We report the lidar observations of a prolonged unusual event of atmospheric aerosol load extending up to about 15 km above the city of Sofia, Bulgaria. Based on the results obtained and air-transport modeling data, we show that the observed diffused aerosol layers consisted predominantly of Saharan mineral dust partly mixed with other aerosol types. We present retrieved time-averaged vertical profiles of the aerosol backscatter coefficient (at 532 and 1064 nm) in order to display the aerosol density height distribution, whereas the aerosol layering temporal dynamics is illustrated by color-coded maps of range-corrected lidar signals. We also calculated the profiles of the backscatter-related Ångström exponent (BAE), which showed the domination of moderately coarse aerosol particle modes. Further, frequency count distributions of the BAE occurrences were obtained and analyzed statistically. Particular attention was paid to the revealed BAE distribution skewness, in view of better identifying and characterizing the aerosol size and composition changes. The results obtained enabled us to argue that the atmosphere above Sofia in the period considered had been strongly affected by intrusion of Saharan dust. Desert aerosols had perturbed or covered over the top of the atmospheric boundary layer and filled up the free troposphere, considerably influencing the local meteorological conditions. We also ascertained that aged volcanic aerosols had been likely present and detected at tropopause altitudes.
The method of combined lidar and radiometer sounding (LRS) became a specialized tool for measuring altitude distributions of aerosol optical parameters and aerosol mode concentrations. The work gives description of advanced version of LRS technique, which integrates data of ground-based multiwavelength lidar systems, as well as satellite lidars like CALIOP, with data of AERONET radiometer stations for monitoring aerosol mode concentration profiles to study the atmospheric process over the area of large regions, or the Earth's atmosphere as a whole. Lidar and Radiometer Inversion Cod (LIRIC) is used as a base software package for processing data of terrestrial and satellite lidar observation because of high stability of its sequential inversion procedure for processing combined radiometer and lidar data. Special software module was developed to extract the ensemble of individual CALIOP profiles of attenuated backscatters in the vicinity of AERONET sites from CALIPSO Lidar L1B Profile Data. A number of collocated measurements by means of AERONET radiometer, ground-based lidar and CALIOP were carried out to validate the results of the extended LRS technique. Altitude profiles of aerosol mode concentrations retrieved from ground-based and satellite lidar data are compared to estimate differences between two types of LRSmeasurements. Advanced terrestrial and satellite LRS technique was used to obtain the “snapshot” of aerosol concentration profiles over the world in the frame of international “Lidar and Radiometer measurement campaign - 2017" (LRMC-2017). Thirty nine combined lidar and radiometer stations in Eurasian and South American continents participated in terrestrial part of the campaign.
A. Chaikovsky, A. Bril, A. Fedarenka, V. Peshcharankou, S. Denisov, V. Dick, F. Asipenka, Yu. Balin, G. Kokhanenko, I. Penner, S. Samoilova, M. Klemasheva, S. Nasonov, G. Zhamsueva, A. Zayakhanov, V. Tsydypov, D. Azzaya, D. Oyunchimeg, G. Bayasgalan, E. Enkhbat, M. Regzedmaa, N. Lkhagvadorj, G. Dulamtsoo, N. Enkhmaa, Sh. Amarbileg, Nguyen Xuan Anh, Pham Xuan Thanh, Hiep Van Nguyen, Pham Le Khuong, B. Chen, L. Sverdlik
The development of the scientific, methodological and technical basis for an integrated terrestrial and satellite monitoring of the atmosphere and the Earth's surface over the Eurasian continent is the goal of an international project carried out by the scientific organizations of Belarus, Russia, Mongolia and Vietnam with the support of the Eurasian Association for the Support of Scientific Research (EAPS). The report presents the results of testing the method of coordinated terrestrial and satellite, lidar and radiometric measurements to study altitude profiles of aerosol parameters in the areas of AERONET stations in the countries participating in the project. The data of the satellite lidar CALIOP and the solar radiometer were processed by the algorithms developed in the frame of combined lidar and radiometric sounding technique (LRS). Coordinated multiwavelength lidar measurements were carried out at remote sensing stations in IPNASB (Minsk, Belarus), IAO (Tomsk, Russia) and KRSU (Teplokluchenka, Kyrgyzstan) to validate the results of satellite data processing.
We present further development of the empirical orthogonal functions (EOF)-based retrieval algorithm. The algorithm output is a regression formula that relates principal components of the reflected sunlight spectra with CO2 total column amount. The algorithm was implemented and tested for the observations from the Japanese satellite Greenhouse gases Observing Satellite (GOSAT). Training of the EOF-based algorithm with the collocated ground-based and space-borne data (e.g., Total Carbon Column Observing Network and GOSAT observations, respectively) was shown to impose some errors that were interpreted as a result of implicit averaging over the collocation area. Alternative training with the small subset (∼5 % to 10%) of the full-physics algorithm is free of such errors; however, this option requires additional filtering of the space-borne observations that are strongly affected by atmospheric light scattering. This filtering was implemented by the comparison of the EOF-regression estimates of surface pressure with corresponding meteorological data.
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