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

Base dataset: Integrated Multi-satellitE Retrievals for GPM (IMERG) V06 dataset (doi: 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.

Details: Walz et al. (2021, doi: https://doi.org/10.1175/WAF-D-20-0233.1)

Reference: The research leading to these results has been accomplished within project C2 "Statistical-dynamical forecasts of tropical rainfall" of the Transregional Collaborative Research Center SFB/TRR 165 Waves to Weather funded by the German Science Foundation (DFG).

Base dataset: Integrated Multi-satellitE Retrievals for GPM (IMERG) V06 dataset (doi: 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.
Details: Walz et al. (2021, doi: https://doi.org/10.1175/WAF-D-20-0233.1)
Reference: The research leading to these results has been accomplished within project C2 "Statistical-dynamical forecasts of tropical rainfall" of the Transregional Collaborative Research Center SFB/TRR 165 Waves to Weather funded by the German Science Foundation (DFG).