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Comparison and correction of IDW based wind speed interpolation methods in urbanized Shenzhen

作     者:Wei ZHAO Yuping ZHONG Qinglan LI Minghua LI Jia LIU Li TANG Wei ZHAO;Yuping ZHONG;Qinglan LI;Minghua LI;Jia LIU;Li TANG

作者机构:Shenzhen Institutes of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China Shenzhen Meteorological BureauShenzhen 518040China 

出 版 物:《Frontiers of Earth Science》 (地球科学前沿(英文版))

年 卷 期:2022年第16卷第3期

页      面:798-808页

核心收录:

学科分类:07[理学] 0708[理学-地球物理学] 0701[理学-数学] 070101[理学-基础数学] 

基  金:supported by the Science and Technology Department of Guangdong Province(No.2019B111101002) the Innovation of Science and Technology Commission of Shenzhen Municipality Ministry(No.JCYJ 20210324101006016) 

主  题:wind interpolation Shenzhen inverse distance weight gradient boosted regression trees 

摘      要:Based on the 2-min average wind speed observations at 100 automatic weather stations in Shenzhen from January 2008 to December 2018,this study tries to explore the ways to improve wind interpolation quality over the Shenzhen *** IDW based methods,i.e.,traditional inverse distance weight(IDW),modified inverse distance weight(MIDW),and gradient inverse distance weight(GIDW)are used to interpolate the near surface wind field in *** addition,the gradient boosted regression trees(GBRT)model is used to correct the wind interpolation results based on the three IDW based *** results show that among the three methods,GIDW has better interpolation effects than the other two in the case of stratified *** MSE and R2 for the GIDW’s in different months are in the range of 1.096-1.605 m/s and 0.340-0.419,***,in the case of leave-one-group-out crossvalidation,GIDW has no advantage over the other two *** the stratified sampling,GBRT effectively corrects the interpolated results by the three IDW based *** decreases to the range of 0.778-0.923 m/s,and R2 increases to the range of *** the nonstation area,the correction effect of GBRT is still robust,even though the elevation frequency distribution of the non-station area is different from that of the stations’*** correction performance of GBRT mainly comes from its consideration of the nonlinear relationship between wind speed and the elevation,and the combination of historical and current observation data.

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