Online ISSN: 2515-8260

CUSTOMIZATION OF WEATHER RESEARCH FORECAST (WRF) MODEL BY CONDUCTING THE NUMERICAL SIMULATION ANDSENSITIVITY EXPERIMENT OF PBL SCHEMES OVER GURUGRAM

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Neelam Sharma1&2 , Rahul Boadh1* and Ravendra Singh1

Abstract

The present study has been conducted for analysis the performance of five dissimilar Planetary Boundary Layer (PBL) parameterizations schemes [Mellor-Yamada-Janjic (MYJ), Mellor-Yamada-Nakanishi-Niino (MYNN), Asymmetric Convective Model (ACM2), Yonsei University (YSU) and Quasi Normal Scale Elimination (QNSE)] in the WRF model (version 4.1) over a tropical site Gurugram (28.4595° N, 77.0266° E). January (winter), April (summer), August (monsoon) and November (post monsoon) have been used as season’s representative month in the present study according to India Meteorological Department (IMD). The five days (12-17, 2017) in each study month have beencarefully chosen as non-synoptic activity days (clear weather days) for reproduction and identification of vertical variables as well as meteorological variables from WRF with high resolution (3 km in inner most domain) and 31 vertical levels. For the model validation, the meteorological variables observation during the study period collated from near airport station and upper radiosonde observations obtained from University of Wyoming (http://weather.uywo.edu/upperair/sounding.html).After carefully examination, it has been originated that many parameters well performed by YSU and YSU followed by MYJ and ACM2 schemes produced better comparisons with observations.A statistical investigationcreatedby using four different errors methods such as correlation coefficient, mean bias, root mean square and mean bias exposedfinestpresentation of YSU tracked by MYJ and ACM2 schemesfor integrating various vertical thermal structure parameters over Gurugram. Within the restrictions, this study advised that YSU trailed by one non-local ACM2 and one local MYJ schemes PBL turbulent dispersal parameterizations of weather research model are suitable over Gurugram.

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