Precipitation Probability DISTribution


The Pre­cip­i­ta­tion Prob­a­bil­i­ty DIS­Tri­b­u­tion (PPDIST) dataset rep­re­sents a col­lec­tion of glob­al high-res­o­lu­tion (0.1°) obser­va­tion-based cli­ma­tolo­gies (1979–2018) of the occur­rence and peak inten­si­ty of pre­cip­i­ta­tion at dai­ly and 3‑hourly time scales.

The cli­ma­tolo­gies were pro­duced using neur­al net­work ensem­bles and take advan­tage of the strengths of all three main pre­cip­i­ta­tion data sources — satel­lites, reanaly­ses, and gauges — to obtain reli­able esti­mates for the entire globe. For more infor­ma­tion, see the fol­low­ing open-access paper: 

Dai­ly >0.5 mm pre­cip­i­ta­tion occur­rence (% of time)


The lat­est ver­sion of the PPDIST dataset can be down­loaded here. If the dataset forms a key com­po­nent of your research, we kind­ly ask that you give us the oppor­tu­ni­ty to com­ment on your results pri­or to pub­li­ca­tion. The dataset is released under the CC BY-NC 4.0 license and thus may not be used for com­mer­cial pur­pos­es. By using the dataset in any pub­li­ca­tion you agree to cite the cor­re­spond­ing paper.


The Water Cen­ter for Arid and Semi-Arid Zones in Latin Amer­i­ca and the Caribbean (CAZALAC) and the Cen­tro de Cien­cia del Cli­ma y la Resilien­cia (CR) 2 (FONDAP 15110009) are thanked for shar­ing the Mex­i­can and Chilean gauge data, respec­tive­ly. We also acknowl­edge the gauge data providers in the Latin Amer­i­can Cli­mate Assess­ment and Dataset (LACA&D) project: IDEAM (Colom­bia), INAMEH (Venezuela), INAMHI (Ecuador), SENAMHI (Peru), SENAMHI (Bolivia), and DMC (Chile). We fur­ther wish to thank Ali Ali­jan­ian and Piyush Jain for pro­vid­ing addi­tion­al gauge data.