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Deducing Aerodynamic Roughness Length From Abundant Anemometer Tower Data to Inform Wind Resource Modeling

文献类型：期刊论文

作者Wang, Jiamin3; Yang, Kun2,3; Yuan, Ling1; Liu, Jiarui3; Peng, Zhong4,5; Ren, Zuhuan3; Zhou, Xu2
刊名GEOPHYSICAL RESEARCH LETTERS
出版日期2024-11-16
卷号51期号:21页码:11
关键词aerodynamic roughness length wind resource modeling anemometer towers
ISSN号0094-8276
DOI10.1029/2024GL111056
英文摘要Aerodynamic roughness length (z0 ${z}_{0}$) fundamentally affects land surface momentum loss and wind resource simulation, but ground truth data of z0 ${z}_{0}$ are sparse in space, causing z0 ${z}_{0}$ datasets used in atmospheric models are empirically estimated from land cover types through a look-up table. In this study, we derived z0 ${z}_{0}$ values from 101 anemometer towers in China. Taking them as ground truth, we show that existing gridded z0 ${z}_{0}$ datasets determined from either a look-up table or a machine-learning method contain considerable uncertainty and fail to capture the variability of z0 ${z}_{0}$ within each land cover type, although the latter performs better. Even for the widely used ERA5, its z0 ${z}_{0}$ is overestimated in wind-rich regions of China, causing an underestimation of near-surface wind speed. This highlights the necessity to improve z0 ${z}_{0}$ data in atmospheric models. Current rapidly expanding anemometer towers may substantially enrich z0 ${z}_{0}$ truth data and thus provide potential to improve wind resource modeling.
WOS关键词ZERO-PLANE DISPLACEMENT ; SPEED ; URBANIZATION ; SURFACES ; HEIGHT ; ERA5
资助项目the National Natural Science Foundation of China[42475138] ; the National Natural Science Foundation of China[41988101] ; National Natural Science Foundation of China[HZXS-FNKF-JS-202306-0010] ; China State Shipbuilding Corporation Haizhuang Windpower Co., Ltd.
WOS研究方向Geology
语种英语
WOS记录号WOS:001383293200001
出版者AMER GEOPHYSICAL UNION
资助机构the National Natural Science Foundation of China ; National Natural Science Foundation of China ; China State Shipbuilding Corporation Haizhuang Windpower Co., Ltd.
源URL[http://ir.igsnrr.ac.cn/handle/311030/212199]  
专题资源与环境信息系统国家重点实验室_外文论文
通讯作者Yang, Kun
作者单位1.China State Shipbuilding Corp Haizhuang Windpower, Chongqing, Peoples R China
2.Chinese Acad Sci, Inst Tibetan Plateau Res, Natl Tibetan Plateau Data Ctr, State Key Lab Tibetan Plateau Earth Syst Environm, Beijing, Peoples R China
3.Tsinghua Univ, Inst Global Change Studies, Dept Earth Syst Sci, Minist Educ,Key Lab Earth Syst Modeling, Beijing 100084, Peoples R China
4.Henan Polytech Univ, Sch Surveying & Land Informat Engn, Jiaozuo, Peoples R China
5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Wang, Jiamin,Yang, Kun,Yuan, Ling,et al. Deducing Aerodynamic Roughness Length From Abundant Anemometer Tower Data to Inform Wind Resource Modeling[J]. GEOPHYSICAL RESEARCH LETTERS,2024,51(21):11.
APA Wang, Jiamin.,Yang, Kun.,Yuan, Ling.,Liu, Jiarui.,Peng, Zhong.,...&Zhou, Xu.(2024).Deducing Aerodynamic Roughness Length From Abundant Anemometer Tower Data to Inform Wind Resource Modeling.GEOPHYSICAL RESEARCH LETTERS,51(21),11.
MLA Wang, Jiamin,et al."Deducing Aerodynamic Roughness Length From Abundant Anemometer Tower Data to Inform Wind Resource Modeling".GEOPHYSICAL RESEARCH LETTERS 51.21(2024):11.

入库方式： OAI收割

来源：地理科学与资源研究所

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