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中国近海海域多模式海面风速预报评估
作者:张弛1  王久珂2  魏立新1  郭安博宇3  黄焕卿1  刘晓燕1  陈剑桥4 
单位:1. 国家海洋环境预报中心, 北京 100081;
2. 中山大学人工智能学院, 广东 珠海 5190822;
3. 国家海洋环境预报中心 自然资源部海洋灾害预报技术重点实验室, 北京 100081;
4. 南方海洋科学与工程广东省实验室(珠海), 广东 珠海, 5190822
关键词:数值模式 海面风 风速预报 浮标 评估 
分类号:P457.5
出版年·卷·期(页码):2025·42·第一期(81-88)
摘要:
由于海上观测资料的匮乏,中国近海海域风场预报研究相对不足。研究评估了南方海洋科学与工程广东省实验室(珠海)自主改进的天气研究和预报模式(WRF)在2023年1—7月对中国近海海域海面风速的预报性能。选取欧洲中期天气预报中心的集成预报系统模式(IFS)和美国国家环境预报中心的全球预报系统模式(GFS)作为对比,预报时效包括24 h、48 h、72 h、96 h和120 h,采用中国近海浮标观测实况数据作为对比基准。研究结果表明:WRF模式的预报精度在多个预报时效下均优于GFS,在部分预报时效内优于IFS模式;对于高风速区间,WRF模式在24 h和48 h的预报表现尤为突出。
Due to the scarcity of ocean observational data, researches on wind field forecasting assessment in these areas remains relatively rare. This study assesses the performance of the WRF (Weather Research and Forecasting) model implemented at the Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) on forecasting sea surface wind speeds at lead times of 24, 48, 72, 96 and 120 hours, in China's nearshore areas from January to July 2023, against the Integrated Forecasting System (IFS) of the European Centre for Medium-Range Weather Forecasts, the Global Forecast System (GFS) of the National Centers for Environmental Prediction and real-time buoy data. The results show that the WRF model has higher accuracy than the GFS and IFS models in several forecast periods. In high wind speed range, the WRF model is particularly well at 24 and 48 hours.
参考文献:
[1] CHENG Q Y, WANG X T, CHEN D S, et al. Impact of ship emissions on air quality in the Guangdong-Hong Kong-Macao Greater Bay Area (GBA): with a particular focus on the role of onshore wind[J]. Sustainability, 2023, 15(11): 8820.
[2] 黄小猛, 林岩銮, 熊巍, 等. 数值预报AI气象大模型国际发展动态研究[J]. 大气科学学报, 2024, 47(1): 46-54. HUANG X M, LIN Y L, XIONG W, et al. Research on international developments of AI large meteorological models in numerical forecasting[J]. Transactions of Atmospheric Sciences, 2024, 47(1): 46-54.
[3] KALNAY E. Atmospheric modeling, data assimilation and predictability[M]. Cambridge: Cambridge University Press, 2002.
[4] BAUER P, THORPE A, BRUNET G. The quiet revolution of numerical weather prediction[J]. Nature, 2015, 525(7567): 47-55.
[5] SIMMONS A J, HOLLINGSWORTH A. Some aspects of the improvement in skill of numerical weather prediction[J]. Quarterly Journal of the Royal Meteorological Society, 2002, 128(580): 647-677.
[6] SKAMAROCK W C, KLEMP J B, DUDHIA J, et al. A description of the advanced research WRF version 3[R]. Boulder: University Corporation for Atmospheric Research, 2008.
[7] BALDAUF M, SEIFERT A, FÖRSTNER J, et al. Operational convective-scale numerical weather prediction with the COSMO model: description and sensitivities[J]. Monthly Weather Review, 2011, 139(12): 3887-3905.
[8] SAITO K, ISHIDA J I, ARANAMI K, et al. Nonhydrostatic atmospheric models and operational development at JMA[J]. Journal of the Meteorological Society of Japan. Ser. II, 2007, 85B: 271-304.
[9] 陈德辉, 沈学顺. 新一代数值预报系统GRAPES研究进展[J]. 应用气象学报, 2006, 17(6): 773-777. CHEN D H, SHEN X S. Recent progress on GRAPES research and application[J]. Journal of Applied Meteorological Science, 2006, 17(6): 773-777.
[10] ZHANG R H, SHEN X S. On the development of the GRAPES— a new generation of the national operational NWP system in China [J]. Chinese Science Bulletin, 2008, 53(22): 3429-3432.
[11] 黄丽萍, 邓莲堂, 王瑞春, 等. CMA-MESO关键技术集成及应用[J]. 应用气象学报, 2022, 33(6): 641-654. HUANG L P, DENG L T, WANG R C, et al. Key technologies of CMA-MESO and application to operational forecast[J]. Journal of Applied Meteorological Science, 2022, 33(6): 641-654.
[12] 张弛, 蔡靖泽, 吴伦宇, 等. 2019年海面风网格化预报检验[J]. 海洋预报, 2023, 40(4): 56-63. ZHANG C, CAI J Z, WU L Y, et al. Validation of gridded sea surface wind forecasts in 2019[J]. Marine Forecasts, 2023, 40(4): 56-63.
[13] WANG J J, LI B X, GAO Z Y, et al. Comparison of ECMWF significant wave height forecasts in the China Sea with buoy data [J]. Weather and Forecasting, 2019, 34(6): 1693-1704.
[14] LU H, XIE M, ZHAO W, et al. Comparisons and quality control of wind observations in a mountainous city using wind profile radar and the Aeolus satellite[J]. Atmospheric Measurement Techniques, 2024, 17(1): 167-179.
[15] PENDLEBURY S F, ADAMS N D, HART T L, et al. Numerical weather prediction model performance over high southern latitudes[J]. Monthly Weather Review, 2003, 131(2): 335-353.
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