ALBERT

Beschreibung: This dataset and code are related to artificial light emissions in the arctic area. They are a supplement to the report "Capabilities and limitations of advanced optical satellite missions for snow, vegetation, and artificial light source applications in Arctic areas".

Beschreibung: The South Hangai fault system, located between the uplifted Hangai Dome and the Gobi-Altai Mountains in central Mongolia, represents an ancient suture zone and terrane boundary, which is possibly an extension of the Mongol–Okhotsk suture that resulted from the closure of the Mongol–Okhotsk Ocean. The adjacent obducted Bayankhongor Ophiolite Belt is possibly the longest continuous ophiolite belt in the world. This area is important because it is associated with the Bayankhongor Metal Belt, which is an economically significant zone for ore extraction in Mongolia, including important sources of gold and copper. Electrical resistivity is a key parameter for mineral exploration. Because faults and suture zones are regions of fractured, weakened crust they often have circulating fluids that act to increase their electrical conductivity. Additionally, economic mineralization is commonly associated with a conductive signature from associated sulfide minerology. We present magnetotelluric data acquired in an array across the southern Hangai region, Valley of Lakes, Mongolia. The magnetotelluric data were used to generate 3-D electrical resistivity models of the shallow crustal structure. Because the cratonic upper crust is highly resistive (〉 1000 Ωm), the low- resistivity (〈 30 Ωm) South Hangai fault system is easily detected. It is revealed to be a major crustal-scale structure. A clear transition in crustal electrical properties was observed across the suture zone and may reflect both the rheological and petrological differences across accreted terranes. Furthermore, anomalous, low-resistivity zones in the crust are spatially associated with the surface expressions of known mineralization and resource extraction projects. By combining our electrical resistivity results with other geological and petrological data we attempt to gain insights into the potential mineral resources of this unique region, and their origin.

Beschreibung: AROSICS is a python package to perform automatic subpixel co-registration of two satellite image datasets based on an image matching approach working in the frequency domain, combined with a multistage workflow for effective detection of false-positives. It detects and corrects local as well as global misregistrations between two input images in the subpixel scale, that are often present in satellite imagery. The algorithm is robust against the typical difficulties of multi-sensoral / multi-temporal images. Clouds are automatically handled by the implemented outlier detection algorithms. The user may provide user-defined masks to exclude certain image areas from tie point creation. The image overlap area is automatically detected. AROSICS supports a wide range of input data formats and can be used from the command line (without any Python experience) or as a normal Python package.

Beschreibung: The EnPT Python package is an automated pre-processing pipeline for the new EnMAP hyperspectral satellite data. It provides free and open-source features to transform EnMAP Level-1B data to Level-2A. The package has been developed at the German Research Centre for Geosciences Potsdam (GFZ) as an alternative to the processing chain of the EnMAP Ground Segment.

Beschreibung: Forest ecosystems, their products and services play an important role in achieving ambitious climate change mitigation objectives at the same time requiring profound adaptation to climate change. Forest management schemes to support climate action have to be developed within their regional context but also have to be aligned with national or EU-level climate, forest and sustainability policies. The conference on “Managing forests in the 21st century” is the final conference of the FORMASAM, REFORCE and FOREXCLIM research projects. The conference brings together scientific experts on forest management from all over Europe facing very specific management challenges. The aim is to discuss and improve the understanding the role of forests and forest management in the context of climate change. The conference addresses climate change impacts, as well as needs for mitigation and adaptation especially with regard to the following scientific questions: 1. What are the impacts of climate extremes and disturbances? 2. What are the management challenges (and options) for resilient forests? 3. What can we do to increase the contribution of forest management to climate change mitigation?

Beschreibung: Electromagnetic (EM) method, especially Controlled Source Electromagnetic (CSEM) are a unique way of observing fluid movement at depth from the surface. The depth range of interest for hydrocarbon and geothermal applications is from about 500m to 5-7 km. For hydrocarbon reservoirs monitoring we focus to improve the recovery factors and understand fluid movement resulting in lower carbon footprint per produced barrel of oil. For geothermal applications, we can observe magma movements as aid for volcano eruption prediction or monitor producing geothermal field to improve production efficiency and to observe (in correlation with microseismic) reservoir damage and potential induced seismicity. To see percentage level variations, more detailed attention is required at all data handling stages. During acquisition, more effort is required to obtain long term stable transmitter and receiver sites including not only daily monitoring of contact resistance but also controlling them during the acquisition process to better than 1% variations. Because of the large dynamic range of the signal, a highly accurate reference level with active adjustment before the transmitted signal is necessary. While processing the data, a feedback loop between filter selection and noise suppression in the reservoir signal band allows you to optimize the filter and to reduce their effect on the anomaly itself. For a sedimentary environment, anisotropy is the biggest cause for error and misinterpretation. It is derived before the survey from existing logs using end members derived from the resistivity log based on the interaction of the layers on reservoir scale. Another serious issue is the image focus. In principle, we assume the information comes from underneath the receiver but for different measurements it comes from various volume between transmitter and receiver. As with focusing of laterologs, we use a focusing method either by differential measurements or additional borehole receivers. We are using real field measurements as example for potential misinterpretation to illustrate the severance of these issues.

Beschreibung: These data are supplementary material to Ziegler & Heidbach (2020) and present the results of a 3D geomechanical-numerical model of the stress state with quantified uncertainties. The average modelled stress state is provided for each of the six components of the full stress tensor. In addition, the associated standard deviation for each component is provided. The modelling approach uses a published lithological model and the used data is described in the publication Ziegler & Heidbach (2020). The reduced stress tensor is derived using the Tecplot Addon GeoStress (Stromeyer & Heidbach, 2017).The model results are provided in a comma-separated ascii file. Each line in the file represents one of the approx. 3 million finite elements that comprise the model.

Beschreibung: The digital transformation is one of the greatest challenges currently facing science, business and society. The lack of digitally qualified staff affects all Alliance organizations both acutely and equally. Rapid action is essential if this challenge is to be met. By pooling the strengths of the Alliance organizations it should be possible to find short or long-term solutions aimed at improving the situation for the whole academic system within a reasonable time-frame. Such cooperative solutions would impact the transition from school to university and beyond to include the time spent studying and acquiring qualifications, and continuing through to higher research training. The range of solutions could extend from the exchange of “good practice” examples through to the collective development of a range of offers, formats and strategies. There follows a description of the various challenges facing the academic system, together with details of the skills required to meet them, and the key features involved in the implementation process.

Beschreibung: Volcanic research using seismic or magnetotelluric investigations is limited to a broad scale length resolving rather big structures at depths of a few kilometres while, e.g., DC resistivity images are limited to shallow subsurface features. Thus, volcanic structures at depths of a few hundred meters are poorly imaged and few evidence of magmatic pathways and hydrothermal systems is found. Understanding details of magma rising in a volcanic conduit is the key to understand vent near eruption dynamics. Here, we want to explore the applicability of the transient electromagnetic method (TEM), a medium-range electromagnetic method, in volcanic environments on the example of Stromboli volcano, Italy. For constraining and evaluating field measurements conducted in June 2019, we use 3D finite element simulations to understand the behaviour of electromagnetic fields in topographically demanding locations. Here, we present the simulation routine and preliminary results.

Beschreibung: This dataset contains catchment average time series of five meteorological or hydrological parameters for 3872 hydrometric stations across Europe from 1960-2010. The parameters are: rainfall, soil moisture saturation, snowmelt, snow cover and convective conditions. All parameters have a daily resolution and were derived from a 0.11x0.11° reanalysis dataset. Daily averages were calculated from the pixels within each catchment, weighted by the fraction of pixel area that lies within the respective catchment. This dataset was originally created for the classification of floods by their generating process, but is also suitable for different hydrological studies.