- ORCID iD
- 0000-0002-0728-5331
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- Conference Paper
- C3
- open access
Project IMA : lessons learned from building the Belgian operational seamless ensemble prediction system
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- Conference Paper
- C3
- open access
Fast analysis of urban meteorological observations with the user-friendly MetObs-toolkit
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MetObs - a Python toolkit for using non-traditional meteorological observations
(2024) -
- Journal Article
- A2
- open access
MetObs : a Python toolkit for using non-traditional meteorological observations
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- Conference Paper
- C3
- open access
Development of a case-selective dynamical downscaling strategy for extreme precipitation over Belgium
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- Journal Article
- A1
- open access
Scale‐dependent blending of ensemble rainfall nowcasts and numerical weather prediction in the open‐source pysteps library
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Project IMA : building the Belgian seamless prediction system