Accurate simulation of meteorological variables is a prerequisite for numerous downstream applications such as air quality modeling and weather forecasting. Weather Research and Forecasting (WRF) model is widely utilized to simulate various prognostic meteorological variables across multiple spatial scales. The suitability of the WRF-v3.9 model in simulation of surface meteorological variables and vertical thermodynamic profile is tested with available in situ surface and radiosonde observations collected from the locations representing rural, semi-urban, and urban environments of the central Indian region. Nested domains with 12 and 4 km grid spacing having 28 vertical layers are set up during the fair weather days of January and March 2018. The model sensitivity is tested by varying two non-local (Yonsei University, YSU and Asymmetric Convective Model, ACM2) and one local (Mellor-Yamada Eta, MY-E) closure Planetary Boundary Layer (PBL) schemes. Results indicate that no particular PBL scheme simulates best for all meteorological variables at different land uses. Overall, thermodynamic variables (temperature and relative humidity) are more accurately simulated than the dynamic variables (wind speed and direction). YSU and MY-E schemes have relatively better accuracy in simulating surface temperature in rural and semi-urban locations, while ACM2 performed better in the urban location. MY-E is relatively better in simulating relative humidity and wind speed in rural and semi-urban locations, while it poorly performed in the urban location. The vertical thermodynamic profile is perfectly correlated with radiosonde observations over the urban location during January and with a reasonably good fit during March. The study provides a comprehensive evaluation of boundary-layer meteorological variables simulated by the WRF model in Central India.

气象变量的准确模拟是众多下游应用（如空气质量建模和天气预报）的先决条件。天气研究和预测 (WRF) 模型被广泛用于模拟跨多个空间尺度的各种预测气象变量。WRF-v3.9 模型在模拟地表气象变量和垂直热力学剖面中的适用性通过可用的原位测试从代表印度中部地区农村、半城市和城市环境的地点收集的地面和无线电探空仪观测结果。在 2018 年 1 月和 2018 年 3 月的晴朗天气期间，设置了具有 12 和 4 公里网格间距、28 个垂直层的嵌套域。 通过不同的两个非本地（延世大学，YSU 和非对称对流模型，ACM2）测试模型灵敏度和一个本地（Mellor-Yamada Eta，MY-E）闭合行星边界层（PBL）方案。结果表明，对于不同土地利用的所有气象变量，没有任何特定的 PBL 方案能够模拟最佳。总的来说，热力学变量（温度和相对湿度）比动态变量（风速和风向）更准确。YSU 和 MY-E 方案在模拟农村和半城市地区的地表温度方面具有相对较好的精度，而 ACM2 在城市地区表现更好。MY-E 在模拟农村和半城市地区的相对湿度和风速方面相对较好，而在城市地区表现不佳。垂直热力学剖面与 1 月份城市位置的无线电探空仪观测完全相关，并且在 3 月份具有相当好的拟合。该研究提供了对印度中部 WRF 模型模拟的边界层气象变量的综合评估。虽然它在城市位置表现不佳。垂直热力学剖面与 1 月份城市位置的无线电探空仪观测完全相关，并且在 3 月份具有相当好的拟合。该研究提供了对印度中部 WRF 模型模拟的边界层气象变量的综合评估。虽然它在城市位置表现不佳。垂直热力学剖面与 1 月份城市位置的无线电探空仪观测完全相关，并且在 3 月份具有相当好的拟合。该研究提供了对印度中部 WRF 模型模拟的边界层气象变量的综合评估。