The Aerosol Direct Radiative Impact Experiment (ADRIEX) was a joint UK Met Office/Natural Environment Research Council (NERC)/UK Royal Society/University of Oslo project aiming at improving our understanding of the radiative effects of anthropogenic aerosol and gases (ozone and methane) in the troposphere.
This dataset contains emission tracers from UTRAJ model.
“Emissions tracers” are calculated by integrating surface emissions along each trajectory when it is within the boundary layer. The surface emissions are specified using an inventory. During the ITOP campaign the EDGAR inventories for NOx and isoprene emissions are used to indicate trajectories that are likely to have been influenced by anthropogenic or biogenic emissions respectively. The emissions from the surface are assumed to be instantaneously mixed throughout the boundary layer column so that they are equivalent to a volume source within the boundary layer. The boundary layer depth (time and space dependent) is obtained from the same numerical weather prediction model as provides the wind and temperature fields (usually the ECMWF model). Chemistry and dilution by mixing is not modelled along the trajectories, so the values assigned to back trajectories are not intended to represent concentrations on the arrival grid. Both NOx and isoprene have short photochemical lifetimes
compared with the length of trajectories used.
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Public data: access to these data is available to both registered and non-registered users.
Use of these data is covered by the following licence: http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Trajectories and other forecast products calculated by John Methven (University of Reading), based on European Centre for Medium-Range Weather Forecasts (ECMWF) forecast wind fields, to support Aerosol Direct Radiative Impact Experiment (ADRIEX) flight planning.
Research flight data.
Data are netCDF or NASA Ames formatted.
Methven trajectory model deployed on Reading University computer
This computation involved: Methven trajectory model deployed on Reading University computer. John Methven, Reading University's reverse domain filling trajectory model. This can also give accumulated anthropogenic and biogenic emissions along trajectories.