Abstract
The state of Odisha is situated on the eastern coast of India and is highly vulnerable to massive convective activity in the pre-monsoon season (PM), i.e., from March to May; however, there is a scarcity of studies in this context using long-term datasets. Therefore, an in-depth investigation of the variability in convective events and associated rainfall during PM over the state of Odisha has been carried out for the period 2009–2018 using the European Centre for Medium-Range Weather Forecasts (ECMWF) fifth-generation reanalysis (ERA5) datasets. The convective events (severe and moderate) identified using two sets of threshold values of three different convective indices, i.e., convective available potential energy (CAPE), the K Index, and the Total Totals Index, show an increasing trend in recent years, with South Coastal Odisha (SCO) and North Coastal Odisha (NCO) showing the highest increase. Subsequently, the spatial distribution of rainfall suggests that the maximum convective precipitation (CP) is experienced over NCO and adjacent eastern districts of North Interior Odisha (NIO). The spatial distribution of the 2 m temperature suggests that there exists a strong temperature gradient between the western and eastern portions of the state. However, the gradient weakens for the years associated with the anomalous distribution of CP. The distinct tropospheric temperature difference between the lower levels (LL) and upper levels (UL) clearly suggests that the warming (cooling) of LL is associated with high (low) CP over the region. This is further established by the coherent signature of specific humidity. The frozen hydrometeors (cloud ice and snow) are the major facilitators for the occurrence of CP over the study region. The moisture transport (MT) is associated primarily with the anomalous distribution of spatial rainfall. The years with suppressed convective activity have a distinct signature of a negative MT anomaly along with anomalous north-easterly winds (as against the typical south-westerly flow). It is also demonstrated that the anomalous MT scenario is highly modulated by the land–sea temperature contrast over the region.
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References
Baisya, H., Pattnaik, S., Hazra, V., Sisodiya, A., & Rai, D. (2018). Ramifications of atmospheric humidity on monsoon depressions over the indian subcontinent. Nature Scientific Report, 8, 9927. https://doi.org/10.1038/s41598-018-28365-2
Bharadwaj, P., Singh, O., & Kumar, D. (2017). Spatial and temporal variations in thunderstorm casualties over India. Singapore Journal of Tropical Geography, 38(3), 293–312.
Bhattacharya, A. B., & Bhattacharya, R. (1983). Radar observations of tornadoes and the field intensity of atmospherics. Meteorology and Atmospheric Physics, 32(1–2), 173–179.
Chakrabarti, D., Biswas, H. R., Das, G. K., & Kore, P. A. (2008). Observational aspects and analysis of events of severe thunderstorms during April and May 2006 for Assam and adjoining states—a case study on ‘Pilot STORM project.’ Mausam, 59(4), 461–478.
Chaudhuri, S. (2008). Preferred type of cloud in the genesis of severe thunderstorms—a soft computing approach. Atmospheric Research, 88(2), 149–156.
Das, S., Mohanty, U. C., Tyagi, A., Sikka, D. R., Joseph, P. V., Rathore, L. S., Habib, A., Baidya, S. K., Sonam, K., & Sarkar, A. (2014). The SAARC STORM: a coordinated field experiment on severe thunderstorm observations and regiobal modeling over the South Asian Region. Bulletin of American Meteorological Society, 95(4), 603–617. https://doi.org/10.1175/BAMS-D-12-00237.1
Das, K., Samui, R. P., Kore, P. A., Siddique, L. A., Biswas, H. R., & Barman, B. (2010). Climatological and synoptic aspect of hailstorm and squall over Guwahati Airport during pre-monsoon season. Mausam, 61(3), 383–390.
Dhawan, V. B., Tyagi, A., & Bansal, M. C. (2008). Forecasting of thunderstorms in pre-monsoon season over Northwest India. Mausam, 59(4), 107–111.
George, J. J. (1960). Weather forecasting for aeronautics. Academic Press.
Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., & Thépaut, J-N. (2018). ERA5 hourly data on single levels from 1979 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS).
Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., & Thépaut, J-N. (2019). ERA5 monthly averaged data on single levels from 1979 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS).
Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., & Thépaut, J-N. (2019) ERA5 monthly averaged data on pressure levels from 1979 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS).
Jenamani, R. K., Vashisth, R. C., & Bhan, S. C. (2009). Characteristics of thunderstorms and squalls over Indira Gandhi International (IGI) Airport, New Delhi - impact on environment especially on summer’s day temperatures and use in forecasting. Mausam, 60(4), 461–474.
Khole, M., & Biswas, H. R. (2007). Role of total-totals stability index in forecasting of thunderstorm/non-thunderstorm days over kolkata during pre-monsoon season. Mausam, 58(3), 369–374.
Kunz, M. (2007). The skill of convective parameters and indices to predict isolated and severe thunderstorms. Nat. Haz. Earth Syst. Sci., 7, 327–342.
Laskar, S. I. (2009). Some climatological features of thunderstorms and squalls over Patna airport. Mausam, 60(4), 533–537.
Mahanta, R., & Yamane, Y. (2019). Climatology of local severe convective storms in Assam, India. International Journal of Climatology, 40(2), 957–978. https://doi.org/10.1002/joc.6250
Midya, S. K., Pal, S., Dutta, R., Gole, P. K., Chattopadhyay, G., Karmakar, S., Saha, U., & Hazra, S. (2020). A preliminary study on pre-monsoon summer thunderstorms using ground-based total lightning data over Gangetic West Bengal. Indian Journal of Physics, 95, 1–9. https://doi.org/10.1007/s12648-020-01681-y
Miller, R.C. (1972). Notes on Analysis and Severe Storm Forecasting Procedures of the Air Force Global Weather Control (AFGWC). Tech. Rep. 200 (Rev) Air Weather Services, U.S. Air Force.
Mohapatra, M., Koppar, A. L., & Thulasi Das, A. (2004). Some climatological aspects of thunderstorm activity over Bangalore City. Mausam, 55(1), 184–189.
Nayak, H. P., & Mandal, M. (2014). Analysis of stability parameters in relation to precipitation associated with pre-monsoon thunderstorms over Kolkata India. Journal of Earth System Science, 123(4), 689–703.
Neelin, J. D. (1997). Implications of Convective Quasi-equilibria for the Large-scale Flow. In R. K. Smith (Ed.), Physics and parameterization of moist atmospheric convection (pp. 413–446). Kluwer Academic Publishers.
Rafiuddin, M., Uyeda, H., & Islam, Md.N. (2009). Simulation of Characteristics of Precipitation Systems Developed in Bangladesh during Pre-monsoon and Monsoon. 2nd Int. Con. Water Flood Man. (ICWFM-2009), 61–67.
Ravi, N., Mohanty, U. C., Madan, O. P., & Paliwal, R. K. (1999). Forecasting of thunderstorms in the pre-monsoon season at Delhi. Meteorological Applications, 6, 29–38. https://doi.org/10.1002/met.19996103
Ray, K., Sen, B., Sharma, P. (2016). Monitoring Convective Activity over India During Pre-Monsoon Season-2013 under the SAARC STORM Project. Vayu Mandal., 42(2), 106–128. http://imetsociety.org/wp-content/pdf/vayumandal/2016422/2016422_5.pdf
Roy Bhowmik, S. K., Sen Roy, S., & Kundu, P. K. (2008). Analysis of large scale conditions associated with convection over the indian monsoon region. International Journal of Climatology, 28, 797–821. https://doi.org/10.1002/joc.1567
Schultz, P. (1989). Relationships of several stability indices to convective weather events in Northeast Colorado. Weather and Forecasting, 4, 73–80. https://doi.org/10.1175/1520-0434(1989)004%3c0073:ROSSIT%3e2.0.CO;2
Sen Roy, S., & Sen Roy, S. (2021). Spatial patterns of long-term trends in thunderstorms in India. Natural Hazards, 107, 1527–1540. https://doi.org/10.1007/s11069-021-04644-6
Sisodiya, A., Pattnaik, S., Baisya, H., Bhat, G. S., & Turner, A. G. (2019). Simulation of location-specific severe thunderstorm events using high resolution land data assimilation. Dynamics of Atmosphere and Oceans, 87, 101098. https://doi.org/10.1016/j.dynatmoce.2019.101098
Srinivasan, V., Ramamurthy, K., & Nene, Y.R. (1973). Discussion of Typical Synoptic Weather Situation, Summer Nor’westers and Andhis and Large Scale Convective Activity over Peninsula and Central Parts of the Country. F.M.U. Rep., No. III-2.2, India Meteorological Department.
Suresh, R., & Bhatnagar, A. K. (2005). Pre-monsoon convective environment of pre-monsoon thunderstorms around chennai- a thermodynamical study. Mausam, 56(3), 659–670.
Thompson R. (2006). Explanation of SPC Severe Weather Parameters. Storm Prediction Centre. http://www.spc.noaa.gov/exper/mesoanalysis/help/begin.html
Tyagi, B., & Satyanarayana, A. N. V. (2010). Modeling of soil surface temperature and heat flux during pre-monsoon season at two tropical stations. Journal of Atmosphere and Solar-Terrestrial Physics, 72(2–3), 224–233. https://doi.org/10.1016/j.jastp.2009.11.015
Tyagi, B., Naresh Krishna, V., & Satyanarayana, A. N. V. (2011). Study of thermodynamic indices in forecasting pre-monsoon thunderstorms over Kolkata during STORM Pilot Phase 2006–2008. Natural Hazards, 56, 681–698. https://doi.org/10.1007/s11069-010-9582-x
Tyagi, B., & Satyanarayana, A. N. V. (2019). Assessment of difference in the atmospheric surface layer turbulence characteristics during thunderstorm and clear weather days over a tropical station. SN Applied Sciences, 1(8), 909. https://doi.org/10.1007/s42452-019-0949-7
Acknowledgements
The authors are grateful to the Indian Institute of Technology Bhubaneswar for providing the infrastructure to carry out this research. The authors acknowledge the financial support provided by the University Grants Commission (UGC). The authors are indebted to the Scientific and Engineering Research Board (SERB) for providing support for this work. The authors are also thankful to the Odisha State Government for providing the district-wise rainfall datasets. The plots shown in this study are made with MATLAB 2017b (www.mathworks.com), and the algorithms are available on request to the corresponding author.
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Chakraborty, T., Pattnaik, S., Vishwakarma, V. et al. Spatio-Temporal Variability of Pre-monsoon Convective Events and Associated Rainfall over the State of Odisha (India) in the Recent Decade. Pure Appl. Geophys. 178, 4633–4649 (2021). https://doi.org/10.1007/s00024-021-02886-w
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DOI: https://doi.org/10.1007/s00024-021-02886-w