Comparative study of lightning climatology and the role of meteorological parameters over the Himalayan region

https://doi.org/10.1016/j.jastp.2020.105527Get rights and content

Highlights

  • We investigated the lightning activities over Himalayas on decadal scale.

  • Satellite based observations were used as the primary source of data.

  • Of all the parameters, the relative humidity is found to play the major role on lightning activities over the Himalayas.

Abstract

Lightning activities are distributed asymmetrically over the globe. Satellite images show that the Himalayan region is one of the prone zones of lightning activity. We do not understand such an uneven distribution of lightning activities as of today. To elaborate on the present-day understanding of lightning flashes over the Himalayan region, we have analyzed various atmospheric factors in association with Lightning Flash Density (LFD). For this purpose, we divided the Himalayan Range into three sections, namely, eastern, middle, and the western Himalayas. We explored the possible association of monthly mean Convective Available Potential Energy (CAPE), Surface Air Temperature (SAT), thermodynamic temperature of the top of the cloud; Cloud Top Temperature (CTT), Relative Humidity (RH), and Specific Humidity (SH) with LFD over the three sections of the Himalayan range. We observed that CAPE and SAT play a vital role in creating instability over that region. In contrast, moderate moisture (i.e., RH) is the most suitable condition for lightning activities over all three sections. The analysis shows that 50–60% RH at 700hpa is the most favorable condition for lightning over the Himalayan region.

Introduction

Satellite images of lightning activities show that the Himalayan region is one of the world's lightning prone areas (https://ghrc.nsstc.nasa.gov/lightning/data/data_lis_trmm.html). Due to the topology, varied surface temperature, moisture, and atmospheric circulation, lightning flash density (LFD) over this region have a tremendous spatiotemporal variability. From the pre-South-East monsoon study during 2012 over Nepal, we observe the peak in the lightning flash count (LFC) to be maximum in June (Makela et al., 2014). The variation of lightning activity over the Northeastern part of the Himalayan region is semiannual with primary maxima during April. But the similar maxima occurs during July in the North-West region (Penki and Kamra, 2013). The fundamental reason behind this variation of lightning activity was an unanswered question. In this paper, we analyzed the role of moisture (in terms of relative humidity) and other meteorological parameters on lightning activity and also explained the significant influence of RH over the lightning generation process.

The scientific community has proposed several theories of the cloud electrification mechanism and separation of charges within the clouds. However, the most significant cloud electrification approach is the graupel-ice mechanism. Collisions produce electric charges between precipitation particles (graupel) and cloud particles or small ice crystals (Rakov and Uman, 2003; Hobbs and Burrows, 1966; Takahashi, 1978; Saunders and Peck, 1998). The action of gravity is mainly responsible for separating the charged particles (Rakov and Uman, 2003). The significant impact of CAPE on LFD recently been observed by (Qie et al., 2020). The decrease of the CAPE could exert the most considerable effect on decreasing the LFD trend on Southern North America (SENA), Central South America (CSA), and Eastern Australia (EA) (Qie et al., 2020). Dewan et al. (2018) observed the positive influence of CAPE on the lightning activity positively. It is a well established fact that Convective Available Potential Energy, creates instability in the atmosphere, causes updrafts and supports electrification and charge separation within the clouds. A good relationships with total lightning activity (r = 0.93) was observed if updraft volume in the charging zone (at temperatures colder than −50C) with vertical velocities greater than either 5 or 10 m/s (Deierling and Petersen,2008). High lightning activity is related to CAPE's high value over Greece (Mazarakis et al., 2008). A high correlation of lightning flashes and CAPE over Maharashtra, India has been observed by Tinmaker et al. (2015); whereas, the relationship between LFC and CAPE has not been observed consistent in different regions of India (Siingh et al., 2014). Zheng et al. (2016) studied the sensitivity of lightning with CAPE and showed that lightning is more sensitive to CAPE over land than offshore water. A good correlation coefficient between LFC with CAPE and surface temperature over Northeast India was observed by (Guha et al., 2017).

Pinto and Pinto (2008) studied the sensitivity of lightning cloud-to-ground (CG) activity with the surface air temperature daily, monthly, yearly, and decadal time scale. Pinto and Pinto (2008) found a sensitivity of 40% per 10C at daily and monthly timescales and 30% sensitivity per 10C at decadal timescales. The lightning sensitivity of the order of 10% per 10C has been observed by Williams (1994) that further supports the positive correlation between lightning activity and surface temperature for the annual and semiannual timescale. Ming et al. (2005) and Saha et al. (2019) derived the positive response of the surface air temperature (SAT) on the lightning flash rate for inter-annual and seasonal timelines. In the monthly time scale, from May to September via pre-monsoon cooling of 10C in maximum SAT reduces approximately 3.5 thunderstorms per station and 73 flashes (Nath et al., 2009). The correlation between change in global monthly land wet-bulb temperature with lightning activity is strongest over the northern hemisphere and weak in the southern hemisphere (Reeve and Toumi, 1999). A 10C rise in temperature increases 20–44% lightning flash density over the land mass Indian region (Kandalgaonkar et al., 2005).

For years, the effect of relative humidity (RH) on lightning became one of the burning issues in atmospheric electricity research. Ya-Jun et al. (2006) have observed that higher RH results in more lightning activity in dry regions, whereas less lightning activity in wet areas. Reeve and Toumi (1999) indicate the necessity of a high land-area to sea-area ratio for a good correlation between lightning activity and land wet-bulb temperature. But the complete understanding of the effect of RH on lightning is still lacking. The role of cloud base height and associated cloud top temperature on the lightning flash is critical in this regard. Molinie and Jacobson (2004) show an increase of lightning flash density with a decrease in cloud top brightness temperature (CTBT); the temperature of a black body that would emit the same amount of radiation as the targeted body in a specified spectral band when CTBT is less than −550C. An intense condensation process and mass flux during the system's growth phase can provide favorable cloud electrification conditions and lightning (Mattos and Machado, 2011).

In the present research, we have analyzed the role of CAPE, SAT, RH, CTT, and precipitation on lightning activity in different parts of the Himalayas. We selected the regions of investigation as the Eastern Himalayas (240N–280N, 880E-960E), the middle Himalayas (270N–330N, 780E-880E), and the Western Himalayas (300N–360N, 680 E−780E). We describe the study region and its topology in Fig. 1a. The lightning density map, NDVI index map, and precipitation map are illustrated in Fig. 1b, 1c, and 1d, respectively. The middle Himalayas contains high hills and mountains followed by Western Himalayas, and the Eastern Himalayas has the least elevation.

Section snippets

Data

We used Tropical Rainfall Measuring Mission (TRMM) Lightning Imaging Sensor (LIS) observation 0.1° very high-resolution gridded lightning monthly climatology (VHRMC) data to compute the seasonal variation of lightning density over the Himalayan region. LIS is a space-based instrument onboard the Tropical Rainfall Measurement Mission (TRMM) satellite to observe the distribution and variability of total lightning (cloud-to-cloud, intra-cloud, and cloud-to-ground lightning) within the tropical

Methodology

In the present study for the comparative analysis, lightning flashes detected by LIS are used. To find the influence of others meteorological parameters on LFD orbital track flashes are used. The analysis is performed in two steps. Monthly variation of all meteorological parameters over selected region is plotted and the correlation of meteorological parameters on LFD is calculated through scatter plot. The role of moisture on the inconsistent dependency of LFD on meteorological parameters

Results

We introduce a comparative analysis of LFD over the three Himalayan regions in Fig. 2a. In the Eastern Himalayas, the variation of LFD is a semiannual character. The maximum LFD occurs during the pre-monsoon, followed by the second enhancing tendency during the post-monsoon. The primary maxima of LFD during pre-monsoon occur in April. During the post-monsoon, a secondary peak in LFD appears in September.

Over the middle Himalayas, a single peak annual distribution is observed. A progressive

Discussion

The Himalayan region is characterized by topographic heterogeneity and land-use variability with a significant variation in regional climate patterns. NDVI index over the Eastern Himalayas is higher, followed by the Western Himalayas, and the Middle Himalayas has the least NDVI index. The Middle Himalayas cover higher mountains, followed by the Western Himalayas. LFD is closely associated with the low land area and hilly regions than higher Mountains. In the western part of the Himalayan belt,

Concluding remarks

The lightning density over the Himalayan belt has significant heterogeneity. Higher lightning density in the Western Himalayas than the Eastern Himalayas is perceived during monsoon and post-monsoon, whereas a reverse phenomenon is observed during pre-monsoon. The Middle Himalayas is the least lightning zone among the three. The derived dependency of LFD on several meteorological parameters (i.e., CAPE, SAT, RH, and SH) in terms of the correlation coefficient shows that LFD positively

Declaration of competing interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgments

The authors are thankful to the Global Hydrology and Climate Center Lightning Research Team at National Aeronautics and Space Administration (NASA) Marshall Space Flight Center for providing the Lightning Imaging Sensor (LIS) data and National Oceanic and Atmospheric Administration (NOAA) for providing Convective Available Potential Energy (CAPE) and NOAA-NCEI (National Centers for the Environmental Information) for topography data. We are also thankful to Goddard Earth Sciences Data and

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