Assigning Gaussian Probability Distributions to Strictly Positive Random Variables

Hello Everybody!

I am new to the field, so forgive me for any silly questions. I am trying to assign probability distributions to my uncertain inputs, and the first probability distribution that comes to mind is the overused gaussian/normal distribution. Although, it has been suggested by multiple sources that Gaussian distributions should not be used for strictly positive random variables (RVs), I am still seeing a lot of peer-reviewed papers in the UQ-CFD field that are using gaussian distributions to such RVs. I would appreciate it if anybody can give some input on the matter.

Thanks in advance,

Elias