المؤلفون: Chaikovsky Anatoli, Bril Andrey, Dubovik Oleg, Fedarenka Anton, Goloub Philippe, Hu Qiaoyun, Lopatin Anton, Lapyonok Tatyana, Miatselskaya Natallia, Torres Benjamin, Fuertes David, Peshcharankou Vladislau, Podvin Thierry, Popovici Ioana, Liu Dong, Li Zhengqiang, Soupiona Ourania, Mylonaki Maria, Mona Lucia, Giunta Aldo, Papagiannopoulos Nikolaos, Perrone Maria Rita, Romano Salvatore, Balis Dimitris, Siomos Nikolaos, Voudouri Kalliopi-Artemis, Belegante Livio, Nicolae Doina, Ene Dragos, Ajtai Nicolae, Stefanie Horatiu, Amiridis Vassilis, Tsekeri Alexandra, Bortoli Daniele, Costa Maria Joao, Mattis Ina, Rocadenbosch Francesc, Rodríguez-Gomez Alejandro, Sicard Michael, Fernandez Alfonso J., Molero Francisco, Althausen Dietrich, Baars Holger, Rascado Juan Luis Guerrero, Ortiz-Amezcua Pablo, Oltra José Antonio Benavent, Bedoya-Velásquez Andrés Esteban, Román Roberto, Alados-Arboledas Lucas, Balin Yurii, Kokhanenko Grigorii, Penner Ivan, Chen Boris, Sverdlik Leonid, Milinevsky Genadi, Sugimoto Nobuo, Shimizu Atsushi, Nishizawa Tomoaki, Kudo Rei, Sano Itaru, Yasunari Teppei J., Irie Hitoshi, Takemura Toshihiko, Kim Sang-Woo, Anh Nguyen Xuan, Thanh Pham Xuan, Pietruczuk Aleksander, Stachlewska Iwona S., Sannino Alessia, Wang Xuan, Boselli Antonela

المصدر: EPJ Web of Conferences, Vol 237, p 02035 (2020)

مصطلحات موضوعية: Physics, QC1-999

الوصف: The paper presents the preliminary results of the lidar&radiometer measurement campaign (LRMC-2017), estimation of statistical relations between aerosol mode concentrations retrieved from CALIOP and ground-based lidar stations and case study of fire smoke events in the Eurasian regions using combined ground-based and space lidar and radiometer observations.

وصف الملف: electronic resource

العلاقة: https://www.epj-conferences.org/articles/epjconf/pdf/2020/13/epjconf_ilrc292020_02035.pdfTest; https://doaj.org/toc/2100-014XTest

الوصول الحر: https://doaj.org/article/15a8e4212fda4abeb19f7ee2fac090ccTest

المؤلفون: Chaikovsky, Anatoli, Bril, Andrey, Goloub, Philippe, Li, Zhengqiang, Peshcherenkov, Vladislav, Asipenka, Fiodar, Blarel, Luc, Dubois, Gael, Korol, Mikhail, Lapionak, Aliaksandr, Malinka, Aleksey, Miatselskaya, Natallia, Podvin, Thierry, Zhang, Ying

المصدر: Environmental Sciences Proceedings; 2023, Vol. 29, p70, 6p

مصطلحات موضوعية: LIDAR, RADIOMETRY, OPTICAL measurements, AEROSOLS, SIGNAL-to-noise ratio

مستخلص: The statistical characteristics of combined lidar and radiometric measurements obtained from satellite lidar CALIOP and ground-based sun-radiometer stations were used as input datasets to retrieve the altitude profiles of aerosol parameters (LRS-C technique). The signal-to-noise ratio of the input satellite lidar signals increased when averaging over a large array of measured data. An algorithm and software package for processing the input dataset of the LRS-C sounding of atmospheric aerosol in regions with medium and low aerosol loads was developed. This paper presents the results of studying long-term changes in the concentration profiles of aerosol modes in regions of East Europe (AERONET site Minsk, 53.92° N, 27.60° E) and East Antarctic (AERONET site Vechernaya Hill, 67.66° S, 46.16° E). [ABSTRACT FROM AUTHOR]

: Copyright of Environmental Sciences Proceedings is the property of MDPI and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

المؤلفون: Chaikovsky, Anatoli, Bril, Andrey, Dubovik, Oleg, Fedarenka, Anton, Goloub, Philippe, Hu, Qiaoyun, Lopatin, Anton, Lapyonok, Tatyana, Miatselskaya, Natallia, Torres, Benjamin, Fuertes, David, Peshcharankou, Vladislau, Podvin, Thierry, Popovici, Ioana, Liu, Dong, Li, Zhengqiang, Soupiona, Ourania, Mylonaki, Maria, Mona, Lucia, Giunta, Aldo, Papagiannopoulos, Nikolaos, Perrone, Maria Rita, Romano, Salvatore, Balis, Dimitris, Siomos, Nikolaos, Voudouri, Kalliopi-Artemis, Belegante, Livio, Nicolae, Doina, Ene, Dragos, Ajtai, Nicolae, Stefanie, Horatiu, Amiridis, Vassilis, Tsekeri, Alexandra, Bortoli, Daniele, Costa, Maria Joao, Mattis, Ina, Rocadenbosch, Francesc, Rodriguez-Gomez, Alejandro, Sicard, Michael, Fernandez, Alfonso J., Molero, Francisco, Althausen, Dietrich, Baars, Holger, Guerrero Rascado, Juan Luis, Ortiz-Amezcua, Pablo, Benavent Oltra, Jose Antonio, Esteban Bedoya-Velasquez, Andres, Roman, Roberto, Alados-Arboledas, Lucas, Balin, Yurii, Kokhanenko, Grigorii, Penner, Ivan, Chen, Boris, Sverdlik, Leonid, Milinevsky, Genadi, Sugimoto, Nobuo, Shimizu, Atsushi, Nishizawa, Tomoaki, Kudo, Rei, Sano, Itaru, Yasunari, Teppei J., Irie, Hitoshi, Takemura, Toshihiko, Kim, Sang-Woo, Nguyen Xuan Anh, Pham Xuan Thanh, Pietruczuk, Aleksander, Stachlewska, Iwona S., Sannino, Alessia, Wang, Xuan, Boselli, Antonela

المساهمون: Kim, Sang-Woo

الوصف: The paper presents the preliminary results of the lidar&radiometer measurement campaign (LRMC2017), estimation of statistical relations between aerosol mode concentrations retrieved from CALIOP and ground-based lidar stations and case study of fire smoke events in the Eurasian regions using combined ground-based and space lidar and radiometer observations. ; N ; 1

العلاقة: 29TH INTERNATIONAL LASER RADAR CONFERENCE (ILRC 29), Vol.237, p. 02035; https://hdl.handle.net/10371/186589Test; 000591371500051; 172933

الإتاحة: https://doi.org/10.1051/epjconf/202023702035Test
https://hdl.handle.net/10371/186589Test

المؤلفون: Oshchepkov, Sergey, Bril, Andrey, Yokota, Tatsuya, Wennberg, Paul O., Deutscher, Nicholas M., Wunch, Debra, Toon, Geoffrey C., Yoshida, Yukio, O'Dell, Christopher W., Crisp, David, Miller, Charles E., Frankenberg, Christian, Butz, André, Aben, Ilse, Guerlet, Sandrine, Hasekamp, Otto, Boesch, Hartmut, Cogan, Austin, Parker, Robert, Griffith, David, Macatangay, Ronald, Notholt, Justus, Sussmann, Ralf, Rettinger, Markus, Sherlock, Vanessa, Robinson, John, Kyrö, Esko, Heikkinen, Pauli, Feist, Dietrich G., Morino, Isamu, Kadygrov, Nikolay, Belikov, Dmitry, Maksyutov, Shamil, Matsunaga, Tsuneo, Uchino, Osamu, Watanabe, Hiroshi

المصدر: Journal of geophysical research / Atmospheres, 118 (3), 1493-1512 ; ISSN: 0148-0227, 2156-2202, 2169-897X, 2169-8996

مصطلحات موضوعية: ddc:550, Earth sciences, info:eu-repo/classification/ddc/550

وصف الملف: application/pdf

العلاقة: info:eu-repo/semantics/altIdentifier/wos/000317839700026; info:eu-repo/semantics/altIdentifier/issn/0148-0227; info:eu-repo/semantics/altIdentifier/issn/2156-2202; info:eu-repo/semantics/altIdentifier/issn/2169-897X; info:eu-repo/semantics/altIdentifier/issn/2169-8996; https://publikationen.bibliothek.kit.edu/1000079990Test; https://publikationen.bibliothek.kit.edu/1000079990/148990209Test; https://doi.org/10.5445/IR/1000079990Test

الإتاحة: https://doi.org/10.5445/IR/1000079990Test
https://doi.org/10.1002/jgrd.50146Test
https://publikationen.bibliothek.kit.edu/1000079990Test
https://publikationen.bibliothek.kit.edu/1000079990/148990209Test

المؤلفون: Chaikovsky, Anatoli, Dubovik, Oleg, Holben, Brent, Bril, Andrey, Goloub, Philippe, Tanré, Didier, Pappalardo, Gelsomina, Wandinger, Ulla, Chaikovskaya, Ludmila, Denisov, Sergey, Grudo, Jan, Lopatin, Anton, Karol, Yana, Lapyonok, Tatsiana, Amiridis, Vassilis, Ansmann, Albert, Apituley, Arnoud, Allados-Arboledas, Lucas, Binietoglou, Ioannis, Boselli, Antonella, D'Amico, Giuseppe, Freudenthaler, Volker, Giles, David, Granados-Muñoz, María José, Kokkalis, Panayotis, Nicolae, Doina, Oshchepkov, Sergey, Papayannis, Alex, Perrone, Maria Rita, Pietruczuk, Alexander, Rocadenbosch, Francesc, Sicard, Michaël, Slutsker, Ilya, Talianu, Camelia, De Tomasi, Ferdinando, Tsekeri, Alexandra, Wagner, Janet, Wang, Xuan

المصدر: eISSN: 1867-8548

الوصف: This paper presents a detailed description of LIRIC (LIdar-Radiometer Inversion Code) algorithm for simultaneous processing of coincident lidar and radiometric (sun photometric) observations for the retrieval of the aerosol concentration vertical profiles. As the lidar/radiometric input data we use measurements from European Aerosol Research Lidar Network (EARLINET) lidars and collocated sun-photometers of Aerosol Robotic Network (AERONET). The LIRIC data processing provides sequential inversion of the combined lidar and radiometric data. The algorithm starts with the estimations of column-integrated aerosol parameters from radiometric measurements followed by the retrieval of height dependent concentrations of fine and coarse aerosols from lidar signals using integrated column characteristics of aerosol layer as a priori constraints. The use of polarized lidar observations allows us to discriminate between spherical and non-spherical particles of the coarse aerosol mode. The LIRIC software package was implemented and tested at a number of EARLINET stations. Intercomparison of the LIRIC-based aerosol retrievals was performed for the observations by seven EARLINET lidars in Leipzig, Germany on 25 May 2009. We found close agreement between the aerosol parameters derived from different lidars that supports high robustness of the LIRIC algorithm. The sensitivity of the retrieval results to the possible reduction of the available observation data is also discussed.

وصف الملف: application/pdf

العلاقة: https://amt.copernicus.org/articles/9/1181/2016Test/

الإتاحة: https://doi.org/10.5194/amt-9-1181-2016Test
https://amt.copernicus.org/articles/9/1181/2016Test/

المؤلفون: Belikov, Dmitry A., Maksyutov, Shamil, Ganshin, Alexander, Zhuravlev, Ruslan, Deutscher, Nicholas M., Wunch, Debra, Feist, Dietrich G., Morino, Isamu, Parker, Robert J., Strong, Kimberly, Yoshida, Yukio, Bril, Andrey, Oshchepkov, Sergey, Boesch, Hartmut, Dubey, Manvendra K., Griffith, David, Hewson, Will, Kivi, Rigel, Mendonca, Joseph, Notholt, Justus, Schneider, Matthias, Sussmann, Ralf, Velazco, Voltaire A., Aoki, Shuji

المصدر: eISSN: 1680-7324

الوصف: The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier transform spectrometers (FTSs) that record near-infrared (NIR) spectra of the sun. From these spectra, accurate and precise observations of CO 2 column-averaged dry-air mole fractions (denoted XCO 2 ) are retrieved. TCCON FTS observations have previously been used to validate satellite estimations of XCO 2 ; however, our knowledge of the short-term spatial and temporal variations in XCO 2 surrounding the TCCON sites is limited. In this work, we use the National Institute for Environmental Studies (NIES) Eulerian three-dimensional transport model and the FLEXPART (FLEXible PARTicle dispersion model) Lagrangian particle dispersion model (LPDM) to determine the footprints of short-term variations in XCO 2 observed by operational, past, future and possible TCCON sites. We propose a footprint-based method for the collocation of satellite and TCCON XCO 2 observations and estimate the performance of the method using the NIES model and five GOSAT (Greenhouse Gases Observing Satellite) XCO 2 product data sets. Comparison of the proposed approach with a standard geographic method shows a higher number of collocation points and an average bias reduction up to 0.15 ppm for a subset of 16 stations for the period from January 2010 to January 2014. Case studies of the Darwin and Reunion Island sites reveal that when the footprint area is rather curved, non-uniform and significantly different from a geographical rectangular area, the differences between these approaches are more noticeable. This emphasises that the collocation is sensitive to local meteorological conditions and flux distributions.

وصف الملف: application/pdf

العلاقة: https://acp.copernicus.org/articles/17/143/2017Test/

الإتاحة: https://doi.org/10.5194/acp-17-143-2017Test
https://acp.copernicus.org/articles/17/143/2017Test/

المؤلفون: Iwasaki, Chisa, Imasu, Ryoichi, Bril, Andrey, Yokota, Tatsuya, Yoshida, Yukio, Morino, Isamu, Oshchepkov, Sergey, Wunch, Debra, Griffith, David W. T., Deutscher, Nicholas M., Kivi, Rigel, Pollard, Dave, Roehl, Coleen M., Velazco, Voltaire A., Sussmann, Ralf, Warneke, Thorsten, Notholt, Justus

المصدر: Scientific online letters on the atmosphere, 13, 168-173 ; ISSN: 1349-6476

مصطلحات موضوعية: ddc:550, Earth sciences, info:eu-repo/classification/ddc/550

وصف الملف: application/pdf

العلاقة: info:eu-repo/semantics/altIdentifier/wos/000432659700005; info:eu-repo/semantics/altIdentifier/issn/1349-6476; https://publikationen.bibliothek.kit.edu/1000074323Test; https://publikationen.bibliothek.kit.edu/1000074323/150293509Test; https://doi.org/10.5445/IR/1000074323Test

الإتاحة: https://doi.org/10.5445/IR/1000074323Test
https://doi.org/10.2151/sola.2017-031Test
https://publikationen.bibliothek.kit.edu/1000074323Test
https://publikationen.bibliothek.kit.edu/1000074323/150293509Test

المؤلفون: Belikov, Dmitry A., Maksyutov, Shamil, Ganshin, Alexander, Zhuravlev, Ruslan, Deutscher, Nicholas M., Wunch, Debra, Feist, G., Dietrich, G., Morino, Isamu, Parker, Robert J., Strong, Kimberly, Yoshida, Yukio, Bril, Andrey, Oshchepkov, Sergey, Boesch, Hartmut, Dubey, Manvendra K., Griffith, David, Hewson, Will, Kivi, Rigel, Mendonca, Joseph, Notholt, Justus, Schneider, Matthias, Sussmann, Ralf, Velazco, Voltaire A., Aoki, Shuji

المصدر: Atmospheric chemistry and physics, 17, 143-157 ; ISSN: 1680-7316, 1680-7324

مصطلحات موضوعية: ddc:550, Earth sciences, info:eu-repo/classification/ddc/550

وصف الملف: application/pdf

العلاقة: info:eu-repo/semantics/altIdentifier/wos/000392198600004; info:eu-repo/semantics/altIdentifier/issn/1680-7316; info:eu-repo/semantics/altIdentifier/issn/1680-7324; https://publikationen.bibliothek.kit.edu/1000064374Test; https://publikationen.bibliothek.kit.edu/1000064374/5950140Test; https://doi.org/10.5445/IR/1000064374Test; http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:swb:90-643741Test

الإتاحة: https://doi.org/10.5445/IR/1000064374Test
https://doi.org/10.5194/acp-17-143-2017Test
https://publikationen.bibliothek.kit.edu/1000064374Test
https://publikationen.bibliothek.kit.edu/1000064374/5950140Test
http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:swb:90-643741Test

المؤلفون: Miatselskaya, Natallia, Milinevsky, Gennadi, Bril, Andrey, Chaikovsky, Anatoly, Miskevich, Alexander, Yukhymchuk, Yuliia

المصدر: Atmosphere; Jan2023, Vol. 14 Issue 1, p32, 12p

مصطلحات موضوعية: AEROSOLS, ATMOSPHERIC aerosols, INTERPOLATION, CHEMICAL models, STATISTICAL correlation

مصطلحات جغرافية: EUROPE

مستخلص: Aerosol optical depth (AOD) is one of the basic characteristics of atmospheric aerosol. A global ground-based network of sun and sky photometers, the Aerosol Robotic Network (AERONET) provides AOD data with low uncertainty. However, AERONET observations are sparse in space and time. To improve data density, we merged AERONET observations with a GEOS-Chem chemical transport model prediction using an optimal interpolation (OI) method. According to OI, we estimated AOD as a linear combination of observational data and a model forecast, with weighting coefficients chosen to minimize a mean-square error in the calculation, assuming a negligible error of AERONET AOD observations. To obtain weight coefficients, we used correlations between model errors in different grid points. In contrast with classical OI, where only spatial correlations are considered, we developed the spatial-temporal optimal interpolation (STOI) technique for atmospheric applications with the use of spatial and temporal correlation functions. Using STOI, we obtained estimates of the daily mean AOD distribution over Europe. To validate the results, we compared daily mean AOD estimated by STOI with independent AERONET observations for two months and three sites. Compared with the GEOS-Chem model results, the averaged reduction of the root-mean-square error of the AOD estimate based on the STOI method is about 25%. The study shows that STOI provides a significant improvement in AOD estimates. [ABSTRACT FROM AUTHOR]

: Copyright of Atmosphere is the property of MDPI and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

المؤلفون: Chaikovsky, Anatoli, Dubovik, Oleg, Holben, Brent, Bril, Andrey, Goloub, Philippe, Tanré, Didier, Pappalardo, Gelsomina, Wandinger, Ulla, Chaikovskaya, Ludmila, Denisov, Sergey, Grudo, Jan, Lopatin, Anton, Karol, Yana, Lapyonok, Tatsiana, Amiridis, Vassilis, Ansmann, Albert, Apituley, Arnoud, Allados-Arboledas, Lucas, Binietoglou, Ioannis, Boselli, Antonella, d'Amico, Giuseppe, Freudenthaler, Volker, Giles, David, José Granados-Muñoz, María, Kokkalis, Panayotis, Nicolae, Doina, Oshchepkov, Sergey, Papayannis, Alex, Perrone, Maria Rita, Pietruczuk, Alexander, Rocadenbosch, Francesc, Sicard, Michaël, Slutsker, Ilya, Talianu, Camelia, de Tomasi, Ferdinando, Tsekeri, Alexandra, Wagner, Janet, Wang, Xuan

المساهمون: Laboratoire d’Optique Atmosphérique - UMR 8518 (LOA), Institut national des sciences de l'Univers (INSU - CNRS)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)

المصدر: ISSN: 1867-1381.

مصطلحات موضوعية: [SDU]Sciences of the Universe [physics]

الوصف: International audience ; This paper presents a detailed description of LIRIC (LIdar-Radiometer Inversion Code) algorithm for simultaneous processing of coincident lidar and radiometric (sun photometric) observations for the retrieval of the aerosol concentration vertical profiles. As the lidar/radiometric input data we use measurements from European Aerosol Research Lidar Network (EARLINET) lidars and collocated sun-photometers of Aerosol Robotic Network (AERONET). The LIRIC data processing provides sequential inversion of the combined lidar and radiometric data. The algorithm starts with the estimations of column-integrated aerosol parameters from radiometric measurements followed by the retrieval of height dependent concentrations of fine and coarse aerosols from lidar signals using integrated column characteristics of aerosol layer as a priori constraints. The use of polarized lidar observations allows us to discriminate between spherical and non-spherical particles of the coarse aerosol mode.The LIRIC software package was implemented and tested at a number of EARLINET stations. Intercomparison of the LIRIC-based aerosol retrievals was performed for the observations by seven EARLINET lidars in Leipzig, Germany on 25 May 2009. We found close agreement between the aerosol parameters derived from different lidars that supports high robustness of the LIRIC algorithm. The sensitivity of the retrieval results to the possible reduction of the available observation data is also discussed.

العلاقة: insu-03686213; https://insu.hal.science/insu-03686213Test; https://insu.hal.science/insu-03686213/documentTest; https://insu.hal.science/insu-03686213/file/amt-9-1181-2016.pdfTest; BIBCODE: 2016AMT.9.1181C

الإتاحة: https://doi.org/10.5194/amt-9-1181-2016Test
https://insu.hal.science/insu-03686213Test
https://insu.hal.science/insu-03686213/documentTest
https://insu.hal.science/insu-03686213/file/amt-9-1181-2016.pdfTest