Delineation of surface energy exchanges variations during thunderstorm and non-thunderstorm days during pre-monsoon season

Tyagi, Bhishma; Satyanarayana, A. N. V.

doi:10.1016/j.jastp.2014.11.010

Cited by 15 publications

(4 citation statements)

References 29 publications

(29 reference statements)

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“…During May, a total of eight rainy days occur. These rainfall events are due to pre-monsoon thunderstorms, which are the rainbearing system for this part of the country during this season [57,58], and the average BLH is 587 m (Fig. 2e).…”

Section: Variation Of Meteorological Parametersmentioning

confidence: 99%

Evaluating the variability, transport and periodicity of particulate matter over smart city Bhubaneswar, a tropical coastal station of eastern India

et al. 2019

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Air pollution has become a matter of concern over Indian mega-cities. In the present study, we analyse the variation of particulate matter (PM) (PM 10 and PM 2.5) over Bhubaneswar (20.18°N, 85.50°E, 45 above MSL), which is a coastal Indian station, and the state capital of Odisha. Variation of meteorological parameters (i.e. air temperature, humidity, wind speed, and wind direction) over the station shows low winds originating and transported mainly from land areas during post-monsoon and winter, and from the Bay of Bengal during pre-monsoon and monsoon seasons. The site, in general, has evident diurnal variations of meteorological parameters and PM, other than monsoon season. In addition to surface observations at the site, 48-h back trajectory calculation by HYSPLIT model and the study employs potential source contribution function analysis for precise identification of the transported pollution areas for different seasons.

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Section: Variation Of Meteorological Parametersmentioning

confidence: 99%

Evaluating the variability, transport and periodicity of particulate matter over smart city Bhubaneswar, a tropical coastal station of eastern India

et al. 2019

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“…Even higher values of around 0.8 are found over northeastern India and the adjoining parts of Bangladesh for pre-monsoon season. These higher AOD values are primarily associated with frequent thunderstorms over the region ( Tyagi and Satyanarayana, 2015 ), allowing the polluted air masses to uplift vertically and increasing the overall AOD values ( Ramachandran and Rupakheti, 2021 ). IGP is the region of high concentration of other pollutants (NO X , CO and O 3 ) as well for both annual and seasonal variations ( Ghude et al., 2008 ; Kar et al., 2010 ; Yang et al., 2017 ; Rupakheti et al., 2018 ).…”

Section: Resultsmentioning

confidence: 99%

Changing air pollution scenario during COVID-19: Redefining the hotspot regions over India

Tyagi

Choudhury

Vissa

et al. 2021

Environmental Pollution

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“…The quality checks include removal of data during rain hours, spike removal, tilt angle correction, linear detrending, spectral analysis and steady state test [9,13,42]. The details of the procedure can be obtained from the study of Tyagi and Satyanarayana [40]. Out of a total 2064 half-hourly data sets of FRD (1104 for CWD and 960 for DT), 970 data sets have been finally considered into the analysis (561 for CWD and 409 for DT) after the quality check.…”

Section: Site and Data Descriptionmentioning

confidence: 99%

Assessment of difference in the atmospheric surface layer turbulence characteristics during thunderstorm and clear weather days over a tropical station

Tyagi

Satyanarayana

2019

SN Appl. Sci.

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The present study analyses the atmospheric surface layer characteristics (non-dimensionalised standard deviation of temperature and wind) during days of thunderstorm (DT) and clear weather days (CWD) during the months of pre-monsoon for years 2007, 2009 and 2010 at a tropical station Kharagpur (22°30′N, 87 o 20′E), India using the data sets collected by a 50-m instrumented tower. The study proposes site-specific relationships for thermal and mechanical characteristics of turbulence concerning atmospheric stability during DT and CWD during the pre-monsoon season. Although the analysis has not considered the data during the thunderstorm events (removed due to quality check), the relationships are different in CWD and DT cases. It is observed that during unstable stratification of CWD, values are less dispersed compared to the unstable region of DT. The study also reveals differences for stable stratification of DT and CWD days; even the thunderstorms are occurring during an unstable regime. The turbulence intensity for wind obeys the 1/3 power law, whereas for the unstable (stable) region of the temperature the − 1/3 (− 1) slope exists.

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Delineation of surface energy exchanges variations during thunderstorm and non-thunderstorm days during pre-monsoon season

Cited by 15 publications

References 29 publications

Evaluating the variability, transport and periodicity of particulate matter over smart city Bhubaneswar, a tropical coastal station of eastern India

Evaluating the variability, transport and periodicity of particulate matter over smart city Bhubaneswar, a tropical coastal station of eastern India

Changing air pollution scenario during COVID-19: Redefining the hotspot regions over India

Assessment of difference in the atmospheric surface layer turbulence characteristics during thunderstorm and clear weather days over a tropical station

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