Europe: projects/activities

Studying the population biology and monitoring the population status of Dunlin. The population under study ilives in a coatal tundra area in Northern Norway.

Mapping and monitoring of the snow cover with use of satellitte born optical instruments for (1) direct use of observations of climate change and (2) use of observations in climate modelling. Measurements of the snows spectral reflectance and other physical properties.

The present project aims at the geophysical validation, from pole to pole and on the long term, of key ozone-related level-2 products (O3, NO2, BrO, OClO, and ClO) from GOMOS, MIPAS and SCIAMACHY onboard ENVISAT-1, and at a contribution to the maturation of the related level-1b-to-2 data processors. Application data processing will be used to convert level-2 data into a more suitable format for validation and scientific end-users. The respective performances of the ENVISAT data products, and their sensitivity to various relevant parameters, will be investigated from the Arctic to the Antarctic, over a variety of geophysical conditions. The impact of these performances on specific atmospheric chemistry studies will be emphasised. The pseudo-global investigations will rely on correlative studies of ENVISAT data with high-quality ground-based, in situ and balloon observations associated with the Network for the Detection of Stratospheric Change (NDSC).

The project will provide a long-term, pseudo-global validation support to the ENVISAT-1 atmospheric measurements, based on mutually consistent high-quality solar and lunar observations from FTIR spectrometers operated at primary and a number of complementary NDSC stations. The validation is limited to a number of target species, most of which are primary NRT or OL level-2 products of the mission, with focus on NOy components: O3, NO2, NO, N2O, HNO3, HNO4, H2CO, CO and CH4. Synergistic use will be made of column and profile data from MIPAS, GOMOS and SCIAMACHY. The ground network will deliver mean vertical column abundances for all target species with NDSC-type quality, and height profile information for some target gases as secondary products to the PI's home institute, where the correlative analyses with the ENVISAT-1 products will be done. Asynoptic mapping tools will support the validation efforts.

The main objectives of ESAC II are the following: (1) Extend and improve the important existing Belgian contribution in atmospheric research started in the 50s, recognized internationally. (2) Investigate the chemistry of the atmosphere, to detect and understand its evolution, mainly with experimental means. Special attention will be paid to the evolution of the ozone layer and chemical species and processes with an impact on climate changes. (3) Support the Belgian policies and decisions regarding the Amendments to: - the Montreal Protocol on Substances that deplete the Ozone Layer; - the Kyoto Protocol on Greenhouse Gases (GHG) emissions.

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.

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. Establish a network to measure environmental change in marine waters by undertaking long-term research and monitoring 2. Maintain and enhance existing long-term research programmes 3. Restart important discontinued long-term research programmes 4. Develop a quality controlled database of long-term marine data series 5. Deliver and interpret long-term and broad scale contextual information to inform water quality monitoring 6. Demonstrate the benefits of preserving and networking long-term time series programmes

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.