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LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00004470naa a2200733 4500
001oai:DiVA.org:su-148899
003SwePub
008171120s2017 | |||||||||||000 ||eng|
024a https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-1488992 URI
024a https://doi.org/10.1175/BAMS-D-15-00317.12 DOI
040 a (SwePub)su
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
100a Reddington, C. L.4 aut
2451 0a THE GLOBAL AEROSOL SYNTHESIS AND SCIENCE PROJECT (GASSP) :b Measurements and Modeling to Reduce Uncertainty
264 1c 2017
338 a print2 rdacarrier
520 a The largest uncertainty in the historical radiative forcing of climate is caused by changes in aerosol particles due to anthropogenic activity. Sophisticated aerosol microphysics processes have been included in many climate models in an effort to reduce the uncertainty. However, the models are very challenging to evaluate and constrain because they require extensive in situ measurements of the particle size distribution, number concentration, and chemical composition that are not available from global satellite observations. The Global Aerosol Synthesis and Science Project (GASSP) aims to improve the robustness of global aerosol models by combining new methodologies for quantifying model uncertainty, to create an extensive global dataset of aerosol in situ microphysical and chemical measurements, and to develop new ways to assess the uncertainty associated with comparing sparse point measurements with low-resolution models. GASSP has assembled over 45,000 hours of measurements from ships and aircraft as well as data from over 350 ground stations. The measurements have been harmonized into a standardized format that is easily used by modelers and nonspecialist users. Available measurements are extensive, but they are biased to polluted regions of the Northern Hemisphere, leaving large pristine regions and many continental areas poorly sampled. The aerosol radiative forcing uncertainty can be reduced using a rigorous model-data synthesis approach. Nevertheless, our research highlights significant remaining challenges because of the difficulty of constraining many interwoven model uncertainties simultaneously. Although the physical realism of global aerosol models still needs to be improved, the uncertainty in aerosol radiative forcing will be reduced most effectively by systematically and rigorously constraining the models using extensive syntheses of measurements.
650 7a NATURVETENSKAPx Geovetenskap och miljövetenskap0 (SwePub)1052 hsv//swe
650 7a NATURAL SCIENCESx Earth and Related Environmental Sciences0 (SwePub)1052 hsv//eng
700a Carslaw, K. S.4 aut
700a Stier, P.4 aut
700a Schutgens, N.4 aut
700a Coe, H.4 aut
700a Liu, D.4 aut
700a Allan, J.4 aut
700a Browse, J.4 aut
700a Pringle, K. J.4 aut
700a Lee, L. A.4 aut
700a Yoshioka, M.4 aut
700a Johnson, J. S.4 aut
700a Regayre, L. A.4 aut
700a Spracklen, D. V.4 aut
700a Mann, G. W.4 aut
700a Clarke, A.4 aut
700a Hermann, M.4 aut
700a Henning, S.4 aut
700a Wex, H.4 aut
700a Kristensen, T. B.4 aut
700a Leaitch, W. R.4 aut
700a Poeschl, U.4 aut
700a Rose, D.4 aut
700a Andreae, M. O.4 aut
700a Schmale, J.4 aut
700a Kondo, Y.4 aut
700a Oshima, N.4 aut
700a Schwarz, J. P.4 aut
700a Nenes, A.4 aut
700a Andersrson, B.4 aut
700a Roberts, G. C.4 aut
700a Snider, J. R.4 aut
700a Leck, Carolineu Stockholms universitet,Meteorologiska institutionen (MISU)4 aut0 (Swepub:su)leck
700a Quinn, P. K.4 aut
700a Chi, X.4 aut
700a Ding, A.4 aut
700a Jimenez, J. L.4 aut
700a Zhang, Q.4 aut
710a Stockholms universitetb Meteorologiska institutionen (MISU)4 org
773t Bulletin of The American Meteorological Society - (BAMS)g 98:9, s. 1857-1877q 98:9<1857-1877x 0003-0007x 1520-0477
856u https://doi.org/10.1175/BAMS-D-15-00317.1y Fulltext
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-148899
8564 8u https://doi.org/10.1175/BAMS-D-15-00317.1

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