Private sensors and crowdsourced rainfall data: Accuracy and potential for modelling pluvial flooding in urban areas of Oslo, Norway
Cloudbursts and extreme rainstorms pose a growing threat to urban areas. Accurate rainfall data is essential for predicting inundations and urban flooding. Private weather stations are becoming increasingly common, and their spatial distribution roughly follows population density. This makes them a...
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| Main Authors: | Kay Khaing Kyaw, Emma Baietti, Cristian Lussana, Valerio Luzzi, Paolo Mazzoli, Stefano Bagli, Attilio Castellarin |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-12-01
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| Series: | Journal of Hydrology X |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S258991552400021X |
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