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3243898 
Journal Article 
Impacts of fine-resolution land use information of Beijing on a summer severe rainfall simulation 
Zhang Chao-Lin; Miao Shi-Guang; Li Qing-Chun; Chen Fei 
2007 
Yes 
Diqiu Wuli Xuebao / Chinese Journal of Geophysics
ISSN: 0001-5733 
50 
5 
1373-1382 
WOS:000249679300012 
Using the land use data around Beijing in 2000 with the
resolution of 500 in, we updated the U. S. Geological Survey global land use classification data
for numerical weather model, in which there are 25 types with 30 s lat-lon equidistant grids
(approximate to 1 km resolution). And then by 24-hour numerical experiments with the MM5V3.6
coupled with Noah LSM system, two domain two-way nested with the resolution of 10:3.3 km, we
investigated the impact of fine-resolution land use information incorporation on a summer severe
rainfall in Beijing. Analyses show that, the new land use data can not only represent better the
real characteristic of underlying surface around Beijing area, especially the rapid expanding of
urban/built-up areas since 1990s,, but also help to correct the unreasonable classification
Savanna in the original USGS data for the middle-latitudes of Asia data as the deciduous
broadleaf. Furthermore, numerical experiments prove that incorporation of the fine-resolution
land use information has a significant impact on the short-range severe rainfall weather event.
For the intensity and location of major rainfall centers, their difference ranges of 12 h
rainfall amount are beyond 30 km, and the relative difference of the maximum rainfall amount
reaches up to 30%. One important interaction mechanism between urban underlying surface and
atmosphere is also revealed, that is, the urban expansion reduces natural vegetation cover, and
then it can help to decrease ground evaporation and local water vapor supply, enlarge surface
sensible heat flux, deepen PBL height and enhance the mixing of water vapor. Hence it is not
conducive to the occurrence of the rainfall. 
land surface physical process; severe rainfall; underlying surface change; numerical weather prediction; urban meteorology