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Evaluating different lightning parameterization schemes to simulate lightning flash counts over Maharashtra, India

Mohan, GM and Gayatri Vani, K and Hazra, A and Mallick, C and Chaudhari, HS and Pokhrel, S and Pawar, SD and Konwar, M and Saha, SK and Das, SK and Deshpande, S and Ghude, S and Barth, MC and Rao, SA and Nanjundiah, RS and Rajeevan, M (2021) Evaluating different lightning parameterization schemes to simulate lightning flash counts over Maharashtra, India. In: Atmospheric Research, 255 .

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Official URL: https://doi.org/10.1016/j.atmosres.2021.105532


Thunderstorms source of lightning discharge is a major hazard to humans. In India, the loss of human life due to thunderstorms is high because of frequent lightning during pre-monsoon season (March-May). Therefore, simulation of lightning flash counts based on various lightning parameterization schemes and Lightning Potential Index (LPI) in Weather Research and Forecasting (WRF) model are evaluated over Maharashtra, India. The offline diagnostic methods for calculating lightning flashes are also evaluated from the model generated storm parameters. The observation from Maharashtra Lightning Detection Network (LDN) is used to validate the simulated total lightning flash for four events. The lightning flashes calculations by following Price and Rind (1992) based on cloud top height (PR92CTH) and vertically integrated ice water path (IWP) simulated the spatial pattern comparably well. The lightning parameterization based on cloud top height defined by the radar reflectivity factor threshold of 20 dBZ (DLP2) has performed better as compared to observation. The results show (i) better spatial pattern and frequency distribution of lightning flashes, (ii) accumulated rainfall, maximum reflectivity and time evolutions are in good agreement with flashes, (iii) correlation between simulated flash and hydrometeors are higher, (iv) the number of matching grid boxes due to randomness is also higher, 74.9, 56.5, 68.1 and 82.7 of matching grid boxes for the four cases and (v) the results based on LPI are also in consistent with the results of DLP2. The study highlights the robustness of DLP2 and indicates a promising future for the operational forecast of lightning prediction. © 2021 Elsevier B.V.

Item Type: Journal Article
Publication: Atmospheric Research
Publisher: Elsevier Ltd
Additional Information: The copyright for this article belongs to Elsevier Ltd.
Keywords: Lightning protection; Parameterization; Reflection; Thunderstorms, Accumulated rainfall; Frequency distributions; Lightning detection; Lightning parameterization; Operational forecasts; Radar reflectivity factor; Simulation of lightnings; Weather research and forecasting models, Weather forecasting, hazard assessment; lightning; parameterization; prediction; spatial data; thunderstorm; weather forecasting, India; Maharashtra
Department/Centre: Division of Mechanical Sciences > Centre for Atmospheric & Oceanic Sciences
Date Deposited: 20 Feb 2023 11:37
Last Modified: 20 Feb 2023 11:37
URI: https://eprints.iisc.ac.in/id/eprint/80440

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