Study on MODIS Data and Characteristic of Urban Boundary Layer Wang Guiling Department of Atmospheri

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Study on MODIS Data and Characteristic of Urban
Boundary LayerWang GuilingDepartment of
Atmospheric Science, Nanjing UniversityJune
12,2004
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• Introduction of multiscale meteorology and
  dispersion of pollutant model system developed by
  our lab
• Estimate the urban effect to the model system
  with the aid of remote sensing data
• Further work in future

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Problems in the Research

• Urban heterogeneous surface
• Complex interaction via the surface and /or
  atmosphere
• Sparse meteorological stations in urban area

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Purpose of the Research

• To provide the structure of ABL(atmospheric
  boundary layer) in the urban region with the
  remote sensing measurements
• To quantitatively gauge urban surface to the
  overall urban effect in the mesoscale processes
  for momentum and heat transports
• To derive a better scientific understanding of
  how landcover changes associated with
  urbanization in the area.

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Multi-scale meteorology and pollutant dispersion
model system
Urban scale
Urban subdomain scale
Regional scale
Urban canyon scale
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Height of terrain
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3D wind fields in winter
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3D wind fields in summer
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Surface temperature in winter
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Surface temperature in summer
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Pollutant concentration in summer
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Pollutant concentration in winter
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Surface Variable Data from MODIS

• The distribution characteristic of surface
  heat fluxes in urban heterogeneous landscape can
  be simulated.The results will be validated
  through remote sensing observation data.
• Five surface variables are needed include
  surface albedo ,surface temperature, NDVI , LAI
  ,landcover in the research.

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Surface Reflectance in Yangtse Delta
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Surface Temperature in Yangtse Delta
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NDVI in Nanjing Area
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Landcover in Yangtse Delta
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• The values are also in grid form. There are 17
  landcover classifications. The details are water
  0 , evergreen needle leaf forest 1 ,evergreen
  broadleaf forest 2 , deciduous needle leaf forest
  3 ,deciduous broadleaf forest 4 , mixed forests 5
  , closed shrub land 6 , open shrub lands 7 ,woody
  savannas 8 , savannas 9 , grasslands 10 ,
  permanent wetlands 11,croplands 12, urban and
  built-up 13 , cropland/natural vegetation mosaic
  14,snow and ice 15 , barren or sparsely vegetated
  16.

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Validation of Surface Temperature
Difference between surface temperatures from
MODIS and AWS
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Further Work

• To validate more remote sensing data with field
  observation
• To quantitatively gauge urban surface to the
  overall urban effect in the mesoscale processes
  for momentum and heat transports through time at
  nested spatial scales from local to regional
• To model the relationship between urban growth,
  land cover change, the development of the urban
  heat island phenomenon,and urban polluting
  property

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Thank you!