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A FEDERATED PARTNERSHIP FOR URBAN METEOROLOGICAL AND AIR QUALITY MODELING
Citation:
Williams, D J. AND J.K S. Ching. A FEDERATED PARTNERSHIP FOR URBAN METEOROLOGICAL AND AIR QUALITY MODELING. Presented at American Meteorological Society Fifth Symposium on the Urban Environment, Vancouver, BC, Canada, August 23-27, 2004.
Impact/Purpose:
Our research objectives are to: (a) develop new methods using satellite remote sensor data for the rapid characterization of LC condition and change at regional to national scales; (b) evaluate the utility of the new NASA-EOS MODIS (Moderate Resolution Imaging Spectrometer) leaf area index (LAI) measurements for regional scale application with landscape process models (e.g., biogenic emissions and atmospheric deposition); (c) provide remote sensor derived measurement data to advance the development of the next generation of distributed landscape process-based models to provide a predictive modeling capability for important ecosystem processes (e.g., nutrients, sedimentation, pathogens, etc.); and (d) integrate in situ monitoring measurement networks with UAV and satellite based remote sensor data to provide a continuous environmental monitoring capability.
Description:
Recently, applications of urban meteorological and air quality models have been performed at resolutions on the order of km grid sizes. This necessitated development and incorporation of high resolution landcover data and additional boundary layer parameters that serve to describe the influence of urban morphological structures on the flow, transport and energetic details in urban areas. The task of determining the structure and composition of urban areas has been termed urban morphological analysis. The data requirements for urban morphological parameters for advanaced mecaecale grid models has lead to the generation of very large datasets for urban canaopy parameters (UCPs) used to drive models such as CMAQ/MM5, e.g. Dupont et al, 2004, and Otte et al., 2004.