Effects of land use and cover change on surface wind speed in China

Li, Yupeng; Chen, Yaning; Li, Zhi

doi:10.1007/s40333-019-0095-5

Cited by 17 publications

(10 citation statements)

References 42 publications

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“…By design, reanalysis products do not include in their hindcasting the changes in surface roughness (Thorne and Vose, 2010). Increase of surface roughness can be associated with factors such as urbanization, growth of forests, changes in trees and forest distribution or changes in agricultural practices (Yupeng et al, 2019). Previous studies have mainly focused on land-use changes induced by urbanization, with comparison between urban and rural stations (Chen et al, 2020).…”

Section: Summary and Discussionmentioning

confidence: 99%

Wind stilling‐reversal across Sweden: The impact of land‐use and large‐scale atmospheric circulation changes

Minola

Reese

Lai

et al. 2021

Intl Journal of Climatology

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This study analyses for the first time the break in the stilling detected by previous research around 2010, with focus in Sweden using homogenized nearsurface mean and gust wind speed observations for 1997-2019. During the recent past two decades, both mean and gust wind magnitude and frequency (exceeding the 90th percentile) underwent nonlinear changes, driven by the dominant winter variability. In particular, consistent with previous studies, the significant (p < .05) stilling ceased in 2003, followed by no clear trend afterwards. The detected stilling-reversal is linked to large-scale atmospheric circulation changes, in particular to the North Atlantic Oscillation for both mean and gust wind changes, and the intensity changes of extratropical cyclones passing across Sweden especially for wind gusts. Furthermore, in different wind change phases, the observed wind distribution did not vary uniformly for the various wind speed ranges; instead, strong winds drove most of the changes. In the same way, increases in gust winds are greater compared to changes in mean wind speed conditions. The stilling-reversal is also identified by the ERA5 reanalysis, where large-scale atmospheric circulation changes are captured. But the background slowdown detected in most stations does not appear in the ERA5 data as the observed increase in forest cover is not considered in the reanalysis. This study reveals that, in addition to the large-scale interannual variability, changes in surface roughness (e.g., changes in forest cover) contribute to the observed wind variability across Sweden.

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Section: Summary and Discussionmentioning

confidence: 99%

Wind stilling‐reversal across Sweden: The impact of land‐use and large‐scale atmospheric circulation changes

Minola

Reese

Lai

et al. 2021

Intl Journal of Climatology

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“…Meanwhile, several studies have also emphasized that the decrease in wind speed was closely related to the change in the surface roughness, which is caused by urbanization, decreases in areas of forestation or pastures, increased vegetation heights due to increased crop production, etc. [ 24 ]. For instance, Zha et al [ 25 ] revealed that the increase in surface roughness could be mainly responsible for a decrement of 0.12 m s −1 for the SWS over China, as well as decreases of 0.57 and 0.30 m s −1 per decade for the wind speed among large and small cities, respectively.…”

Section: Introductionmentioning

confidence: 99%

“…For instance, Zha et al [ 25 ] revealed that the increase in surface roughness could be mainly responsible for a decrement of 0.12 m s −1 for the SWS over China, as well as decreases of 0.57 and 0.30 m s −1 per decade for the wind speed among large and small cities, respectively. Li et al [ 24 ] quantified the surface roughness effects over China during 1979–2015 using the observation-minus-reanalysis (OMR) method and identified an obvious decrease in observed wind speed at a rate of 0.11 m s −1 per decade.…”

Section: Introductionmentioning

confidence: 99%

Urbanization Effects on Surface Wind in the Guangdong–Hong Kong–Macao Greater Bay Area Using a Fan-Sector Method

Xia

Nie

Sun

et al. 2022

IJERPH

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Surface wind directly affects human life, wind energy utilization, the atmospheric environment, and many other aspects. The Guangdong–Hong Kong–Macau Greater Bay Area (GBA) megalopolis is experiencing an accelerated progress of urbanization, which may result in the change in surface roughness and atmospheric characteristics. In this study, urbanization effects on surface wind speed (SWS) in the GBA megalopolis, particularly Zhuhai, is investigated by using long-term automatic meteorological measurements, ERA5 reanalysis, and nighttime light data. Results of the analysis show that the averaged SWS has decreased significantly at a rate of −0.53 m s−1 per decade over the past decades. With the help of observation-minus-reanalysis (OMR) method, which excludes the atmospheric circulation effects, we found that the decrease in SWS is mainly contributed by the increase in surface roughness, which may account for as much as 75.5% of the decrease. In other words, it is the rapid development of urbanization, rather than the change in large-scale circulation, that could be mainly responsible for the decrease over the GBA in the context of the increasing global SWS since 2010. In addition, a fan-sector method is established to quantitatively analyze the correspondences between urbanization and roughness changes. It is shown that the decrease in wind speed due to surface roughness change is significantly related to the increase in the nighttime light index (NLI) averaged over the 3 km upstream fan-sectors. Moreover, their correlation reaches to 0.36 (negative) when only accounting for the samples of NLI greater than 10. In general, the fan-sector method offers an additional option for assessing the urbanization effects on SWS.

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“…In addition to a comparison of urban and rural stations, some studies also used the OMR method to assess the urbanization impact on regional NSWS changes in China (Li et al , 2019. Given that reanalysis products poorly represent many characteristics of historical NSWS changes in many regions (McVicar et al 2008, Pryor et al 2009, Chen et al 2013 as well as existing problems in the rationale of the OMR method (Trenberth 2004, Wang et al 2013, it is advisable to view the OMR-estimated urbanization contribution to the observed regional NSWS trend in urban areas with caution.…”

Section: Comparison Of the Observed And Reanalysis Wind Trendsmentioning

confidence: 99%

An analysis of the urbanization contribution to observed terrestrial stilling in the Beijing–Tianjin–Hebei region of China

Wang

Feng

Zeng

et al. 2020

Environ. Res. Lett.

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Decreases in terrestrial near-surface wind speed (NSWS) were documented in many regions over the past decades. Various drivers have been proposed for this terrestrial stilling, such as weakening of ocean-land pressure gradients related to climate change and increased surface roughness linked to vegetation growth; but none have been robustly established as the cause. A plausible reason for this quandary is that the local impact of urbanization on NSWS has been overlooked. Here, we used homogenized NSWS records from in situ weather stations and a satellite-based dynamic urban-rural classification scheme to quantitatively assess the contribution of urbanization to observed terrestrial stilling during 1980-2016 over the Beijing-Tianjin-Hebei region of China. Results suggested that urbanization contributed approximately 8% to the observed decrease in the regional NSWS in urban areas, implying that urbanization played a minor role in terrestrial stilling, even in this rapidly developing region. The largest NSWS changes related to urbanization occurred in winter, followed by spring, autumn, and summer. Urbanization reduced the days with relatively strong winds but increased the days with light and gentle winds. We found that except for the Japanese 55 year reanalysis (JRA-55) dataset, none of the common reanalysis products reproduced the observed NSWS trends in urban or rural areas. However, this could be because of JRA-55's intrinsic negative bias in NSWS trends over land. Thus, regional terrestrial NSWS trends derived from reanalysis products deserve careful examination.

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Effects of land use and cover change on surface wind speed in China

Cited by 17 publications

References 42 publications

Wind stilling‐reversal across Sweden: The impact of land‐use and large‐scale atmospheric circulation changes

Wind stilling‐reversal across Sweden: The impact of land‐use and large‐scale atmospheric circulation changes

Urbanization Effects on Surface Wind in the Guangdong–Hong Kong–Macao Greater Bay Area Using a Fan-Sector Method

An analysis of the urbanization contribution to observed terrestrial stilling in the Beijing–Tianjin–Hebei region of China

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