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Rainfall Feedback Maps

Abstract : Recent research has led to the development of a time series analysis to assess feedback in series of daily rainfall data. This analytical tool was applied to rainfall data from Australia and revealed that rainfall on one day can be significantly correlated with the probability of rainfall on subsequent days for up to 20 days. Patterns of positive rainfall feedback mirror the patterns of accumulation of ice nucleation active particles that have been observed to occur after a rainfall. Taken together, these observations are consistent with the phenomena involved in bioprecipitation whereby biological ice nucleation-active particles are enriched as a consequence of rainfall and then have the possibility to influence subsequent rainfall events. The time series analysis used for this work provides a tool to characterize sites for their propensity for bioprecipitation. Hence, it offers criteria for selecting geographical sites for research to understand the processes that underlie bioprecipitation and rainfall feedback – either via direct field measurements or via meta-analyses of how land use and geography can influence rainfall feedback. In light of the ready availability of daily rainfall data for certain continents and the automation of the calculation and mapping procedures for rainfall feedback indices that has been achieved, we have made maps of rainfall feedback indices across 1250 sites in the western states of the USA. The new website makes these maps available, explains how to interpret the maps, will allow you to access the data resulting from our analyses, and provides information on how to make maps of other regions.
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https://hal.inrae.fr/hal-02793209
Contributor : Migration Prodinra <>
Submitted on : Friday, June 5, 2020 - 9:28:01 AM
Last modification on : Friday, February 5, 2021 - 4:09:59 AM

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Cindy E. Morris, Samuel Soubeyrand. Rainfall Feedback Maps. 2015. ⟨hal-02793209⟩

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