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Propagation of cloud base to higher levels during Covid-19-Lockdown

Aerosol-cloud interactions and feedbacks play an important role in modulating cloud development, microphysical and optical properties thus enhancing or reducing precipitation over polluted/pristine regions. The lockdown enforced on account of Covid-19 pandemic is a unique opportunity to verify the i...

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Autores principales: R., Latha, B.S., Murthy, B.S., Sandeepan, Bhanage, Vinayak, Rathod, Aditi, Tiwari, Arpit, Beig, Gufran, Singh, Siddhartha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9757895/
https://www.ncbi.nlm.nih.gov/pubmed/33341515
http://dx.doi.org/10.1016/j.scitotenv.2020.144299
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author R., Latha
B.S., Murthy
B.S., Sandeepan
Bhanage, Vinayak
Rathod, Aditi
Tiwari, Arpit
Beig, Gufran
Singh, Siddhartha
author_facet R., Latha
B.S., Murthy
B.S., Sandeepan
Bhanage, Vinayak
Rathod, Aditi
Tiwari, Arpit
Beig, Gufran
Singh, Siddhartha
author_sort R., Latha
collection PubMed
description Aerosol-cloud interactions and feedbacks play an important role in modulating cloud development, microphysical and optical properties thus enhancing or reducing precipitation over polluted/pristine regions. The lockdown enforced on account of Covid-19 pandemic is a unique opportunity to verify the influence of drastic reduction in aerosols on cloud development and its vertical distribution embedded in identical synoptic conditions. Cloud bases measured by ceilometer in Delhi, the capital of India, are observed to propagate from low level to higher levels as the lockdown progresses. It is explained in terms of trends in temporal variation of cloud condensation nuclei (CCN) and precursor gases to secondary hygroscopic aerosols. The large reduction (47%) in CCN estimated from aerosol extinction coefficient during the lockdown results in upward shift of cloud bases. Low clouds with bases located below 3 km are found to have reduced significantly from 63% (of total clouds distributed in the vertical) during pre-lockdown to 12% in lockdown period (less polluted). Cloud base height is found to have an inverse correlation with CCN (r = −0.64) and NO(2)/NH(3) concentrations (r = −0.7). The role of meteorology and CCN in modulating the cloud vertical profiles is discussed in terms of anomalies of various controlling factors like lifting condensation level (LCL), precipitable water content (PWC) and mixing layer height (MLH).
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spelling pubmed-97578952022-12-19 Propagation of cloud base to higher levels during Covid-19-Lockdown R., Latha B.S., Murthy B.S., Sandeepan Bhanage, Vinayak Rathod, Aditi Tiwari, Arpit Beig, Gufran Singh, Siddhartha Sci Total Environ Article Aerosol-cloud interactions and feedbacks play an important role in modulating cloud development, microphysical and optical properties thus enhancing or reducing precipitation over polluted/pristine regions. The lockdown enforced on account of Covid-19 pandemic is a unique opportunity to verify the influence of drastic reduction in aerosols on cloud development and its vertical distribution embedded in identical synoptic conditions. Cloud bases measured by ceilometer in Delhi, the capital of India, are observed to propagate from low level to higher levels as the lockdown progresses. It is explained in terms of trends in temporal variation of cloud condensation nuclei (CCN) and precursor gases to secondary hygroscopic aerosols. The large reduction (47%) in CCN estimated from aerosol extinction coefficient during the lockdown results in upward shift of cloud bases. Low clouds with bases located below 3 km are found to have reduced significantly from 63% (of total clouds distributed in the vertical) during pre-lockdown to 12% in lockdown period (less polluted). Cloud base height is found to have an inverse correlation with CCN (r = −0.64) and NO(2)/NH(3) concentrations (r = −0.7). The role of meteorology and CCN in modulating the cloud vertical profiles is discussed in terms of anomalies of various controlling factors like lifting condensation level (LCL), precipitable water content (PWC) and mixing layer height (MLH). Elsevier B.V. 2021-03-10 2020-12-09 /pmc/articles/PMC9757895/ /pubmed/33341515 http://dx.doi.org/10.1016/j.scitotenv.2020.144299 Text en © 2020 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
R., Latha
B.S., Murthy
B.S., Sandeepan
Bhanage, Vinayak
Rathod, Aditi
Tiwari, Arpit
Beig, Gufran
Singh, Siddhartha
Propagation of cloud base to higher levels during Covid-19-Lockdown
title Propagation of cloud base to higher levels during Covid-19-Lockdown
title_full Propagation of cloud base to higher levels during Covid-19-Lockdown
title_fullStr Propagation of cloud base to higher levels during Covid-19-Lockdown
title_full_unstemmed Propagation of cloud base to higher levels during Covid-19-Lockdown
title_short Propagation of cloud base to higher levels during Covid-19-Lockdown
title_sort propagation of cloud base to higher levels during covid-19-lockdown
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9757895/
https://www.ncbi.nlm.nih.gov/pubmed/33341515
http://dx.doi.org/10.1016/j.scitotenv.2020.144299
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