Nested high‐resolution modeling of the impact of urbanization on regional climate in three vast urban agglomerations in China

Wang, Jun; Feng, Jinming; Zeng, Yan; Hu, Yonghong; Jia, Gensuo

doi:10.1029/2012jd018226

Cited by 126 publications

(111 citation statements)

References 61 publications

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“…The LULC change in 1990-2000 was mainly built-up land expansion, and previous studies proved that the warming effect of urban areas was higher in summer than that in winter. This is because the heat flux in summer was greater, and much of it transformed into sensible heat in urban areas [29,54]. We achieved a similar result for the 2000-2010 data, while the BM-JAN warming rate was higher than that in BM-JUL.…”

Section: Discussionsupporting

confidence: 72%

“…Wang, Feng [29] concluded that increasing surface roughness during urbanization would weaken low-level air circulation, which would also cause instability in the boundary layer, resulting in a precipitation reduction. Li, Chen [55] noted that a reduced vegetation cover would reduce latent heat and evaporation in the area.…”

Section: Discussionmentioning

confidence: 99%

“…The Weather Research and Forecasting (WRF) model has been used in many relevant studies in China [28], northern China [29], and even part of the study area [30] with the research WRF (ARW) Sustainability 2018, 10, 176 4 of 22 dynamics solver [31]; it is also been used for simulation in this research. WRF is a next-generation mesoscale numerical weather prediction system with two parts: the WRF preprocessing system (WPS), which is made up of three parts, and the WRF section (details shown in Figure 2).…”

Section: Model Descriptionmentioning

confidence: 99%

See 2 more Smart Citations

Impact of Land-Use and Land-Cover Change on Meteorology in the Beijing–Tianjin–Hebei Region from 1990 to 2010

Zheng

Zhang

et al. 2018

Sustainability

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Land use and land cover (LULC) in the Beijing-Tianjin-Hebei region has changed significantly since 1990. To comprehensively understand its impact on meteorology, this paper uses an LULC transfer matrix to discuss changes 10 years before the millennium (BM) and 10 years after the millennium (AM). The Weather Research and Forecasting (WRF) model is used to simulate air temperature, precipitation, and wind speed in January and July using 1990, 2000, and 2010 LULC data. The temperature increase in the AM period (0.118 • C) was greater than that in the BM period (0.042 • C) and increased by 0.36 • C in response to the transformation from croplands to urban and built-up lands (UBL). The change in precipitation showed an obvious seasonal difference, where the trend decreased in winter and increased in summer. There was a small band of precipitation change that extended from Beijing to Shijiazhuang. The wind speed at 10 m decreased by 0.04 m/s in winter and 0.017 m/s in summer. Simultaneously, the impact on meteorology from different classification transformations was quantified. The region where land was transformed into UBL had the largest reduction in wind speed, and was later transformed into woodlands. A comprehensive discussion on the impact of LULC changes on climate should support the future development of more environmentally compatible and sustainable land planning.

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Section: Discussionsupporting

confidence: 72%

Section: Discussionmentioning

confidence: 99%

Section: Model Descriptionmentioning

confidence: 99%

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Impact of Land-Use and Land-Cover Change on Meteorology in the Beijing–Tianjin–Hebei Region from 1990 to 2010

Zheng

Zhang

et al. 2018

Sustainability

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“…Furthermore, as mentioned earlier, they focused on the scales of at most a few tens of kilometres around a particular city. Recently, Zhang et al (2009), Wang et al (2012) and Feng et al (2013) examined the impact of urban land surfaces on the regional climate but with focus on eastern Asia. Over Europe, Struzewska and Kaminski (2012) examined the regional impact of urban surfaces on the forecast of local and regional meteorological conditions and selected pollutants.…”

Section: Published By Copernicus Publications On Behalf Of the Europementioning

confidence: 99%

Regional climate model assessment of the urban land-surface forcing over central Europe

et al. 2014

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Abstract. For the purpose of qualifying and quantifying the climate impact of cities and urban surfaces in general on climate of central Europe, the surface parameterization in regional climate model RegCM4 has been extended with the Single-layer Urban Canopy Model (SLUCM). A set of experiments was performed over the period of 2005-2009 for central Europe, either without considering urban surfaces or with the SLUCM treatment. Results show a statistically significant impact of urbanized surfaces on temperature (up to 1.5 K increase in summer) as well as on the boundary layer height (increases up to 50 m). Urbanization further influences surface wind with a winter decrease up to −0.6 m s −1 , though both increases and decreases were detected in summer depending on the location relative to the cities and daytime (changes up to 0.3 m s −1 ). Urban surfaces significantly reduce the humidity over the surface. This impacts the simulated summer precipitation rate, showing a decrease over cities of up to −2 mm day −1 . Significant temperature increases are simulated over higher altitudes as well, not only within the urban canopy layer. With the urban parameterization, the climate model better describes the diurnal temperature variation, reducing the cold afternoon and evening bias of RegCM4.Sensitivity experiments were carried out to quantify the response of the meteorological conditions to changes in the parameters specific to the urban environment, such as street width, building height, albedo of the roofs and anthropogenic heat release. The results proved to be rather robust and the choice of the key SLUCM parameters impacts them only slightly (mainly temperature, boundary layer height and wind velocity).Statistically significant impacts are modelled not only over large urbanized areas, but the influence of the cities is also evident over rural areas without major urban surfaces. It is shown that this is the result of the combined effect of the distant influence of the cities and the influence of the minor local urban surface coverage.

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“…and atmospheric research needs. The WRF models have been widely applied in regional simulations [Caldwell et al, 2009;Chotamonsak et al, 2011;Feng et al, 2012;Wang et al, 2012;Gonçalves et al, 2014], and their ability in climatological mean and extreme climate simulations over China has been tested and verified [Yu et al, 2010;Yang et al, 2012]. Moreover, WRF could improve the performance of interannual variations that are presented by its driving data [Yuan et al, 2012;Sato and Xue, 2013].…”

mentioning

confidence: 99%

Dynamical downscaling simulation and future projection of precipitation over China

2015

Self Cite

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This study assesses present-day and future precipitation changes over China by using the Weather Research and Forecasting (WRF) model version 3.5.1. The WRF model was driven by the Geophysical Fluid Dynamics Laboratory Earth System Model with the Generalized Ocean Layer Dynamics component (GFDL-ESM2G) output over China at the resolution of 30 km for the present day and near future (2031)(2032)(2033)(2034)(2035)(2036)(2037)(2038)(2039)(2040)(2041)(2042)(2043)(2044)(2045)(2046)(2047)(2048)(2049)(2050) under the Representative Concentration Pathways 4.5 (RCP4.5) scenario. The results demonstrate that with improved resolution and better representation of finer-scale physical process, dynamical downscaling adds value to the regional precipitation simulation. WRF downscaling generally simulates more reliable spatial distributions of total precipitation and extreme precipitation in China with higher spatial pattern correlations and closer magnitude. It is able to successfully eliminate the artificial precipitation maximum area simulated by GFDL-ESM2G over the west of the Sichuan Basin, along the eastern edge of the Tibetan Plateau in both summer and winter. Besides, the regional annual cycle and frequencies of precipitation intensity are also well depicted by WRF. In the future projections, under the RCP4.5 scenario, both models project that summer precipitation over most parts of China will increase, especially in western and northern China, and that precipitation over some southern regions is projected to decrease. The projected increase of future extreme precipitation makes great contributions to the total precipitation increase. In southern regions, the projected larger extreme precipitation amounts accompanied with fewer extreme precipitation frequencies suggest that future daily extreme precipitation intensity is likely to increase in these regions.

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Nested high‐resolution modeling of the impact of urbanization on regional climate in three vast urban agglomerations in China

Cited by 126 publications

References 61 publications

Impact of Land-Use and Land-Cover Change on Meteorology in the Beijing–Tianjin–Hebei Region from 1990 to 2010

Impact of Land-Use and Land-Cover Change on Meteorology in the Beijing–Tianjin–Hebei Region from 1990 to 2010

Regional climate model assessment of the urban land-surface forcing over central Europe

Dynamical downscaling simulation and future projection of precipitation over China

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