**4. Conclusions**

From an analysis of precipitation in the Brazilian territory, it was possible to understand the general aspects of diurnal cycle of precipitation in Brazil. Therefore, from a multivariate analysis in data from 1 January 2008 to 31 December 2020, by cluster clustering method, it was possible to conclude that there are different types of diurnal cycle and several meteorological mechanisms that model it. This study demonstrates the need to better understand the cycle of rainfall in Brazil, how they behave in the face of atmospheric phenomena, and how the climate is undergoing changes. The evaluation of the correlation between precipitation and other atmospheric variables, can further improve the accuracy of the forecasts.

**Author Contributions:** Conceptualization, A.M.V. and C.M.S.e.S.; methodology, A.M.V.; software, D.T.R.; validation, A.M.V., C.M.S.e.S. and D.T.R.; formal analysis, D.T.R.; investigation, P.A.A.d.A.; data curation, D.T.R. and P.A.A.d.A.; writing—original draft preparation, A.M.V.; writing—review and editing, A.M.V.; visualization, C.M.S.e.S.; supervision, C.M.S.e.S.; project administration, C.M.S.e.S.; funding acquisition, C.M.S.e.S. All authors have read and agreed to the published version of the manuscript.

**Funding:** This research was funded by National Council for Research and Development (CNPq) gran<sup>t</sup> number PIB14178-2017.

**Institutional Review Board Statement:** Not applicable.

**Informed Consent Statement:** Not applicable.

**Data Availability Statement:** The data can be obtained from the meteorological database of the National Institute of Meteorology. https://portal.inmet.gov.br/ (accessed on 30 September 2020).

**Conflicts of Interest:** The authors declare no conflict of interest.
