scholarly journals Absolute moisture content in mid-latitude urban canopy layer

2018 ◽  
Vol 51-52 (1) ◽  
pp. 37-45 ◽  
Author(s):  
János Unger ◽  
Nóra Skarbit ◽  
Tamás Gál
Keyword(s):  
Spatial Distribution ◽  
Moisture Content ◽  
Case Studies ◽  
Urban Canopy ◽  
Absolute Humidity ◽  
Temperature Dependent ◽  
Canopy Layer ◽  
Urban Canopy Layer ◽  
Absolute Measure ◽  
Urban Rural

This part of the study on absolute moisture content in the mid-latitude urban canopy layer first gives a comparison on intra-urban relative and absolute humidity patterns showing an example based on a long dataset. The comparison clearly demonstrates the usefulness of the utilization of absolute measure opposite to the temperature dependent relative one. This supports the earlier statements found in the literature albeit these statements are based on only case studies or short datasets. Then a short overview follows which presents the main results of studies about urban absolute moisture content. These studies focused mainly on urban-rural and less on intra-urban humidity differences. The scale differences are used for the grouping of studies based on the number of available measurement sites as well as their spatial distribution and density in the investigated urban regions.

scholarly journals Absolute moisture content in mid-latitude urban canopy layer

2018 ◽  
Vol 51-52 (1) ◽  
pp. 47-56 ◽  
Author(s):  
János Unger ◽  
Nóra Skarbit ◽  
Tamás Gál
Keyword(s):  
Urban Canopy ◽  
Absolute Humidity ◽  
Canopy Layer ◽  
Urban Network ◽  
Local Climate ◽  
Urban Canopy Layer ◽  
The North ◽  
Comprehensive Picture ◽  
Urban Rural ◽  
Local Climate Zone

This study gives a comprehensive picture on the air humidity observation and mapping in urban canopy layer in Szeged, Hungary, analyzing three-year long vapor pressure dataset (e) calculated from observations of a 22-station urban network. The analysis was divided into two directions, namely the urban-rural and intra-urban ones where the latter was partly based on the local climate zone approach. (i) The general features of the annual and diurnal variations of urban-rural absolute humidity difference in cities with mid-latitude climates are also detectable in the case of Szeged. (ii) In the annual and seasonal e means there is no clear zone sequence that would follow the differences in the compactness or building height of the zones and even the built-up versus land cover distinction. (iii) The highest e values and their differences among stations appear in summer, while the lowest ones in winter and the values of transitional seasons are between them. In certain cases the intra-zone differences can exceed the inter-zone ones since the effect of microscale environment is essential. The decisive factors are the permeability of the surface and the vegetation cover. (iv) The diurnal course of the e pattern in normalized 4-hour time steps does not show a regular shape, the patterns are mosaic-like: in all time steps the driest and wettest areas are mainly in the north-western and south-eastern parts, respectively.

scholarly journals Seasonal variation of dry and wet islands in Beijing considering urban artificial water dissipation

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Zhuoran Luo ◽  
Jiahong Liu ◽  
Yongxiang Zhang ◽  
Jinjun Zhou ◽  
Weiwei Shao ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Relative Humidity ◽  
Urban Areas ◽  
Urban Canopy ◽  
Absolute Humidity ◽  
Weather Research And Forecasting ◽  
Island Effect ◽  
Typical Summer ◽  
Canopy Model ◽  
Artificial Water

AbstractUrbanization has resulted in dry/wet island effects in built-up areas. Compared to the limited number of observational datasets, simulations can provide data with richer spatial distribution, thereby proving to be more helpful for revealing the spatial distribution of dry/wet islands. This study simulated dry/wet island effects during typical summer and winter conditions in Beijing by coupling the Artificial Water Dissipation Urban Canopy Model with the Weather Research and Forecasting model. Observations of relative humidity, absolute humidity, and temperature from weather stations in Beijing were used to verify the model. The results showed that in 2020, Beijing was prone to be a dry island during summer, with the relative humidity approximately 5–10% lower than the surrounding suburbs. The dry island effect was not obvious in winter, and Beijing tended to be a wet island. The influence of artificial water dissipation on dry/wet islands is higher in winter than in summer. By considering the water vapor from artificial water dissipation, humidity in urban areas can be simulated more accurately.

scholarly journals Observations of Air Temperature in the Urban Canopy Layer in Nagahama-city

1998 ◽  
Vol 26 ◽  
pp. 487-492
Author(s):  
Hirohito KIRIHARA ◽  
Takeshi FUJINO ◽  
Takehiko MIKAMI
Keyword(s):  
Air Temperature ◽  
Urban Canopy ◽  
Canopy Layer ◽  
Urban Canopy Layer
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