Articles | Volume 18, issue 2
https://doi.org/10.5194/acp-18-655-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-18-655-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
19 Jan 2018
Research article |
| 19 Jan 2018
An overview of mesoscale aerosol processes, comparisons, and validation studies from DRAGON networks
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Jhoon Kim
Department of Atmosphere Sciences/IEAA BK 21 plus, Yonsei University,
Seoul, Korea
Itaru Sano
Faculty of Science and Engineering, Kindai University, Higashi-Osaka,
Japan
Sonoyo Mukai
The Kyoto College of Graduate Studies for Informatics, Kyoto, Japan
Thomas F. Eck
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Universities Space Research Association, GESTAR, Columbia, MD, USA
David M. Giles
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Science Systems and Applications, Inc., Lanham, MD, USA
Joel S. Schafer
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Science Systems and Applications, Inc., Lanham, MD, USA
Aliaksandr Sinyuk
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Science Systems and Applications, Inc., Lanham, MD, USA
Ilya Slutsker
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Science Systems and Applications, Inc., Lanham, MD, USA
Alexander Smirnov
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Science Systems and Applications, Inc., Lanham, MD, USA
Mikhail Sorokin
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Science Systems and Applications, Inc., Lanham, MD, USA
Bruce E. Anderson
NASA LRC, Hampton, VA, USA
Huizheng Che
Chinese Academy of Meteorological Sciences, China Meteorological
Administration, Beijing, China
Myungje Choi
Department of Atmosphere Sciences/IEAA BK 21 plus, Yonsei University,
Seoul, Korea
James H. Crawford
NASA LRC, Hampton, VA, USA
Richard A. Ferrare
NASA LRC, Hampton, VA, USA
Michael J. Garay
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA, USA
Ukkyo Jeong
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Mijin Kim
Department of Atmosphere Sciences/IEAA BK 21 plus, Yonsei University,
Seoul, Korea
Woogyung Kim
Department of Atmosphere Sciences/IEAA BK 21 plus, Yonsei University,
Seoul, Korea
Nichola Knox
Namibia University of Science and Technology, Windhoek, Namibia
Zhengqiang Li
Institute of Remote Sensing and Digital Earth, Chinese Academy of
Sciences, Beijing, China
Hwee S. Lim
School of Physics, Universiti Sains Malaysia, 11800 Penang, Malaysia
Department of Environmental Health, Rollins School of Public Health,
Emory University, Atlanta, GA, USA
Hal Maring
NASA Headquarters, Washington, DC, USA
Makiko Nakata
Faculty of Applied Sociology, Kindai University, Higashi-Osaka, Japan
Kenneth E. Pickering
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Stuart Piketh
North-West University, Potchefstroom, South Africa
Jens Redemann
NASA Ames Research Center, Moffett Field, CA, USA
Jeffrey S. Reid
Naval Research Laboratory, Monterey, CA, USA
Santo Salinas
Singapore National University, Center for Imaging, Sensing and
Processing, Singapore, Singapore
Korea Polar Research Institute, Incheon, South Korea
School of Physics, Universiti Sains Malaysia, 11800 Penang, Malaysia
currently at: DISTED College, Penang, Malaysia
Sachchida N. Tripathi
Indian Institute of Technology Kanpur, Kanpur, India
Owen B. Toon
University of Colorado, Boulder, CO, USA
Qingyang Xiao
Department of Environmental Health, Rollins School of Public Health,
Emory University, Atlanta, GA, USA
Abstract. 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 continents and many oceanic island and coastal sites. The measurements and retrievals from the AERONET global network have addressed satellite and model validation needs very well, but there have been challenges in making comparisons to similar parameters from in situ surface and airborne measurements. Additionally, with improved spatial and temporal satellite remote sensing of aerosols, there is a need for higher spatial-resolution ground-based remote-sensing networks. An effort to address these needs resulted in a number of field campaign networks called Distributed Regional Aerosol Gridded Observation Networks (DRAGONs) that were designed to provide a database for in situ and remote-sensing comparison and analysis of local to mesoscale variability in aerosol properties. This paper describes the DRAGON deployments that will continue to contribute to the growing body of research related to meso- and microscale aerosol features and processes. The research presented in this special issue illustrates the diversity of topics that has resulted from the application of data from these networks.
Download & links
Download & links
- Article
(2888 KB) - Full-text XML
- BibTeX
- EndNote
How to cite. Holben, B. N., Kim, J., Sano, I., Mukai, S., Eck, T. F., Giles, D. M., Schafer, J. S., Sinyuk, A., Slutsker, I., Smirnov, A., Sorokin, M., Anderson, B. E., Che, H., Choi, M., Crawford, J. H., Ferrare, R. A., Garay, M. J., Jeong, U., Kim, M., Kim, W., Knox, N., Li, Z., Lim, H. S., Liu, Y., Maring, H., Nakata, M., Pickering, K. E., Piketh, S., Redemann, J., Reid, J. S., Salinas, S., Seo, S., Tan, F., Tripathi, S. N., Toon, O. B., and Xiao, Q.: An overview of mesoscale aerosol processes, comparisons, and validation studies from DRAGON networks, Atmos. Chem. Phys., 18, 655–671, https://doi.org/10.5194/acp-18-655-2018, 2018.
Short summary
Aerosol particles, such as smoke, vary over space and time. This paper describes a series of very high-resolution ground-based aerosol measurement networks and associated studies that contributed new understanding of aerosol processes and detailed comparisons to satellite aerosol validation. Significantly, these networks also provide an opportunity to statistically relate grab samples of an aerosol parameter to companion satellite observations, a step toward air quality assessment from space.
Aerosol particles, such as smoke, vary over space and time. This paper describes a series of...
Altmetrics
Final-revised paper
Preprint