Novel methods to constrain regional greenhouse gas fluxes using aircraft data

Anthropogenically induced changes to the Earth's climate system are widely accepted to be one of the greatest threats to the sustainable future of humanity. Greenhouse gas emissions constitute the largest driving factor behind these changes, and with annual emissions still increasing further pe...

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Bibliographic Details
Main Author: Pitt, Joseph
Format: Doctoral or Postdoctoral Thesis
Language:English
Published: 2017
Subjects:
Online Access:https://research.manchester.ac.uk/en/studentTheses/e9aea30c-dd81-43c6-917b-27e22b32352f
https://pure.manchester.ac.uk/ws/files/73362064/FULL_TEXT.PDF
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spelling ftumanchesterpub:oai:pure.atira.dk:studenttheses/e9aea30c-dd81-43c6-917b-27e22b32352f 2023-11-12T04:13:53+01:00 Novel methods to constrain regional greenhouse gas fluxes using aircraft data Pitt, Joseph 2017-08-01 application/pdf https://research.manchester.ac.uk/en/studentTheses/e9aea30c-dd81-43c6-917b-27e22b32352f https://pure.manchester.ac.uk/ws/files/73362064/FULL_TEXT.PDF eng eng doctoralThesis 2017 ftumanchesterpub 2023-10-30T09:15:52Z Anthropogenically induced changes to the Earth's climate system are widely accepted to be one of the greatest threats to the sustainable future of humanity. Greenhouse gas emissions constitute the largest driving factor behind these changes, and with annual emissions still increasing further perturbation is projected. Accurate quantification of these emissions, broken down both spatially and sectorally, is vitally important in guiding effective policy for emission reduction at both national and international levels. This thesis focusses on methods to improve top-down estimates for greenhouse gas emissions within the UK, using data sampled on board the UK atmospheric research aircraft. Novel instrumentation and analytical techniques are presented and evaluated, based on measurements made as part of the GAUGE (Greenhouse gAs UK and Global Emissions) and MAMM (Methane and other greenhouse gases in the Arctic: Measurements, process studies and Modelling) projects. A new quantum cascade laser absorption spectrometer (QCLAS) for measuring CH4 and N2O on board the aircraft has been characterised. Its performance was evaluated over 17 flights during summer 2016, and a sensitivity to changes in aircraft cabin pressure was observed. A new calibration procedure was derived to minimise the effect of this sensitivity on the data, and the impact of this new procedure was quantified through analysis of in-flight target cylinder measurements and comparison against simultaneous CH4 measurements made using a previously characterised analyser. The impact of water vapour on the retrievals was also investigated, with superior results derived by directly including line broadening due to water vapour in the mole fraction retrieval algorithm. Applying the new calibration procedure to the data, total 1-sigma uncertainties of 2.47 ppb for CH4 and 0.54 ppb for N2O have been calculated for 1 Hz measurement. The British Isles CH4 flux has been derived for a case study on 12 May 2015, using aircraft and ground-based sampling and a ... Doctoral or Postdoctoral Thesis Arctic The University of Manchester: Research Explorer
institution Open Polar
collection The University of Manchester: Research Explorer
op_collection_id ftumanchesterpub
language English
description Anthropogenically induced changes to the Earth's climate system are widely accepted to be one of the greatest threats to the sustainable future of humanity. Greenhouse gas emissions constitute the largest driving factor behind these changes, and with annual emissions still increasing further perturbation is projected. Accurate quantification of these emissions, broken down both spatially and sectorally, is vitally important in guiding effective policy for emission reduction at both national and international levels. This thesis focusses on methods to improve top-down estimates for greenhouse gas emissions within the UK, using data sampled on board the UK atmospheric research aircraft. Novel instrumentation and analytical techniques are presented and evaluated, based on measurements made as part of the GAUGE (Greenhouse gAs UK and Global Emissions) and MAMM (Methane and other greenhouse gases in the Arctic: Measurements, process studies and Modelling) projects. A new quantum cascade laser absorption spectrometer (QCLAS) for measuring CH4 and N2O on board the aircraft has been characterised. Its performance was evaluated over 17 flights during summer 2016, and a sensitivity to changes in aircraft cabin pressure was observed. A new calibration procedure was derived to minimise the effect of this sensitivity on the data, and the impact of this new procedure was quantified through analysis of in-flight target cylinder measurements and comparison against simultaneous CH4 measurements made using a previously characterised analyser. The impact of water vapour on the retrievals was also investigated, with superior results derived by directly including line broadening due to water vapour in the mole fraction retrieval algorithm. Applying the new calibration procedure to the data, total 1-sigma uncertainties of 2.47 ppb for CH4 and 0.54 ppb for N2O have been calculated for 1 Hz measurement. The British Isles CH4 flux has been derived for a case study on 12 May 2015, using aircraft and ground-based sampling and a ...
format Doctoral or Postdoctoral Thesis
author Pitt, Joseph
spellingShingle Pitt, Joseph
Novel methods to constrain regional greenhouse gas fluxes using aircraft data
author_facet Pitt, Joseph
author_sort Pitt, Joseph
title Novel methods to constrain regional greenhouse gas fluxes using aircraft data
title_short Novel methods to constrain regional greenhouse gas fluxes using aircraft data
title_full Novel methods to constrain regional greenhouse gas fluxes using aircraft data
title_fullStr Novel methods to constrain regional greenhouse gas fluxes using aircraft data
title_full_unstemmed Novel methods to constrain regional greenhouse gas fluxes using aircraft data
title_sort novel methods to constrain regional greenhouse gas fluxes using aircraft data
publishDate 2017
url https://research.manchester.ac.uk/en/studentTheses/e9aea30c-dd81-43c6-917b-27e22b32352f
https://pure.manchester.ac.uk/ws/files/73362064/FULL_TEXT.PDF
genre Arctic
genre_facet Arctic
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