Atmospheric convection is a natural phenomena associated with heat transport. Convection is strong during daylight periods and rigorous in summer months. Severe ground heating associated with strong winds experienced during these periods. Tropics are considered as the source regions for strong convection. Formation of thunder storm clouds is common during this period. Location of cloud base and its associated dynamics is important to understand the influence of convection on the atmosphere. Lidars are sensitive to Mie scattering and are the suitable instruments for locating clouds in the atmosphere than instruments utilizing the radio frequency spectrum. Thunder storm clouds are composed of hydrometers and strongly scatter the laser light.
Recently, a lidar technique was developed at National Atmospheric Research Laboratory (NARL), a Department of Space (DOS) unit, located at Gadanki near Tirupati. The lidar technique employs slant path operation and provides high resolution measurements on cloud base location in real-time. The laser based remote sensing technique allows measurement of atmosphere for every second at 7.5 m range resolution. The high resolution data permits assessment of updrafts at the cloud base. The lidar also provides real-time convective boundary layer height using aerosols as the tracers of atmospheric dynamics. The developed lidar sensor is planned for up-gradation with scanning facility to understand the cloud dynamics in the spatial direction.
In this presentation, we present the lidar sensor technology and utilization of its technology for high resolution cloud base measurements during convective conditions over lidar site, Gadanki.
A compact dual polarization lidar (DPL) was designed and developed at National Atmospheric Research Laboratory (NARL) for daytime measurements of the boundary layer aerosol distribution and depolarization properties with very high vertical and temporal resolution. The lidar employs a compact flashlamp pumped Q-switched Nd:YAG laser and operates at 532 nm wavelength. The lidar system uses a stable biaxial configuration between transmitter and receiver units. The receiver utilizes a 150 mm Schmidt Cassegranin telescope for collecting laser returns from the atmosphere. The collected backscattered light is separated into co and cross-polarization signals using a polarization beam splitter cube. A set of mini-PMTs have been used for detection of light from atmosphere during daylight period. A two channel transient recorder system with built-in ADC has been employed for recording the detected light. The entire lidar system is housed in a compact cabinet which can be easily transported for field measurements. During 2014, the lidar system was installed at the Banaras Hindu University (BHU) campus, Varanasi (25.28° N, 82.96° E, 82 m AMSL) and operated for a period of three months in to support the cloud aerosol interaction and precipitation enhancement experiment (CAIPEEX) conducted by Indian Institute of tropical meteorology (IITM). During this campaign period, the lidar measurements were carried out in the vertical direction with spatial resolution of 7.5 m and time sampling of 30s. The lidar measurements revealed the occurrence of boundary layer growth during convective periods and also detected the long-range transport dust layers with significant depolarization. In the present paper, we present the lidar measurements obtained during the campaign period and discuss the observation of transport of dust layer over the experimental site with support of back trajectory analysis and satellite data. The Lidar observations were compared with the available satellite observations also presented here.
Correct assessment of aerosol properties is a pre-requisite for climate change study. On account of large
heterogeneity in their properties both on spatial and temporal scales, satellite remote sensing is an ideal tool
to study them. But the advantage offered by satellites is inhibited by contamination from surface reflectance
and cloud interference. In the past, satellite remote sensing of aerosols was limited to over oceans, which
offered a dark background. With the launch of MODIS instrument onboard Terra and Aqua satellites
observations have been extended to over land. MODIS derives aerosol properties by making an assessment
of surface reflectance at visible wavelengths based on mid-IR reflectance. This process has an empirical
basis but the validity can only be verified by comparing the results against ground truth data. In this study
MODIS derived AOD is validated against the ground based sunphotometer observations made at
Ahmedabad (23.03° N, 72.53°E), an urban location in Western India, from 2002 to 2005. The local
meteorology is summer from March till July, monsoon during July to September and winter from October to
February. MODIS AOD data at 470 nm and 660 nm from both Terra and Aqua averaged over a 0.5×0.5
degree box centered at Ahmedabad are compared with the ground truth data. An overestimation up to 150%
by MODIS during April- June and an underestimation up to 50% during October to March is found. An
attempt to explain these differences in terms of seasonal variation in surface reflectivity and cloud
contamination is presented and discussed.
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