Abstract
The present study evaluates different physical parameterization schemes available in Weather Research and Forecasting model version 3.8 (WRF-ARW) over the Angul-Talcher region of Odisha state in India. Sensitivity analysis has been carried out for various schemes for planetary boundary layer, microphysics, and radiation in the WRF model, which have not been tested over this Indian region that often experiences extreme heat in summer (> 45 °C) as well as high air pollution. Performance evaluation is based on in situ observations of near-surface temperature, wind speed, and relative humidity during a representative case of peak summer conditions. It was inferred from analysis of several sets of simulations that the combination of GBM PBL scheme, Lin microphysics, and RRTMG radiation scheme performs better for near surface parameters such as temperature at 2 m (overall RMSE of 2.19 °C, in daytime and 2.06 °C in nighttime), relative humidity (RMSE: 20.65%), and wind in comparison to the rest of the combinations. Furthermore, the various schemes were also tested with observed vertical profile of wind speed, temperature, and heat fluxes, to arrive at the overall conclusions of this study.
| Original language | English |
|---|---|
| Pages (from-to) | 1045-1066 |
| Number of pages | 22 |
| Journal | Theoretical and Applied Climatology |
| Volume | 150 |
| Issue number | 3-4 |
| DOIs | |
| State | Published - Nov 2022 |
| Externally published | Yes |
Funding
This study is a part of the project “Heat Island Study in Angul-Talcher Area of Odisha” (HISAT) funded by Odisha State Pollution Control Board (OSPCB), Govt of Odisha, India, via sanction order no. 17785 dated 07.11.2015 under the Climate Change Action Plan of State of Odisha. OSPCB is also acknowledged for assistance in data generation through the field campaign required for model validation in the present study. We are thankful to the staff of Visiontek Consultancy Services Private Limited (VCSPL), Bhubaneswar, Odisha, for assistance in the field campaign. The assistance of Project Scientist of Centre for Atmospheric Sciences, IIT Delhi, namely, Dr. Preeti Gunwani, is also appreciated. The authors acknowledge High Performance Computational (HPC) facility provided under DST FIST (Fund for Improvement of Science and Technology Infrastructure) 2014 Projects at Centre for Atmospheric Sciences, IIT Delhi.