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contributor authorDiner, David J.
contributor authorAckerman, Thomas P.
contributor authorAnderson, Theodore L.
contributor authorBösenberg, Jens
contributor authorBraverman, Amy J.
contributor authorCharlson, Robert J.
contributor authorCollins, William D.
contributor authorDavies, Roger
contributor authorHolben, Brent N.
contributor authorHostetler, Chris A.
contributor authorKahn, Ralph A.
contributor authorMartonchik, John V.
contributor authorMenzies, Robert T.
contributor authorMiller, Mark A.
contributor authorOgren, John A.
contributor authorPenner, Joyce E.
contributor authorRasch, Philip J.
contributor authorSchwartz, Stephen E.
contributor authorSeinfeld, John H.
contributor authorStephens, Graeme L.
contributor authorTorres, Omar
contributor authorTravis, Larry D.
contributor authorWielicki, Bruce A.
contributor authorYu, Bin
date accessioned2017-06-09T16:42:22Z
date available2017-06-09T16:42:22Z
date copyright2004/10/01
date issued2004
identifier issn0003-0007
identifier otherams-72636.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4214661
description abstractAerosols 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.
publisherAmerican Meteorological Society
titlePARAGON: An Integrated Approach for Characterizing Aerosol Climate Impacts and Environmental Interactions
typeJournal Paper
journal volume85
journal issue10
journal titleBulletin of the American Meteorological Society
identifier doi10.1175/BAMS-85-10-1491
journal fristpage1491
journal lastpage1501
treeBulletin of the American Meteorological Society:;2004:;volume( 085 ):;issue: 010
contenttypeFulltext


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