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Dive into the research topics where K. Raghavendra Kumar is active.

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Featured researches published by K. Raghavendra Kumar.


Science of The Total Environment | 2016

Measurement and analysis of surface aerosol optical properties over urban Nanjing in the Chinese Yangtze River Delta

Xingna Yu; Jia Ma; K. Raghavendra Kumar; Bin Zhu; Junlin An; Jiaqi He; Mei Li

Aerosol optical properties including aerosol scattering coefficient (σsp), absorption coefficient (σap), single scattering albedo (SSA), PM2.5 mass concentration and their relationship with meteorological factors were measured and analyzed from 1st March to 30th April 2011. The observations were conducted at an urban-industrial site in Nanjing located in the Yangtze River Delta (YRD) region, China. The averaged σsp at 550 nm is found to be 329.3±321.6 Mm(-1) and occurred most frequently within the range of 100-200 Mm(-1). σap at 532 nm is measured to be 28.1±17.6 Mm(-1), which is remarkably smaller than most of the measurements made over megacities in China and nearly equivalent to the observations made at rural sites in the YRD. The mean SSA at 532 nm is 0.89±0.08 with the occurrence frequency of higher SSA (>0.9) accounting for about 60%, indicating that scattering-related aerosols are dominant over Nanjing during the study period. A bi-peak diurnal variation of σap and σsp is found with the maximum during late at night and early morning and the minimum in the afternoon, but the diurnal pattern of SSA is just the opposite to this. Significant correlation coefficients are noticed between different aerosol optical properties. σsp and σap showed a clear negative correlation with wind speed, temperature, and visibility. During the study period, the lower northwesterly and southeasterly winds are attributed to an increase in the aerosol optical properties. The σsp and σap increased significantly during severe haze and dust episodes caused by the accumulation of pollutants from both local and regional sources under favorable weather conditions.


Journal of Geophysical Research | 2016

Numerical investigation on the Ångström exponent of black carbon aerosol

Ji Li; Chao Liu; Yan Yin; K. Raghavendra Kumar

Black carbon (BC) plays an important role on the global and regional climate, whereas there are significant uncertainties on its optical properties. Among various optical properties, the Angstrom exponent (AE) indicates the spectral variation of the particle-optic interaction and is widely used to understand the aerosol properties. We consider the influence of BC geometry on its optical properties and assess the sensitivity of the AE to particle geometry and size distribution. The fractal aggregates with different fractal dimensions are used to represent realistic BC particles, and popular equivalent volume spherical and spheroidal models are also considered for comparison. Even if the fractal aggregates become highly compact and spherical, their optical properties are still significantly different from those of equivalent volume spheres or spheroids. Meanwhile, the Rayleigh-Debye-Gans approximation can hardly provide accurate results for all optical quantities of aggregates with different dimensions. The extinction Angstrom exponent (EAE) and absorption Angstrom exponent (AAE) are sensitive to both particle geometry and size distribution. With BC becoming more compact (from fractal aggregate to spheroid and to sphere), the AE becomes more sensitive to particle size distribution. The EAE and AAE of aggregates with different size distributions vary between 1.10–1.63 and 0.87–1.50, respectively, whereas those of the spheres or spheroids have wider ranges. Furthermore, the AE at smaller wavelengths (between 0.35 µm and 0.55 µm) is more sensitive to geometry and size distribution than that given by optical properties at larger wavelengths (between 0.55 µm and 0.88 µm).


Advances in Space Research | 2018

Evaluation and utilization of CloudSat and CALIPSO data to analyze the impact of dust aerosol on the microphysical properties of cirrus over the Tibetan Plateau

Baiwan Pan; Zhendong Yao; Minzhong Wang; Honglin Pan; Lingbing Bu; K. Raghavendra Kumar; Haiyang Gao; Xingyou Huang

Abstract The present study elucidates on the evaluation of two versions (V3 and V4.10) of vertical feature mask (VFM) and aerosol sub-types data derived from the Cloud-Aerosol LiDAR and Infrared Pathfinder Satellite Observations (CALIPSO), and its utilization to analyze the impact of dust aerosol on the microphysical properties of cirrus over the Tibetan Plateau (TP). In conjunction to the CALIPSO, we have also used the CloudSat data to study the same during the summer season for the years 2007–2010 over the study area 25–40°N and 75–100°E. Compared to V3 of CALIPSO, V4.10 was found to have undergone substantial changes in the code, algorithm, and data products. Intercomparison of both versions of data products in the selected grid between 30–31°N and 83–84°E within the study area during 2007–2017 revealed that the VFM and aerosol sub-types are in good agreement of ∼95.27% and ∼82.80%, respectively. Dusty cirrus is defined as the clouds mixed with dust aerosols or existing in dust aerosol conditions, while the pure cirrus is that in a dust-free environment. The obtained results illustrated that the various microphysical properties of cirrus, namely ice water content (IWC), ice water path (IWP), ice distribution width (IDW), ice effective radius (IER), and ice number concentration (INC) noticed a decrease of 17%, 18%, 4%, 19%, and 10%, respectively due to the existence of dust aerosol, consistent with the classical “Twomey effect” for liquid clouds. Moreover, the aerosol optical depth (AOD) showed moderate negative correlations between −0.4 and −0.6 with the microphysical characteristics of cirrus. As our future studies, in addition to the present work undertaken, we planned to gain knowledge and interested to explore the impact of a variety of aerosols apart from the dust aerosol on the microphysical properties of cirrus in different regions of China.Long-Gang Pang1,2,∗ Kai Zhou, and Xin-Nian Wang Physics Department, University of California, Berkeley, CA 94720, USA Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA Key Laboratory of Quark & Lepton Physics (MOE) and Institute of Particle Physics, Central China Normal University, Wuhan 430079, China Frankfurt Institute for Advanced Studies, 60438 Frankfurt am Main, Germany and Institute for Theoretical Physics, Goethe University, 60438 Frankfurt am Main, Germany


Environmental Pollution | 2016

Changes in column aerosol optical properties during extreme haze-fog episodes in January 2013 over urban Beijing.

Xingna Yu; K. Raghavendra Kumar; Rui Lü; Jia Ma


Atmospheric Environment | 2015

Aerosol climatology and discrimination of aerosol types retrieved from MODIS, MISR and OMI over Durban (29.88°S, 31.02°E), South Africa

K. Raghavendra Kumar; Yan Yin; Venkataraman Sivakumar; Na Kang; Xingna Yu; Yiwei Diao; A. Joseph Adesina; R.R. Reddy


Atmospheric Environment | 2014

Long-term (2003–2013) climatological trends and variations in aerosol optical parameters retrieved from MODIS over three stations in South Africa

K. Raghavendra Kumar; Venkataraman Sivakumar; Yan Yin; R.R. Reddy; Na Kang; Yiwei Diao; A. Joseph Adesina; Xingna Yu


Environmental Science and Pollution Research | 2016

Column-integrated aerosol optical properties and direct radiative forcing over the urban-industrial megacity Nanjing in the Yangtze River Delta, China

Na Kang; K. Raghavendra Kumar; Xingna Yu; Yan Yin


Atmospheric Research | 2016

Long-term (2002–2014) evolution and trend in Collection 5.1 Level-2 aerosol products derived from the MODIS and MISR sensors over the Chinese Yangtze River Delta

Na Kang; K. Raghavendra Kumar; Kang Hu; Xingna Yu; Yan Yin


Atmospheric Environment | 2017

Climatological analysis of aerosol optical properties over East Africa observed from space-borne sensors during 2001–2015

Richard Boiyo; K. Raghavendra Kumar; Tianliang Zhao; Yansong Bao


Atmospheric Research | 2016

Measurement and analysis of black carbon aerosols over a tropical semi-arid station in Kadapa, India

G. Reshma Begam; C. Viswanath Vachaspati; Y. Nazeer Ahammed; K. Raghavendra Kumar; S. Suresh Babu; R.R. Reddy

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Na Kang

Nanjing University of Information Science and Technology

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Yan Yin

Nanjing University of Information Science and Technology

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R.R. Reddy

Sri Krishnadevaraya University

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Xingna Yu

Nanjing University of Information Science and Technology

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Richard Boiyo

University of Science and Technology

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Lingbing Bu

Nanjing University of Information Science and Technology

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Tianliang Zhao

Nanjing University of Information Science and Technology

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A. Joseph Adesina

University of KwaZulu-Natal

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