Extended probabilistic climatology (EPC) as a reference forecast for precipitation in the tropics

Die aktualisierten Daten finden Sie unter: http://dx.doi.org/10.5445/IR/1000127274 Base dataset: Integrated Multi-satellitE Retrievals for GPM (IMERG) V06 dataset (doi:[10.5067/GPM/IMERG/3B-HH/06](https://doi.org/10.5067/GPM/IMERG/3B-HH/06 )) Data format: netCDF Time resolution: daily (365 calendar days) Latitude band: 40°S–40°N Spatial resolution: 0.1°x0.1° (800x3600 points) Content: Parameters (prob, shape, scale) of a fitted Bernoulli-gamma distribution derived from +/-15 days windows around each calendar day of the years 2001–2018. Value: The EPC dataset provides statistical distributions of daily rainfall for the entire global tropics with a high spatial resolution using one of the most accurate satellite-based rainfall estimates. This can be used for a climatological characterization and as a probabilistic reference forecast against which weather forecasts generated with computer or statistical models can be evaluated. Application example: Vogel et al. (2018, doi:[10.1175/WAF-D-17-0127.1](https://doi.org/10.1175/WAF-D-17-0127.1)) Reference: The research leading to these results has been accomplished within project C2 "[Statistical-dynamical forecasts of tropical rainfall](https://www.wavestoweather.de/research_areas/phase2/c2/index.html)" of the Transregional Collaborative Research Center SFB/TRR 165 Waves to Weather funded by the German Science Foundation (DFG).