摘要
基于2020年中国近海31个浮标的逐小时数据,使用统计分析方法对中国气象局高分辨率陆面数据同化系统(HRCLDAS-V1.0)和欧洲中期天气预报中心第5代全球大气再分析数据(ERA5)海面风场进行了系统的检验,检验结果表明:两者在我国近海均具有较高的可信度,风速平均绝对误差(MAE)分别为1.16 m/s和1.09 m/s,风向MAE分别为23°和22°。随着风力增大两者的风速准确度均有所降低,当风力等级≥10级时,前者准确度优于后者;对于风向而言,随着风力增大,两者准确度均升高。此外,选取2020年典型的两次冷空气过程和2008号台风“巴威”过程,检验两者在不同天气过程影响下的准确度,两类融合产品均能较好地再现冷空气过程引起的风向变化,而对不同强度的冷空气过程下的风速反映存在差异;对于台风引起的大风,在风速较低时两者风速均具有不错的表现,但HRCLDAS-V1.0对峰值强度的表现优于ERA5。
Based on hourly data from 31 buoys in the offshore areas of China in 2020,the sea-surface wind products available from the High Resolution China Meteorological Administration Land Surface Data Assimilation System(HRCLDAS-V1.0)and the Fifth Generation Global Atmospheric Reanalysis(ERA5)dataset were evaluated.The results showed that both HRCLDAS-V1.0 and ERA5 sea-surface wind had high credibility in the offshore areas of China.Their wind speed mean absolute error(MAE)were 1.16 m/s and 1.09 m/s respectively and wind direction MAE were 23°and 22°respectively.As wind intensity increased,their wind speed bias all became larger.When wind intensity level was greater than or equal to10,the HRCLDAS-V1.0 wind speed was better than the ERA5 wind speed.In terms of wind direction,the accuracy of both improved with the increase of wind intensity.In addition,two typical cold air events in2020 and Typhoon Bavi(2008)were used to examine the accuracy of HRCLDAS-V1.0 and ERA5 seasurface wind.Both HRCLDAS-V1.0 and ERA5 could reproduce the wind direction change caused by cold air events.However,there were some differences in wind speed during cold air events of different intensities.The HRCLDAS-V1.0 and ERA5 wind speed all had good performance when the wind speed was low during Typhoon Bavi.However,the performance of HRCLDAS-V1.0 was better than that of ERA5 for wind at peak intensity.
作者
渠鸿宇
黄彬
赵伟
宋佳凝
郭乙莹
胡海川
曹越男
QU Hongyu;HUANG Bin;ZHAO Wei;SONG Jianing;GUO Yiying;HU Haichuan;CAO Yuenan(National Meteorological Center,Beijing 100081,China)
出处
《热带气象学报》
CSCD
北大核心
2022年第4期569-579,共11页
Journal of Tropical Meteorology
基金
广东省重点领域研发计划项目(2019B111101002)
中国气象局创新发展专项(CXFZ2021J021)
国家重点研发计划(2018YFC1506904)共同资助
作者简介
通讯作者:黄彬,女,山东省人,研究员级高级工程师,主要从事海洋气象预报和研究。E-mail:hbzbj199928@163.com
