Analysis of various thermodynamic instability parameters and their association with the rainfall during thunderstorm events over Anakapalle (Visakhapatnam district), India

Acta Geophysica

article

Umakanth, N.¹  Satyanarayana, G. Ch.¹  Simon, B.²  Rao, M. C.³  Kumar, M. Tanooj⁴  Babu, N. Ranga⁵ 

[1]Department of Atmospheric Science, Koneru Lakshmaiah Education Foundation

[2]Space Applications Centre (SAC)

[3]Department of Physics, Andhra Loyola College

[4]Department of CSE, Dhanekula Institute of Engineering and Technology

[5]Department of English, Andhra Loyola College

关键词: Rainfall;    Deep convective index;    Humidity index;    Upper vertical velocity;   

DOI  :  10.1007/s11600-020-00478-1

学科分类：地球科学(综合)

来源: Polska Akademia Nauk * Instytut Geofizyki

【 摘 要 】

Thunderstorm events usually take place in cumulonimbus clouds which are complemented with intense rainfall and high-speed winds. In general, rainfall parameter has massive significance when compared to other parameters. In this paper, a group of thunderstorm-related stability parameters were analyzed for pre-monsoon season only. Later, we also tried to study the association between thunderstorm-related stability parameters and rainfall parameter in pre-monsoon season over Anakapalle (Visakhapatnam district) during 2001–2010. We have utilized ERA-Interim ECMWF reanalysis daily datasets for this study. We also tried to compare IMD thunderstorm occurrence days with NOAA CPC-calculated rainfall days in pre-monsoon season over Anakapalle region for every year during 2001–2010. Out of those parameters, upward vertical velocity, convective available potential energy, K-index (KI), humidity index and total totals index parameters have shown good thresholds supporting the rainfall activity during pre-monsoon season. Later, we have also attempted the prediction of DCI and KI parameters over Anakapalle region using artificial neural network (ANN) and auto-regressive moving average (ARMA) techniques. In comparison between the two techniques, ANN technique has shown good correlation with ERA-Interim ECMWF reanalysis data.

【 授权许可】

Unknown