NorStore Projects in 2012
This page contains the list of projects with allocations 2012.
| Account number | Title & abstract | Project responsible |
|---|---|---|
| NS2345K | NorClim - Global climate modelling | Helge Drange, UiB, Bergen |
| No abstract available. | ||
| Present on: norstore_trd | ||
| NS2506K | Quantum chemical modeling of catalysis and spectroscopy - storage | Knut J. Børve, Kjemi, UiB, Bergen |
| No abstract available. | ||
| Present on: norstore_osl | ||
| NS2806K | Atmospheric chemistry and aerosol modelling | Frode Stordal, Geofag, UiO, Oslo |
| No abstract available. | ||
| Present on: norstore_trd | ||
| NS2980K | Biogeochemical Earth system Modelling - Data Archiving (NN2980K) | Christoph Heinze, UiB, Bergen |
| No abstract available. | ||
| Present on: norstore_trd | ||
| NS4705K | IPY-THORPEX-Norway (Oslo group) | Gudmund Dalsbø, UiO, Oslo |
| In the north Atlantic several adverse weather phenomena (arctic fronts, polar lows, terrain-induced disturbances) expose human activities and the environment to high risks. There is a need for improved understanding and forecasting of these. A major impediment is the sparse network of observations. Polar orbiting satellites cover high latitudes well, and new instrumentation provides promising sources of information. IPY-THORPEX-Norway aims to significantly improve forecasts by designated observations including campaigns and by modeling and data assimilation. We also study how climate change may influence the frequency and character of adverse weather. We will leave a legacy of an improved observational network, enhanced exploitation of satellite data, and improved numerical weather prediction. In the data assimilation developments a full numerical weather prediction modeling system (ALADIN) is used. The methods and quality of this are state-of-the-art, and it is used operationally in several countries. The system is computationally demanding. The initial state is determined in a three-dimensional variational system using a model forecast as first guess and a large range of available conventional and satellite observations. The effort is on use of the new IASI satellite instrument. Processing these data in the system adds to the computational demand. To assess the impact of increased measurements in the arctic area from our measurement campaign an ensemble prediction system is used. This is based on met.no's LAMEPS, using an ensemble of HIRLAM forecasts. This approach is needed in a probabilistic way to separate the input of chaos from the added value of increased observation network. | ||
| Present on: norstore_trd | ||
| NS9000K | Norwegian genotyping and phenotyping data storage | Kjell Petersen, UiB, Bergen |
| Through this project the National technology platform for Bioinformatics supported by the FUGE program aims to make it possible for users in the biosciences to store their data in a systematic and safe way. We will establish a steering group that in agreement with NorStore policies give individual users in the life science community access to storage space at NorStore. The steering group will have national representation and also represent major user groups primarily through relevant FUGE technology platforms. We will work to provide the users with ease of access to the storage space integrated with data analysis and processing services, and when appropriate ensure data security and privacy. | ||
| Present on: norstore_osl | ||
| NS9001K | High resolution climate simulations for limited geographical regions | Nils Gunnar Kvamstø, GFI, UiB, Bergen |
| Climate change is simulated with global climate models (GCM) containing a computational grid with typically 250km distance between the computational points. The simulated atmospheric (and oceanic) structures will then retain a relatively coarse spatial resolution that in many cases is not suited for input to climate adaption and climate mitigation studies. To overcome these problems, several techniques to obtain more detailed atmospheric structures have been developed. One such class is nested limited area models (LAM). Such models have a high density of computational points over limited areas and are driven by atmospheric structures simulated by the GCMs. In this project we will produce high resolution climate simulations with a LAM called WRF in different regions of the world. The simulated results may be used by the effect research community and may also be an object for scientific studies in atmospheric research. | ||
| Present on: norstore_trd | ||
| NS9003K | Ultra-High Throughput Sequencing Platform | Alexander Nederbragt, CEES, Oslo |
| No abstract available. | ||
| Present on: norstore_osl | ||
| NS9005K | European Monitoring and Evaluation Programme | Hilde Fagerli, Met.no, Oslo |
| The air pollution section at the Meteorological Institute is involved in sev- eral projects related to the scientific assesment of air pollution for political purposes (www.emep.int), using the ”Unified EMEP Model” (a simulation software for air pollution). The main project is the EMEP project (European Monitoring and Evaluation Programme) which is a scientifically based and policy driven programme under the Convention on Long-range Transbound- ary Air Pollution for international co-operation to solve transboundary air pollution problems (www.emep.int). The EMEP model make use of large amount of meteorological data. This data is reused several times at irregular intervalls (over several years). In addition the model itself produces larges amount of data. So far the work disks on Stallo has been used as a permanent storage resource, with backup from tape at met.no. In a new project which will assess the effect of climate changes on air pollution, 100 years of meteorological data will be produced, corresponding to about 10TB. This data, or parts of it, will be reused several times during the coming years. We would like to use the NORSTORE resources to ease the availability of the data on the national computer facilities. In addition, since we may need more storage resources in the future, we would like to get acquainted to the system and its potential. | ||
| Present on: norstore_trd | ||
| NS9007K | Data storage for the QUIET experiment | Hans Kristian Eriksen, Astrofysikk, UiO, Oslo |
| QUIET is an experiment that measures the cosmic microwave background, which is left-over radiation from the Big Bang. Its goal is to understand the physical processes that worked during the very first few seconds of the history of the universe. These measurements are made by observing the sky with a very sensitive "TV antenna", to measure the amount of radiation that comes in from each direction on the sky. This provides an image of the density of matter and energy in the early universe, from which it is possible to disentangle the evolution history of structures in the universes. The main challenges connected to experiment revolves around two main themes. First, one has to build exquisitively sensitive detectors. Second, one has to reduce a huge amount of data, tens or hundreds of terabyte, into a small set of physical numbers. This second task is the main responsibility of the group at the Institute of Theoretical Astrophysics, and is currently done at Titan, the cluster owned and operated by the University of Oslo. In terms of raw CPU power, the group currently have sufficient computational resources to reduce the existing data set. However, we expect a large quantity of new data (tens of TB) to arrive during this coming fall, and we therefore need more disk space on short to intermediate time scales. The current application addresses this issue. | ||
| Present on: norstore_osl | ||
| NS9008K | Shared Language Technology Resources | Stephan Oepen, UiO, Oslo |
| Moderne språkteknologi er preget av tunge beregninger over store tekstmengder. Tekstmengdenes størrelse vokser i takt med økte regneressurser og tilgjengelighet av tekster bl.a. via web. Innsamling av tekster og andre språkressurser er kostbart. Det er derfor et poeng at de kan gjenbrukes og stilles til rådighet for andre. Dessuten, at forskjellige forskningsgrupper opererer på de samme data gjør forskningsresultater sammenliknbare. Disse fellesressursene distribueres i dag av to ikke−kommersielle konsortier, Linguistic Data Consortium i USA (LDC, www.ldc.upenn.edu) og European Language Resource Association i Europa (ELRA, www.elra.info). Forskningsgrupper kjøper ressurser fra konsortiene og installerer dem på egne maskiner. | ||
| Present on: norstore_osl | ||
| NS9009K | Multichannel brain recordings | Haagen Waade, NTNU, Trondheim |
| Neuroscience is one of the fastest-developing areas of science. The field is on the brink of discovering the mechanisms for complex mental functions, considered by many as among the most challenging problems in science. With the description of mechanisms for neural computation in an increasing number of experimental model systems, we are convinced that 21st century neuroscientists will be able to extract the fundamental operational principles of mammalian brain circuits, in much the same way as the discovery of the DNA code revolutionized biology half a century ago. For this potential to be realized, however, scientists need to face the challenge of increasingly large data sets that need storage space as well as heavy computational power for analysis. Using tools from statistical physics and theory of statistical inference, we shall advance the analysis from single neurons or pairs of neurons to the collective dynamics of populations of correlated and interacting neurons. The exponential increase in the size of the data puts considerable demands on storage space. The present proposal is an application for NORSTORE storage space to allow data collected at the Kavli Institute to be stored for later analysis by members of the institute as well as external users. It is our belief that, with new generations and frequent external users, the long-term availability of raw data will benefit enormously the analysis of neural function in healthy and diseased brains. | ||
| Present on: norstore_osl | ||
| NS9010K | Physics of Geological Processes Data Archive | Galen Gisler, UiO, Oslo |
| The Center for the Physics of Geological Processes (PGP) uses the methods of computational, observational, experimental, and analytical science to study the intense and sometimes violent geological processes that have given rise to the patterns we see today expressed in the Earth’s crust. We address the physics of these processes in an interlocking system of projects that study the mechanics of plate margins, the localisation of stress into faults and fractures, the dynamics of geophysical microstructures, processes at interfaces between materials of different kinds, and the physics of geological fluids that mediate these materials and scales. Each of these projects has its own data archival and computational needs, but it is the linkages among all of them that are central to the mission of PGP, and the reason we need large amounts of storage space for our own exploitation. | ||
| Present on: norstore_osl | ||
| NS9011K | The genomic hyperbrowser | Eivind Hovig, UiO, Oslo |
| No abstract available. | ||
| Present on: norstore_osl | ||
| NS9013K | DNA and RNA sequencing of cancers | Rolf Skotheim, Rikshospitalet, Oslo |
| There is a need for improved biomarkers and drug-targets for cancer. We are using high-throughput DNA/RNA sequencing in an effort to identify cancer-specific changes in the genomes and transcriptomes of cancer patients and their respective tumours. Such analyses generate large amounts of data (e.g. 3 Tb raw data per week and 0.3 Tb processed data), and the data is considered sensitive, as the DNA sequences hold information which can be used to identify the patients from which the samples are derived. Thus, we apply for secure storage at NorStore for this project. | ||
| Present on: norstore_osl | ||
| NS9014K | scandiasyn | Janne Bondi Johannessen, UiO, Oslo |
| No abstract available. | ||
| Present on: norstore_osl | ||
| NS9015K | Climate studies with Bergen Climate Model and turbulence models | Yongqi Gao, NERSC, Bergen |
| In this project, the Norwegian Earth System Model (NorESM), the Bergen Cimate Model (BCM) and the ocenaic component of BCM will be used to understand the natural climate variability and man-made change in climate with focus on the Arctic-Atlantic regions. Emphasis will also be made to study the climate teleconnection between high and mid-latitudes. | ||
| Present on: norstore_trd | ||
| NS9016K | Predictability and sensitivity of Arctic sea ice | Jens Debernard, Met.no, Oslo |
| No abstract available. | ||
| Present on: norstore_trd | ||
| NS9017K | BioGateway | Martin Tremen R. Kuiper, NTNU, Trondheim |
| No abstract available. | ||
| Present on: norstore_trd | ||
| NS9019K | meso and micro scale wind modelling | Øyvind Byrkjedal, Kjeller Vindteknikk, Kjeller |
| No abstract available. | ||
| Present on: norstore_osl | ||
| NS9020K | Molecular Dynamics Simulations of Biological Systems | Knut Teigen, Biomed, Bergen |
| Understanding the movements of biological molecules, for example proteins, DNA and lipid membranes are essential to understand their function. This helps us to better understand the causes of diseases and in the development of new drugs. Biomolecules are highly flexible and their movements can be studied by simulating their movements in supercomputers. Such simulations involve solving Newtons equations of movement for all the atoms in the system, often several hundred thousand of them. If you were able to find a camera with high enough resolution to see molecules at atomic resolution, you would need an extremely fast high speed camera to catch their movements, as atoms move extremely fast. In the computer, the atoms are allowed to move about 1 femto-second before a new position is calculated. This process is repeated several million times so that we can visualize the movement on the nano- to micro-second timescale. The position of each atom in the system is written to a file at certain intervals during the simulation, so that a video of the movements can be visualized. Such files routinely contain several thousand frames, all of which hold the position of several hundred thousand atoms and represent a substntial challenge when it comes to storage and handling. | ||
| Present on: norstore_osl | ||
| NS9021K | Laser Scanning Microscopy | P. Johannes Helm, IMB, |
| The two main branches of Laser-Scanning-Microscopy (LSM), Confocal-Laser-Scanning-Microscopy (CLSM) and Multi-Photon-Laser-Scanning-Microscopy (MPLSM), are the most popular and important optical microscopic technologies in the life sciences. While the former chiefly is a tool for recording fixed preparations or in-vitro studies, MPLSM, following its first successful application in 1990 and subsequent commercialization, has become the method of choice for high resolution optical microscopy on living biological preparations, both in-vivo and, sometimes combined with electrophysiological methods, in-vitro. Preparations may be stained with one, or several fluorescent dye substances, which mark specifically interesting morphological structures or indicate ongoing cell physiological processes. A main feature of both technologies is the possibility to generate series of so called "optical slices" of preparations in order to get 3D- or, combined with time resolution experiments, 4D-information. In case of multi-channel-imaging with different fluorescent markers, up to four different 4D-series of images establish one measurement. Employing different scanning techniques, the pixelated images are recorded and stored before being processed (filtered, in order to reduce noise and smoothen or sharpen structures, assembled to 3D-renderings). While older instruments exclusively had 8-bit Analog-Digital-Converters, modern instruments record 12-bit or 16-bit images. The number of pixels per optical slice and channel varies between 64*64 and 4096*4096. Depending on the thickness of the preparation, up to 500 optical slices per channel are recorded. While smaller and less expensive LSM-systems are often owned by research groups, full-scale-MPLSM systems are often established as core facilities. Obviously, any LSM facility needs reliable and large scale data storage systems. | ||
| Present on: norstore_osl | ||
| NS9022K | Data management for the Norwegian Offshore Wind Enery Research Infrastructure | Joachim Reuder, GFI, UiB, Bergen |
| The two Norwegian CEERs NORCOWE and NOWITECH have been awarded two infrastructure grants to build up a national Norwegian infrastructure for Offshore Wind Energy related research and development. This infrastructure will consist of various distributed measurement facilities and additional mobile instruments, both for short term deployments in measurement campaigns and for longer-term to semi-permanent monitoring. A flexible and modular data management concept has to be developed for this infrastructure project and Norstore is assumed to be the ideal partner for this. In a first step a basic data management system should be developed for existing instrumentation already deployed and producing data. It should include the conversion of raw data into NetCDF format and merging with the appropriate meta data, the provision of the storage facilities and the access interface for various user groups with different access rights. | ||
| Present on: norstore_trd | ||
| NS9023K | Norwegian Satellite Earth Observation Database for Marine and Polar Research | Øystein Godøy, Met.no, Oslo |
| NORMAP will systematically provide access to reliable Earth Observation data to stimulate, strengthen and assist multidisciplinary environmental, ecosystem and climate research applications. NORMAP builds on a vision that by 2020 Norway aims to be an internationally leading country in the integrated use of satellite EO data for: (i) cutting edge research and applications targeting the environmental, ecosystem and climate changes in the Nordic Seas and Arctic regions, and (ii) knowledge-based support to management and industry. The NORMAP repository will comprise geo-referenced and co-located EO data, including long-term time series and daily updated near real-time data. Its technical design will be aligned with international interoperability standards as approved by INSPIRE, WMO Information System (WIS) and GEOSS. The web-based NORMAP data repository will be linked with and complementing the global satellite data catalogues of the space agencies as well as oceanographic and meteorological databases in Norway and the Svalbard Integrated Arctic Earth Observing System (SIOS). | ||
| Present on: norstore_trd | ||
| NS9024K | Climate feedbacks of aerosols via water vapour in cloud-free air | Jon Egill Kristjansson, UiO, Oslo |
| This project studies aerosol-cloud-water vapour feedback mechanisms using the WRF-Chem community model. The project is using the model to study if anthropogenic aerosols have a measureable effect on water vapor concentration in the troposphere. Water vapor is a very important green house gas. It is possible that anthropogenic aerosol particles, which can increase the number of small droplets in clouds, may lead to an increase in atmospheric water vapor as these smaller droplets evaporate. This study aims to see if this effect can be observed in WRF-Chem simulations of atmospheres containing warm clouds, and later in simulations that contain mixed-phase clouds. To our knowledge, this indirect climatic effect has not yet been looked for in atmospheric models. | ||
| Present on: norstore_trd | ||
| NS9026K | BCCR Paleoclimate Modelling | Camille Li, Uni BCCR, Bergen |
| The Bjerknes Centre for Climate Research is host to one of the leading interdisciplinary research teams on understanding past climate change. Studying past climates provides knowledge about the range of behaviour that the climate system can exhibit, and has shown that the Earth's climate system is capable of shifting between dramatically different climate states in a matter of years to decades (particularly well documented during the last ice age). We would like to understand how and why different climate states have existed in the past, as well as the mechanisms behind abrupt climate events in order ascertain the possibility of their reoccurence in the future. Climate models are an invaluable tool, but there is no one perfect model suited to studying past climates, especially given the diverse time scales and processes involved. Not only is it critical to use different models to address different problems, it is also important to participate in community model intercomparison projects (MIPs) to investigate model spread and facilitate model improvement. This project will use computational resources to run climate simulations using the Norwegian Earth System Model (NorESM) and its atmospheric component, the Community Atmosphere Model (CAM). Long NorESM simulations of the Last Glacial Maximum, the Pliocene warm period, and a future 1% CO2 increase scenario will be BCCR contributions to several international MIPs. Sensitivity experiments with CAM will be used to test hypotheses on the role of sea ice and atmprocesses in driving abrupt climate events during the last ice age. Please note that the storage requirements requested here pertain only to the CAM3 simulations in the project description. | ||
| Present on: norstore_trd | ||
| NS9027K | Quantifying projected impacts under 2°C warming | Jan Erik Haugen, Met.no, Oslo |
| Political discussions on the European goal to limit global warming to 2°C demands that discussions are informed by the best available science on projected impacts and possible benefits. IMPACT2C enhances knowledge, quantifies climate change impacts, and adopts a clear and logical structure, with climate and impacts modelling, vulnerabilities, risks and economic costs, as well as potential responses, within a pan-European sector based analysis. IMPACT2C utilises a range of models within a multi-disciplinary international expert team and assesses effects on water, energy, infrastructure, coasts, tourism, forestry, agriculture, ecosystems services, and health and air quality-climate interactions. IMPACT2C introduces key innovations. First, harmonised socio-economic assumptions/scenarios will be used, to ensure that both individual and cross-sector assessments are aligned to the 2°C (1.5°C) scenario for both impacts and adaptation, e.g. in relation to land-use pressures between agriculture and forestry. Second, it has a core theme of uncertainty, and will develop a methodological framework integrating the uncertainties within and across the different sectors, in a consistent way. In so doing, analysis of adaptation responses under uncertainty will be enhanced. Finally, a cross-sectoral perspective is adopted to complement the sector analysis. The project also assesses climate change impacts in some of the world’s most vulnerable regions: Bangladesh, Africa (Nile and Niger basins), and the Maldives. IMPACT2C integrates and synthesises project findings suitable for awareness raising and are readily communicable to a wide audience, and relevant for policy negotiations. | ||
| Present on: norstore_trd | ||
| NS9138K | Offshore wind energy - NORCOWE | Idar Barstad, UiB, Bergen |
| An Offshore wind energy centre have been established by NFR-funding, industrial and research institutional contributions, October 2009. Work package 1 in the centre; NORCOWE (www.norcowe.no) will have rather large computational requirements and storage. We start up our our model activity this year, and will require storage for our data produced by models. The main consumer of data is a coupled atmosphere and ocean wave system (WRF-MCEL-WAM/SWAN; see www.wrf-model.org) and in 2010, testing phase of components will take place. The objective for this 6 mos' grant will be to perform tests on the system. | ||
| Present on: norstore_trd | ||
| NS9168K | Marine Ecosystems in a changing climate | Corinna Schrum, GFI, UiB, Bergen |
| Exposed to changing anthropogenic and climatic influences marine ecosystems are subject to continuous change on different time and spatial scales. Resolving past climatic and anthropogenic induced ecosystem variations was often done with the focus on observational approaches, utilizing operational systems and data sets. In contrast, to address political and societal needs for sustainable management of marine resources, the development, improvement and finally the applicaton of coupled physical-biological models deemed necessary to project potential future ecosystem variations and their implications for society. Within the project the coupled physical-biological ecosystem model ECOSMO is used to run a set of selected climate change scenarios stand alone and combined climate change and management scenarios. The model will produce high resolution data for the North Sea, the Barents Sea and the Baltic Sea, these data sets are highly relevant for a number of user from fisheries science and marine biology and will be further used to address climate change impacts on higher trophic levels such as marine fish and marine mammals. The data will be made available to a wider research community. | ||
| Present on: norstore_trd | ||
| NS9191K | Viscous flow around marine structures | Bjørnar Pettersen, NTNU, Trondheim |
| No abstract available. | ||
| Present on: norstore_trd | ||
| NS9207K | Development and testing of a super climate modelling | Noel Keenlyside, GFI, UiB, Bergen |
| Scientists develop computer models of real, complex systems to increase understanding of their behaviour and make predictions. A prime example is the Earth's climate. Complex climate models are used to compute the climate change in response to expected changes in the composition of the atmosphere due to man-made emissions. Years of research have improved the ability to simulate the climate of the recent past but these models are still far from perfect. The model projections of the globally averaged temperature increase by the end of this century differ by as much as a factor of two, and differ completely in regard to projections for specific regions of the globe. Current practice commonly averages the predictions of the separate models. Our proposed approach is instead to form a consensus by combining the models into one super model. The super model has learned from past observations how to optimally exchange information among individual models at every moment in time. Results in nonlinear dynamics suggest that the models can be made to synchronize with each other even if only a small amount of information is exchanged, forming a consensus that best represents reality. The goal of this project is to combine several complex climate models to create a super climate model and produce a climate change simulation. The work is part of the EU SUMO project (FP7), which brings together experts from non-linear dynamics, machine-learning and climate science. The super-modelling concept has the potential to provide improved estimates of global and regional climate change, so as to motivate and inform policy decisions. | ||
| Present on: norstore_trd | ||