Computer Science – Sound
Scientific paper
Sep 2011
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011georl..3817806z&link_type=abstract
Geophysical Research Letters, Volume 38, Issue 17, CiteID L17806
Computer Science
Sound
1
Atmospheric Processes: Climate Change And Variability (1616, 1635, 3309, 4215, 4513), Atmospheric Processes: Boundary Layer Processes
Scientific paper
Because of potential connections between changes in the characteristics of surface-based inversions (SBIs) and other Arctic climate trends, and because of the availability of radiosonde observations from the 1950s to present, one might seek to investigate Arctic SBI trends using radiosonde data. However, changes in observational methods, particularly those affecting sounding vertical resolution, introduce artificial changes in radiosonde representations of SBIs that degrade trend estimates. SBI intensity and depth data are particularly sensitive to this problem, but frequency of SBI occurrence is more robust. Most previous investigations of Arctic SBI trends have erroneously neglected or dismissed this issue. Based on SBI data from the few Arctic stations with homogeneous records during 1990-2009, most trends are not statistically significant, and no clear patterns of SBI change emerge. Among the significant trends, we find SBI intensity trends are positively associated with SBI depth trends, but negatively correlated with the surface temperature trends.
Seidel Dian J.
Zhang Yehui
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