Abstract
In this study various surface layer parameters, fluxes, and eddy diffusivity profiles have been estimated by making use of routine meteorological data for both unstable and stable conditions. Several empirical relationships for estimating turbulence parameters are tested with data. The estimation schemes are discussed at length for both stability conditions. Routine meteorological observations have been used for the computations of net radiation, sensible heat flux, friction velocity, scaling temperature in the surface layer, Monin–Obukhov length, and eddy diffusivity profiles. These parameters are important and are used for the estimation of input parameters for air quality models for predicting ground-level concentrations. Special emphasis has been given to stable conditions by using recent formulations for turbulence parameters and their verification with data. Two recent schemes have been compared. About 153 h of data have been selected from the field experiments sponsored by the Electric Power Research Institute around the Kincaid Power Plant in 1980–81 for the validation of net radiation, friction velocity, and Monin–Obukhov length. Several statistical techniques have been used to assess the performance of the schemes. Based on the statistical measures, the chosen parameterization schemes are judged to perform well.
Corresponding author address: Dr. Manju Mohan, Center for Atmospheric Sciences, Indian Institute of Technology, Hauz Khas, New Delhi 110016, India.