The full list of projects contains the entire database hosted on this portal, across the available directories. The projects and activities (across all directories/catalogs) are also available by country of origin, by geographical region, or by directory.
The aim of QUILT is to optimise the exploitation of the existing European UV-visible monitoring systems by which O3 and the related free radicals NO2, BrO and OClO can be measured. These monitoring systems include ground-based, balloon and satellite observations. QUILT is providing an assessment of the chemical ozone loss over the last decade and through 2000-2003. This is achieved through analysis improvements, consolidation of existing datasets and near real time integrations with chemical transport models.
The overall objective of COSE is to provide the Earth Observation (EO) user community with a validated, consistent and well-documented data set of mainly stratospheric constituent columns and/or profiles, by co-ordination of ground-based observations at existing stations in Europe. The data set builds on past and ongoing time series, and will be archived in a dedicated database for immediate and future exploitation, e.g., satellite validation activities, data assimilation and scientific studies. Active participation of some representative EO customers will assure that the delivered data sets come up to their requirements.
The main specific objectives of UFTIR are: (1) To revise and homogenise the analyses of available experimental data for providing consistent time series of distinct tropospheric and stratospheric abundances of the target gases using new inversion algorithms. A common strategy for retrieval and characterisation of the vertical distributions of the target gases from FTIR ground-based measurements will be established. (2) To provide quantitative trends and associated uncertainties for the target gases over about the last decade, as a function of latitude throughout Western Europe, focusing on the troposphere. (3) To integrate the data in model assessments of the evolutions of tropospheric abundances. The measured burden and changes of the tropospheric gases will be compared with 3D model simulations, in order to help developing the latter, assist in explaining potential causes for the observed changes and to assess the consistencies between the trends at the surface to the free troposphere and lowermost stratosphere, and the agreement with known evolutions of emissions. UFTIR will make the community prepared to deliver tropospheric data for validation and synergistic exploitation of new satellite experiments like ENVISAT.
The effects of climate change in a dynamic competitive interaction between two or more species can be bought about either as direct responses of species to change or indirectly through effects on competing species. Intertidal barnacles are ideal model organisms to test these alternative causal mechanisms, being easily censussed and directly competing for space. Single- and multi- species models will be developed for barnacles in SW England to determine whether direct or indirect mechanisms better predict responses to change. The models will include functions for space-limitation, environmental influence and, in the latter models, functions for interspecific competition. Historical data from a network of sites collected over a 40-year period will be used to develop and test the models.
Although the most visible effect of fish cage aquaculture is the output of particulate organic waste, 80% of the total nutrient losses from fish farming are plant-available as potentially eutrophicating substances. This project will assess the ability of commercially important seaweeds, cultivated in the immediate vicinity of caged fish, to reduce the impact of such nutrient releases. The algae cultivated in high nutrient sites will be tested as a food source for humans and for cultivated shellfish, and a model of the distribution of dissolved contaminants from sea-cage fish farms will be developed to predict the impact of introducing algal cultivation at any site.
Objective: to collect climatology information on the seasonal and year-to-tear variability of stratospheric CFCs, water vapour and atmospheric electrical parameters.
Radioactivity in the Arctic environment is a central topic within environmental pollution issues. Increased discharges of technetium-99 (99Tc) from the nuclear fuel reprocessing plant Sellafield to the Irish Sea has caused public concerns in Norway. This project (acronym “RADNOR”) includes model and monitoring assessments and improvements, assessment of current and novel abiotic and biotic dose parameters and dose calculations and use of realistic climatic background scenarios in order to assess corresponding consequences for transport of radioactive pollutants. RADNOR consists of three main components: part 1, the determination of levels and time series of 99Tc in benthic and pelagic food webs; part 2, containing working packages on improvements to the understanding of site-specific and time-dependent sediment-water interactions (KD), kinetics of accumulation (CF) and body distribution in marine organisms, including contaminated products for the alginate industry and part 3, dealing with model hindcasts and observations for spreading of 99Tc from the Sellafield nuclear reprocessing plant during the 1990s and improvement of the NRPA dose assessment box model. From the model outputs, doses to man and environment will be calculated resulting in a valuable database for use within environmental management and for decision makers.
Changes in surface reflection at the arctic tundra at Ny-Ålesund, Svalbard (79 N) were monitored during the melting season 2002 using a low cost multispectral digital camera with spectral channels similar to channels 2, 3, and 4 of the Landsat Thematic Mapper satellite sensor. The camera was placed 474 m above sea level at the Zeppelin Mountain Research Station and was programmed to take an image automatically every day at solar noon. To achieve areal consistency in the images (which is necessary for mapping purposes) the images were geometrically rectified into multispectral digital orthophotos. In contrast to satellite images with high spatial resolution the orthophotos provide data with high spatial and high temporal resolution at low cost. The study area covers approximately 2 km2 and when free of snow, it mainly consists of typical high arctic tundra with patchy vegetation and bare soil in between. The spectral information in the images was used to divide the rectified images into maps representing different surface classes (including three subclasses of snow). By combining classified image data and ground measurements of surface reflectance, a model to produce daily maps of surface albedo was developed. The model takes into account that snow-albedo decreases as the snow pack ages; and that the albedo decreases very rapidly when the snow pack is shallow enough (20-30 cm) to let surface reflectance get influenced by the underlying ground. Maps representing days with no image data (due to bad weather conditions) were derived using interpolation between pixels with equal geographical coordinates. The time series of modeled albedo-maps shows that the time it takes for the albedo to get from 80% to bare ground levels varies from less than 10 days in areas near the coast or in the Ny-Ålesund settlement till more than 70 days in areas with large snow accumulations. For the entire study area the mean length of the 2002 melting period was 28.3 days with a standard deviation of 15.1 days. Finally, the duration of the snowmelt season at a location where it is measured routinely, was calculated to 23 days, which is very close to what is the average for the last two decades.
1. To compare temporal influences of environmental variables (e.g. depth temperature, contaiminats) on species and families 2. To corroborate inferences made from the previous two datasets. We hope to determine whether temperature is still the most important variable influencing the macrofauna 3. To analyse between temporal and spatial trends to determine whether there has been any significant change in the benthic community structure, especially at stations near past exploration activity 4. To compare results with those from the South of the Faroe Islands being collated by Daniel Jacobsen of the University of Copenhagen.
1. To generate high-resolution quantitative palaeoceanographic/palaeoclimatic data from NE Atlantic coastal/shelf sites for the last 2000 years using a multidisciplinary approach 2. To develop novel palaeoclimatic tools for shallow marine settings by (i) calibrating the proxy data against instrumental datasets, (ii) contributing to transfer function development, and (iii) then to extrapolate back beyond the timescale of the instrumental data using the palaeoclimate record 3. To investigate the link between late Holocene climate variability detected in the shelf/coastal regions of western Europe and the variability of the oceanic heat flux associated with the North Atlantic thermohaline circulation, and to compare such variability with existing high-resolution terrestrial proxies to help determine forcing mechanisms behind such climate change 4. To lay a foundation for the identification of hazards and resources linked with, or forced by, such climate change.
1. To use a combination of archival and contemporary data to develop and test hypotheses on the impact of climatic change on rocky intertidal animals and plants. 2. Forecast future community changes based on Met. Office Hadley centre models and UKCIP models. 3. Establish a low-cost fit-for-purpose network to enable regular updates of climatic impact projections. 4. Assess and report likely consequences of predicted changes on coastal ecosystems. To provide general contextual time-series data to support marine management and monitoring. 5. Evaluate use of intertidal indicator species as sustainability indices. Disseminate the results as widely as possible. 6. Provide a basis for the development of a pan-European monitoring network.
1. Observations of the physics of vertical and open boundary exchange in Regions of Restricted Exchanges (REEs), leading to improved parameterisation of these processes in research and simplified models. 2. Study of the phytoplankton and pelagic micro-heterotrophs responsible for production and decomposition of organic material, and of sedimentation, benthic processes and benthic-pelagic coupling, in RREs, with the results expressed as basin-scale parameters. 3. Construction of closed budgets and coupled physical-biological research models for nutrient (especially nitrogen) and organic carbon cycling in RREs, allowing tests of hypotheses about biogeochemistry, water quality and the balance of organisms. 4. Construction of simplified 'screening' models for the definition, assessment and prediction of eutrophication, involving collaboration with 'end-users', and the use of these models to analyse the costs and benefits of amelioration scenarios.
1. The improvement of the scientific basis for the management of fisheries taking elasmobranch species by: a)Species Identification /biological sampling b)Stock discrimination / separation c)Data compliation and exchange d)Data preparation, stock assessment & species vulnerability
The project aims to develop Molecular Imprinted Polymer (MIP)sensors into practical tools for the monitoring of a number of pollutants listed in the EU Water Framework Directive. (Further details in commercial confidence)
1. To develop a deep water observation system 2. Detailed design document, workplan and risk register and reviewed and agreed by steering group, procurement of components. 3. Deep water tests of acoustic communications system performed. pilot data dissemination and archival system. Dry test DWOS -1 4. Deployment in near lab test environment eg. Dunstaffnage bay with regular inspections. Collect, analyse, disseminate and archive sensor and house keeping data 5. Deploy in exposed but coastal stratified site in western Irish Sea, with two visual inspections. Collect, analyse, disseminate and archive sensor and house keeping data. Liaison with Met Office regarding deployment logistics. 6. Six months Deployment at Deep Water site; Collect, analyse, disseminate and archive sensor and house keeping data; Distribute data to customers. Revisit mooring site after six months recover and redeploy. 7. Final Technical Report and Final Project Report: Second six months Deployment at Deep Water site (as decreed by steering group); Collect, analyse, disseminate and archive sensor and house keeping data. Analysis of complete data handling chain performed; impact of data on customer base assessed, recommendations for continuance of DWOS as an operational system.
The project primary goal is to relate among-year variation of tundra wader numbers and nesting success to breeding conditions on southeastern Taimyr.
The German Aerospace Center (DLR) Bi-spectral Infrared Detection (BIRD) small satellite is a technology demonstrator of new infrared push-broom sensors dedicated to recognition and quantitative characterisation of thermal processes on the Earth surface. BIRD was successfully piggy-back launched on October 22, 2001 with an Indian Polar Satellite Launch Vehicle (PSLV-C3) into a circular sun-synchronous orbit with an altitude of 572 km and a North - South local equator crossing time at 10:30 h. Besides cameras working in the visible and near infrared spectral range there are two cameras working in the middle infrared (MIR, 3.4 – 4.2 µm) and in the thermal spectral range (TIR, 8.5 – 9.3 µm) respectively. The objective is to validate these two cameras in cooperation with the Koldewey-Station in Ny-Ålesund. Therefore meteorological and aerological data as well as radiation measuring data will be used.
The subject is to determine the horizontal distribution of aerosol and trace gases by airborne measurements with the Gulfstream III (transarctic flight), ground based measurements in Ny Ålesund (Koldewey Station, Rabben) and satellite measurements with SAGE II / SAGE III. Objective is to get vertical and horizontal aerosol profiles, to research the trace gase variations in the Arctic and to compare remote sensing und in situ measurements.
By launching several hundred ozonesondes and by ozone lidar measurements at many Arctic and sub-Arctic stations, one of them Ny-Ålesund, the stratospheric chemical ozone loss will be determined. The launches of all stations will be coordinated by analysis of trajectory calculations based on analysis and forecast wind fields. The aim is to get as many ozone sounding pairs as possible, each of them linked by trajectories in space and time. A statistical description of the ozone differencies given by the first and the second measurement of individual sonde pairs will yield the chemical ozone loss with spatial and time resolution. Four similar campaigns took place in the Arctic and in the mid-latitudes covering the time period of Januar to March in each of the last four winters. In the first three winters high ozone depletion rates (20 - 50 ppbv per day) were determined in some height levels within the polar vortex. In the height level of the ozone maximum an integrated ozone loss (during the winter) in the order of 60 % have been found. These are record ozone losses for the Arctic polar region. In the last winter the ozone depletion rates had been much lower due to moderate temperatures in the stratosphere.
The active layer, the annually freezing and thawing upper ground in permafrost areas, is of pivotal importance. The moisture and heat transfer characteristics of this layer also determine the boundary layer interactions of the underlying permafrost and the atmosphere and are therefore important parameters input for geothermal or climate modeling. Finally, changes in the characteristics of the permafrost and permafrost related processes may be used as indicators of global ecological change provided the system permafrost-active layer-atmosphere is understood sufficiently well. The dynamics of permafrost soils is measured with high accuracy and high temporal resolution at our two sites close to Ny-Ålesund, Svalbard. Using these continuous data we quantify energy balance components and deduce heat transfer processes such as conductive heat flux, generation of heat from phase transitions, and migration of water vapor.