2005
DOI: 10.2151/sola.2005-010
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Retrieval of Asian Dust Amount over Land using ADEOS-II/GLI near UV Data

Abstract: We propose a retrieval method of Asian dust (Yellow sand or Kosa aerosol) columnar amount around source regions using a near ultraviolet radiometry observation from space. The method simultaneously retrieves an optical thickness and mode radius of Kosa aerosol, and then derives its columnar amount. The method was applied to ADEOS-II/GLI data in the spring of 2003 around Taklimakan desert source region, inland China. The retrieved optical thickness and mode radius were about 0.34 and 1.75 µm, respectively, at a… Show more

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Cited by 3 publications
(1 citation statement)
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“…However, the CONTROL was not able to reproduce the observed decrease of the AOT in the lowest layer shown in Figure 17; this is probably due to more persistent dust emission at the surface in the model than in the real situation and may also be due to the slow fallout speed of the dust particle considered here. However, as indicated by Takemi et al [2005], the mean column dust content in the CONTROL was in fair agreement with the retrieved values with remote‐sensing data [ Kuji et al , 2005]. Therefore the vertical distribution and the diurnal variation of dense dust in the boundary layer simulated in our modeling setup seems to be consistent with the lidar observations.…”
Section: Resultssupporting
confidence: 82%
“…However, the CONTROL was not able to reproduce the observed decrease of the AOT in the lowest layer shown in Figure 17; this is probably due to more persistent dust emission at the surface in the model than in the real situation and may also be due to the slow fallout speed of the dust particle considered here. However, as indicated by Takemi et al [2005], the mean column dust content in the CONTROL was in fair agreement with the retrieved values with remote‐sensing data [ Kuji et al , 2005]. Therefore the vertical distribution and the diurnal variation of dense dust in the boundary layer simulated in our modeling setup seems to be consistent with the lidar observations.…”
Section: Resultssupporting
confidence: 82%