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| Titel |
Effect of land cover on atmospheric processes and air quality over the continental United States – a NASA Unified WRF (NU-WRF) model study |
| VerfasserIn |
Z. Tao, J. A. Santanello, M. Chin, S. Zhou, Q. Tan, E. M. Kemp, C. D. Peters-Lidard |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1680-7316
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| Digitales Dokument |
URL |
| Erschienen |
In: Atmospheric Chemistry and Physics ; 13, no. 13 ; Nr. 13, no. 13 (2013-07-01), S.6207-6226 |
| Datensatznummer |
250018729
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| Publikation (Nr.) |
 copernicus.org/acp-13-6207-2013.pdf |
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| Zusammenfassung |
| The land surface plays a crucial role in regulating water and energy fluxes
at the land–atmosphere (L–A) interface and controls many processes and
feedbacks in the climate system. Land cover and vegetation type remains one
key determinant of soil moisture content that impacts air temperature,
planetary boundary layer (PBL) evolution, and precipitation through
soil-moisture–evapotranspiration coupling. In turn, it will affect atmospheric
chemistry and air quality. This paper presents the results of a modeling
study of the effect of land cover on some key L–A processes with a focus on
air quality. The newly developed NASA Unified Weather Research and Forecast
(NU-WRF) modeling system couples NASA's Land Information System (LIS) with
the community WRF model and allows users to explore the L–A processes and
feedbacks. Three commonly used satellite-derived land cover datasets – i.e.,
from the US Geological Survey (USGS) and University of Maryland (UMD), which
are based on the Advanced Very High Resolution Radiometer (AVHRR), and from
the Moderate Resolution Imaging Spectroradiometer (MODIS) – bear large
differences in agriculture, forest, grassland, and urban spatial
distributions in the continental United States, and thus provide an
excellent case to investigate how land cover change would impact atmospheric
processes and air quality. The weeklong simulations demonstrate the
noticeable differences in soil moisture/temperature, latent/sensible heat
flux, PBL height, wind, NO2/ozone, and PM2.5 air quality. These
discrepancies can be traced to associate with the land cover properties,
e.g., stomatal resistance, albedo and emissivity, and roughness
characteristics. It also implies that the rapid urban growth may have
complex air quality implications with reductions in peak ozone but more
frequent high ozone events. |
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