||Different landuse datas not only affect the land surface energybudget, but also have a significant effect on regional weather simulation.This study will explore how different land usage has an effect on regional|
weather simulation. There are three kinds of landuse data — U.S.Geological Survey(USGS), Moderate Resolution Image
Spectroradiometer (MODIS), and NCU. There are obvious differences between this three kinds of landuse data. MODIS’s urban area is much larger than the other two, mostly in the north, west coast, and southwest of
Taiwan. NCU is basically in Taipei, I-Lan, west, and southwest. There are nearly non-urban areas in USGS, the main category is irrigated land.
In the temperature simulation, the MODIS area of high temperature is the largest, because the urban area of MODIS is the largest. The biggest
temperature difference of ocean and land leads to the steep gradients, so land-sea breeze is strongest. The temperature of USGS is lowest because it is lack of urban areas, so the land-sea breeze is the mildest. As a result, the strongest wind of MODIS transports the most vapor to the Taipei Basin. NCU is the second, and USGS is the least. As the strongest land-sea breeze, the ascending motiom of MODIS in the Taipei Basin is the most intense. NCU is second, and USGS is the mildest. With all factors, these three afternoon convections simulation are different.
The sensitivity experiment is divided into two parts, terrain height and antropogenic heaeting. When remove Yangming mointain, the wind field simulations with three landuse datas have same trend. Without terrain
block, wind direction change from northeast and northwest to north. Because that, north wind bring more moisture to Taipei area and cause heavy rain. When turn on urban canopy model, set antropogenic heating at
200w/m2 and 400w/m2. MODIS and NCU have significant influence, but USGS does not.Because antropogenic heating work on urban area. USGS are lack of urban area, so it doesn’t have significant influence.
||曹嘉宏，2007:台灣土地利用型態對 MM5 模擬局部環流之影 |
Cotton, W. R., and R. A. Pielke, 1996: Human impacts on
weather and climate. Cambridge University Press,
Chen, F., and J. Dudhia, 2001: Coupling an advanced land
surface– hydrology model with the Penn State–NCAR MM5
modeling system. Part I: Model implementation and
sensitivity. Mon. Wea. Rev., 129, 569–585
Chen, C. S, Y. L. Chen, 2003: The rainfall
characteristics of Taiwan. Mon. Wea. Rev, 131, 1323–
Chen, G. T. J., and H. C. Chou, 2006: A summertime
severe weather event occurring in the Taipei Basin.
TAO, 17, 3–22.
Chen, T. C, S. Y. Wang, and M. C. Yen, 2007: Enhancement
of afternoon thunderstorm activity by urbanization in a
valley:Taipei. J. Appl. Meteor, 46,1324–1340,
Cheng, F. Y., Y. C. Hsu, P. L. Lin, and T. H. Lin, 2013: Investigation
of the Effects of Different Land Use and Land Cover Patterns on
Mesoscale Meteorological Simulations in the Taiwan Area.
J.Appl. Meteor. Climatol., 52, 570–587
Cheng, F. Y., Y. C. Hsu, P. L. Lin, and T. H. Lin, 2013:
Investigation of the Effects of Different Land Use and
Land Cover Patterns on Mesoscale Meteorological
Simulations in the Taiwan Area. J.Appl. Meteor.
Climatol., 52, 570–587
Dudia, J., 1989: Numerical study of convection observed
during the winter monsoon experiment using a mesoscale
two-dimensional model. J. Atmos. Sci., 46, 3077-3107.
Hong, S.-Y., and H. L. Pan, 1996: Nonlocal boundary layer
vertical diffusion in a medium-range forecast model.
Mon. Wea. Rev., 124, 2322 – 2339.
Kain, J. S., and J.M. Fritsch, 1990: A one-dimensional
entraining/detraining plume model and its application
in convective parameterization. J. Atmos. Sci., 47,
Lin, C-Y., W. C. Chen, Shaw. C. Liu, Y. A. Liou, G.R.
Liu, T.-H. Lin, 2008b: Numerical study of the impact of
urbanization on the precipitation over Taiwan,
Atmospheric Environment, 42, 2934- 2947.
Lin, C. Y., F. Chen, J. C. Huang, W.-C. Chen, Y. A. Liou,
W. N. Chen, and S. C. Liu, 2008: Urban heat island
effect and its impact on boundary layer development
andland–sea circulation over northern Taiwan. Atmos.
Environ., 42, 5635–5649
Lim, K.-S. S., and S. Y. Hong, 2010: Development of an
effective double-moment cloud microphysics scheme with
prognostic cloud condensation nuclei (CCN) for weather
and climate models. Mon. Wea. Rev., 138, 1587–1612.
Lin C. Y., W. C. Chen, P. L. Chang, and Y. F. Sheng,
2011: Impact of The urban heat island effect on
precipitation over a complex geographic environment in
northern Taiwan. J. Appl. Meteorol. Climatol., 50, 339–
Lin, P. F., P. L. Chang, B. J. D. Jou, J. W. Wilson, and
R. D. Roberts, 2011:Warm season afternoon thunderstorm
characteristics under weak synoptic- scale forcing over
Taiwan island. Wea. Forecasting, 26, 44–60
Monin, A.S. and Obukhov, A.M. (1954) Basic Laws of
Turbulent Mixing in the Surface Layer of the
Atmosphere. Contrib. Geophys. Inst. Acad. Sci. USSR,
Mlawer, E.J., S.J. Taubman, P.D. Brown, M.J. Iacono, and
S.A. Clough, 1996: Radiative transfer for
inhomogeneous atmospheres: RRTM, a validated
correlated-k model for the longwave, J. Geophys. Res.,