Estimating the impact of the changes in land use and cover on the surface wind speed over the East China Plain during the period 1980–2011

Wu, Jian; Zha, Jinlin; Zhao, Deming

doi:10.1007/s00382-015-2616-z

Cited by 77 publications

(86 citation statements)

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“…This contrasts with the overall discrepancy in reported near-surface wind speed trends over land (i.e., negative trends; McVicar et al 2012) and ocean (i.e., positive trends; Young et al 2011), partly attributed to an increase in land-surface roughness (i.e., forest growth, land use changes and urbanization) as initially reported by Vautard et al 2010, and recently confirmed by others (Bichet et al 2012;Wever 2012;Wu et al 2016). The lack of differences at the land-ocean interface below the TWIL may be due to the relative small area covered by the seven main islands comprising the Canary Islands archipelago (totalling 7446 km 2 of the 235,556 km 2 covered by Fig.…”

Section: Discussioncontrasting

confidence: 54%

Wind speed variability over the Canary Islands, 1948–2014: focusing on trend differences at the land–ocean interface and below–above the trade-wind inversion layer

et al. 2017

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Section: Discussioncontrasting

confidence: 54%

Wind speed variability over the Canary Islands, 1948–2014: focusing on trend differences at the land–ocean interface and below–above the trade-wind inversion layer

et al. 2017

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“…Furthermore, a composite analysis yields an SWS difference of 0.017 m s −1 in summer between strong and weak EASM years and an SWS difference of − 0.008 m s −1 in winter between strong and weak EAWM years, neither of which Rc is the threshold, P is the significance level, the black lines denote a 9-year low-pass-filtered time series with a Gaussian-type filter, and the pink solid lines denote the linear trend). (Copied from Wu et al (2016)) are significant at the 0.10 level . Therefore, long-term changes in the EAM system are not a predominant factor in controlling the observed decrease in SWS in the ECP region.…”

Section: Influence Of the Changes In The Large-scale Driving Force Onmentioning

confidence: 99%

Changes in terrestrial near-surface wind speed and their possible causes: an overview

et al. 2017

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drag forces are caused by changes in the external and internal friction in the atmosphere. Changes in surface friction are mainly caused by changes in the surface roughness due to land use and cover change (LUCC), including urbanization, and changes in internal friction are mainly induced by changes in the boundary layer characteristics. Future studies should compare the spatio-temporal differences in SWS between high and low altitudes and quantify the effects of different factors on the SWS. Additionally, in-depth analysis of extreme SWS events and prediction of future mean and extreme SWS values at global and regional scales are also necessary. Abstract Changes in terrestrial near-surface wind speed (SWS) are induced by a combination of anthropogenic activities and natural climate changes. Thus, the study of the long-term changes of SWS and their causes is very important for recognizing the effects of these processes. Although the slowdown in SWS has been analyzed in previous studies, to the best of knowledge, no overall comparison or detailed examination of this research has been performed. Similarly, the causes of the decreases in SWS and the best directions of future research have not been discussed in depth. Therefore, we analyzed a series of studies reporting SWS trends spanning the last 30 years from around the world. The changes in SWS differ among different regions. The most significant decreases have occurred in Central Asia and North America, with mean linear trends of − 0.11 m s −1 decade −1 ; the second most significant decreases have occurred in Europe, East Asia, and South Asia, with mean linear trends of − 0.08 m s −1 decade −1 ; and the weakest decrease has occurred in Australia. Although the SWS in Africa has decreased, this region lacks long-term observational data. Therefore, the uncertainties in the long-term SWS trend are higher in this region than in other regions. The changes in SWS, caused by a mixture of global-, regional-, and localscale factors, are mainly due to changes in driving forces and drag forces. The changes in the driving forces are caused by changes in atmospheric circulation, and the changes in the Keywords

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“…Meanwhile, the knowledge of probability distribution of SWS is essential for surface flux estimation, wind power estimation, and wind risk assessments (He et al, 2010). The increase of the drag coefficient and associated slowdown in SWS over ECP have been demonstrated by Wu et al (2016), but the impacts of LUCC on changes in probabilities for different wind grades are remain unclear. In this article, temporal characteristics in probabilities of different wind grades induced by LUCC are investigated further based on our former FWM.…”

Section: Introductionmentioning

confidence: 99%

“…Obviously, the MWS included the effect from temporal change of PGF and excluded the influence of drag coefficient change induced by LUCC, because the constant drag coefficient was used in the calculation of MWS. Finally, the difference between MWS and observed SWS at each station could quantify the influence of LUCC on SWS (Wu et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

“…In any case, LUCC can affect SWS changes, but it's difficult to isolate the impacts of LUCC on SWS and quantify its effects on SWS. In our former research, the frictional wind model (FWM) was used to separate the effects of PGF and LUCC on the long-term changes of SWS, in which the balance among the PGF, the Coriolis force, and the surface drag force was supposed (Wu et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

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Changes of probabilities in different wind grades induced by land use and cover change in Eastern China Plain during 1980–2011

Zha

Zhao

2016

Atmospheric Science Letters

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The differences of the near-surface wind speed (SWS) between the frictional wind model (FWM) and the observation are used to reflect the impacts of land use and cover change (LUCC) on SWS in Eastern China Plain (ECP). Results show that LUCC makes the range of SWS narrow, which had significantly weakening effect to stronger wind than weaker wind. In addition, the decrease of probabilities for observed gentle breeze (GB), moderate breeze (MB), and wind speed greater than or equal to 8 m s −1 (WSGE8) are more significant in large cities than that in small cities.

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Estimating the impact of the changes in land use and cover on the surface wind speed over the East China Plain during the period 1980–2011

Cited by 77 publications

References 50 publications

Wind speed variability over the Canary Islands, 1948–2014: focusing on trend differences at the land–ocean interface and below–above the trade-wind inversion layer

Wind speed variability over the Canary Islands, 1948–2014: focusing on trend differences at the land–ocean interface and below–above the trade-wind inversion layer

Changes in terrestrial near-surface wind speed and their possible causes: an overview

Changes of probabilities in different wind grades induced by land use and cover change in Eastern China Plain during 1980–2011

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