We adapt a physically-based single-layer urban canopy model (UCM) to study theenergy budget in urban areas. The energy budget scheme in this study is similar to thescheme implemented in the WRF-NOAH urban canopy model, but it is decoupled fromthe Weather Research and Forecasting (WRF) model. Simulations are carried out toquantify the sensitivity of the model to each atmospheric and surface parameter input. Tovalidate and provide accurate inputs to this UCM, several sensing systems are beingdeployed over the Princeton campus through the Sensor Network Over Princeton (SNOP)project. When the deployment is complete, the measured field data will include: (1)surface and air temperatures, longwave and shortwave radiation, soil moisture and soilheat flux using a wireless sensing network and two standard surface energy budgetstations; (2) vertical profile of wind speed and temperature up to 1000 meters using aSODAR/RASS system; and (3) vertical shear stress and heat flux using a scintillometer.The collected data will be used to derive input parameters representative of the campusarea, and to test the model predictions.
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