WQM

Wavelet-Based Quantile Mapping for Postprocessing Numerical Weather Predictions

CRAN Package

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.


Documentation


Team


Insights

Last 30 days

This package has been downloaded 171 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 9 times.

Sun
Mon
Tue
Wed
Thu
Fri
Sat
0 downloadsMar 2, 2025
0 downloadsMar 3, 2025
5 downloadsMar 4, 2025
7 downloadsMar 5, 2025
5 downloadsMar 6, 2025
5 downloadsMar 7, 2025
3 downloadsMar 8, 2025
3 downloadsMar 9, 2025
4 downloadsMar 10, 2025
9 downloadsMar 11, 2025
5 downloadsMar 12, 2025
6 downloadsMar 13, 2025
7 downloadsMar 14, 2025
6 downloadsMar 15, 2025
6 downloadsMar 16, 2025
4 downloadsMar 17, 2025
12 downloadsMar 18, 2025
6 downloadsMar 19, 2025
8 downloadsMar 20, 2025
10 downloadsMar 21, 2025
5 downloadsMar 22, 2025
3 downloadsMar 23, 2025
4 downloadsMar 24, 2025
6 downloadsMar 25, 2025
5 downloadsMar 26, 2025
8 downloadsMar 27, 2025
3 downloadsMar 28, 2025
3 downloadsMar 29, 2025
4 downloadsMar 30, 2025
2 downloadsMar 31, 2025
8 downloadsApr 1, 2025
9 downloadsApr 2, 2025
0 downloadsApr 3, 2025
0 downloadsApr 4, 2025
0 downloadsApr 5, 2025
2
12

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 1,224 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Oct 14, 2024 with 49 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Data provided by CRAN


Binaries


Dependencies

  • Imports4 packages
  • Suggests8 packages