Greenhouse gas observation network design for Africa

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Greenhouse gas observation network design for Africa

Nickless, Alecia (author): University of Bristol

Scholes, Robert J. (author): University of the Witwatersrand

Vermeulen, Alex (author): Lund University,Lunds universitet,ICOS Sweden,Centrum för miljö- och klimatvetenskap (CEC),Naturvetenskapliga fakulteten,Centre for Environmental and Climate Science (CEC),Faculty of Science

Beck, Johannes (author): The Southern African Science Service Centre for Climate Change and Adaptive Land Management (SASSCAL)

López-Ballesteros, Ana (author): Trinity College Dublin

Ardö, Jonas (author): Lund University,Lunds universitet,Institutionen för naturgeografi och ekosystemvetenskap,Naturvetenskapliga fakulteten,Dept of Physical Geography and Ecosystem Science,Faculty of Science

Karstens, Ute (author): Lund University,Lunds universitet,ICOS Sweden,Centrum för miljö- och klimatvetenskap (CEC),Naturvetenskapliga fakulteten,Centre for Environmental and Climate Science (CEC),Faculty of Science

Rigby, Matthew (author): University of Bristol

Kasurinen, Ville (author): University of Helsinki

Pantazatou, Karolina (author): Lund University,Lunds universitet,ICOS Sweden,Centrum för miljö- och klimatvetenskap (CEC),Naturvetenskapliga fakulteten,Centre for Environmental and Climate Science (CEC),Faculty of Science

Jorch, Veronika (author): Thünen Institute of Climate-Smart Agriculture

Kutsch, Werner (author): Integrated Carbon Observation System (ICOS)

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(creator_code:org_t)

2020-01-01
2020
English 30 s.
In: Tellus. Series B: Chemical and Physical Meteorology. - : Stockholm University Press. - 1600-0889 .- 0280-6509. ; 72:1, s. 1-30

Related links:: http://dx.doi.org/10... (free); show more...; https://www.tandfonl...; https://lup.lub.lu.s...; https://doi.org/10.1...; show less...

Journal article (peer-reviewed)

Abstract Subject headings

An optimal network design was carried out to prioritise the installation or refurbishment of greenhouse gas (GHG) monitoring stations around Africa. The network was optimised to reduce the uncertainty in emissions across three of the most important GHGs: CO2, CH4, and N2O. Optimal networks were derived using incremental optimisation of the percentage uncertainty reduction achieved by a Gaussian Bayesian atmospheric inversion. The solution for CO2 was driven by seasonality in net primary productivity. The solution for N2O was driven by activity in a small number of soil flux hotspots. The optimal solution for CH4 was consistent over different seasons. All solutions for CO2 and N2O placed sites in central Africa at places such as Kisangani, Kinshasa and Bunia (Democratic Republic of Congo), Dundo and Lubango (Angola), Zoétélé (Cameroon), Am Timan (Chad), and En Nahud (Sudan). Many of these sites appeared in the CH4 solutions, but with a few sites in southern Africa as well, such as Amersfoort (South Africa). The multi-species optimal network design solutions tended to have sites more evenly spread-out, but concentrated the placement of new tall-tower stations in Africa between 10ºN and 25ºS. The uncertainty reduction achieved by the multi-species network of twelve stations reached 47.8% for CO2, 34.3% for CH4, and 32.5% for N2O. The gains in uncertainty reduction diminished as stations were added to the solution, with an expected maximum of less than 60%. A reduction in the absolute uncertainty in African GHG emissions requires these additional measurement stations, as well as additional constraint from an integrated GHG observatory and a reduction in uncertainty in the prior biogenic fluxes in tropical Africa.

Subject headings

NATURVETENSKAP -- Geovetenskap och miljövetenskap -- Klimatforskning (hsv//swe)
NATURAL SCIENCES -- Earth and Related Environmental Sciences -- Climate Research (hsv//eng)
NATURVETENSKAP -- Geovetenskap och miljövetenskap -- Meteorologi och atmosfärforskning (hsv//swe)
NATURAL SCIENCES -- Earth and Related Environmental Sciences -- Meteorology and Atmospheric Sciences (hsv//eng)

Keyword

Greenhouse Gases
observation network design
Bayesian inversion
Lagrangian particle dispersion model

Publication and Content Type

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By the author/editor: Nickless, Alecia; Scholes, Robert ...; Vermeulen, Alex; Beck, Johannes; López-Ballestero ...; Ardö, Jonas; show more...; Karstens, Ute; Rigby, Matthew; Kasurinen, Ville; Pantazatou, Karo ...; Jorch, Veronika; Kutsch, Werner; show less...

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NATURAL SCIENCES: NATURAL SCIENCES; and Earth and Relate ...; and Climate Research

NATURAL SCIENCES: NATURAL SCIENCES; and Earth and Relate ...; and Meteorology and ...

Articles in the publication: Tellus. Series B ...

By the university: Lund University

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