2016
DOI: 10.5194/amt-9-2463-2016
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Monitoring and tracking the trans-Pacific transport of aerosols using multi-satellite aerosol optical depth composites

Abstract: Abstract. The primary goal of this study was to generate a near-real time (NRT) aerosol optical depth (AOD) product capable of providing a comprehensive understanding of the aerosol spatial distribution over the Pacific Ocean, in order to better monitor and track the trans-Pacific transport of aerosols. Therefore, we developed a NRT product that takes advantage of observations from both low-earth orbiting and geostationary satellites. In particular, we utilize AOD products from the Moderate Resolution Imaging … Show more

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Cited by 14 publications
(10 citation statements)
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“…4 and S8). AOD peaks in Europe in 2002, in ChinaSE in 2006 and 2014, (possibly related to changes in anthropogenic emissions; Sogacheva et al, 2018a, b). Relative AOD peaks over the Atlantic dust area in 1998, 2012 and 2015 (Peyridieu et al, 2013), and obvious AOD peaks in Indonesia related to the intensive forest fires in 1997, 2002, 2006(Chang et al, 2015Shi et al, 2019) are clearly seen.…”
Section: Aod Time Seriesmentioning
confidence: 99%
“…4 and S8). AOD peaks in Europe in 2002, in ChinaSE in 2006 and 2014, (possibly related to changes in anthropogenic emissions; Sogacheva et al, 2018a, b). Relative AOD peaks over the Atlantic dust area in 1998, 2012 and 2015 (Peyridieu et al, 2013), and obvious AOD peaks in Indonesia related to the intensive forest fires in 1997, 2002, 2006(Chang et al, 2015Shi et al, 2019) are clearly seen.…”
Section: Aod Time Seriesmentioning
confidence: 99%
“…CC BY 4.0 License. Naeger et al (2016) combined daily AOD products from polar-orbiting and geostationary satellites to generate a near-realtime (NRT) daily AOD composite product for a case study of trans-Pacific transport of Asian pollution and dust aerosols in mid-March 2014. Li et al (2016a) constructed a monthly mean AOD ensemble by combining monthly AOD anomaly time series from five widely used satellite products (MODIS, MISR, SeaWiFS, OMI and POLDER) and applying an Ensemble Kalman Filter technique to these multi-sensor and ground-based aerosol observations to reduce uncertainties.…”
Section: Introductionmentioning
confidence: 99%
“…In addition, the use of multiple satellite instruments, with different characteristics, is proposed to obtain more accurate information on the transport of aerosols and trace gases and their vertical distribution (e.g. Naeger et al, 2016). Recently, a technique has been demonstrated that makes it possible to derive CCN (cloud condensation nuclei) concentrations at cloud base using remote sensing of cloud properties (Rosenfeld et al, 2016).…”
Section: Main Pollutantsmentioning
confidence: 99%