Several ESSIC/CISESS scientists including Malarvizhi Arulraj, Jifu Yin, Christopher Grassotti, Veljko Petkovic collaborated on a multi-author, two-part study led by Douglas Miller, Professor of Atmospheric Sciences at the University of North Carolina, Asheville. Â
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The paper analyzed two cases of extreme rainfall and flooding in the Smoky Mountains during 2020. CISESS scientists used satellite-based estimates of precipitation as well as depictions of the temperature and moisture structure to characterize the similarities and differences between the two severe weather events.
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Performed analyses revealed the large-scale and local atmospheric conditions contributing to a rather unusual surface response to the short duration of heavy rainfall. To illuminate some of the conditions unique to these events, the investigation gears towards the utility of several satellite-based algorithms. Considered are NOAA precipitation (GPROF, MiRS, SCaMPR CMORPH), soil moisture and vertical atmospheric profile products. Collocated observations suggest antecedent soil moisture conditioned by rainfall of the first [longer] event made the widespread triggering of landslides possible during the higher intensity rains occurring during the [shorter] event that followed. The contrast in the number of triggered landslides – [2 vs. 21], emphasizes the importance of conditioning of the mid- and lower-soil layer moisture.Â
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The two-part publication came as a result of collaboration between CISESS, STAR (R. Ferraro, B. Kuligowski, X. Zhan, P. Xie), CPC (S.Wu), CIRA (S. Kusselson, J. Forsythe and S. Liu) and SSEC (W. Straka) teams.Â
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To access the papers, click here:
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