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The need for country masks for future national greenhouse gas flux estimations

Harrie, Lars (author)
Lund University,Lunds universitet,Centrum för geografiska informationssystem (GIS-centrum),Institutionen för naturgeografi och ekosystemvetenskap,Naturvetenskapliga fakulteten,Centre for Geographical Information Systems (GIS Centre),Dept of Physical Geography and Ecosystem Science,Faculty of Science
Karstens, Ute (author)
Lund University,Lunds universitet,Institutionen för naturgeografi och ekosystemvetenskap,Naturvetenskapliga fakulteten,Dept of Physical Geography and Ecosystem Science,Faculty of Science
Huang, Huiting (author)
Lund University
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Mansourian, Ali (editor)
Pilesjö, Petter (editor)
Harrie, Lars (editor)
van Lammeren, Ron (editor)
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 (creator_code:org_t)
2018
2018
English 4 s.
In: Geospatial Technologies for All : short papers, posters and poster abstracts of the 21th AGILE Conference on Geographic Information Science. Lund University 12-15 June 2018, Lund, Sweden - short papers, posters and poster abstracts of the 21th AGILE Conference on Geographic Information Science. Lund University 12-15 June 2018, Lund, Sweden. - 9783319782089
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • The Paris Agreement requests a substantial reduction of greenhouse gas (GHG) emissions. These emissions are currently mainly estimated from bottom-up inventories and process-based models of land and ocean fluxes. Another, complementary approach is based on measurements of the atmospheric GHG concentration in combination with atmospheric inverse modelling to provide the GHG fluxes. For the latter approach the GIScience community should contribute with providing an appropriate country mask to enable estimations of national budgets. This paper aims at describing the requirement of such a country mask as well as report on technical solutions for preliminary tests we made on national GHG flux estimations.

Subject headings

NATURVETENSKAP  -- Geovetenskap och miljövetenskap -- Naturgeografi (hsv//swe)
NATURAL SCIENCES  -- Earth and Related Environmental Sciences -- Physical Geography (hsv//eng)

Keyword

greenhouse gas estimation
Inverse modelling
geodata
spatial interpolation
country mask

Publication and Content Type

kon (subject category)
ref (subject category)

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