Name: dataset_1
Description: This is the default dataset.
User.AffilitationName: KIT-Bibliothek
User.Name: Eva-Maria Walz
creators.entry: Walz, Eva-Maria
creators.entry: Maranan, Marlon
creators.entry: Fink, Andreas
creators.entry: Knippertz, Peter
contributors.entry: 
title: Extended probabilistic climatology (EPC), as a reference forecast for precipitation in the tropics
additional_title: 
publisher: KIT-Bibliothek
publication_year: 2020-01-01T00:00:00+0100
creation_year: 2020-01-01T00:00:00+0100
creation_year_start: 
keywords: 
abstract: 
readme: Base dataset: Integrated Multi-satellitE Retrievals for GPM (IMERG) V06 dataset (doi: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)

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).
classifications.entry: 550 - Geowissenschaften, Geologie
resource_type.name: Dataset
resource: 
rights_holder.entry: Walz, Eva-Maria
rights_holder.entry: Maranan, Marlon
rights_holder.entry: Fink, Andreas
rights_holder.entry: Knippertz, Peter
embargo_date: 2020-12-15T00:00:00+0100
license.type: CC BY-SA 4.0
library_identifiers: 
additional_metadata: