WQM
Wavelet-Based Quantile Mapping for Postprocessing Numerical Weather Predictions
The wavelet-based quantile mapping (WQM) technique is designed to correct biases in spatio-temporal precipitation forecasts across multiple time scales. The WQM method effectively enhances forecast accuracy by generating an ensemble of precipitation forecasts that account for uncertainties in the prediction process. For a comprehensive overview of the methodologies employed in this package, please refer to Jiang, Z., and Johnson, F. (2023) <doi:10.1029/2022EF003350>. The package relies on two packages for continuous wavelet transforms: 'WaveletComp', which can be installed automatically, and 'wmtsa', which is optional and available from the CRAN archive <https://cran.r-project.org/src/contrib/Archive/wmtsa/>. Users need to manually install 'wmtsa' from this archive if they prefer to use 'wmtsa' based decomposition.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.4 |
rolling linux/jammy R-4.5 | WQM_0.1.4.tar.gz |
1.1 MiB |
0.1.4 |
rolling linux/noble R-4.5 | WQM_0.1.4.tar.gz |
1.1 MiB |
0.1.4 |
rolling source/ R- | WQM_0.1.4.tar.gz |
893.6 KiB |
0.1.4 |
latest linux/jammy R-4.5 | WQM_0.1.4.tar.gz |
1.1 MiB |
0.1.4 |
latest linux/noble R-4.5 | WQM_0.1.4.tar.gz |
1.1 MiB |
0.1.4 |
latest source/ R- | WQM_0.1.4.tar.gz |
893.6 KiB |
0.1.4 |
2026-04-26 source/ R- | WQM_0.1.4.tar.gz |
893.6 KiB |
0.1.4 |
2026-04-23 source/ R- | WQM_0.1.4.tar.gz |
893.6 KiB |
0.1.4 |
2026-04-09 windows/windows R-4.5 | WQM_0.1.4.zip |
1.1 MiB |
0.1.4 |
2025-04-20 source/ R- | WQM_0.1.4.tar.gz |
893.6 KiB |