Abstract

The current study addresses the role of heat and moisture emitted from anthropogenic sources on the local weather with the aid of numerical weather prediction (NWP). The heat and moisture emitted by industries to the atmosphere are considered main sources in this study. In order to understand the effect of heat and moisture on local weather, the study is conducted to capture the impact of heat with no moisture change. The results are compared against a control run case without perturbation and also against the case where both heat and moisture are perturbed with temperature as a single parameter. The Angul district in Odisha that houses over 4000 industries is considered our study region. The numerical simulations are performed using the mesoscale Weather Research and Forecasting (WRF) model for two rain events, namely a light rain case and a heavy rain case, with different physics options available in the WRF model. The WRF simulated maximum rainfall rate using various microphysics schemes are compared with the Tropical rainfall measuring mission (TRMM) observations for validation purposes. Our study shows that the WDM6 double moment microphysics scheme is better in capturing rain events. The TRMM-validated WRF simulation is considered a reference state of the atmosphere against which comparisons for the perturbed case are made. The surface temperature is perturbed by increasing it by 10 K near the industrial site and exponentially decreasing it with height up to the atmospheric boundary layer. A numerical experiment represents heating without addition of moisture by recalculating the relative humidity (RH) corresponding to the perturbed temperature. The perturbed temperature affects sensible heat (SH) and latent heat (LH) parameters in the numerical experiment. From the results of the numerical investigation, it is found that the near-surface rainfall rate increases locally in a reasonable manner with the addition of sensible heat to the atmosphere. A comparison against the case where moisture is added shows that enhanced rainfall is more sensitive to sensible and latent heat than sensible heat alone.

Highlights

  • Climate variability due to increased anthropogenic emissions is receiving considerable attention worldwide nowadays

  • The work is further extended for two different rain events and the microphysics of rain formation

  • In the first part, perturbed atmospheric parameters such as water vapour mixing the first part, perturbed atmospheric parameters such as water vapour mixing ratio, ratio, rain rate and flow pattern are compared with a Tropical rainfall measuring mission (TRMM)-validated control run case

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Summary

Introduction

Climate variability due to increased anthropogenic emissions is receiving considerable attention worldwide nowadays. Anthropogenic emission mainly includes heat, moisture, pollutants and gases, affecting the precipitation rate by modifying cloud microphysics. The extent of anthropogenic emission synchronously increases anthropogenic heating (AH) due to increased industrial and commercial activity, the burning of fossilised fuel, an increase in electric energy consumption, waste heat from vehicles and human metabolism [1,2]. Apart from AH, rapid changes in a region’s land use/land cover (LULC) results in a temperature rise. Some of the anthropogenic sources emit moisture/water vapour along with heat. Anthropogenic emission (with AH and moisture) under certain meteorological conditions can affect the weather locally

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