 |
| Titel |
Influence of high-resolution surface databases on the modeling of local atmospheric circulation systems |
| VerfasserIn |
L. M. S. Paiva, G. C. R. Bodstein, L. C. G. Pimentel |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
1991-959X
|
| Digitales Dokument |
URL |
| Erschienen |
In: Geoscientific Model Development ; 7, no. 4 ; Nr. 7, no. 4 (2014-08-14), S.1641-1659 |
| Datensatznummer |
250115676
|
| Publikation (Nr.) |
 copernicus.org/gmd-7-1641-2014.pdf |
|
|
|
|
|
| Zusammenfassung |
| Large-eddy simulations are performed using the Advanced Regional Prediction
System (ARPS) code at horizontal grid resolutions as fine as 300 m to assess
the influence of detailed and updated surface databases on the modeling of
local atmospheric circulation systems of urban areas with complex terrain.
Applications to air pollution and wind energy are sought. These databases
are comprised of 3 arc-sec topographic data from the Shuttle Radar
Topography Mission, 10 arc-sec vegetation-type data from the European Space
Agency (ESA) GlobCover project, and 30 arc-sec leaf area index and fraction
of absorbed photosynthetically active radiation data from the ESA GlobCarbon
project. Simulations are carried out for the metropolitan area of Rio de
Janeiro using six one-way nested-grid domains that allow the choice of
distinct parametric models and vertical resolutions associated to each grid.
ARPS is initialized using the Global Forecasting System with 0.5°-resolution data from the National Center of Environmental Prediction, which
is also used every 3 h as lateral boundary condition. Topographic
shading is turned on and two soil layers are used to compute the soil
temperature and moisture budgets in all runs. Results for two simulated runs
covering three periods of time are compared to surface and upper-air
observational data to explore the dependence of the simulations on initial
and boundary conditions, grid resolution, topographic and land-use
databases. Our comparisons show overall good agreement between simulated and
observational data, mainly for the potential temperature and the wind speed
fields, and clearly indicate that the use of high-resolution databases
improves significantly our ability to predict the local atmospheric
circulation. |
| |
|
| Teil von |
|
|
|
|
|
|
|
|