Instance of unseen-awg with precomputed similarities

hdl:21.14106/3a8a9c4d3892b6bc9887ec5dd81dda5cc0930de5

Wider, Jonathan; Zscheischler, Jakob

Dataset
Summary
This dataset provides an instance of the unseen-awg analog weather generator (v1.0) with default parameter settings (tau=30, Delta=10, sigma=2.5).

The weather generator can be loaded using the unseen-awg python code. The dataset of precomputed similarities between different states in a reforecast dataset is stored in the .zarr format, its chunks are partitioned into a set of zip files.
Using the weather generator instance requires downloading and extracting all partial files.
Project
unseen-awg (unseen-awg: spatio-temporal weather generation using analogs and unseen data)
Use constraints
Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/)
Data Catalog
World Data Center for Climate
Access constraints
registered users
Size
527.64 GiB (566549094528 Byte)
Format
zip-file
Status
completely archived
Creation Date
Review Date
2026-04-02
Download Permission
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Cite as
[ Derived from parent entry - See data hierarchy tab ]
Wider, Jonathan; Zscheischler, Jakob (2026). An instance of the analog weather generator unseen-awg with precomputed similarities and a large set of generated weather data. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/unsawg_wg

BibTeX RIS
VariableUnit
forecast_period
CF
s
similarity_score
1

Parent

An instance of the analog weather generator unseen-awg with precomputed similarities and a large set of generated weather data
Details

Parent project(s)

unseen-awg: spatio-temporal weather generation using analogs and unseen data

[Entry acronym: unsawg_wg_inst] [Entry id: 5369854]