This page should provide Parties with the information about available data and tools which can be useful for the national and regional assessments. This page will be updated, as soon as new data or tools are available, based on new developments and advices from the Parties. All comments and suggestions from the Parties, concerning new data and tools, which should be included in this page are appreciated.
After selecting the country the following information is available: 1). Bar charts for national total emissions, tables for sector split for the period 1980 - 1999 and projection for 2010, emission maps for 1999 (for sulphur, nitrogen oxide, ammonia, non-methane volatile organic compounds, methane, carbon monoxide and carbon dioxide) 2) Deposition maps for 1999 and bar charts showing import/export trends 1985 - 1998. 3) List of EMEP stations for the selected country, link to station descriptions and table with the overview of data uncertainty for precipitation and air quality of measurements, 4) Time series for 1985-98 showing trends in depositions and emissions for sulphur and nitrogen, and area of exceedance of critical loads. Contact person for all questions regarding this topic is Anna Benedictow (anna.benedictow@met.no ).
The following information is available: 1). Maps of EMEP measurement network in 1999 for acidification/eutrophication and ozone, 2) Site descriptions, 3) List of participating institutions, 4) List of heavy metal and POP sites, 5) List of VOC sites, 6) Complete list of EMEP stations. Contact persons for all questions regarding this topic can be found at: http://www.nilu.no/projects/ccc/about.html.
The following information is available for EMEP compounds except heavy metals and POPs: 1) Time series of daily measurement values and monthly and annual means, except heavy metals POP and VOC. This is a simple ascii format with one file for each station, and all the different components in air and precipitation in columns. Flags are included for daily values. 2) Daily model values from 1988-1996 in a similar format. 3) Time series of monthly and annual means. One ascii file for each component, and stations in columns. 4) Time series of hourly ozone data from 1990-1999. Simple ascii format with colums for date, hour and measured values. One file for each station and year. 5) Annual statistics. Simple ascii files with statistics for each station as in the annual data reports on acidification/eutrophication. 6) Yearly files with raw data for all station and components. 7) Time series of VOC are available upon request. Ascii format for daily measurements, ISO 7168 for hourly ozone data. Questions about the data can be addressed to Anne Hjellbrekke (anne-gunn.hjellbrekke@nilu.no).
UNECE/EMEP emission database - WebDab is the first release of UNECE/EMEP emission database, open for interactive use via Internet. The purpose of this web database (WebDab) is to facilitate the access to the emission data reported to the Convention on Long-Range Transboundary Air Pollution (CLRTAP) on Main Pollutants, Heavy Metals and Persistent Organic Pollutants. The contents of the WebDab will be updated once a year, typically by early summer.
There are two types of emission data in UNECE/EMEP (United Nations Economic Commission for Europe/Co-operative programme for monitoring and evaluation of long range transmission of air pollutants in Europe) database: officially reported emission data and expert estimates of emissions.
This first release of WebDab contains the most recent emission data officially submitted to the UNECE by the Parties to the CLRTAP Convention for the years 1980 to 1999 corresponds. These official submissions correspond to those documented in EB.AIR/GE.1/2001/7. Official emission data for year 2000 submitted before the end of April 2002 are also included here.
Expert estimates used by the Meteorological Synthesizing Centre - West (MSC-W) of EMEP are also available. Expert estimates are generally made in order to fill in gaps in the reported time series. Other expert estimates included in this database are the 1995 Particulate Matter emissions derived by CEPMEIP (Co-ordinated European Programme on Particulate Matter Emission Inventories, Projections and Guidance). All gridded data have been scaled by MSC-W, and are therefore regarded as expert estimates, even though they are based on reported data whenever available.
Up to 2002, there was an obligation to report emission data for the greenhouse gases Methane (CH4) and Carbon dioxide (CO2) under the CLRTAP. This obligation was removed in the process of harmonization the emission reporting with other international bodies requirin emission data, and the user is referred to the IPCC web database with respect to greenhouse gas emissions.
Contact person for all questions regarding this tool is Vigdis Vestreng (vigdis.vestreng@met.no).
Source-receptor (S-R) relationships give the change in ozone in each receptor country (or grid square) resulting from a change in emissions of either NOx or VOC from each emitter country. They are generated for each country by reducing either NOx or NMVOC emissions (anthropogenic) by a given percentage from that country, re-running the oxidant model, and comparing the resulting fields of ozone or AOTs with the base-case fields. Contact persons: jan.eiof.jonson@met.no and david.simpson@ivl.se.
The following information for lead, cadmium and mercury is available on this page: 1) Emissions (natural, anthropogenic, re-emission, spatial distribution, height distribution, temporal variability), 2) Measurements, 3) Model results (concentration and deposition fields, source-receptor relationships, trend analysis), 5) Model verification (comparison of model results with measurements, emission fit to measurements).
The following information for selected POPs is available on this page: 1) Emissions (expert estimates, official, spatial distribution), 2) Measurements, 3) Model results (concentration and deposition fields for 1998, distribution of POPs in environmental compartments by 1998, long-term trends for the period 1970 - 1998), 5) Model verification (comparison of model results with measurements, sensitivity study).
Calculated 96h trajectories, daily sector values and trajectory crossings are available from this site for all EMEP stations. The 2D trajectories have been calculated with a horizontal resolution of 150x150 km2 in the old EMEP grid. The calculations are made for the period from 1985 to 1996. If a station was not operative for a certain year, then no trajectory data has been calculated for that year. The 2D trajectories calculations are based on meteorological data from the NWP (Numerical Weather Predicition) model, LAM150, developed at the Norwegian Meteorological Institute. Modelled wind fields at 925hPa have been used for the calculations as well as precipitation fields. Assimilated precipitation fields based on actual observations have been used in the calculations. An exception was made for March to August 1986 where precipitation fields from the NWP were used in lack of observed values. Contact person for all questions regarding this topic is Anna Benedictow (anna.benedictow@met.no ).
This EXCEL template was developed at the Finnish Meteorological Institute, in the frame of Nordic-Baltic project for calculating time, series, average values and trends of measured concentrations in each of the trajectory sectors: Backward 96-hours trajectories for all EMEP stations and for the period 1985 -1996 are used to determine a sector for each measured value. You can download a zip file with the template. Contact person for all questions regarding this tool is Pia Anttila (pia.anttila@fmi.fi).
This EXCEL template was developed at the Finnish Meteorological Institute, in the frame of Nordic-Baltic project for detecting and estimating trend in time series of annual values of atmospheric chemistry. The used statistical methods are the nonparametric Mann-Kendall test for testing the presence of the monotonic increasing or decreasing trend and the nonparametric Sen's method for estimating the slope of a linear trend. The Mann-Kendall test requires at least 4 values and calculation of the confidence intervals for the Sen's slope estimate requires at least 10 values in a time series. Contact person for all questions regarding this tool is Pia Anttila (pia.anttila@fmi.fi).