Articles | Volume 30, issue 1
https://doi.org/10.5194/npg-30-85-2023
https://doi.org/10.5194/npg-30-85-2023
Research article
 | 
08 Mar 2023
Research article |  | 08 Mar 2023

Rain process models and convergence to point processes

Scott Hottovy and Samuel N. Stechmann

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Latest update: 19 May 2024
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Short summary
Rainfall is erratic and difficult to predict. Thus, random models are often used to describe rainfall events. Since many of these random models are based more on statistics than physical laws, it is desirable to develop connections between the random statistical models and the underlying physics of rain. Here, a physics-based model is shown to converge to a statistics-based model, which helps to provide a physical basis for the statistics-based model.