Greenhouse gas observation network design for Africa

Alecia Nickless; Robert J. Scholes; Alex Vermeulen; Johannes Beck; Ana López-Ballesteros; Jonas Ardö; Ute Karstens; Matthew Rigby; Ville Kasurinen; Karolina Pantazatou; Veronika Jorch; Werner Kutsch

doi:10.1080/16000889.2020.1824486

Greenhouse gas observation network design for Africa

Tellus B: Chemical and Physical Meteorology

Volume 72 (2020): Issue 1

By: Alecia Nickless, Robert J. Scholes, Alex Vermeulen, Johannes Beck, Ana López-Ballesteros, Jonas Ardö, Ute Karstens, Matthew Rigby, Ville Kasurinen, Karolina Pantazatou, Veronika Jorch and Werner Kutsch

Open Access

|Jan 2020

Abdi, A. M. , Vrieling, A. , Yengoh, G. T. , Anyamba, A. , Seaquist, J. W. and co-authors. 2016. The El Niño - La Niña cycle and recent trends in supple and demand of net primary productivity in African drylands. Clim. Change 138 , 111–125. doi:10.1007/s10584-016-1730-1
Open DOI Search in Google Scholar Back to article
Aubinet, M. 2000. Estimates of the annual net carbon and water exchange of forests: the EUROFLUX methodology. Adv. Ecol. Res. 30 , 113–175.
Search in Google Scholar Back to article
Baker, D. F. , Law, R. M. , Gurney, K. R. , Rayner, P. , Peylin, P. and co-authors . 2006. TransCom 3 inversion intercomparison: impact of transport model errors on the interannual variability of regional CO₂ fluxes, 1988. Global Biogeochem. Cy. 20 , 2003.
Search in Google Scholar Back to article
Beck, J. , López-Ballesteros, A. , Hugo, W. , Scholes, R. , Saunders, M. and co-authors. 2019. Development of a climate forcing observation system for Africa: data-related considerations. Codata. 18 , 42. doi:10.5334/dsj-2019-042
Open DOI Search in Google Scholar Back to article
Bergamaschi, P. , Corazza, M. , Karstens, U. , Athanassiadou, M. , Thompson, R. L. and co-authors. 2015. Top-down estimates of European CH4 and N2O emissions based on four different inverse models. Atmos. Chem. Phys. 15 , 715–736. doi:10.5194/acp-15-715-2015
Open DOI Search in Google Scholar Back to article
Bloom, A. A. , Bowman, K. W. , Lee, M. , Turner, A. J. , Schroeder, R. and co-authors. 2017. A global wetland methane emissions and uncertainty dataset for atmospheric chemical transport models (WetCHARTs version 1.0). Geosci. Model Dev. 10 , 2141–2156. doi:10.5194/gmd-10-2141-2017
Open DOI Search in Google Scholar Back to article
Bloom, A. A. , Palmer, P. I. , Fraser, A. and Reay, D. S. 2012. Seasonal variability of tropical wetland CH4 emissions: the role of the methanogen-available carbon pool. Biogeosciences 9 , 2821–2830. doi:10.5194/bg-9-2821-2012
Open DOI Search in Google Scholar Back to article
Boden, T. A. , Marland, G. and Andres, R. J. 2017. Global, regional, and national fossil – fuel CO₂ emissions, Carbon Dioxide Information Analysis Center (CDIAC). Oak Ridge National Laboratory, US Department of Energy, Oak Ridge, TN, USA. Online at: http://cdiac.essdive.lbl.gov/trends/emis/methreg.html V2017.
Search in Google Scholar Back to article
Borges, A. V. , Darchambeau, F. , Teodoru, C. R. , Marwick, T. R. , Tamooh, F. and co-authors. 2015. Globally significant greenhouse-gas emissions from African inland waters. Nat. Geosci. 8 , 637–642. doi:10.1038/ngeo2486
Open DOI Search in Google Scholar Back to article
Bousquet, P. , Ciais, P. , Peylin, P. , Ramonet, M. and Monfray, P. 1999. Inverse modeling of annual atmospheric CO₂ sources and sinks: 1. Method and control inversion. J. Geophys. Res. 104 , 26161–26178. doi:10.1029/1999JD900342
Open DOI Search in Google Scholar Back to article
Broquet, G. , Chevallier, F. , Bréon, F.-M. , Kadygrov, N. , Alemanno, M. and co-authors. 2013. Regional inversion of CO2 ecosystem fluxes from atmospheric measurements: reliability of the uncertainty estimates. Atmos. Chem. Phys. 13 , 9039–9056. doi:10.5194/acp-13-9039-2013
Open DOI Search in Google Scholar Back to article
Carpenter, L. J. , Fleming, Z. L. , Read, K. A. , Lee, J. D. , Moller, S. J. and co-authors. 2010. Seasonal characteristics of tropical marine boundary layer air measured at the Cape Verde atmospheric observatory. J. Atmos. Chem. 67 , 87–140. doi:10.1007/s10874-011-9206-1
Open DOI Search in Google Scholar Back to article
Cerutti, P. O. , Sola, P. , Chenevoy, A. , Iiyama, M. , Yila, J. and co-authors . 2015. The socioeconomic and environmental impacts of wood energy value chains in Sub-Saharan Africa: a systematic map protocol. Environ. Evid. 4 , 12. doi:10.1186/s13750-015-0038-3
Open DOI Search in Google Scholar Back to article
Chevallier, F. , Ciais, P. , Conway, T. J. , Aalto, T. , Anderson, B. E. and co-authors. 2010. CO₂ surface fluxes at grid point scale estimated from a global 21 year reanalysis of atmospheric measurements. J. Geophys. Res. 115 , D21307. doi:10.1029/2010JD013887
Open DOI Search in Google Scholar Back to article
Chevallier, F. , Palmer, P. I. , Feng, L. , Boesch, H. , O'Dell, C. W. and co-authors. 2014. Toward robust and consistent regional CO₂ flux estimates from in situ and spaceborne measurements of atmospheric CO₂ . Geophys. Res. Lett. 41 , 1065–1070. doi:10.1002/2013GL058772
Open DOI Search in Google Scholar Back to article
Ciais, P. , Rayner, P. , Chevallier, F. , Bousquet, P. , Logan, M. and co-authors. 2010. Atmospheric inversions for estimating CO₂ fluxes: methods and perspectives. Clim. Change 103 , 69–92. doi:10.1007/s10584-010-9909-3
Open DOI Search in Google Scholar Back to article
Enting, I. G. 2002. Inverse Problems in Atmospheric Constituent Transport . Cambridge University Press, New York.
Search in Google Scholar Back to article
Enting, I. G. and Mansbridge, J. V. 1989. Seasonal sources and sinks of atmospheric CO₂: direct inversion of filtered data. Tellus B 41 , 111–126. doi:10.3402/tellusb.v41i2.15056
Open DOI Search in Google Scholar Back to article
Etminan, M. , Myhre, G. , Highwood, E. J. and Shine, K. P. 2016. Radiative forcing of carbon dioxide, methane, and nitrous oxide: a significant revision of the methan radiative forcing. Geophys. Res. Lett. 43 , 12614–12623. doi:10.1002/2016GL071930
Open DOI Search in Google Scholar Back to article
Exbrayat, J.-F. , Pitman, A. J. , Abramowitz, G. and Wang, Y.-P. 2013. Sensitivity of net ecosystem exchange and heterotrophic respiration to parameterization uncertainty. J. Geophys. Res. Atmos. 118 , 1640–1651. doi:10.1029/2012JD018122
Open DOI Search in Google Scholar Back to article
Fung, I. , John, J. , Lerner, J. , Matthews, E. , Prather, M. and co-authors. 1991. Three-dimensional model synthesis of the global methane cycle. J. Geophys. Res. 96 , 13033–13065. doi:10.1029/91JD01247
Open DOI Search in Google Scholar Back to article
Ganesan, A. L. , Manning, A. J. , Grant, A. , Young, D. , Oram, D. E. and co-authors. 2015. Quantifying methane and nitrous oxide emissions from the UK and Ireland using a national-scale monitoring network. Atmos. Chem. Phys. 15 , 6393–6406. doi:10.5194/acp-15-6393-2015
Open DOI Search in Google Scholar Back to article
Gaudry, A. , Monfray, P. , Polian, G. , Bonsang, G. , Ardouin, B. and co-authors. 1991. Non-seasonal variations of atmospheric CO₂ concentrations at Amsterdam Island. Tellus B 43 , 136–143. doi:10.3402/tellusb.v43i2.15258
Open DOI Search in Google Scholar Back to article
Gomez-Pelaez, A. J. , Ramos, R. , Cuevas, E. , Gomez-Trueba, V. and Reyes, E. 2019. Atmospheric CO2, CH4, and CO with the CRDS technique at the Izanã Global GAW station: instrumental tests, developments, and first measurement results. Atmos. Meas. Tech. 12 , 2043–2066. doi:10.5194/amt-12-2043-2019
Open DOI Search in Google Scholar Back to article
Gurney, K. R. , Law, R. M. , Denning, A. S. , Rayner, P. J. , Baker, D. and co-authors . 2002. Towards robust regional estimates of CO₂ sources and sinks using atmospheric transport models. Nature 405 , 626–630.
Search in Google Scholar Back to article
Gurney, K. R. , Law, R. M. , Denning, A. S. , Rayner, P. J. , Baker, D. and co-authors. 2003. TransCom 3 CO₂ inversion intercomparison: 1. Annual mean control results and sensitivity to transport and prior flux information. Tellus B 55 , 555–579. doi:10.3402/tellusb.v55i2.16728
Open DOI Search in Google Scholar Back to article
Haszpra, L. , Barcza, Z. , Haszpra, T. , Pátkai, Z. and Davis, K. J. 2015. How well do tall-tower measurements characterize the CO2 mole fraction distribution in the planetary boundary layer? Atmos. Meas. Tech. 8 , 1657–1671. doi:10.5194/amt-8-1657-2015
Open DOI Search in Google Scholar Back to article
Howarth, R. W. 2019. Ideas and perspectives: is shale gas a major driver of recent increase in global atmospheric methane? Biogeosciences 16 , 3033–3046. doi:10.5194/bg-16-3033-2019
Open DOI Search in Google Scholar Back to article
ICOS ERIC . 2020. ICOS Handbook (K. Ahlgren & M. Keski-Nisula (eds.); 2020th–2nd ed. ICOS ERIC, Helsinki.
Search in Google Scholar Back to article
Janssens-Maenhout, G. , Pagliari, V. , Guizzardi, D. and Muntean, M. 2012. Global Emission Inventories in the Emission Database for Global Atmospheric Research (EDGAR) — Manual (I), Gridding: EDGAR Emissions Distribution on Global Gridmaps . Luxembourg: European Union, Joint Research Centre, 33 pp.
Search in Google Scholar Back to article
Kaminski, T. , Heimann, M. and Giering, R. 1999. A coarse grid three dimensional global inverse model of the atmospheric transport, 2. Inversion of the transport of CO₂ in the 1980s. J. Geophys. Res. 104 , 18555–18581. doi:10.1029/1999JD900146
Open DOI Search in Google Scholar Back to article
Kaminski, T. and Rayner, P. J. 2017. Reviews and syntheses: guiding the evolution of the observing system for the carbon cycle through quantitative network design. Biogeosciences 14 , 4755–4766. doi:10.5194/bg-14-4755-2017
Open DOI Search in Google Scholar Back to article
Kong, Y. , Chen, B. and Measho, S. 2019. Spatio-temporal consistency evaluation of XCO2 retrievals from GOSAT and OCO-2 based on TCCON and model data for joint utilization in carbon cycle research. Atmosphere 10 , 354. doi:10.3390/atmos10070354
Open DOI Search in Google Scholar Back to article
Kuppel, S. , Peylin, P. , Chevallier, F. , Bacour, C. , Maignan, F. and co-authors. 2012. Constraining a global ecosystem model with multisite eddy-covariance data. Biogeosciences 9 , 3757–3776. doi:10.5194/bg-9-3757-2012
Open DOI Search in Google Scholar Back to article
Labuschagne, C. , Kuyper, B. , Brunke, E.-G. , Mokolo, T. , van der Spuy, D. and co-authors. 2018. A review of four decades of atmospheric trace gas measurements at Cape Point, South Africa. Trans. R. Soc. S. Afr. 73 , 113–132. doi:10.1080/0035919X.2018.1477854
Open DOI Search in Google Scholar Back to article
Lauvaux, T. , Miles, N. L. , Deng, A. , Richardson, S. J. , Cambaliza, M. O. and co-authors. 2016. High-resolution atmospheric inversion of urban CO₂ emissions during the dormant season of the Indianapolis Flux Experiment (INFLUX). J. Geophys. Res. Atmos. 121 , 5213–5236. doi:10.1002/2015JD024473
Open DOI Search in Google Scholar Back to article
Lauvaux, T. , Schuh, A. E. , Uliasz, M. , Richardson, S. , Miles, N. and co-authors. 2012. Constraining the CO₂ budget of the corn belt: exploring uncertainties from the assumptions in a mesoscale inverse system. Atmos. Chem. Phys. 12 , 337–354. doi:10.5194/acp-12-337-2012
Open DOI Search in Google Scholar Back to article
Law, R. M. , Chen, Y. , Gurney, K. R. and Transcom 3 Modellers . 2003. TransCom 3 CO₂ inversion intercomparison: 2. Sensitivity of annual mean results to data choices. Tellus B 55 , 580–595. doi:10.3402/tellusb.v55i2.16736
Open DOI Search in Google Scholar Back to article
Le Quéré, C. , Andrew, R. M. , Friedlingstein, P. , Sitch, S. , Hauck, J. and co-authors . 2018. Global carbon budget 2018. Earth Syst. Sci. Data 10 , 2141–2194. doi:10.5194/essd-10-2141-2018
Open DOI Search in Google Scholar Back to article
Leip, A. , Skiba, U. , Vermeulen, A. and Thompson, R. 2018. A complete rethink is needed on how greenhouse gas emissions are quantified for national reporting. Atmos. Environ. 174 , 237–240. doi:10.1016/j.atmosenv.2017.12.006
Open DOI Search in Google Scholar Back to article
Li, W. , Ciais, P. , Peng, S. , Yue, C. , Wang, Y. and co-authors. 2017. Landuse and land-cover change carbon emissions between 1901 and 2012 constrained by biomass observations. Biogeosciences 14 , 5053–5067. doi:10.5194/bg-14-5053-2017
Open DOI Search in Google Scholar Back to article
López-Ballesteros, A. , Beck, J. , Bombelli, A. , Grieco, E. , Lorencová, E. K. and co-authors. 2018. Towards a feasible and representative pan-African Research Infrastructure network for GHG observations. Environ. Res. Lett. 13 , 085003. doi:10.1088/1748-9326/aad66c
Open DOI Search in Google Scholar Back to article
Lopez-Coto, I. , Ghosh, S. , Prasad, K. and Whetstone, J. 2017. Tower-based greenhouse gas measurement network design—The National Institute of Standards and Technology North East Corridor Testbed. Adv. Atmos. Sci. 34 , 1095–1105. doi:10.1007/s00376-017-6094-6
Open DOI Search in Google Scholar Back to article
Lunt, M. F. , Palmer, P. I. , Feng, L. , Taylor, C. M. , Boesch, H. and co-authors. 2019. An increase in methane emissions from tropical Africa between 2010 and 2016 inferred from satellite data. Atmos. Chem. Phys. 19 , 14721–14740. doi:10.5194/acp-19-14721-2019
Open DOI Search in Google Scholar Back to article
McGuire, A. D. , Sitch, S. , Clein, J. S. , Dargaville, R. , Esser, G. and co-authors. 2001. Carbon balance of the terrestrial biosphere in the twentieth century: analyses of CO₂, climate and land use effects with four process-based ecosystem models. Global Biogeochem. Cy. 15 , 183–206. doi:10.1029/2000GB001298
Open DOI Search in Google Scholar Back to article
Morgan, E. J. , Lavrič, J. V. , Seifert, T. , Chicoine, T. , Day, A. and co-authors. 2015. Continuous measurements of greenhouse gases and atmospheric oxygen at the Namib Desert Atmospheric Observatory. Atmos. Meas. Tech. 8 , 2233–2250. doi:10.5194/amt-8-2233-2015
Open DOI Search in Google Scholar Back to article
Myhre, G. , Shindell, D. , Bréon, F.-M. , Collins, W. , Fuglestvedt, J. and co-authors 2013. Anthropogenic and natural radiative forcing, in climate change 2013: the physical science basis. In: Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (eds. T. F. Stocker , D. Qin , G.-K. Plattner , M. Tignor , S. K. Allen , J. Doschung , A. Nauels , Y. Xia , V. Bex , and P. M. Midgley ). Cambridge University Press, Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 659–740.
Search in Google Scholar Back to article
Nathan, B. J. , Lauvaux, T. , Turnbull, J. C. , Richardson, S. J. , Niles, N. L. and co-authors . 2018. Source sector attribution of CO2 emissions using an urban CO/CO2 Bayesian inversion system. J. Geophys. Res. Atmos. 123 , 13611–13621.
Search in Google Scholar Back to article
Nickless, A. , Rayner, P. J. , Engelbrecht, F. , Brunke, E.-G. , Erni, B. and co-authors. 2018a. Estimates of CO₂ fluxes over the city of Cape Town, South Africa, through Bayesian inverse modelling. Atmos. Chem. Phys. 18 , 4765–4801. doi:10.5194/acp-18-4765-2018
Open DOI Search in Google Scholar Back to article
Nickless, A. , Rayner, P. J. , Erni, B. and Scholes, R. J. 2018b. Comparison of the genetic algorithm and incremental optimisation routines for a Bayesian inverse modelling based network design. Inverse Prob. 34 , 055006. doi:10.1088/1361-6420/aab46c
Open DOI Search in Google Scholar Back to article
Nickless, A. , Rayner, P. J. , Scholes, R. J. , Engelbrecht, F. and Erni, B. 2019b. An atmospheric inversion over the city of Cape Town: sensitivity analyses. Atmos. Chem. Phys. 19 , 7789–7816. doi:10.5194/acp-19-7789-2019
Open DOI Search in Google Scholar Back to article
Nickless, A. , Scholes, R. J. , Vermeulen, A. , Beck, J. , Lopez´-Ballesteros, A. and co-authors. 2019a. Greenhouse gas observation network design for Africa. OSF. doi:https://doi.org/10.17605/OSF.
Open DOI Search in Google Scholar Back to article
Nickless, A. , Ziehn, T. , Rayner, P. J. , Scholes, R. J. and Engelbrecht, F. 2015. Greenhouse gas network design using backward Lagrangian particle dispersion modelling – Part 2: sensitivity analyses and South African test case. Atmos. Chem. Phys. 15 , 2051–2069. doi:10.5194/acp-15-2051-2015
Open DOI Search in Google Scholar Back to article
Nisbet, E. G. , Dlugokencky, E. J. , Manning, M. R. , Lowry, D. , Fisher, R. E. and co-authors. 2016. Rising atmospheric methane: 2007–2014 growth and isotopic shift. Global Biogeochem. Cy. 30 , 1356–1370. doi:10.1002/2016GB005406
Open DOI Search in Google Scholar Back to article
Nisbet, E. G. , Manning, M. R. , Dlugokencky, E. J. , Fisher, R. E. , Lowry, D. and co-authors. 2019. Very strong atmospheric methane growth in the 4 years 2014–2017: Implications for the Paris Agreement. Global Biogeochem. Cy. 33 , 318–342. doi:10.1029/2018GB006009
Open DOI Search in Google Scholar Back to article
Northrop, E. , Dagnet, Y. , Höhne, N. , Thwaites, J. and Mogelgaard, K. 2018. Achieving the ambition of Paris: designing the global stocktake. Working Paper. Project for Advancing Climate Transparency (PACT), Washington, DC. Online at: http://www.wri.org/publication/pact-global-stocktakedesign
Search in Google Scholar Back to article
Oda, T. , Lauvaux, T. , Lu, D. , Rao, P. , Miles, N. L. and co-authors. 2017. On the impact of granularity of space-based urban CO₂ emissions in urban atmospheric inversions: a case study for Indianapolis, IN. Elementa 5 , 28.
Search in Google Scholar Back to article
Oda, T. and Maksyutov, S. 2011. A very high-resolution (1 km × 1 km) global fossil fuel CO₂ emission inventory derived using a point source database and satellite observations of nighttime lights. Atmos. Chem. Phys. 11 , 543–556. doi:10.5194/acp-11-543-2011
Open DOI Search in Google Scholar Back to article
Oda, T. , Maksyutov, S. and Andres, R. J. 2018. The open-source data inventory for anthropogenic carbon dioxide (CO₂), version 2016 (ODIAC2016): a global, monthly fossil-fuel CO₂ gridded emission data product for tracer transport simulations and surface flux inversions. Earth Syst. Sci. Data 10 , 87–107. doi:10.5194/essd-10-87-2018
Open DOI Search in Google Scholar Back to article
Palmer, P. I. , O'Doherty, S. , Allen, G. , Bower, K. , Bösch, H. and co-authors. 2018. A measurement-based verification framework for UK greenhouse gas emissions: an overview of the Greenhouse gAs UK and global emissions (GAUGE) project. Atmos. Chem. Phys. 18 , 11753–11777. doi:10.5194/acp-18-11753-2018
Open DOI Search in Google Scholar Back to article
Patra, P. K. , Houweling, S. , Krol, M. , Bousquet, P. , Belikov, D. and co-authors. 2011. TransCom model simulations of CH4 and related species: linking transport, surface flux and chemical loss with CH4 variability in the troposphere and lower stratosphere. Atmos. Chem. Phys. 11 , 12813–12837. doi:10.5194/acp-11-12813-2011
Open DOI Search in Google Scholar Back to article
Patra, P. K. and Maksyutov, S. 2002. Incremental approach to the optimal network design for CO₂ surface source inversion. Geophys. Res. Lett. 29 , 97–1–97-4.
Search in Google Scholar Back to article
Peylin, P. , Baker, D. , Sarmiento, J. , Ciais, P. and Bousquet, P. 2002. Influence of transport uncertainty on annual mean and seasonal inversions of atmospheric CO₂ data. J. Geophys. Res. 107 , 4385. doi:10.1029/2001JD000857
Open DOI Search in Google Scholar Back to article
Pisso, I. , Sollum, E. , Grythe, H. , Kristiansen, N. I. , Cassiani, M. and co-authors. 2019. The Lagrangian particle dispersion model FLEXPART version 10.4. Geosci. Model Dev. 12 , 4955–4997. doi:10.5194/gmd-12-4955-2019
Open DOI Search in Google Scholar Back to article
Rayner, P. J. 2004. Optimizing CO₂ observing networks in the presence of model error: results from TransCom 3. Atmos. Chem. Phys. 4 , 413–421. doi:10.5194/acp-4-413-2004
Open DOI Search in Google Scholar Back to article
Rayner, P. J. , Enting, I. G. , Francey, R. J. and Langenfelds, R. L. 1999. Reconstructing the recent carbon cycle from atmospheric CO₂, ¹³C and O₂/N₂ observations. Tellus B 51 , 213–232. doi:10.3402/tellusb.v51i2.16273
Open DOI Search in Google Scholar Back to article
Rayner, P. J. , Enting, I. G. and Trudinger, C. M. 1996. Optimizing the CO₂ observing network for constraining sources and sinks. Tellus B 48 , 433–444. doi:10.3402/tellusb.v48i4.15924
Open DOI Search in Google Scholar Back to article
Reuter, M. , Buchwitz, M. , Schneising, O. , Krautwurst, S. , O'Dell, C. W. and co-authors. 2019. Towards monitoring localized CO2 emissions from space: co-located regional CO2 and NO2 enhancements observed by the OCO-2 and S5P satellites. Atmos. Chem. Phys. 19 , 9371–9383. doi:10.5194/acp-19-9371-2019
Open DOI Search in Google Scholar Back to article
Rigby, M. , Montzka, S. A. , Prinn, R. G. , White, J. W. C. , Young, D. and co-authors. 2017. Role of atmospheric oxidation in recent methane growth. Proc. Natl. Acad. Sci. USA. 114 , 5373–5377. doi:10.1073/pnas.1616426114
Open DOI Search in Google Scholar Back to article
Rödenbeck, C. , Houweling, S. , Gloor, M. and Heimann, M. 2003. CO₂ flux history 1982–2001 inferred from atmospheric data using a global inversion of atmospheric transport. Atmos. Chem. Phys. 3 , 1919–1964. doi:10.5194/acp-3-1919-2003
Open DOI Search in Google Scholar Back to article
Saikawa, E. , Schlosser, C. A. and Prinn, R. G. 2013. Global modeling of soil nitrous oxide emissions from natural processes. Global Biogeochem. Cy. 27 , 972–989. doi:10.1002/gbc.20087
Open DOI Search in Google Scholar Back to article
Saunois, M. , Bousquet, P. , Poulter, B. , Peregon, A. , Ciais, P. and co-authors. 2016. The global methane budget 2000–2012. Earth Syst. Sci. Data 8 , 697–751. doi:10.5194/essd-8-697-2016
Open DOI Search in Google Scholar Back to article
Schneising, O. , Buchwitz, M. , Reuter, M. , Bovensmann, H. , Burrows, J. P. and co-authors. 2019. A scientific algorithm to simultane-ously retrieve carbon monoxide and methane from TROPOMI on-board Sentinel-5 Precursor. Atmos. Meas. Tech. 12 , 6771–6802. doi:10.5194/amt-12-6771-2019
Open DOI Search in Google Scholar Back to article
Seibert, P. and Frank, A. 2004. Source-receptor matrix calculation with a Lagrangian particle dispersion model in backward mode. Atmos. Chem. Phys. 4 , 51–63. doi:10.5194/acp-4-51-2004
Open DOI Search in Google Scholar Back to article
Sitch, S. , Friedlingstein, P. , Gruber, N. , Jones, S. D. , Murray-Tortarolo, G. and co-authors. 2015. Recent trends and drivers of regional sources and sinks of carbon dioxide. Biogeosciences 12 , 653–679. doi:10.5194/bg-12-653-2015
Open DOI Search in Google Scholar Back to article
Sitch, S. , Smith, B. , Prentice, I. C. , Arneth, A. , Bondeau, A. and co-authors. 2003. Evaluation of ecosystem dynamics, plant geography and terrestrial carbon cycling in the LPJ dynamic global vegetation model. Global Change Biol. 9 , 161–185. doi:10.1046/j.1365-2486.2003.00569.x
Open DOI Search in Google Scholar Back to article
Tarantola, A. 2005. Inverse problem theory and methods for model parameter estimation. Society for Industrial and Applied Mathematics, Philadelphia.
Search in Google Scholar Back to article
Thompson, R. L. , Lassaletta, L. , Patra, P. K. , Wilson, C. , Wells, K. C. and co-authors. 2019. Acceleration of global N₂O emissions seen from two decades of atmospheric inversion. Nat. Clim. Change 9 , 993–998. doi:10.1038/s41558-019-0613-7
Open DOI Search in Google Scholar Back to article
Thompson, R. L. and Stohl, A. 2014. FLEXINVERT: an atmospheric Bayesian inversion framework for determining surface fluxes of trace species using an optimized grid. Geosci. Model Dev. 7 , 2223–2242. doi:10.5194/gmd-7-2223-2014
Open DOI Search in Google Scholar Back to article
United Nations . 2019. World population prospects: the 2018 revision, Department of Economic and Social Affairs, Population Division. Online at: https://population.un.org/wup/Publications/Files/WUP2018-Report.pdf
Search in Google Scholar Back to article
van der Werf, G. R. , Randerson, J. T. , Giglio, L. , van Leeuwen, T. T. , Chen, Y. and co-authors. 2017. Global fire emissions estimates during 1997–2016. Earth Syst. Sci. Data 9 , 697–720. doi:10.5194/essd-9-697-2017
Open DOI Search in Google Scholar Back to article
Vesala, T. , Kljun, N. , Rannik, U. , Rinne, J. , Sogachev, A. and co-authors. 2008. Flux and concentration footprint modelling: State of the art. Environ. Pollut. 152 , 653–666. doi:10.1016/j.envpol.2007.06.070
Open DOI Search in Google Scholar Back to article
Wang, H. , Jiang, F. , Wang, J. , Ju, W. and Chen, J. M. 2019. Terrestrial ecosystem carbon flux estimated using GOSAT and OCO-2 XCO2 retrievals. Atmos. Chem. Phys. 19 , 12067–12082. doi:10.5194/acp-19-12067-2019
Open DOI Search in Google Scholar Back to article
Wang, J. S. , Kawa, S. R. , Collatz, G. J. , Sasakawa, M. , Gatti, L. V. and co-authors. 2018. A global synthesis inversion analysis of recent variability in CO2 fluxes using GOSAT and in situ observations. Atmos. Chem. Phys. 18 , 11097–11124.
Search in Google Scholar Back to article
White, E. D. , Rigby, M. , Lunt, M. F. , Smallman, T. L. , Comyn-Platt, E. and co-authors. 2019. Quantifying the UK’s carbon diox-ide flux: an atmospheric inverse modelling approach using a regional measurement network. Atmos. Chem. Phys. 19 , 4345–4365. doi:10.5194/acp-19-4345-2019.
Open DOI Search in Google Scholar Back to article
Whittlestone, S. , Kowalczyk, E. , Brunke, E. G. and Labuschagne, C. 2009. Source Regions for CO₂ at Cape Point Assessed by Modelling 222Rn and Meteorological Data. Technical Report for the South African Weather Service, Pretoria, South Africa.
Search in Google Scholar Back to article
Wu, Z. , Hugelius, G. , Luo, Y. , Smith, B. , Xia, J. and co-authors. 2019. Approaching the potential of model-data comparisons of global land carbon storage. Sci. Rep. 9 , 3367. doi:10.1038/s41598-019-38976-y
Open DOI Search in Google Scholar Back to article
Ziehn, T. , Nickless, A. , Rayner, P. J. , Law, R. M. , Roff, G. and co-authors. 2014. Greenhouse gas network design using backward La-grangian particle dispersion modelling - Part 1: methodology and Australian test case. Atmos. Chem. Phys. 14 , 9363–9378. doi:10.5194/acp-14-9363-2014
Open DOI Search in Google Scholar Back to article

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DOI: https://doi.org/10.1080/16000889.2020.1824486 | Journal eISSN: 1600-0889

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Language: English

Page range: 1824486 - 1824486

Published on: Jan 1, 2020

Published by: Stockholm University Press

In partnership with: Paradigm Publishing Services

Keywords:

greenhouse gases,

observation network design,

Bayesian inversion,

Lagrangian particle dispersion model

© 2020 Alecia Nickless, Robert J. Scholes, Alex Vermeulen, Johannes Beck, Ana López-Ballesteros, Jonas Ardö, Ute Karstens, Matthew Rigby, Ville Kasurinen, Karolina Pantazatou, Veronika Jorch, Werner Kutsch, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.

Volume 72 (2020): Issue 1