2021
DOI: 10.1016/j.uclim.2021.100817
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Evaluation and application of a low-cost measurement network to study intra-urban temperature differences during summer 2018 in Bern, Switzerland

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Cited by 38 publications
(23 citation statements)
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“…The model is trained on sub-hourly data (10-minute resolution) from the MeteoSwiss urban stations of Bern-Bollwerk (located on a roof at almost the same location where Wolf's apartment stood in the 1850s) and Zurich-Zeughaushof (located in a courtyard close to the main train station), both covering the period 1991-2020. Modern-day urban heat island has certainly an effect on the diurnal cycle at these stations (e.g., Gubler et al, 2021). Nevertheless, they provide the best available estimate of the climatological diurnal cycle in the early instrumental period.…”
Section: Daily Meansmentioning
confidence: 99%
“…The model is trained on sub-hourly data (10-minute resolution) from the MeteoSwiss urban stations of Bern-Bollwerk (located on a roof at almost the same location where Wolf's apartment stood in the 1850s) and Zurich-Zeughaushof (located in a courtyard close to the main train station), both covering the period 1991-2020. Modern-day urban heat island has certainly an effect on the diurnal cycle at these stations (e.g., Gubler et al, 2021). Nevertheless, they provide the best available estimate of the climatological diurnal cycle in the early instrumental period.…”
Section: Daily Meansmentioning
confidence: 99%
“…Monitoring of green infrastructure is much needed in cities because suboptimal environmental conditions of urban habitat lead to high mortality rates of urban trees, low lifespans and decreased quality of ecosystem services, relative to its rural counterparts [51]. Smart technology holds the promise of quantifying those environmental phenomena and the context with sufficient degree of detail [52]. While there are many examples of implementing dense networks of sensors for environmental in cities worldwide ( [53] for example see 'smart Santander' [54]), where very little is said about their benefits for urban nature [6 ,9 ,55].…”
Section: Smart Environmental Monitoringmentioning
confidence: 99%
“…The model was trained on sub-hourly data (10 min resolution) from the MeteoSwiss urban stations of Bern-Bollwerk (located on a roof at almost the same location where Wolf's apartment stood in the 1850s) and Zurich-Zeughaushof (located in a courtyard close to the main train station), both covering the period 1991-2020. The modern-day urban heat island certainly has an effect on the diurnal cycle at these stations (e.g., Gubler et al, 2021). Nevertheless, they provide the best available estimate of the climatological diurnal cycle in the early instrumental period.…”
Section: Daily Meansmentioning
confidence: 99%