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Technical Note: An open source library for processing weather radar data ( wradlib )
Open accessAbstract
Abstract. The potential of weather radar observations for hydrological and meteorological research and applications is undisputed, particularly with increasing world-wide radar coverage. However, several barriers impede the use of weather radar data. These barriers are of both scientific and technical nature. The former refers to inherent measurement errors and artefacts, the latter to aspects such as reading specific data formats, geo-referencing, visualisation. The radar processing library wradlib is intended to lower these barriers by providing a free and open source tool for the most important steps in processing weather radar data for hydro-meteorological and hydrological applications. Moreover, the community-based development approach of wradlib allows scientists to share their knowledge about efficient processing algorithms and to make this knowledge available to the weather radar community in a transparent, structured and well-documented way.
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Cited by
Helmus, J. J., & Collis, S. M. (2016) · Journal of Open Research Software · doi:10.5334/jors.119 · Cited by 477
Pysteps: an open-source Python library for probabilistic precipitation nowcasting (v1.0)
Pulkkinen, S., Nerini, D., Pérez Hortal, A. A., Velasco-Forero, C., Seed, A., Germann, U., & Foresti, L. (2019) · Geoscientific Model Development · doi:10.5194/gmd-12-4185-2019 · Cited by 304
Metadata
- Authors
- Heistermann, M., Jacobi, S., & Pfaff, T.
- Venue
- Hydrology and Earth System Sciences
- Publisher
- Copernicus GmbH
- Published
- 2013-02-28
- Volume
- 17
- Issue
- 2
- Pages
- 863-871
- ISSN
- 1027-5606 (ISSN-L)
- 1607-7938
- OpenAlex
- W2119869389
- Cited by
- 176
- References
- 0
- FWCI
- 4.33
- Type
- journal article
- Language
- en
- Open access
- gold
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- CoChat. (2026). Citation check: Technical Note: An open source library for processing weather radar data ( wradlib ). https://app.cochat.ai/papers/10.5194/hess-17-863-2013
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- Heistermann, M., Jacobi, S., & Pfaff, T. (2013). Technical Note: An open source library for processing weather radar data ( wradlib ). Hydrology and Earth System Sciences. https://doi.org/10.5194/hess-17-863-2013
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