By the same authors

From the same journal

From the same journal

Estimation of spatial apportionment of greenhouse gas emissions for the UK using boundary layer measurements and inverse modelling technique

Research output: Contribution to journalArticle


  • Ruth Mary Purvis
  • D Polson
  • Eiko Nemitz
  • Ute Skiba
  • Fowler David
  • McDonald A
  • Hugh Coe
  • D Famulari
  • A Manning
  • H Webster
  • M Harrison
  • Claire Reeves
  • D Oram


Publication details

JournalAtmospheric Environment
DatePublished - Feb 2011
Issue number4
Pages (from-to)1042-1049
Original languageEnglish


A technique is described to independently validate the national emission inventories produced using the methodology of the Intergovernmental Panel on Climate Change (IPCC). A boundary layer budget approach is applied to the United Kingdom and an inverse modelling technique is used to derive total and spatial apportionment of emissions for CO, CO(2), CH(4), N(2)O, HFC-134a, HCFC-141b, HCFC-142b and HCFC-22. During the summer of 2005 and September 2006 an aircraft circumnavigating the UK was used to collect data upwind and downwind of the UK coast. The concentration measurements were inverted to produce mapped emissions of the UK. The modelled overall CO flux (2900 +/- 107 kt yr(-1)) and spatial apportionment throughout the UK are remarkably consistent with the official UK NAEI (National Atmospheric Emission Inventory) inventory. The CO(2) total emissions (620 +/- 105 Mt yr(-1)) and spatial apportionment are also close to the NAEI However for N(2)O and CH(4), the estimated annual fluxes, 500 +/- 370 kt yr(-1) and 3500 (range 0-8000 kt yr(-1)) respectively, are larger than the NAEI albeit with significant uncertainty. Emissions of four halocarbon compounds were also calculated with total emissions of 3.1 +/- 0.4 kt yr(-1) for HFC-134a, 0.9 +/- 0.6 kt yr(-1) for HCFC-141b, 0.56 +/- 0.2 kt yr(-1) for HCFC-142b and 3.8 +/- 1.0 kt yr(-1) for HCFC-22 consistent with other published data. (C) 2010 Elsevier Ltd. All rights reserved.

Discover related content

Find related publications, people, projects, datasets and more using interactive charts.

View graph of relations