Impact of COVID-19 lockdown on the atmospheric boundary layer and instability process over Indian region

被引:5
作者
Basha, Ghouse [1 ]
Ratnam, M. Venkat [1 ]
Viswanadhapalli, Yesubabu [1 ]
Chakraborty, Rohit [2 ]
Babu, Saginela Ravindra [3 ]
Kishore, P. [4 ]
机构
[1] Natl Atmospher Res Lab, Dept Space, Gadanki 517112, India
[2] Indian Inst Sci, Divecha Ctr Climate Change, Bengaluru, Karnataka, India
[3] Natl Cenral Univ, Dept Atmospher Sci, Taoyuan 32001, Taiwan
[4] Univ Calif Irvine, Dept Earth Syst Sci, Irvine, CA 92697 USA
关键词
Visibility; Temperature; Wind speed; ABL; CAPE; CINE; COVID-19; lockdown; LONG-TERM TRENDS; AIR-QUALITY; RESOLUTION; EVENT; MODEL;
D O I
10.1016/j.scitotenv.2022.154995
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The abrupt reduction in the human activities during the first lockdown of the COVID-19 pandemic created unprecedented changes in the background atmospheric conditions. Several studies reported the anthropogenic and air quality changes observed during the lockdown. However, no attempts are made to investigate the lockdown effects on the Atmospheric Boundary Layer (ABL) and background instability processes. In this study, we assess the lockdown impacts on the ABL altitude and instability parameters (Convective Available Potential Energy (CAPE) and Convective Inhibition Energy (CINE)) using WRF model simulations. Results showed a unique footprint of COVID-19 lockdown in all these parameters. Increase in the visibility, surface temperature and wind speed and decrease in relative humidity during the lockdown is noticed. However, these responses are not uniform throughout India and are significant in the inland compared to the coastal regions. The spatial variation of temperature (wind speed) and relative humidity shows an increase and decrease over the Indo Gangetic Plain (IGP) and central parts of India by 20% (100%) and 40%, respectively. Increase (80%) in the ABL altitude is larger over the IGP and central parts of India during lockdown of 2020 compared to similar time period in 2015-2019. This increase is attributed to the stronger insolation due to absence of anthropogenic activity and other background conditions. At the same time, CAPE decreased by 98% in the IGP and central parts of India, where it shows an increase in other parts of India. A prominent strengthening of CINE in the IGP and a weakening elsewhere is also noticed. These changes in CAPE and CINE are mainly attributed to the dearth of saturation in lower troposphere levels, which prevented the development of strong adiabatic ascent during the lockdown. These results provide a comprehensive observation and model-based insight for lockdown induced changes in the meteorological and thermo-dynamical parameters.
引用
收藏
页数:10
相关论文
共 44 条
[31]   COVID-19 and the environment: A critical review and research agenda [J].
Shakil, Mohammad Hassan ;
Munim, Ziaul Haque ;
Tasnia, Mashiyat ;
Sarowar, Shahin .
SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 745
[32]   Effect of restricted emissions during COVID-19 on air quality in India [J].
Sharma, Shubham ;
Zhang, Mengyuan ;
Anshika ;
Gao, Jingsi ;
Zhang, Hongliang ;
Kota, Sri Harsha .
SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 728
[33]   The impact of COVID-19 as a necessary evil on air pollution in India during the lockdown [J].
Shehzad, Khurram ;
Sarfraz, Muddassar ;
Shah, Syed Ghulam Meran .
ENVIRONMENTAL POLLUTION, 2020, 266
[34]   Diurnal and temporal changes in air pollution during COVID-19 strict lockdown over different regions of India [J].
Singh, Vikas ;
Singh, Shweta ;
Biswal, Akash ;
Kesarkar, Amit P. ;
Mor, Suman ;
Ravindra, Khaiwal .
ENVIRONMENTAL POLLUTION, 2020, 266
[35]   Simulation of an extreme heavy rainfall event over Chennai, India using WRF: Sensitivity to grid resolution and boundary layer physics [J].
Srinivas, C., V ;
Yesubabu, V ;
Prasad, D. Had ;
Prasad, K. B. R. R. Hari ;
Greeshma, M. M. ;
Baskaran, R. ;
Venkatraman, B. .
ATMOSPHERIC RESEARCH, 2018, 210 :66-82
[36]   Tropical cyclone predictions over the Bay of Bengal using the high-resolution Advanced Research Weather Research and Forecasting (ARW) model [J].
Srinivas, C. V. ;
Rao, D. V. Bhaskar ;
Yesubabu, V. ;
Baskaran, R. ;
Venkatraman, B. .
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2013, 139 (676) :1810-1825
[37]   Influence of Black Carbon Aerosol on the Atmospheric Instability [J].
Talukdar, Shamitaksha ;
Ratnam, M. Venkat ;
Ravikiran, V. ;
Chakraborty, Rohit .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2019, 124 (10) :5539-5554
[38]   Explicit Forecasts of Winter Precipitation Using an Improved Bulk Microphysics Scheme. Part II: Implementation of a New Snow Parameterization [J].
Thompson, Gregory ;
Field, Paul R. ;
Rasmussen, Roy M. ;
Hall, William D. .
MONTHLY WEATHER REVIEW, 2008, 136 (12) :5095-5115
[39]  
Vinoj V., 2020, PREPRINT, DOI [10.20944/preprints202007.0082.v1, DOI 10.20944/PREPRINTS202007.0082.V1]
[40]   A diagnostic study of extreme precipitation over Kerala during August 2018 [J].
Viswanadhapalli, Yesubabu ;
Srinivas, Challa Venkata ;
Basha, Ghouse ;
Dasari, Hari Prasad ;
Langodan, Sabique ;
Ratnam, Madineni Venkat ;
Hoteit, Ibrahim .
ATMOSPHERIC SCIENCE LETTERS, 2019, 20 (12)