2009
DOI: 10.1007/s00382-009-0687-4
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Arctic oscillation and the interannual variability of dust emissions from the Tarim Basin: a TOMS AI based study

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Cited by 26 publications
(16 citation statements)
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“…In this work we tried different ENSO indices and found that ENSO explains 14% of the variability in KD, implying that inter-annual variability of KD cases has some climate-related explanation. Previous studies have found climate links with desert dust emissions: Gao and Washington (2010) found that the Arctic Oscillation is associated with dust emissions in China; Bryant et al (2007) found that ENSO is related to dust emissions from the Kalahari desert and Pey et al (2013) found that African dust loads on the Mediterranean basin are associated with the North Atlantic oscillation. Hence we conclude that climate scale phenomena should be included in the analysis of KD data worldwide, at least at an early stage to check whether its effect is significant or not, especially in terms of understanding KD global seasonality.…”
Section: Discussionmentioning
confidence: 97%
“…In this work we tried different ENSO indices and found that ENSO explains 14% of the variability in KD, implying that inter-annual variability of KD cases has some climate-related explanation. Previous studies have found climate links with desert dust emissions: Gao and Washington (2010) found that the Arctic Oscillation is associated with dust emissions in China; Bryant et al (2007) found that ENSO is related to dust emissions from the Kalahari desert and Pey et al (2013) found that African dust loads on the Mediterranean basin are associated with the North Atlantic oscillation. Hence we conclude that climate scale phenomena should be included in the analysis of KD data worldwide, at least at an early stage to check whether its effect is significant or not, especially in terms of understanding KD global seasonality.…”
Section: Discussionmentioning
confidence: 97%
“…A further comparison with the TOMS (Total Ozone Mapping Spectrometer) data does not show the same result. It is important to mention that the TOMS aerosol index (AI) has as a major limitation the inability to detect dust occurring at or near the surface since the ground signal can overwhelm the dust signal (Herman et al 1997; Gao & Washington 2010). The 2002 dust recorded by our ground‐based dust sensor could be confined to the lowermost layers of the atmosphere, which might explain why it could not be seen by TOMS.…”
Section: Seasonal Distribution Of Dust In Background and Dusty Condmentioning
confidence: 99%
“…It is also a large source of global dust production (Zhang et al, 2003;Yang et al, 2007), and produces the world's greatest loess deposits (Derbyshire et al, 1998). Advanced numerical models, satellite remote sensing, GIS data, and Total Ozone Mapping Spectrometer data (Shao et al, 2002(Shao et al, , 2003Gao & Washington, 2009, 2010a, 2010b, confirm that the Taklamakan Desert is the region where dust events occur most frequently in northwestern China. However, the provenance of the silt and clay that makes up a significant fraction of storm dust events and windblown sand and dust activities in the Taklamakan Desert has not yet been identified definitively.…”
mentioning
confidence: 93%
“…Intensive windblown sand activities in deserts and the related topic of global Aeolian dust provenance have been the topic of much study (e.g., Bagnold, 1941;Sharp, 1964;Zhu et al, 1981;Gillette & Passi, 1988;Marticorena & Bergametti, 1995;Shao, 2003;Yang et al, 2007;Gao & Washington, 2009, 2010a, 2010b. Petrologic and geochemical investigations of Aeolian sediments have conventionally been used to examine their provenance and transport pathways in desert areas (Zhu et al, 1981;Basu & Molinaroli, 1989;Carranza-Edwards et al, 2001;Yang et al, 2002;Yang et al, 2007;Muhs et al, 2003;Muhs, 2004;Kasper-Zubillaga et al, 2006).…”
mentioning
confidence: 98%