Volume No. 8 Issue No.: 3A Page No.: 717-725 Jan-Mar 2014

 

WRF MODEL SENSITIVITY ANALYSIS OF METEOROLOGICAL PREDICTIONS BY COMBINATION OF PBL AND LSM PARAMETERIZATION SCHEMES OVER NATIONAL CAPITAL REGION, DELHI, INDIA

 

Sindhwani Rati* and Goyal P.

Centre for Atmospheric Sciences, Indian Institute of Technology Delhi, Hauz Khas, New Delhi (INDIA)

 

Received on : September 20, 2013

 

ABSTRACT

 

Three-dimensional atmospheric models have become important tools for accurate prediction of meteorological variables, which play a very crucial role in understanding in regional air quality. A sensitivity analysis has been performed over National Capital region (NCR) Delhi (India) using Weather Research and Forecasting model (version 3.2) for the surface air meteorological parameters for summer and winter season. Suite of sensitivity experiments were conducted with three different Planetary Boundary Layer (PBL) schemes and three Land Surface Models (LSM). The best combination of PBL and LSM suited for the region has been determined. Comparison between simulated and observed data was carried out through statistical measures. The combination of Pleim-Xiu LSM, Pleim surface layer scheme and Asymmetric Convective Model (ACM2) PBL scheme has been found to produce better estimates for temperature and relative humidity. Wind speed is observed best for Noah-Yonsei University (YSU) combination. In overall, the study shows that WRF model performs well for the national capital region.

 

Keywords : WRF model, Parameterization schemes, Temperature, Wind speed, Forecasting model

 

 

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