logging in or signing up Wang Guiling Natalia Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINTLite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 39 Category: Entertainment License: All Rights Reserved Like it (0) Dislike it (0) Added: October 11, 2007 This Presentation is Public Favorites: 0 Presentation Description No description available. Comments Posting comment... Premium member Presentation Transcript Study on MODIS Data and Characteristic of Urban Boundary LayerWang GuilingDepartment of Atmospheric Science, Nanjing UniversityJune 12,2004: Study on MODIS Data and Characteristic of Urban Boundary Layer Wang Guiling Department of Atmospheric Science, Nanjing University June 12,2004 Slide2: 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 Problems in the Research: Problems in the Research Urban heterogeneous surface Complex interaction via the surface and /or atmosphere Sparse meteorological stations in urban areaSlide5: 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. Purpose of the ResearchMulti-scale meteorology and pollutant dispersion model system: Multi-scale meteorology and pollutant dispersion model system Urban scale Urban subdomain scale Regional scale Urban canyon scaleSlide7: Height of terrainSlide8: 3D wind fields in winterSlide9: 3D wind fields in summerSlide10: Surface temperature in winterSlide11: Surface temperature in summerSlide12: Pollutant concentration in summerSlide13: Pollutant concentration in winter Surface Variable Data from MODIS: 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.Slide15: Surface Reflectance in Yangtse DeltaSlide16: Surface Temperature in Yangtse DeltaSlide17: NDVI in Nanjing AreaSlide18: Landcover in Yangtse DeltaSlide19: 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.Validation of Surface Temperature: Validation of Surface Temperature Difference between surface temperatures from MODIS and AWSFurther Work: 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 You do not have the permission to view this presentation. In order to view it, please contact the author of the presentation.
Wang Guiling Natalia Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINTLite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 39 Category: Entertainment License: All Rights Reserved Like it (0) Dislike it (0) Added: October 11, 2007 This Presentation is Public Favorites: 0 Presentation Description No description available. Comments Posting comment... Premium member Presentation Transcript Study on MODIS Data and Characteristic of Urban Boundary LayerWang GuilingDepartment of Atmospheric Science, Nanjing UniversityJune 12,2004: Study on MODIS Data and Characteristic of Urban Boundary Layer Wang Guiling Department of Atmospheric Science, Nanjing University June 12,2004 Slide2: 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 Problems in the Research: Problems in the Research Urban heterogeneous surface Complex interaction via the surface and /or atmosphere Sparse meteorological stations in urban areaSlide5: 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. Purpose of the ResearchMulti-scale meteorology and pollutant dispersion model system: Multi-scale meteorology and pollutant dispersion model system Urban scale Urban subdomain scale Regional scale Urban canyon scaleSlide7: Height of terrainSlide8: 3D wind fields in winterSlide9: 3D wind fields in summerSlide10: Surface temperature in winterSlide11: Surface temperature in summerSlide12: Pollutant concentration in summerSlide13: Pollutant concentration in winter Surface Variable Data from MODIS: 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.Slide15: Surface Reflectance in Yangtse DeltaSlide16: Surface Temperature in Yangtse DeltaSlide17: NDVI in Nanjing AreaSlide18: Landcover in Yangtse DeltaSlide19: 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.Validation of Surface Temperature: Validation of Surface Temperature Difference between surface temperatures from MODIS and AWSFurther Work: 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