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Saito Develops New Methodology For Retrieving Microphysical Cloud Properties

Dr. Masanori Saito’s work was recently featured in Earth and Space Science News.

Apr 30, 2019

Figure 11a from Saito et al. (2019)
Figure 11a from Saito et al. (2019)

Dr. Masanori Saito, postdoctoral research associate in the Texas A&M University Department of Atmospheric Sciences, recently published an article titled ‘An Efficient Method for Microphysical Property Retrievals in Vertically Inhomogeneous Marine Water Clouds Using MODIS‐CloudSat Measurements’  in the Journal of Geophysical Research: Atmospheres.

Remote sensing of cloud properties has always been challenging, even though numerous efforts relying on either a passive or active sensor alone have been conducted,” said Saito.

“We developed an efficient algorithm for warm cloud property retrievals using combined  spaceborne passive-active measurements, which reduces retrieval biases due to the vertical inhomogeneity of warm clouds. This study may help improve the knowledge in the climatology of warm cloud properties and exploration of warm cloud microphysical processes.”

Saito’s work that was highlighted in the prestigious Earth and Space Science News.


By Kevin Smalley

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