Acknowledgments

Support

The development of BLDFM was supported by the following organizations and funding sources:

• European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant agreement No 951288, Q-Arctic).

• Deutsche Forschungsgemeinschaft (DFG) through the Collaborative Research Center (CRC) 1114 “Scaling Cascades in Complex Systems”, project number 235221301, project A02: “Multiscale data and asymptotic model assimilation for atmospheric flows.”

• Schmidt Sciences, LLC as part of the Climate Modeling Alliance and the Virtual Earth System Research Institute’s DataWave project.

We also acknowledge the use of open-source libraries and tools, including NumPy, SciPy, and Matplotlib, which were instrumental in the development of BLDFM.

If you use BLDFM in your research, please consider citing the associated publication or acknowledging the project in your work.

Comparison model

The Kormann-Meixner footprint model was used as a comparison to BLDFM. The implementation utilized is based on the work of Zhan Li, originally available at:

https://github.com/zhanlilz/fluxfm/blob/master/fluxfm/ffm_kormann_meixner.py

The implementation is itself based on a MATLAB script by Jakob Sievers (05/2013) and was revised and annotated by Christian Wille. All rights to the original work remain with the respective authors.