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          Document History for Document ID 223487

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Document Version Version Comment Date Status
223487.0 Automatic journal name synchronization 11.06.2005 23:22 Released

ID: 223487.0, MPI für Meteorologie / Climate Processes
PARAGON - An integrated approach for characterizing aerosol climate impacts and environmental interactions
Authors:Diner, D. J.; Ackerman, T. P.; Anderson, T. L.; Bösenberg, Jens; Braverman, A. J.; Charlson, R. J.; Collins, W. D.; Davies, R.; Holben, B. N.; Hostetler, C. A.; Kahn, R. A.; Martonchik, J. V.; Menzies, R. T.; Miller, M. A.; Ogren, J. A.; Penner, J. E.; Rasch, P. J.; Schwartz, S. E.; Seinfeld, J. H.; Stephens, G. L.; Torres, O.; Travis, L. D.; Wielicki, B. A.; Yu, B.
Language:English
Date of Publication (YYYY-MM-DD):2004-10
Title of Journal:Bulletin of the American Meteorological Society
Journal Abbrev.:Bull. Amer. Meteorol. Soc.
Volume:85
Issue / Number:10
Start Page:1491
End Page:1501
Review Status:Peer-review
Audience:Not Specified
Abstract / Description:Aerosols exert myriad influences on the earth's environment and climate, and on human health. The complexity of aerosol-related processes requires that information gathered to improve our understanding of climate change must originate from multiple sources, and that effective strategies for data integration need to be established. While a vast array of observed and modeled data are becoming available, the aerosol research community currently lacks the necessary tools and infrastructure to reap maximum scientific benefit from these data. Spatial and temporal sampling differences among a diverse set of sensors, nonuniform data qualities, aerosol mesoscale variabilities, and difficulties in separating cloud effects are some of the challenges that need to be addressed. Maximizing the long-term benefit from these data also requires maintaining consistently well-understood accuracies as measurement approaches evolve and improve. Achieving a comprehensive understanding of how aerosol physical, chemical, and radiative processes impact the earth system can be achieved only through a multidisciplinary, inter-agency, and international initiative capable of dealing with these issues. A systematic approach, capitalizing on modern measurement and modeling techniques, geospatial statistics methodologies, and high-performance information technologies, can provide the necessary machinery to support this objective. We outline a framework for integrating and interpreting observations and models, and establishing an accurate, consistent, and cohesive long-term record, following a strategy whereby information and tools of progressively greater sophistication are incorporated as problems of increasing complexity are tackled. This concept is named the Progressive Aerosol Retrieval and Assimilation Global Observing Network (PARAGON). To encompass the breadth of the effort required, we present a set of recommendations dealing with data interoperability; measurement and model integration; multisensor synergy; data summarization and mining; model evaluation; calibration and validation; augmentation of surface and in situ measurements; advances in passive and active remote sensing; and design of satellite missions. Without an initiative of this nature, the scientific and policy communities will continue to struggle with understanding the quantitative impact of complex aerosol processes on regional and global climate change and air quality
Free Keywords:POLLUTION; ALBEDO
External Publication Status:published
Document Type:Article
Version Comment:Automatic journal name synchronization
Affiliations:MPI für Meteorologie/Climate Processes/Active Remote Sensing
External Affiliations:CALTECH, Jet Prop Lab, Pasadena, CA 91109 USA.; Pacific NW Natl Lab, Richland, WA USA.; Univ Washington, Seattle, WA 98195 USA.; Natl Ctr Atmospher Res, Boulder, CO 80307 USA.; NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA.; NASA, Langley Res Ctr, Hampton, VA 23665 USA.; Brookhaven Natl Lab, Upton, NY 11973 USA.; NOAA, Climate Monitoring & Diagnost Lab, Boulder, CO 80303 USA.; Univ Michigan, Ann Arbor, MI 48109 USA.; CALTECH, Pasadena, CA 91125 USA.; Colorado State Univ, Ft Collins, CO 80523 USA.; Univ Maryland Baltimore Cty, Baltimore, MD 21228 USA.; NASA, Goddard Inst Space Studies, New York, NY 10025 USA.; Univ Calif Berkeley, Berkeley, CA 94720 USA.
Identifiers:ISI:000224689900010
ISSN:0003-0007
DOI:10.1175/BAMS-85-10-1491
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