Effects of local‐scale orography and urban heat island on the initiation of a record‐breaking rainfall event

2021 ◽  
Author(s):  
Yali Wu ◽  
Juanzhen Sun ◽  
Zhuming Ying ◽  
Lulin Xue ◽  
Dehui Chen ◽  
...  
Keyword(s):  
Urban Heat Island ◽  
Local Scale ◽  
Rainfall Event ◽  
Heat Island ◽  
Urban Heat

scholarly journals Quantifying Local and Mesoscale Drivers of the Urban Heat Island of Moscow with Reference and Crowdsourced Observations

2021 ◽  
Vol 9 ◽  
Author(s):  
Mikhail Varentsov ◽  
Daniel Fenner ◽  
Fred Meier ◽  
Timofey Samsonov ◽  
Matthias Demuzere
Keyword(s):  
Urban Heat Island ◽  
Air Temperature ◽  
Urban Climate ◽  
Winter Season ◽  
Local Scale ◽  
Driving Factors ◽  
Heat Island ◽  
Local Climate Zones ◽  
Urban Heat ◽  
Climate Studies

Urban climate features, such as the urban heat island (UHI), are determined by various factors characterizing the modifications of the surface by the built environment and human activity. These factors are often attributed to the local spatial scale (hundreds of meters up to several kilometers). Nowadays, more and more urban climate studies utilize the concept of the local climate zones (LCZs) as a proxy for urban climate heterogeneity. However, for modern megacities that extend to dozens of kilometers, it is reasonable to suggest a significant contribution of the larger-scale factors to the temperature and UHI climatology. In this study, we investigate the contribution of local-scale and mesoscale driving factors of the nocturnal canopy layer UHI of the Moscow megacity in Russia. The study is based on air temperature observations from a dense network consisting of around 80 reference and more than 1,500 crowdsourced citizen weather stations for a summer and a winter season. For the crowdsourcing data, an advanced quality control algorithm is proposed. Based on both types of data, we show that the spatial patterns of the UHI are shaped both by local-scale and mesoscale driving factors. The local drivers represent the surface features in the vicinity of a few hundred meters and can be described by the LCZ concept. The mesoscale drivers represent the influence of the surrounding urban areas in the vicinity of 2–20 km around a station, transformed by diffusion, and advection in the atmospheric boundary layer. The contribution of the mesoscale drivers is reflected in air temperature differences between similar LCZs in different parts of the megacity and in a dependence between the UHI intensity and the distance from the city center. Using high-resolution city-descriptive parameters and different statistical analysis, we quantified the contributions of the local- and mesoscale driving factors. For selected cases with a pronounced nocturnal UHI, their respective contributions are of similar magnitude. Our findings highlight the importance of taking both local- and mesoscale effects in urban climate studies for megacities into account. Furthermore, they underscore a need for an extension of the LCZ concept to take mesoscale settings of the urban environment into account.

scholarly journals IDENTIFYING THE LOCAL SURFACE URBAN HEAT ISLAND THROUGH THE MORPHOLOGY OF THE LAND SURFACE TEMPERATURE

2016 ◽  
Vol III-2 ◽  
pp. 69-75
Author(s):  
Jiong Wang ◽  
Qingming Zhan ◽  
Yinghui Xiao
Keyword(s):  
Surface Temperature ◽  
Urban Heat Island ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Temporal Dynamics ◽  
Satellite Image ◽  
Local Scale ◽  
Heat Island ◽  
Urban Heat ◽  
Surface Urban Heat Island

Current characterization of the Land Surface Temperature (LST) at city scale insufficiently supports efficient mitigations and adaptations of the Surface Urban Heat Island (SUHI) at local scale. This research intends to delineate the LST variation at local scale where mitigations and adaptations are more feasible. At the local scale, the research helps to identify the local SUHI (LSUHI) at different levels. The concept complies with the planning and design conventions that urban problems are treated with respect to hierarchies or priorities. Technically, the MODerate-resolution Imaging Spectroradiometer satellite image products are used. The continuous and smooth latent LST is first recovered from the raw images. The Multi-Scale Shape Index (MSSI) is then applied to the latent LST to extract morphological indicators. The local scale variation of the LST is quantified by the indicators such that the LSUHI can be identified morphologically. The results are promising. It can potentially be extended to investigate the temporal dynamics of the LST and LSUHI. This research serves to the application of remote sensing, pattern analysis, urban microclimate study, and urban planning at least at 2 levels: (1) it extends the understanding of the SUHI to the local scale, and (2) the characterization at local scale facilitates problem identification and support mitigations and adaptations more efficiently.

scholarly journals IDENTIFYING THE LOCAL SURFACE URBAN HEAT ISLAND THROUGH THE MORPHOLOGY OF THE LAND SURFACE TEMPERATURE

2016 ◽  
Vol III-2 ◽  
pp. 69-75 ◽  
Author(s):  
Jiong Wang ◽  
Qingming Zhan ◽  
Yinghui Xiao
Keyword(s):  
Surface Temperature ◽  
Urban Heat Island ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Temporal Dynamics ◽  
Satellite Image ◽  
Local Scale ◽  
Heat Island ◽  
Urban Heat ◽  
Surface Urban Heat Island

Current characterization of the Land Surface Temperature (LST) at city scale insufficiently supports efficient mitigations and adaptations of the Surface Urban Heat Island (SUHI) at local scale. This research intends to delineate the LST variation at local scale where mitigations and adaptations are more feasible. At the local scale, the research helps to identify the local SUHI (LSUHI) at different levels. The concept complies with the planning and design conventions that urban problems are treated with respect to hierarchies or priorities. Technically, the MODerate-resolution Imaging Spectroradiometer satellite image products are used. The continuous and smooth latent LST is first recovered from the raw images. The Multi-Scale Shape Index (MSSI) is then applied to the latent LST to extract morphological indicators. The local scale variation of the LST is quantified by the indicators such that the LSUHI can be identified morphologically. The results are promising. It can potentially be extended to investigate the temporal dynamics of the LST and LSUHI. This research serves to the application of remote sensing, pattern analysis, urban microclimate study, and urban planning at least at 2 levels: (1) it extends the understanding of the SUHI to the local scale, and (2) the characterization at local scale facilitates problem identification and support mitigations and adaptations more efficiently.

scholarly journals Urban heat island studies in Szeged, Hungary

2020 ◽  
Vol 54 (4) ◽  
pp. 41-60
Author(s):  
János Unger
Keyword(s):  
Urban Heat Island ◽  
Satellite Images ◽  
Local Scale ◽  
Heat Island ◽  
Urban Station ◽  
Thermal Data ◽  
Urban Heat ◽  
Mobile Measurements

The overview summarizes briefly the contents and results of the papers published in journals dealing with urban heat island investigations in Szeged, Hungary between 1980 and 2020. The thermal data they used came from urban station networks, mobile measurements, local-scale simulations as well as aerial and satellite images.

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