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Changing Degree of Convective Organization as a Mechanism for Dynamic Changes in Extreme Precipitation

Abstract Purpose of Review What does recent work say about how changes in convective organization could lead to changes in extreme precipitation? Recent Findings Changing convective organization is one mechanism that could explain variation in extreme precipitation increase through dynamics. In models, the effects of convective self-aggregation on extreme precipitation are sensitive to parameterization, among other factors. In both models and observations, whether or not convective organization influences extreme precipitation is sensitive to the time and space scales analyzed, affecting extreme precipitation on some scales but not others. While trends in observations in convective organization associated with mean precipitation have been identified, it has not yet been established whether these trends are robust or relevant for events associated with extreme precipitation. Summary Recent work has documented a somewhat view of how changes in convective organization could affect extreme precipitation with warming, and it remains unclear whether or not they do.
- ETH Zurich Switzerland
- Climate and Global Dynamics Laboratory United States
- National Center for Atmospheric Research United States
- University Corporation For Atmospheric Res United States
- University Corporation for Atmospheric Research United States
Extreme precipitation, Extreme precipitation; Convective organization; Climate change, Precipitation Extremes and Climate Change (C Muller, Section Editor), Convective organization, Climate change
Extreme precipitation, Extreme precipitation; Convective organization; Climate change, Precipitation Extremes and Climate Change (C Muller, Section Editor), Convective organization, Climate change
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).26 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
