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Dive into the research topics where Anatoli Chaikovsky is active.

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Featured researches published by Anatoli Chaikovsky.


Journal of Geophysical Research | 2003

Long‐range transport of Saharan dust to northern Europe: The 11–16 October 2001 outbreak observed with EARLINET

Albert Ansmann; Jens Bösenberg; Anatoli Chaikovsky; Adolfo Comeron; Sabine Eckhardt; Ronald Eixmann; Volker Freudenthaler; Paul Ginoux; L. Komguem; Holger Linné; Miguel Ángel López Márquez; Volker Matthias; Ina Mattis; Valentin Mitev; Detlef Müller; Svetlana Music; Slobodan Nickovic; Jacques Pelon; Laurent Sauvage; Piotr Sobolewsky; Manoj K. Srivastava; Andreas Stohl; Omar Torres; G. Vaughan; Ulla Wandinger; Matthias Wiegner

The spread of mineral particles over southwestern, western, and central Europe resulting from a strong Saharan dust outbreak in October 2001 was observed at 10 stations of the European Aerosol Research Lidar Network (EARLINET). For the first time, an optically dense desert dust plume over Europe was characterized coherently with high vertical resolution on a continental scale. The main layer was located above the boundary layer (above 1-km height above sea level (asl)) up to 3–5-km height, and traces of dust particles reached heights of 7–8 km. The particle optical depth typically ranged from 0.1 to 0.5 above 1-km height asl at the wavelength of 532 nm, and maximum values close to 0.8 were found over northern Germany. The lidar observations are in qualitative agreement with values of optical depth derived from Total Ozone Mapping Spectrometer (TOMS) data. Ten-day backward trajectories clearly indicated the Sahara as the source region of the particles and revealed that the dust layer observed, e.g., over Belsk, Poland, crossed the EARLINET site Aberystwyth, UK, and southern Scandinavia 24–48 hours before. Lidar-derived particle depolarization ratios, backscatter- and extinction-related Angstrom exponents, and extinction-to-backscatter ratios mainly ranged from 15 to 25%, −0.5 to 0.5, and 40–80 sr, respectively, within the lofted dust plumes. A few atmospheric model calculations are presented showing the dust concentration over Europe. The simulations were found to be consistent with the network observations.


Journal of Geophysical Research | 2010

EARLINET correlative measurements for CALIPSO: First intercomparison results

Gelsomina Pappalardo; Ulla Wandinger; Lucia Mona; Anja Hiebsch; Ina Mattis; Aldo Amodeo; Albert Ansmann; Patric Seifert; Holger Linné; Arnoud Apituley; Lucas Alados Arboledas; Dimitris Balis; Anatoli Chaikovsky; Giuseppe D'Amico; Ferdinando De Tomasi; Volker Freudenthaler; E. Giannakaki; Aldo Giunta; Ivan Grigorov; M. Iarlori; Fabio Madonna; Rodanthi-Elizabeth Mamouri; Libera Nasti; A. Papayannis; Aleksander Pietruczuk; Manuel Pujadas; V. Rizi; Francesc Rocadenbosch; Felicita Russo; Franziska Schnell

A strategy for European Aerosol Research Lidar Network (EARLINET) correlative measurements for Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) has been developed. These EARLINET correlative measurements started in June 2006 and are still in progress. Up to now, more than 4500 correlative files are available in the EARLINET database. Independent extinction and backscatter measurements carried out at high-performance EARLINET stations have been used for a quantitative comparison with CALIPSO level 1 data. Results demonstrate the good performance of CALIPSO and the absence of evident biases in the CALIPSO raw signals. The agreement is also good for the distribution of the differences for the attenuated backscatter at 532 nm ((CALIPSO-EARLINET)/EARLINET (%)), calculated in the 1–10 km altitude range, with a mean relative difference of 4.6%, a standard deviation of 50%, and a median value of 0.6%. A major Saharan dust outbreak lasting from 26 to 31 May 2008 has been used as a case study for showing first results in terms of comparison with CALIPSO level 2 data. A statistical analysis of dust properties, in terms of intensive optical properties (lidar ratios, Angstrom exponents, and color ratios), has been performed for this observational period. We obtained typical lidar ratios of the dust event of 49 ± 10 sr and 56 ± 7 sr at 355 and 532 nm, respectively. The extinction-related and backscatter-related Angstrom exponents were on the order of 0.15–0.17, which corresponds to respective color ratios of 0.91–0.95. This dust event has been used to show the methodology used for the investigation of spatial and temporal representativeness of measurements with polar-orbiting satellites.


Spie Newsroom | 2014

GRASP: a versatile algorithm for characterizing the atmosphere

Oleg Dubovik; T. Lapyonok; Pavel Litvinov; Maurice Herman; David Fuertes; F. Ducos; Benjamín Torres; Y. Derimian; Xin Huang; Anton Lopatin; Anatoli Chaikovsky; Michael Aspetsberger; Christian Federspiel

GRASP (Generalized Retrieval of Aerosol and Surface Properties) is the first unified algorithm to be developed for characterizing atmospheric properties gathered from a variety of remote sensing observations (an introductory video is available elsewhere1). GRASP is based on a recent algorithm2 created to improve aerosol retrieval from the French Space Agency’s PARASOL3 imager over bright surfaces like deserts where high surface reflectance dwarfs the signal from aerosols. Moreover, GRASP relies on the heritage of retrieval advances4–7 implemented for AERONET,8 a worldwide network of over 200 radiometer sites that generate the data used to validate nearly all satellite observations of atmospheric aerosols. The AERONET retrievals derive detailed aerosol properties,6 including absorption, providing information of vital importance for reducing uncertainty in assessments of climate change. GRASP is based on several generalization principles with the idea of developing a scientifically rigorous, versatile, practically efficient, transparent, and accessible algorithm. There are two main independent modules. The first, numerical inversion, includes general mathematical operations not related to the particular physical nature of the inverted data (in this case, remote sensing observations). The second module, the forward model, was developed to simulate various atmospheric remote sensing observations. Numerical inversion is implemented as a statistically optimized fitting of observations following the multi-term least squares method (LSM) strategy, which combines9 the advantages of a variety of approaches and provides transparency and flexibility in developing algorithms that invert passive and/or active observations and derive several groups of Figure 1. Diagram illustrating the principle of combined synergetic processing of complementary observations using a multi-pixel2 retrieval approach. CALIPSO is a joint lidar mission of NASA and the French Space Agency, which also manages the PARASOL imager. AERONET is a worldwide network of radiometer sites.


Acta Geophysica | 2012

Variability of aerosol properties during the 2007–2010 spring seasons over central Europe

Aleksander Pietruczuk; Anatoli Chaikovsky

Aerosol optical properties have been studied for spring seasons when increased values of PM10 are registered. Measurements of aerosol optical properties were taken by collocated lidar and sun-photometers at Belsk, Poland, and Minsk, Belarus. A significant increase of registered aerosol optical thickness (AOT) was found during episodes with elevated PM10 concentrations. An increase of AOT at 1020 nm amounted to 50% in the case of Minsk and 18% in the case of Belsk, while an increase of AOT at 400 nm was 66% and 33%, respectively. We noted an increase of Ångström exponent by 6% at both stations and no significant increase of single scattering albedo. The LIDAR measurements together with NAAPS model results and backtrajectory analysis suggest that both the biomass burning products and the Saharan dust are responsible for increased PM10 concentrations and large AOT values during spring time. The smoke aerosol is transported over Central Europe mainly in the boundary layer, increasing both PM10 concentration and AOT. The dust aerosol transported in the free troposphere slightly affects the AOT values only. Statistically significant correlation between PM10 concentration and AOT was found during reporting period.


Remote Sensing | 2007

EARLINET correlative measurements for CALIPSO

Ina Mattis; Lucia Mona; Detlef Müller; Gelsomina Pappalardo; L. Alados-Arboledas; Giuseppe D'Amico; Aldo Amodeo; Arnoud Apituley; José María Baldasano; Christine Böckmann; Jens Bösenberg; Anatoli Chaikovsky; Adolfo Comeron; E. Giannakaki; Ivan Grigorov; Juan Luis Guerrero Rascado; Ove Gustafsson; M. Iarlori; Holger Linné; Valentin Mitev; Francisco Molero Menendez; Doina Nicolae; A. Papayannis; Carlos Pérez García-Pando; Maria Rita Perrone; Aleksander Pietruczuk; Jean-Philippe Putaud; François Ravetta; Alejandro W. Rodriguez; Patric Seifert

The European Aerosol Research Lidar Network (EARLINET) was established in 2000 to derive a comprehensive, quantitative, and statistically significant data base for the aerosol distribution on the European scale. At present, EARLINET consists of 25 stations: 16 Raman lidar stations, including 8 multi-wavelength Raman lidar stations which are used to retrieve aerosol microphysical properties. EARLINET performs a rigorous quality assurance program for instruments and evaluation algorithms. All stations measure simultaneously on a predefined schedule at three dates per week to obtain unbiased data for climatological studies. Since June 2006 the first backscatter lidar is operational aboard the CALIPSO satellite. EARLINET represents an excellent tool to validate CALIPSO lidar data on a continental scale. Aerosol extinction and lidar ratio measurements provided by the network will be particularly important for that validation. The measurement strategy of EARLINET is as follows: Measurements are performed at all stations within 80 km from the overpasses and additionally at the lidar station which is closest to the actually overpassed site. If a multi-wavelength Raman lidar station is overpassed then also the next closest 3+2 station performs a measurement. Altogether we performed more than 1000 correlative observations for CALIPSO between June 2006 and June 2007. Direct intercomparisons between CALIPSO profiles and attenuated backscatter profiles obtained by EARLINET lidars look very promising. Two measurement examples are used to discuss the potential of multi-wavelength Raman lidar observations for the validation and optimization of the CALIOP Scene Classification Algorithm. Correlative observations with multi-wavelength Raman lidars provide also the data base for a harmonization of the CALIPSO aerosol data and the data collected in future ESA lidar-in-space missions.


Twelfth Joint International Symposium on Atmospheric and Ocean Optics/Atmospheric Physics | 2006

Lidar network CIS-LiNet for monitoring aerosol and ozone in CIS regions

Anatoli Chaikovsky; A. Ivanov; Yu. Balin; A. Elnikov; G. Tulinov; I. Plusnin; O. A. Bukin; B. Chen

Lidar network CIS-LiNet has been established by lidar teams from Belarus, Russia and Kyrgyz Republic. Its objective is carrying out lidar observation coordinated at the territory from Minsk to Vladivostok in cooperation with EARLINET and AD-Net. During network developing lidar stations will be provided with sun radiometers and will be included in the global radiometric network AERONET. The following stations constitute CIS-LiNetL at the first stage of the network formation: - Stationary lidar stations in Minsk, Moscow, Surgut, Tomsk, Vladivostok, - Alpine stationary lidar station in Teplokiuchenka in Central Asia, Kyrgyz Republic - Seasonal lidar station on the base of a mobile lidar at the Lake Baikal - Shipboard lidar in Vladivostok All stations will carry out aerosol observations in the troposphere and stratosphere. Two stations in Minsk and Tomsk will implement ozone sounding in the stratosphere layer. Discrepancies of the lidar equipment, methods of data processing and software, methodology of implementation of scientific tasks are presented.


Lidar Technologies, Techniques, and Measurements for Atmospheric Remote Sensing V | 2009

Analysis of the EARLINET correlative measurements for CALIPSO

Gelsomina Pappalardo; Lucia Mona; Ulla Wandinger; Ina Mattis; Aldo Amodeo; Albert Ansmann; Arnoud Apituley; L. Alados-Arboledas; Dimitris Balis; Anatoli Chaikovsky; Adolfo Comeron; Giuseppe D'Amico; Volker Freudenthaler; Aldo Giunta; Ivan Grigorov; Anja Hiebsch; Holger Linné; Fabio Madonna; A. Papayannis; Maria Rita Perrone; Aleksander Pietruczuk; Manuel Pujadas; V. Rizi; Nicola Spinelli; Matthias Wiegner

Lidar techniques represent the most suitable tool to obtain information on the aerosol vertical distribution and therefore to close this kind of observational gap. Lidar networks are fundamental to study aerosol on large spatial scale and to investigate transport and modification phenomena. These are the motivations why EARLINET, the European Aerosol Research Lidar Network, was established in 2000. At present, EARLINET consists of 25 lidar stations: 7 single backscatter lidar stations, 9 Raman lidar stations with the UV Raman channel for independent measurements of aerosol extinction and backscatter, and 9 multiwavelength Raman lidar stations (elastic channel at 1064 nm, 532 nm, 355 nm, Raman channels at 532 nm and 355 nm, plus depolarization channel at 532 nm) for the retrieval of aerosol microphysical properties. EARLINET data can significantly contribute to the quantification of aerosol concentrations, radiative properties, long-range transport and budget, and prediction of future trends on European and global scale. It can also contribute to improve model treatment on a wide range of scales and to a better exploitation of present and future satellite data. EARLINET is playing an important role in the validation and in the full exploitation of the CALIPSO mission. EARLINET started correlative measurements for CALIPSO since June 2006. A strategy for correlative measurements has been defined on the base of the analysis of the high resolution ground track data provided by NASA. Results in terms of comparisons between EARLINET and available CALIPSO products, both level 1 and level 2 data, are presented.


saudi international electronics communications and photonics conference | 2011

Combined lidar/sun-radiometer remote sensing technique for studying long range aerosol transport

Anatoli Chaikovsky; Sergey Denisov; Jan Grudo; Michail Korol; Anton Lopatsin; V. A. Orlovich; Fiodar Osipenko; Alexander Slesar; Oleg Dubovik; Philipper Goloub; Jana Karol; D. Tanré

Lidar and sun-radiometer data of the EARLINET, CIS-LiNet and AERONET/PHOTONS stations in the East European area, space observations and local in-situ measurements were used to characterize long range aerosol transport over European regions. Brief description of technique and equipment for implementation of combined lidar and sun-radiometer approach to aerosol monitoring and results of five years observations are presented.


19th International Conference and School on Quantum Electronics: Laser Physics and Applications | 2017

Combined ground-based and satellite remote sensing of atmospheric aerosol and Earth surface in the Antarctic

Anatoli Chaikovsky; Michail Korol; Aleksey V. Malinka; Eleonora P. Zege; Iosif Katsev; Alexander Prikhach; Sergey Denisov; V. Dick; Philipper Goloub; L. Blarel; Ludmila I. Chaikovskaya; A. Lapyonok; Thierry Podvin; Natalia Denishchik-Nelubina; A. Fedarenka; V. Svidinsky

The paper presents lecture materials given at the Nineteenth International Conference and School on Quantum Electronics “Laser Physics and Applications” (19th ICSQE) in 2016, Sozopol, Bulgaria and contains the results of the 10-year research of Belarusian Antarctic expeditions to study the atmospheric aerosol and Earth surface in Antarctica. The works focus on the studying variability and trends of aerosol, cloud and snow characteristics in the Antarctic and the links of these processes with the long range transport of atmospheric pollutants and climate changes.


RADIATION PROCESSES IN THE ATMOSPHERE AND OCEAN (IRS2012): Proceedings of the International Radiation Symposium (IRC/IAMAS) | 2013

Synergetic retrieval of atmospheric aerosol from a combination of lidar and radiometer ground-based observations

Anton Lopatin; Oleg Dubovik; Anatoli Chaikovsky; Philippe Goloub; D. Tanré; Pavel Litvinov; Tatiana Lapyonok

The new algorithm that simultaneously inverts co-incident ground-based observations by AERONET radiometer and multi-wavelength lidar is presented. The retrieval uses an assumption that a mixture of fine and coarse aerosol modes with vertically constant spectral optical properties can satisfactorily describe the vertical variability of aerosol spectral optical properties. In this model the shape of size distribution and complex refractive index are assumed to be height independent for each mode, while the vertical profiles of aerosol concentrations can change arbitrarily for each mode. Consequently the inversion algorithm retrieves the size distribution, complex refractive index, single scattering albedo and vertical distribution of both fine and coarse aerosol modes. The concept of the method is presented and illustrated by the application of the developed method to the actual combined observations of lidar and radiometer.

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A. Papayannis

National Technical University of Athens

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Adolfo Comeron

Polytechnic University of Catalonia

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Dimitris Balis

Aristotle University of Thessaloniki

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