Vertical distributions and columnar properties of the aerosols during different seasons over Kattankulathur (12.82oN, 80.04oE): A semi-urban tropical coastal station

Ananthavel, Aravindhavel; Mehta, Sanjay Kumar; Reddy, T. V. Ramesh; Ali, Saleem; Rao, D. Narayana

doi:10.1016/j.atmosenv.2021.118457

Cited by 13 publications

(5 citation statements)

References 70 publications

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“…The level up to which the NRB signals are more than the 1 standard deviation of the column-integrated signal is considered a good SNR. In general, a good SNR is found up to ∼ 15-20 km at nighttime (Ananthavel et al, 2021a). However, at daytime, a good SNR is only found up to ∼ 4-6 km due to the high solar irradiance, except if cirrus clouds occur (Fig.…”

Section: Cloud-base and Cloud-top Altitudesmentioning

confidence: 84%

“…The MPL provides measurements of the vertical and temporal distributions of aerosols and clouds in the troposphere, which are helpful to study the atmospheric boundary layer, properties of aerosols, the occurrence of clouds, and cloud radiative effects on the atmosphere (Campbell et al, 2003;Welton and Campbell, 2002). The detailed specifications of the MPL can be found in Ananthavel et al (2021a).…”

Section: Micropulse Lidar (Mpl)mentioning

confidence: 99%

“…For our MPL system, the average overlap range is found to be ∼ 1.1 km. More details about the calculation of the overlap factor can be found in Ananthavel et al (2021b).…”

Section: Micropulse Lidar (Mpl)mentioning

confidence: 99%

“…For the aerosol contribution to the NRB signal, we used the seasonal mean altitude profiles of the aerosol extinction coefficient derived from MPL observations over the site during the period from 2016 to 2018. The details of deriving the extinction coefficients are provided in Ananthavel et al (2021a) and Ananthavel et al (2021b). However, it is to be noted that the molecular and aerosol contributions to the NRB signal are very small compared with cirrus clouds occurring above 8 km (Young, 1995;Nair et al, 2012).…”

Section: Cloud Optical Thicknessmentioning

confidence: 99%

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Temporal and vertical distributions of the occurrence of cirrus clouds over a coastal station in the Indian monsoon region

et al. 2022

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Abstract. Knowledge of the spatiotemporal coverage of cirrus clouds is vital in quantifying the radiation budget of the Earth–atmosphere system. In this paper, we present the diurnal and vertical distributions of the occurrence of cirrus clouds during different seasons as well as the interannual variation in the occurrence of cirrus over Kattankulathur (12.82∘ N, 80.04∘ E) on the west coast of the Bay of Bengal. Long-term (2016–2018) continuous micropulse lidar (MPL) observations demonstrate laminar and descending cirrus clouds that occur either as single or multiple layers. The single-layer cirrus occurrence shows a diurnal pattern with frequent occurrence in the late evening (∼ 30 %–40 %), whereas multilayer cirrus clouds occur in the early morning (∼ 10 %–20 %). For the diurnal pattern in single-layer cirrus cloud occurrences, convective processes dominate during the pre-monsoon, southwest (SW) monsoon, and northeast (NE) monsoon seasons, while the freeze-drying process is favorable during the winter season. However, both convective and freeze-drying processes are dominant in the diurnal pattern of the multilayer cirrus occurrences. The occurrence reaches a maximum (∼ 40 %) during the SW and NE monsoon seasons, and it shows a minimum (∼ 25 %) during the winter season. The vertical distributions indicate that the maximum occurrence is confined within the tropical tropopause layer (TTL) during all seasons. Cirrus cloud rarely occurs above the tropopause; however, it frequently occurs below the TTL during all seasons. The vertical extent of the occurrence has a broader altitudinal coverage (∼ 8–17 km) during December–March and June–September, while the altitudinal coverage is narrower during April–May (∼ 10–17 km) and October–November (∼ 9–15 km). Cirrus cloud occurrence also exhibits interannual variations, with higher occurrence during 2016 compared with 2017 and 2018, in association with the El Niño–Southern Oscillation (ENSO).

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Section: Cloud-base and Cloud-top Altitudesmentioning

confidence: 84%

Section: Micropulse Lidar (Mpl)mentioning

confidence: 99%

“…For our MPL system, the average overlap range is found to be ∼ 1.1 km. More details about the calculation of the overlap factor can be found in Ananthavel et al (2021b).…”

Section: Micropulse Lidar (Mpl)mentioning

confidence: 99%

Section: Cloud Optical Thicknessmentioning

confidence: 99%

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Temporal and vertical distributions of the occurrence of cirrus clouds over a coastal station in the Indian monsoon region

et al. 2022

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“…The seasonal variation of aerosol and cloud properties was studied [83] and aerosol optical depth (AOD) was determined using elastic channels of LIDAR and compared to those obtained from AERONET and MODIS [84] over Manora peak, a high altitude station (1950 masl) in the western Himalayan region. The micropulse LIDAR observation of seasonal characteristics of aerosols were performed in tropical coastal regions in southern India as well [85].…”

Section: Introductionmentioning

confidence: 99%

Profiling of Aerosols and Clouds over High Altitude Urban Atmosphere in Eastern Himalaya: A Ground-Based Observation Using Raman LIDAR

et al. 2023

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Profiles of aerosols and cloud layers have been investigated over a high-altitude urban atmosphere in the eastern Himalayas in India, for the first time, using a Raman LIDAR. The study was conducted post-monsoon season over Darjeeling (latitude 27°01′ N longitude 88°36′ E, 2200 masl), a tourist destination in north-eastern India. In addition to the aerosols and cloud characterization and atmospheric boundary layer detection, the profile of the water vapor mixing ratio has also been analyzed. Effects of atmospheric dynamics have been studied using the vertical profiles of the normalized standard deviation of RCS along with the water vapor mixing ratio. The aerosol optical characteristics below and above the Atmospheric Boundary Layer (ABL) region were studied separately, along with the interrelation of their optical and microphysical properties with synoptic meteorological parameters. The backscatter coefficient and the extinction coefficient were found in the range from 7.15×10−10 m−1 sr−1 to 3.01×10−5 m−1 sr−1 and from 1.02×10−5 m−1 to 2.28×10−3 m−1, respectively. The LIDAR ratio varies between 3.9 to 78.39 sr over all altitudes. The variation of the linear depolarization ratio from 0.19 to 0.32 indicates the dominance, of non-spherical particles. The periodicity observed in different parameters may be indicative of atmospheric wave phenomena. Cloud parameters, such as scattering coefficients, top and bottom height, and optical depth for different cloud phases, have been evaluated. A co-located Micro Rain Radar has been used with LIDAR for cloud life cycle study.

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Continuous monitoring of the atmospheric boundary layer (ABL) height from micro pulse lidar over a tropical coastal station, Kattankulathur (12.82° N, 80.04° E)

Kakkanattu

Mehta

Purushotham

et al. 2022

Meteorol Atmos Phys

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Vertical distributions and columnar properties of the aerosols during different seasons over Kattankulathur (12.82oN, 80.04oE): A semi-urban tropical coastal station

Cited by 13 publications

References 70 publications

Temporal and vertical distributions of the occurrence of cirrus clouds over a coastal station in the Indian monsoon region

Temporal and vertical distributions of the occurrence of cirrus clouds over a coastal station in the Indian monsoon region

Profiling of Aerosols and Clouds over High Altitude Urban Atmosphere in Eastern Himalaya: A Ground-Based Observation Using Raman LIDAR

Continuous monitoring of the atmospheric boundary layer (ABL) height from micro pulse lidar over a tropical coastal station, Kattankulathur (12.82° N, 80.04° E)

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