Plateau Meteorology

Plateau Meteorology >

2017 , Vol. 36 >Issue 3: 852 - 864

DOI: https://doi.org/10.7522/j.issn.1000-0534.2016.00052

Implement of ENVISAT-ASAR Observed Data in the Wind Fields Investigation of the Offshore Area in Jiangsu Province

  • CHEN Yan ,
  • XU Xiazhen ,
  • HUANG Jingfeng ,
  • GUO Qiaoying
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  • Jiangsu Climate Center, Nanjing 210009, China;Institute of Remote Sensing and Information Application, Zhejiang University, Hangzhou 310058, China

Received date: 2016-03-03

  Online published: 2017-06-28

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Abstract

When the study the characteristics of offshore wind farms, less direct observations at sea is an important constraint. Satellite observation is high resolution and all-weather observation; It is an important method to overcome the lack of in-situ observations of wind fields over sea surface. This paper focus on the offshore area of Jiangsu Province and take advantage of the ASAR (Advanced Synthetic Aperture Radar) observations in ocean wind field's investigations. The ocean winds retrieval form 11 ASAR observed data in year 2008 are firstly evaluated with observations from 21 meteorological stations in coastal/offshore area, then the ocean winds retrieval form ASAR data are assimilated into the WRF (Weather Research and Forecasting model) for the numerical simulations. The results show that:The ocean winds retrieval form ASAR observed data agree well with the meteorological station observations. The wind speeds retrieval form ASAR data are slightly greater than station observations with an absolute error of 0. 5 m·s-1, a relative error of 15. 3% and a root mean square error (RMSE) of 1. 8 m·s-1; 83. 6% of the wind speeds retrieval form ASAR data are of a bias of ±2 m·s-1. The wind speeds retrieval form ASAR data overestimate while meteorological station observed wind speed less than 6. 0 m·s-1. The inversed wind directions have a north shift with a mean bias of -10. 6° and a RMSE of 39. 3°; 83. 6% of the wind directions retrieval form ASAR data are of a bias of ±22.5°. The ASAR observations are proved to be a good data source for sea surface wind field analysis. With the ocean winds retrieval form ASAR observed data assimilated, the RMSE of WRF model simulations in wind speed decreases from 1. 4 m·s-1 to 0. 9 m·s-1 in the January case, and from 2. 9 m·s-1 to 1. 6 m·s-1 to the July case, the simulated errors at 80% observation stations are less than 2. 0 m·s-1. The simulated RMSE in wind direction decreases from 73. 1° to 57. 3° in the January case, and from 67. 1° to 50. 6° in the July case, the simulated errors at 40% observation stations are less than ±22.5°. The wind speed of the site which is far away from the land is effect by the sea, while compare with the wind speed of land site. ASAR observed data carry more authentic wind information. The model performance improves better over the remote sea surface with the ASAR observations assimilated.

Key words： 3D data assimilation; Advanced Synthetic A; Wind speed verificat; Offshore wind field

Cite this article

CHEN Yan , XU Xiazhen , HUANG Jingfeng , GUO Qiaoying . Implement of ENVISAT-ASAR Observed Data in the Wind Fields Investigation of the Offshore Area in Jiangsu Province[J]. Plateau Meteorology, 2017 , 36(3) : 852 -864 . DOI: 10.7522/j.issn.1000-0534.2016.00052

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