- ORCID iD
- 0000-0003-2899-9218
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Fast analysis of urban meteorological observations with the user-friendly MetObs-toolkit
(2024) -
MetObs - a Python toolkit for using non-traditional meteorological observations
(2024) -
- Journal Article
- open access
MetObs - a Python toolkit for using non-traditional meteorological observations
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Engaging schools to build a regional urban climate monitoring network
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Land cover aware temperature correction of bicycle transects : a case study of mapping the air temperature in two Belgian cities
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- Conference Paper
- C3
- open access
Machine learning-based emulation of land cover effects at sub-hectometric scale using crowd-sourced weather observations
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- Conference Paper
- C3
- open access
Engaging schools to explore meteorological observational gaps
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- Journal Article
- A1
- open access
Engaging schools to explore meteorological observational gaps
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Het VLINDER-project
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- Journal Article
- A1
- open access
The urban climate of Ghent, Belgium : a case study combining a high-accuracy monitoring network with numerical simulations