- Author
- Thomas Vergauwen (UGent) , Michiel Vieijra, Andrei Covaci, Amber Jacobs (UGent) , Sara Top (UGent) , Wout Dewettinck (UGent) , Kobe Vandelanotte (UGent) , Ian Hellebosch (UGent) and Steven Caluwaerts (UGent)
- Organization
- Project
-
- Novel approach to assess the impact of 1.5 °C, 2 °C and 3 °C global warming in cities
- Extreme precipitation and climate change: novel insights by case-selective convection-permitting model downscaling
- A multi-method investigation of the urban impact on precipitation
- COmbining Regional Downscaling EXpertise in Belgium II - CORDEX.be II
- Climate Impact on Built Heritage - CLIMPACTH
- AURA: Advancing the UGent-RMI Atmospheric models
- Abstract
- The MetObs-toolkit Python package accompanies the corresponding JOSS publication. The homepage of the MetObs toolkit is on Github: https://github.com/vergauwenthomas/MetObs_toolkit This achieved version of the toolkit is tagged as v0.2.0 on Github.
- Keywords
- Python, Meteorology, Observations, Climate, Urban Climate
- License
- CC-BY-4.0
- Access
- open access
Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-01HSDZZ36T875TCW95YFGX2DFF
@misc{01HSDZZ36T875TCW95YFGX2DFF,
abstract = {{The MetObs-toolkit Python package accompanies the corresponding JOSS publication. The homepage of the MetObs toolkit is on Github: https://github.com/vergauwenthomas/MetObs_toolkit
This achieved version of the toolkit is tagged as v0.2.0 on Github.
}},
author = {{Vergauwen, Thomas and Vieijra, Michiel and Covaci, Andrei and Jacobs, Amber and Top, Sara and Dewettinck, Wout and Vandelanotte, Kobe and Hellebosch, Ian and Caluwaerts, Steven}},
keywords = {{Python,Meteorology,Observations,Climate,Urban Climate}},
language = {{eng}},
publisher = {{Zenodo}},
title = {{MetObs - a Python toolkit for using non-traditional meteorological observations}},
url = {{http://doi.org/10.5281/ZENODO.10794417}},
year = {{2024}},
}
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