Journal
GEOSCIENTIFIC MODEL DEVELOPMENT
Volume 10, Issue 12, Pages 4605-4618Publisher
COPERNICUS GESELLSCHAFT MBH
DOI: 10.5194/gmd-10-4605-2017
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Funding
- eSTICC-eScience Tools for Investigating Climate Change in northern high latitudes
- NordForsk Nordic Centre of Excellence grant [57001]
- European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme [670462]
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Existing Lagrangian particle dispersion models are capable of establishing source-receptor relationships by running either forward or backward in time. For receptor-oriented studies such as interpretation of point measurement data, backward simulations can be computationally more efficient by several orders of magnitude. However, to date, the backward modelling capabilities have been limited to atmospheric concentrations or mixing ratios. In this paper, we extend the backward modelling technique to substances deposited at the Earth's surface by wet scavenging and dry deposition. This facilitates efficient calculation of emission sensitivities for deposition quantities at individual sites, which opens new application fields such as the comprehensive analysis of measured deposition quantities, or of deposition recorded in snow samples or ice cores. This could also include inverse modelling of emission sources based on such measurements. We have tested the new scheme as implemented in the Lagrangian particle dispersion model FLEXPART v10.2 by comparing results from forward and backward calculations. We also present an example application for black carbon concentrations recorded in Arctic snow.
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