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Pete Smith  - - - 
Top co-authors See all
Paul D. Hallett

51 shared publications

School of Biological Sciences, University of Aberdeen, Aberdeen, UK

Mark Pogson

43 shared publications

Department of Applied Mathematics, Liverpool John Moores University, James Parsons Building, Byrom Street, Liverpool L3 3AF, United Kingdom

S.J. Welham

31 shared publications

Biomathematics & Bioinformatics, Rothamsted Research, Harpenden, AL5 2JQ, UK

Kevin Coleman

23 shared publications

Soils and Grasslands Systems Science Department, Rothamsted Research, Harpenden, Hertfordshire, AL5 2JQ, UK

Klaus Glenk

20 shared publications

Land Economy Unit, Scottish Rural College. Edinburgh, United Kingdom

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Publication Record
Distribution of Articles published per year 
(1989 - 2018)
Publications See all
Article 0 Reads 0 Citations Nitrogen application rates need to be reduced for half of the rice paddy fields in China Dan Zhang, Hongyuan Wang, Junting Pan, Jiafa Luo, Jian Liu, ... Published: 01 October 2018
Agriculture, Ecosystems & Environment, doi: 10.1016/j.agee.2018.05.023
DOI See at publisher website
Article 0 Reads 0 Citations Chinese cropping systems are a net source of greenhouse gases despite soil carbon sequestration Bing Gao, Tao Huang, Xiaotang Ju, Baojing Gu, Wei Huang, Lil... Published: 14 September 2018
Global Change Biology, doi: 10.1111/gcb.14425
DOI See at publisher website
Article 0 Reads 0 Citations Moving beyond calories and protein: Micronutrient assessment of UK diets and land use Henri De Ruiter, Jennie I. MacDiarmid, Robin B. Matthews, Pe... Published: 01 September 2018
Global Environmental Change, doi: 10.1016/j.gloenvcha.2018.06.007
DOI See at publisher website
Article 0 Reads 0 Citations Soil organic carbon sequestration and mitigation potential in a rice cropland in Bangladesh – a modelling approach K. Begum, M. Kuhnert, J. Yeluripati, S. Ogle, W. Parton, M.A... Published: 01 September 2018
Field Crops Research, doi: 10.1016/j.fcr.2018.07.001
DOI See at publisher website
Article 0 Reads 1 Citation A measurement-based verification framework for UK greenhouse gas emissions: an overview of the Greenhouse gAs Uk and Glo... Paul I. Palmer, Simon O'doherty, Grant Allen, Keith Bow... Published: 17 August 2018
Atmospheric Chemistry and Physics, doi: 10.5194/acp-18-11753-2018
DOI See at publisher website
ABS Show/hide abstract
We describe the motivation, design, and execution of the Greenhouse gAs Uk and Global Emissions (GAUGE) project. The overarching scientific objective of GAUGE was to use atmospheric data to estimate the magnitude, distribution, and uncertainty of the UK greenhouse gas (GHG, defined here as CO2, CH4, and N2O) budget, 2013–2015. To address this objective, we established a multi-year and interlinked measurement and data analysis programme, building on an established tall-tower GHG measurement network. The calibrated measurement network comprises ground-based, airborne, ship-borne, balloon-borne, and space-borne GHG sensors. Our choice of measurement technologies and measurement locations reflects the heterogeneity of UK GHG sources, which range from small point sources such as landfills to large, diffuse sources such as agriculture. Atmospheric mole fraction data collected at the tall towers and on the ships provide information on sub-continental fluxes, representing the backbone to the GAUGE network. Additional spatial and temporal details of GHG fluxes over East Anglia were inferred from data collected by a regional network. Data collected during aircraft flights were used to study the transport of GHGs on local and regional scales. We purposely integrated new sensor and platform technologies into the GAUGE network, allowing us to lay the foundations of a strengthened UK capability to verify national GHG emissions beyond the project lifetime. For example, current satellites provide sparse and seasonally uneven sampling over the UK mainly because of its geographical size and cloud cover. This situation will improve with new and future satellite instruments, e.g. measurements of CH4 from the TROPOspheric Monitoring Instrument (TROPOMI) aboard Sentinel-5P. We use global, nested, and regional atmospheric transport models and inverse methods to infer geographically resolved CO2 and CH4 fluxes. This multi-model approach allows us to study model spread in a posteriori flux estimates. These models are used to determine the relative importance of different measurements to infer the UK GHG budget. Attributing observed GHG variations to specific sources is a major challenge. Within a UK-wide spatial context we used two approaches: (1) Δ14CO2 and other relevant isotopologues (e.g. δ13CCH4) from collected air samples to quantify the contribution from fossil fuel combustion and other sources, and (2) geographical separation of individual sources, e.g. agriculture, using a high-density measurement network. Neither of these represents a definitive approach, but they will provide invaluable information about GHG source attribution when they are adopted as part of a more comprehensive, long-term national GHG measurement programme. We also conducted a number of case studies, including an instrumented landfill experiment that provided a test bed for new technologies and flux estimation methods. We anticipate that results from the GAUGE project will help...
Article 0 Reads 0 Citations Assessment of air quality microsensors versus reference methods: The EuNetAir Joint Exercise – Part II C. Borrego, J. Ginja, M. Coutinho, C. Ribeiro, K. Karatzas, ... Published: 01 August 2018
Atmospheric Environment, doi: 10.1016/j.atmosenv.2018.08.028
DOI See at publisher website
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