Table of Contents
International Journal of Atmospheric Sciences
Volume 2014, Article ID 451578, 9 pages
http://dx.doi.org/10.1155/2014/451578
Research Article

Evaluation of Parameterization Schemes in the WRF Model for Estimation of Mixing Height

1Radiation Safety Systems Division, Bhabha Atomic Research Centre, Mumbai 400 085, India
2Centre for Atmospheric Sciences, Indian Institute of Technology Delhi, New Delhi 110 016, India
3Health Safety and Environment Group, Bhabha Atomic Research Centre, Mumbai 400 085, India

Received 22 October 2013; Revised 14 January 2014; Accepted 14 January 2014; Published 26 February 2014

Academic Editor: Daiwen Kang

Copyright © 2014 R. Shrivastava et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

This paper deals with the evaluation of parameterization schemes in the WRF model for estimation of mixing height. Numerical experiments were performed using various combinations of parameterization schemes and the results were compared with the mixing height estimated using the radiosonde observations taken by the India Meteorological Department (IMD) at Mangalore site for selected days of the warm and cold season in the years 2004–2007. The results indicate that there is a large variation in the mixing heights estimated by the model using various combinations of parameterization schemes. It was seen that the physics option consisting of Mellor Yamada Janjic (Eta) as the PBL scheme, Monin Obukhov Janjic (Eta) as the surface layer scheme, and Noah land surface model performs reasonably well in reproducing the observed mixing height at this site for both the seasons as compared to the other combinations tested. This study also showed that the choice of the land surface model can have a significant impact on the simulation of mixing height by a prognostic model.