v1.9.3

What's Changed

• Resolve "The -v option is used twice, for --variable and --version" by @btschwertfeger in #40

Full Changelog: v1.9.2...v1.9.3

v1.9.2

What's Changed

• Update documentation, readme and update workflows by @btschwertfeger in #37

Full Changelog: v1.9.1...v1.9.2

v1.9.1

What's Changed

• Added more checks during testing by @btschwertfeger in #25
• Clarified difference between stochastic and non-stochastic climate variables in doc and readme by @btschwertfeger in #26
• Add release workflow by @btschwertfeger in #27
• Add hints for NetCDFcxx not found error; fix typos by @btschwertfeger in #29
• Readme: add table of content; fix wrong section numbering; fix badge by @btschwertfeger in #30
• Fix segmentation fault for time series including NaN values by @btschwertfeger in #31

Full Changelog: v1.9.0...v1.9.1

Release v1.9.0

Available bias correction methods

Scaling-based techniques:
    * Linear Scaling
    * Variance Scaling
    * Delta Method

Distribution-based techniques:
    * Quantile Mapping
    * Quantile Delta Mapping

All of these mathematical methods are intended to be applied on 1-dimensional time-series climate data.
This module also provides the possibility that enables
the application of the desired bias correction method on 3-dimensinoal data sets.

v1.9.0 (2023-04-20)

Full Changelog

Breaking changes:

• Change the --n_processes option to --processes #17

Implemented enhancements:

• Create a Documentation using sphinx #16
• Create install and uninstall target / command #12
• Add unit tests #8
• Change Docker base image from Ubuntu22.04 to Alpine3.17 #7
• Add a sphinx-based documentation #23 (btschwertfeger)

Fixed bugs:

• Quantile Delta Mapping return nan values because of zero-devision error #19
• Added a function to ensure the zero-devision and devision by zero #22 (btschwertfeger)

Closed issues:

• Raise exception when --max-scaling-factor is set to 0 #18
• Create a basic CI #15
• Add a Changelog #14
• Add the related publication as documentation #11

Merged pull requests:

• Add a Changelog #21 (btschwertfeger)
• Adjusted the issue template #20 (btschwertfeger)
• Added the DOI of the publication at SoftwareX in the README #13 (btschwertfeger)
• Add Unit Tests; Simplify the Installation; Create the CI #9 (btschwertfeger)

Full Changelog: v1.8.1...v1.9.0

Release v1.8.1

• Added a Dockerfile to create and publish an image to apply the BiasAdjustCXX tool within a Docker container.
• Adjusted parts of the README.md
• The source code of the BiasAdjustCXX tool has not changed

See: https://hub.docker.com/repository/docker/btschwertfeger/biasadjustcxx/general

Release v1.8

• Extended modularity
• Simplified data structures
• Adjustment across multiple threads is now possible
• Added docstrings, comments
• Added more examples and a Hands-On Jupyter Notebook

Prepared repository for the submission of a technical paper to the journal "SoftwareX".

Release v1.7

• added long-term 31-day moving windows as default method for scaling-based techniques

Release v1.6.1

• added program to evaluate results after the adjustment to compute a 2-dimensional matrix containing for example the $RMSE$ or $MBE$ between the reference and adjusted data set
• renamed main program

Release v1.6

• fixed core dump issue when switched lon/lat dimensions

Release v1.5

Release v1.5

Changes:

• optimized procedures by using vectors instead of pointer
• adjusted CMakeLists.txt and FindnetCDCXX.cmake to build this tool on various systems
• added 1-dimensional adjustment implementation for adjusting time series climate data with only one dimension (time)
• changed license from MIT to GNU GPLv3
• added copyright statements and references