Application of XGBoost and traditional interpolation methods on wind fields in offshore areas of China

Wei Zhang; Chaofan Du; Shiying Shen

doi:10.1117/12.2623362

16 February 2022 Application of XGBoost and traditional interpolation methods on wind fields in offshore areas of China

Wei Zhang, Chaofan Du, Shiying Shen

Proceedings Volume 12083, Thirteenth International Conference on Graphics and Image Processing (ICGIP 2021); 1208305 (2022) https://doi.org/10.1117/12.2623362
Event: Thirteenth International Conference on Graphics and Image Processing (ICGIP 2021), 2021, Kunming, China

Abstract

China's coastal waters have significant alternating winter and summer monsoons, various meteorological activities are frequent, and marine resources are rich, and the development prospects are broad. Energy such as heat, function, and potential energy has a huge impact on human production and life. Therefore, accurate wind field data is useful for studying the coastal waters of China. This article uses multi-source satellite data, combined with the ERA-5 data provided by the European Weather Forecast Center (ECMWF), and uses classic machine learning methods and traditional interpolation methods to propose a feasible wind field interpolation method. The experiment generated seamless fined wind field data, and the wind field data has good accuracy, which can provide good data support for the construction of offshore areas in China.

Citation Download Citation

Wei Zhang, Chaofan Du, and Shiying Shen "Application of XGBoost and traditional interpolation methods on wind fields in offshore areas of China", Proc. SPIE 12083, Thirteenth International Conference on Graphics and Image Processing (ICGIP 2021), 1208305 (16 February 2022); https://doi.org/10.1117/12.2623362

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