Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Joel S. Schafer"'
Autor:
Fernando G. Morais, Marco A. Franco, Rafael Palácios, Luiz A. T. Machado, Luciana V. Rizzo, Henrique M. J. Barbosa, Fabio Jorge, Joel S. Schafer, Brent N. Holben, Eduardo Landulfo, Paulo Artaxo
Publikováno v:
Atmosphere, Vol 13, Iss 8, p 1328 (2022)
The aerosol radiative effect is an important source of uncertainty in estimating the anthropogenic impact of global climate change. One of the main open questions is the role of radiation absorption by aerosols and its relation to land use worldwide,
Externí odkaz:
https://doaj.org/article/4bd01a5b23d6466aad2b027882cbfc21
Autor:
Thomas F. Eck, Brent N. Holben, Jeffrey S. Reid, Alexander Sinyuk, David M. Giles, Antti Arola, Ilya Slutsker, Joel S. Schafer, Mikhail G. Sorokin, Alexander Smirnov, Anthony D. LaRosa, Jason Kraft, Elizabeth A. Reid, Norman T. O'Neill, E.J. Welton, Arsenio R. Menendez
Publikováno v:
Atmospheric Environment. 305:119798
Autor:
Alexander Sinyuk, Brent N. Holben, Thomas F. Eck, David M. Giles, Ilya Slutsker, Oleg Dubovik, Joel S. Schafer, Alexander Smirnov, Mikhail Sorokin
Publikováno v:
Atmospheric Measurement Techniques
Atmospheric Measurement Techniques, 2022, 15, pp.4135-4151. ⟨10.5194/amt-15-4135-2022⟩
Atmospheric Measurement Techniques, 2022, 15, pp.4135-4151. ⟨10.5194/amt-15-4135-2022⟩
In the Aerosol Robotic Network (AERONET) aerosol retrieval algorithm, smoothness constraints on the imaginary part of the refractive index (IPRI) provide control of retrieved spectral dependence of aerosol absorption by preventing the inversion code
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b4cc68ab886046d4c554552ee2e9a6c
https://amt.copernicus.org/preprints/amt-2022-60/
https://amt.copernicus.org/preprints/amt-2022-60/
Autor:
Joel S. Schafer, Tom F. Eck, Brent N. Holben, Kenneth L. Thornhill, Luke D. Ziemba, Patricia Sawamura, Ilya Slutsker, Bruce E. Anderson, Alexander Sinyuk, David Giles, Alexander Smirnov, Andreas J. Beyersdorf, Edward L. Winstead
Aerosol volume size distributions (VSD) retrievals from the Aerosol Robotic Network (AERONET) aerosol monitoring network were obtained during multiple DRAGON (Distributed Regional Aerosol Gridded Observational Network) conducted in Maryland, Californ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77094581e88d79baa9e5c75330a831ab
https://www.atmos-meas-tech-discuss.net/amt-2019-90/
https://www.atmos-meas-tech-discuss.net/amt-2019-90/
Autor:
David M. Giles, Alexander Sinyuk, Mikhail S. Sorokin, Joel S. Schafer, Alexander Smirnov, Ilya Slutsker, Thomas F. Eck, Brent N. Holben, Jasper Lewis, James Campbell, Ellsworth J. Welton, Sergey Korkin, Alexei Lyapustin
The Aerosol Robotic Network (AERONET) provides highly accurate, ground-truth measurements of the aerosol optical depth (AOD) using Cimel Electronique Sun/Sky radiometers for more than 25 years. In Version 2 (V2) of the AERONET database, the near real
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::898dea679b724dfdd55b05c9185c7c56
https://doi.org/10.5194/amt-2018-272
https://doi.org/10.5194/amt-2018-272
Autor:
Brent N. Holben, Jhoon Kim, Itaru Sano, Sony Mukai, Thomas F. Eck, David M. Giles, Joel S. Schafer, Aliaksandr Sinyuk, Ilya Slutsker, Alexander Smirnov, Mikhail Sorokin, Bruce E. Anderson, Huizheng Che, Myungje Choi, James E. Crawford, Richard A. Ferrare, Michael J. Garay, Ukkyo Jeong, Mijin Kim, Woogyung Kim, Nichola Knox, Zhengqiang Li, Hwee S. Lim, Yang Liu, Hal Maring, Makiko Nakata, Kenneth E. Pickering, Stuart Piketh, Jens Redemenn, Jeffrey S. Reid, Santo Salinas, Sora Seo, Fuyi Tan, Sachchida N. Tripathi, Owen B. Toon, Qingyang Xiao
The AErosol RObotic NETwork (AERONET) program over the past 24 years has provided highly accurate remote sensing characterization of aerosol optical and physical properties for an increasingly extensive geographic distribution that includes all conti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6cf198d0dd4b268fd217babe7ef6c02
https://doi.org/10.5194/acp-2016-1182
https://doi.org/10.5194/acp-2016-1182