Zobrazeno 1 - 10
of 277
pro vyhledávání: '"F. Eck"'
Autor:
M. Choi, A. Lyapustin, G. L. Schuster, S. Go, Y. Wang, S. Korkin, R. Kahn, J. S. Reid, E. J. Hyer, T. F. Eck, M. Chin, D. J. Diner, O. Kalashnikova, O. Dubovik, J. Kim, H. Moosmüller
Publikováno v:
Atmospheric Chemistry and Physics, Vol 24, Pp 10543-10565 (2024)
Wildfires and agricultural burning generate seemingly increasing smoke aerosol emissions, impacting societal and natural ecosystems. To understand smoke's effects on climate and public health, we analyzed the spatiotemporal distribution of smoke aero
Externí odkaz:
https://doaj.org/article/5edd7315ef1048f29bc768ef911f0b1e
Autor:
P. Xian, J. S. Reid, M. Ades, A. Benedetti, P. R. Colarco, A. da Silva, T. F. Eck, J. Flemming, E. J. Hyer, Z. Kipling, S. Rémy, T. T. Sekiyama, T. Tanaka, K. Yumimoto, J. Zhang
Publikováno v:
Atmospheric Chemistry and Physics, Vol 24, Pp 6385-6411 (2024)
The emergence of aerosol reanalyses in recent years has facilitated a comprehensive and systematic evaluation of aerosol optical depth (AOD) trends and attribution over multi-decadal timescales. Notable multi-year aerosol reanalyses currently availab
Externí odkaz:
https://doaj.org/article/853ad2e1df0847399b09a5d542e9ffe7
Autor:
J. S. Schafer, T. F. Eck, B. N. Holben, K. L. Thornhill, L. D. Ziemba, P. Sawamura, R. H. Moore, I. Slutsker, B. E. Anderson, A. Sinyuk, D. M. Giles, A. Smirnov, A. J. Beyersdorf, E. L. Winstead
Publikováno v:
Atmospheric Measurement Techniques, Vol 12, Pp 5289-5301 (2019)
Aerosol volume size distribution (VSD) retrievals from the Aerosol Robotic Network (AERONET) aerosol monitoring network were obtained during multiple DRAGON (Distributed Regional Aerosol Gridded Observational Network) campaigns conducted in Maryland,
Externí odkaz:
https://doaj.org/article/24b551170e144554a653f695d4b6ffdd
Autor:
M. Choi, H. Lim, J. Kim, S. Lee, T. F. Eck, B. N. Holben, M. J. Garay, E. J. Hyer, P. E. Saide, H. Liu
Publikováno v:
Atmospheric Measurement Techniques, Vol 12, Pp 4619-4641 (2019)
Recently launched multichannel geostationary Earth orbit (GEO) satellite sensors, such as the Geostationary Ocean Color Imager (GOCI) and the Advanced Himawari Imager (AHI), provide aerosol products over East Asia with high accuracy, which enables th
Externí odkaz:
https://doaj.org/article/2baf0c84b6ba4583a059c0115102c8dc
Publikováno v:
Atmospheric Chemistry and Physics, Vol 19, Pp 259-274 (2019)
The Indonesian fire and smoke event of 2015 was an extreme episode that affected public health and caused severe economic and environmental damage. The MODIS Dark Target (DT) aerosol algorithm, developed for global applications, significantly underes
Externí odkaz:
https://doaj.org/article/6d1d6919f62f4f0eb8092c77e0887d1a
Autor:
Norman T. O'Neill, Keyvan Ranjbar, Liviu Ivănescu, Thomas F. Eck, Jeffrey S. Reid, David M. Giles, Daniel Pérez-Ramírez, Jai Prakash Chaubey
Publikováno v:
Atmospheric Measurement Techniques. 16:1103-1120
The sub-micron (SM) aerosol optical depth (AOD) is an optical separation based on the fraction of particles below a specified cutoff radius of the particle size distribution (PSD) at a given particle radius. It is fundamentally different from spectra
Autor:
Carolyn E. Jordan, James H. Crawford, Andreas J. Beyersdorf, Thomas F. Eck, Hannah S. Halliday, Benjamin A. Nault, Lim-Seok Chang, JinSoo Park, Rokjin Park, Gangwoong Lee, Hwajin Kim, Jun-young Ahn, Seogju Cho, Hye Jung Shin, Jae Hong Lee, Jinsang Jung, Deug-Soo Kim, Meehye Lee, Taehyoung Lee, Andrew Whitehill, James Szykman, Melinda K. Schueneman, Pedro Campuzano-Jost, Jose L. Jimenez, Joshua P. DiGangi, Glenn S. Diskin, Bruce E. Anderson, Richard H. Moore, Luke D. Ziemba, Marta A. Fenn, Johnathan W. Hair, Ralph E. Kuehn, Robert E. Holz, Gao Chen, Katherine Travis, Michael Shook, David A. Peterson, Kara D. Lamb, Joshua P. Schwarz
Publikováno v:
Elementa: Science of the Anthropocene, Vol 8, Iss 1 (2020)
The Korea – United States Air Quality Study (May – June 2016) deployed instrumented aircraft and ground-based measurements to elucidate causes of poor air quality related to high ozone and aerosol concentrations in South Korea. This work synthesi
Externí odkaz:
https://doaj.org/article/06f53b4b7d754e6196fbf02d707bf43b
Autor:
H. Che, B. Qi, H. Zhao, X. Xia, T. F. Eck, P. Goloub, O. Dubovik, V. Estelles, E. Cuevas-Agulló, L. Blarel, Y. Wu, J. Zhu, R. Du, Y. Wang, H. Wang, K. Gui, J. Yu, Y. Zheng, T. Sun, Q. Chen, G. Shi, X. Zhang
Publikováno v:
Atmospheric Chemistry and Physics, Vol 18, Pp 405-425 (2018)
Aerosol pollution in eastern China is an unfortunate consequence of the region's rapid economic and industrial growth. Here, sun photometer measurements from seven sites in the Yangtze River Delta (YRD) from 2011 to 2015 were used to characterize
Externí odkaz:
https://doaj.org/article/3b060b14f6a049d1b84d687fb92f77e7
An overview of mesoscale aerosol processes, comparisons, and validation studies from DRAGON networks
Autor:
B. N. Holben, J. Kim, I. Sano, S. Mukai, T. F. Eck, D. M. Giles, J. S. Schafer, A. Sinyuk, I. Slutsker, A. Smirnov, M. Sorokin, B. E. Anderson, H. Che, M. Choi, J. H. Crawford, R. A. Ferrare, M. J. Garay, U. Jeong, M. Kim, W. Kim, N. Knox, Z. Li, H. S. Lim, Y. Liu, H. Maring, M. Nakata, K. E. Pickering, S. Piketh, J. Redemann, J. S. Reid, S. Salinas, S. Seo, F. Tan, S. N. Tripathi, O. B. Toon, Q. Xiao
Publikováno v:
Atmospheric Chemistry and Physics, Vol 18, Pp 655-671 (2018)
Over the past 24 years, the AErosol RObotic NETwork (AERONET) program has provided highly accurate remote-sensing characterization of aerosol optical and physical properties for an increasingly extensive geographic distribution including all conti
Externí odkaz:
https://doaj.org/article/927e28bb64644449b0ed1f0125743abf
Publikováno v:
Atmospheric Measurement Techniques, Vol 11, Pp 385-408 (2018)
The Geostationary Ocean Color Imager (GOCI) Yonsei aerosol retrieval (YAER) version 1 algorithm was developed to retrieve hourly aerosol optical depth at 550 nm (AOD) and other subsidiary aerosol optical properties over East Asia. The GOCI YAER AO
Externí odkaz:
https://doaj.org/article/fa1e0172246c4002ad05137cab7bb3e1