Assessment of a Coastal Offshore Wind Climate by Means of Mesoscale Model Simulations Considering High-Resolution Land Use and Sea Surface Temperature Data Sets

被引：14

作者：

Kikuchi, Yuka ^{[1
]}

Fukushima, Masato ^{[2
]}

Ishihara, Takeshi ^{[1
]}

机构：

[1] Univ Tokyo, Dept Civil Engn, Tokyo 1138656, Japan

[2] Elect Power Dev Co Ltd, Tokyo 1048165, Japan

来源：

ATMOSPHERE | 2020年 / 11卷 / 04期

关键词：

mesoscale model; land-use data; sea surface temperature; nudging; wind speed; 4-DIMENSIONAL DATA ASSIMILATION; SENSITIVITY; AREA;

D O I：

10.3390/atmos11040379

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

In this study, offshore wind climate assessments are carried out by using mesoscale model Weather Research and Forecasting (WRF) and validated by measurement at a demonstration site located 3.1 km offshore of Choshi. An optimal nudging method is investigated by using offshore and meteorological observations. The land-use datasets are then created from a higher-resolution land-use data by using a maximum area sampling scheme according to the horizontal resolution of the mesoscale model. Finally, the sea surface temperature datasets are corrected by observation data. It is found that the relative error of annual wind speed is reduced from 7.3% to 2.2% and the correlation coefficient between predicted and measured wind speed is improved from 0.80 to 0.84 by considering the effects of land-use and sea surface temperature.

引用

页数：16

共 27 条

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[Anonymous], NCEP REAN DAT PROV N

[2]

Berge E., 2009, P EUR WIND EN C MARS

[3] Investigation of the Effects of Different Land Use and Land Cover Patterns on Mesoscale Meteorological Simulations in the Taiwan Area [J].