Improving the temporal profiles of emission input data for high resolution atmospheric transport modelling – a case study for the UK

Reis, Stefan ORCID: https://orcid.org/0000-0003-2428-8320; Lang, Myriam; Vieno, Massimo ORCID: https://orcid.org/0000-0001-7741-9377. 2009 Improving the temporal profiles of emission input data for high resolution atmospheric transport modelling – a case study for the UK. In: 18th Annual International Emission Inventory Conference."Comprehensive Inventories -Leveraging Technology and Resources", Baltimore, 14 - 17 April 2009. US Environmental Protection Agency: Clearinghouse for Inventories & Emissions Factors.

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Abstract/Summary

Atmospheric transport models (ATMs) are widely applied, ranging from basic research into processes of atmospheric transport, chemical transformation and deposition to ex-ante and ex-post evaluations of air quality related policy decisions. In a policy context, the drive for an accurate quantification of the uncertainties of model output is particularly strong. ATMs are typically evaluated by model intercomparisons, both assessing the relative performance in reproducing selected atmospheric parameters and comparing model results to atmospheric measurements conducted on the ground, airborne or by remote sensing. And to a certain extent, sensitivity analyses have been conducted to identify the key drivers of the models’ output, for instance looking into the quality of meteorological input data such as wind speed and direction, ambient temperature, spatial and temporal distribution of rainfall and suchlike. While emission inventories have been subject to significant improvements over the last decades and efforts to both quantify and reduce the uncertainties of inventory datasets, both the sensitivity to and the processing of emission input data in currently applied atmospheric transport models has not been investigated in sufficient depth. This is in particular the case for the temporal resolution of emissions, which may have a significant impact on the match between model results and measurement data in particular when applying ATMs with exceptionally high spatial resolution on a national or below scale (5×5 or 1×1 km, in the case of the UK). This paper aims to conduct first analyses of the sensitivity of atmospheric transport models based on data for the United Kingdom to make a case for the improvement of temporal resolutions of emission input data into state-of-the-art models. Further to that, the authors would like to derive recommendations and priorities for the improvement of emission processing routines in the view of limited resources.

Item Type:	Publication - Conference Item (Paper)
Programmes:	CEH Topics & Objectives 2009 - 2012 > Biogeochemistry > BGC Topic 2 - Biogeochemistry and Climate System Processes > BGC - 2.4 - Develop model frameworks to predict future impact of environmental drivers ... CEH Topics & Objectives 2009 - 2012 > Biogeochemistry > BGC Topic 2 - Biogeochemistry and Climate System Processes > BGC - 2.1 - Quantify & model processes that control the emission, fate and bioavailability of pollutants
UKCEH and CEH Sections/Science Areas:	Billett (to November 2013)
Additional Keywords:	air pollution, modelling, temporal resolution, ozone, EMEP4UK
NORA Subject Terms:	Ecology and Environment Data and Information Atmospheric Sciences
Related URLs:	Other Publisher Author's Homepage
Date made live:	03 Jun 2009 12:15 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/7070

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