2019
DOI: 10.1016/j.uclim.2019.100503
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Mapping urban cold-air paths in a Central European city using numerical modelling and geospatial analysis

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Cited by 21 publications
(21 citation statements)
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“…The analysis was conducted in Braunschweig, Northern Germany (52°16′28 N, 10°30′38 E) as a data set of the spatial distribution of cold-air paths was available (Grunwald et al, 2019). Braunschweig has a total surface area of 192 km 2 from which 19.4% are vegetated (park and forest) and 21.9% consist of built-up area.…”
Section: Study Areamentioning
confidence: 99%
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“…The analysis was conducted in Braunschweig, Northern Germany (52°16′28 N, 10°30′38 E) as a data set of the spatial distribution of cold-air paths was available (Grunwald et al, 2019). Braunschweig has a total surface area of 192 km 2 from which 19.4% are vegetated (park and forest) and 21.9% consist of built-up area.…”
Section: Study Areamentioning
confidence: 99%
“…the urban heat island (c.f. Grunwald et al, 2019). This makes Braunschweig a good test-case to investigate to which extent land-use change by urban development affects cold-air path occurrence.…”
Section: Study Areamentioning
confidence: 99%
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“…The cooling effect of the vegetation was estimated similarly to [3,64], applying a linear regression between air temperature and vegetation volume. We used air temperature from a sensor network of 15 weather stations in Braunschweig (see [65]), measured in 3 m height above ground level (to keep the sensors safe from destruction). We selected air temperatures measured at 15:00 (usually the maximum air temperature) at five windless and cloudless summer days in 2017 (2 June, 31 July, and 7, 28 and 29 August).…”
Section: Ecosystem Services Assessmentmentioning
confidence: 99%
“…Furthermore, they predicted wind corridors in the city and devised ways to identify the areas that benefit from wind corridors and the areas that supply cold air. Grunwald et al [15] identified different types of wind corridors through the analysis of the data on the cooling rate using the cold-air analysis model of KLAM_21(Kaltluftabflussmodell_21), and analyzed wind corridors of the target area using the tool "Particle Track" (ArcGIS Software, ver.10.6). Furthermore, Grunwald et al [16] devised a methodology to analyze wind corridors through regression analysis using the data from cold-air analysis of KLAM_21, land-use, topography, and buildings.…”
Section: Introductionmentioning
confidence: 99%