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External Data Spec

Input data for RAINS model - livestock projections for other countries from FAO

External Data Spec Published 05 Jul 2010
information.png Provider:
Food and Agriculture Organization of the United Nations (FAO)
information.png Dataset path:

The data sets are stored in RAINS database. http://www.iiasa.ac.at/rains/Rains-online.html?sb=8

Related content

Used in indicators

Indicator Specification
Archived
APE_F01: Emissions of acidifying substances - outlook from LRTAP Definition: Emissions of acidifying pollutants tracks trends in anthropogenic emissions of acidifying substances such as nitrogen oxides, ammonia, and sulphur dioxide, each weighted by their acidifying potential. Outlook form EMEP LRTAP provides information for nitrogen oxides, sulphur dioxide and ammonia. It is presented in total volumes of pollutants from all sources by sectors: power plants, process industry, domestic, road transport, off-road, and other. Model used: GAINS/RAINS, EMEP Ownership:  UNECE Convention on Long-range Transboundary Air Pollution (LRTAP) Temporal coverage: Emissions' trends: 2000-2007, projections: 2010, 2020 Geographical coverage: EU-27: Austria, Belgium, Bulgaria, Denmark, Finland, France, Germany, Greece, Ireland, Italy, Luxembourg, Netherlands, Portugal, Spain, Sweden, United Kingdom, Cyprus, Czech Republic, Estonia, Hungary, Latvia, Lithuania, Malta, Poland, Romania, Slovakia, Slovenia; By country: Albania, Armenia, Austria, Azerbaijan, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Georgia, Germany, Greece, Hungary, Iceland, Ireland, Italy, Kazakhstan, Latvia, Lithuania, Luxembourg, Netherlands, Norway, Poland, Portugal, Republic of Moldova, Romania, Russian Federation, Serbia and Montenegro, Slovakia, Slovenia, Spain, Sweden, Switzerland, the former Yugoslav Republic of Macedonia, Turkey, Ukraine, United Kingdom.

Permalinks

For references, please go to https://www.eea.europa.eu/data-and-maps/data/external/input-data-for-rains-model-16 or scan the QR code.

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