 |
| Titel |
The influence of model grid resolution on estimation of national scale nitrogen deposition and exceedance of critical loads |
| VerfasserIn |
A. J. Dore, M. Kryza, J. R. Hall, S. Hallsworth, V. J. D. Keller, M. Vieno, M. A. Sutton |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
1726-4170
|
| Digitales Dokument |
URL |
| Erschienen |
In: Biogeosciences ; 9, no. 5 ; Nr. 9, no. 5 (2012-05-03), S.1597-1609 |
| Datensatznummer |
250007018
|
| Publikation (Nr.) |
 copernicus.org/bg-9-1597-2012.pdf |
|
|
|
|
|
| Zusammenfassung |
The Fine Resolution Atmospheric Multi-pollutant Exchange model (FRAME) was
applied to model the spatial distribution of reactive nitrogen deposition
and air concentration over the United Kingdom at a 1 km spatial resolution.
The modelled deposition and concentration data were gridded at resolutions
of 1 km, 5 km and 50 km to test the sensitivity of calculations of the
exceedance of critical loads for nitrogen deposition to the deposition data
resolution. The modelled concentrations of NO2 were validated by
comparison with measurements from the rural sites in the national monitoring
network and were found to achieve better agreement with the high resolution
1 km data.
High resolution plots were found to represent a more physically realistic
distribution of reactive nitrogen air concentrations and deposition
resulting from use of 1 km resolution precipitation and emissions data as
compared to 5 km resolution data. Summary statistics for national scale
exceedance of the critical load for nitrogen deposition were not highly
sensitive to the grid resolution of the deposition data but did show greater
area exceedance with coarser grid resolution due to spatial averaging of
high nitrogen deposition hot spots. Local scale deposition at individual
Sites of Special Scientific Interest and high precipitation upland sites was
sensitive to choice of grid resolution of deposition data. Use of high
resolution data tended to generate lower deposition values in sink areas for
nitrogen dry deposition (Sites of Scientific Interest) and higher values in
high precipitation upland areas. In areas with generally low exceedance
(Scotland) and for certain vegetation types (montane), the exceedance
statistics were more sensitive to model data resolution. |
| |
|
| Teil von |
|
|
|
|
|
|
|
|