of sustainable development. Furthermore, APRAISE will offer guidance on ex-ante policy impact assessment and come up with general policy recommendations. APRAISE will therefore assist policymakers in reducing inefficiencies in policy design and to create win-win situations whereby economic strength goes hand in hand with environmental protection and efficient use of natural resources. The strategy of APRAISE is to combine an empirical data collection and assessment component with model-based policy scenario analysis in order to achieve a synergetic use of a variety of empirical and model-based impact assessment tools using different sources of data. The empirical component consists of ex-post assessments of policy effects, costs and social implications as well as on an improved systems understanding including interactions between different policies. In addition, the effects of environmental policies on technology development and deployment will be empirically analyzed through the use of both top-down and bottom-up models. Furthermore, stakeholder consultations will provide input through their diverse perspectives that exist within industry and government and validate the relevance of the different model components, in particular the outputs from model-based scenario analysis. Exchanges between the empiric and model-based components and their results integration of APRAISE will lead to methodological and policy recommendations. The overarching motivation of the APRAISE project is to contribute to the research and application of sustainability oriented policymaking by building a more usw.
A Virtual Hydrologic Environment (VHE) shall be developed to close the current gap between surface and subsurface hydrological modelling. A VHE is a generic representation of the physical processes that take place in the hydrological system (HS). The HS can be subdivided into surface water as well as water in soil and aquifer compartments (Fig 1) which form the subsurface system. The corresponding hydrological processes inside a HS are flow processes at the surface, like lakes, rivers and overland flow, flow processes in the soil, like unsaturated flow in soils and groundwater flow in porous and fractured media. The VHE is defined as an integrated data and model environment. Compared with the data-centred Geographic Information Systems (GIS) or physical process based numerical simulators, VHE has the ability to store geological and hydrological information in a common understandable GeoHydro/DataBase (GH/DB) structure. The GH/DB will contain the data components of the surface and subsurface in a consistent manner, which has not been achieved before as commonly both parts were only considered separately in hydrological databases and modelling. In addition, VHE can be combined with the capabilities of GIS software and remote sensing technology and facilitates the integration with numerical models, e.g. physics-based hydrological simulator GeoSys/RockFlow as it is planned for the present project. As the inherent coupled processes make the hydrologic interactions difficult to simulate, a multi-disciplinary approach is encouraged that enables a broadening of the hydrologic perspective and the advancement of hydrologic science through the integration with other related sciences and the through cross-fertilization across disciplinary boundaries. VHE as a bridge between surface and subsurface hydrology can improve our understanding of the hydrologic cycle, the interactions between water, earth, ecosystems and man and its role in the context of climate change. This is an interdisciplinary research proposal, and the following disciplines are involved: geography, hydrology, geology, scientific computing, and information technology. The proposed integration of databases and modeling from the different geo-sciences by the use of methods from scientific computing and information technology will lead to a comprehensive and consistent representation of the HS in hydrological modeling, and thus will enhance our understanding about the interactions and coupling processes between the different compartments of the HS. This research program plans to take Poyang Lake, the biggest freshwater lake in China, as an application area in an international collaborative framework.
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