2026-10-11T22:20:40Zhttps://www.radar-service.eu/oai/OAIHandler10.35097/14412026-10-09T10:54:30Zradar4kit
https://dx.doi.org/10.35097/1441
Walz, Eva-Maria
Maranan, Marlon
Fink, Andreas
Knippertz, Peter
Extended probabilistic climatology (EPC), as a reference forecast for precipitation in the tropics (Version 2)
Karlsruhe Institute of Technology
2023
Geological Science
dataset
Dataset
info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-sa/4.0/legalcode
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).
10.5445/IR/1000127274
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