HY-2D卫星散射计海面风场产品在西北太平洋区域的适用性分析-海洋预报

HY-2D卫星散射计海面风场产品在西北太平洋区域的适用性分析

单位：1. 国家海洋环境预报中心, 北京 100081;
2. 自然资源部空间海洋遥感与应用研究重点实验室, 北京 100081;
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. 自然资源部南海海域海岛中心, 广东广州 510310

关键词：HY-2D卫星散射计海面风场西北太平洋适用性 ERA5

分类号：P732

出版年·卷·期（页码）：2024·41·第五期（89-98）

摘要：

基于中国近海浮标数据、欧洲中期天气预报中心第五代全球再分析资料ERA5和MetOpB卫星散射计ASCAT海面风场数据，对HY-2D卫星散射计反演的风场数据在西北太平洋区域的质量进行了检验评估，用以分析其在该区域的适用性。统计结果表明：HY-2D风场数据与中国近海浮标数据、ERA5数据和ASCAT数据均有较好的一致性，3组检验结果的风速均方根误差分别为0.98 m/s、1.23 m/s和0.58 m/s，误差都很好地控制在2 m/s以内；风向均方根误差分别为18.8°、16.8°和12.8°，误差均控制在20°以内；HY-2D风场数据与ASCAT数据有着最好的一致性。对比HY-2D风场数据和中国近海浮标站点风矢量数据，未发现离岸距离和误差之间的明显规律。在HY-2D风场数据与ERA5和ASCAT的对比结果中，近9成数据的风速绝对误差≤2 m/s、风向绝对误差≤20°。由此可见，HY-2D卫星散射计反演的海面风场数据在西北太平洋区域质量较高，能够较好地满足业务化应用的精度要求。

Based on the Chinese offshore buoy data, the European Centre for Medium-Range Weather Forecasts (ECMWF) fifth-generation global reanalysis data (ERA5), and the MetOp-B satellite scatterometer ASCAT sea surface wind field data, the quality of wind field data from the HY-2D satellite scatterometer inversion is evaluated to analyze its applicability in the Northwest Pacific region. The statistical results show that the HY-2D wind field data are in good agreement with the Chinese offshore buoy data, the ERA5 and ASCAT data. The rootmean-square errors of wind speed against the three data sets are 0.98 m/s, 1.23 m/s and 0.58 m/s, and those of wind direction are 18.8°, 16.8° and 12.8°, respectively. All of which are lower than 2 m/s and 20°. Comparison of wind vector data from the HY-2D and Chinese offshore buoy data does not reveal a clear relationship between offshore distance and the error. Comparison against the ERA5 and ASCAT data shows that the percentage of the data with wind speed absolute error ≤2 m/s and wind direction absolute error ≤20° is nearly 90%. In summary, the quality of the HY-2D scatterometer sea surface wind field in the Northwest Pacific region is high enough to satisfy the accuracy requirements of operational applications.

参考文献：

[1] 林明森, 邹巨洪, 解学通, 等. HY-2A微波散射计风场反演算法[J]. 中国工程科学, 2013, 15(7):68-74. LIN M S, ZOU J H, XIE X T, et al. HY-2A microwave scatterometer wind retrieval algorithm[J]. Strategic Study of CAE, 2013, 15(7):68-74.
[2] 郭春迓, 钟水新, 胡亮, 等. ASCAT反演风场与华南及南海站点观测对比分析[J]. 热带气象学报, 2020, 36(4):508-517. GUO C Y, ZHONG S X, HU L, et al. Comparative analysis of ASCAT inversion winds and AWS observations in the South China Sea[J]. Journal of Tropical Meteorology, 2020, 36(4):508-517.
[3] 郭鑫, 韩震, 张雪薇, 等. HY-2B卫星散射计神经网络多区间风速反演[J]. 海洋科学进展, 2021, 39(2):268-278. GUO X, HAN Z, ZHANG X W, et al. Multiple interval wind speed inversion for HY-2B satellite scatterometer based on neural network[J]. Advances in Marine Science, 2021, 39(2):268-278.
[4] 陈坤堂, 董晓龙, 徐星欧, 等. 微波散射计反演海面风场的神经网络方法研究[J]. 遥感技术与应用, 2017, 32(4):683-690. CHEN K T, DONG X L, XU X O, et al. The study on oceanic vector wind field retrieve technique based on neural networks of microwave scatterometer[J]. Remote Sensing Technology and Application, 2017, 32(4):683-690.
[5] 渠鸿宇, 黄彬, 赵伟, 等. HRCLDAS-V1.0和ERA5海面风场对比评估分析[J]. 热带气象学报, 2022, 38(4):569-579. QU H Y, HUANG B, ZHAO W, et al. Comparison and evaluation of HRCLDAS-V1.0 and ERA5 sea-surface wind fields[J]. Journal of Tropical Meteorology, 2022, 38(4):569-579.
[6] 连喜虎, 刘桂艳, 高松, 等. EC细网格10m风场产品在渤、黄海海域的预报能力检验与评估[J]. 海洋预报, 2020, 37(6):74-82. LIAN X H, LIU G Y, GAO S, et al. Evaluation of the ECMWF forecast skills for the 10m wind field in the Bohai Sea and the Yellow Sea[J]. Marine Forecasts, 2020, 37(6):74-82.
[7] NADERI F M, FREILICH M H, LONG D G. Spaceborne radar measurement of wind velocity over the ocean-an overview of the NSCAT scatterometer system[J]. Proceedings of the IEEE, 1991, 79(6):850-866.
[8] 吕思睿, 林文明, 邹巨洪, 等. 多源卫星遥感海面风速误差分析和交叉标定[J]. 海洋学报, 2023, 45(5):118-128. LYU S R, LIN W M, ZOU J H, et al. Error quantification and cross calibration of sea surface wind speeds from multiple remote sensing satellites[J]. Haiyang Xuebao, 2023, 45(5):118-128.
[9] WANG Z X, ZOU J H, ZHANG Y G, et al. Intercalibration of backscatter measurements among Ku-band scatterometers onboard the Chinese HY-2 satellite constellation[J]. Remote Sensing, 2021, 13(23):4783.
[10] YANG S, MU B, SHI H Q, et al. Validation and accuracy analysis of wind products from scatterometer onboard the HY-2B satellite [J]. Acta Oceanologica Sinica, 2023, 42(2):74-82.
[11] 陈克海, 解学通, 张金兰, 等. HY-2B卫星散射计海面风场产品质量分析[J]. 热带海洋学报, 2020, 39(6):30-40. CHEN K H, XIE X T, ZHANG J L, et al. Accuracy analysis of the retrieved wind from HY-2B scatterometer[J]. Journal of Tropical Oceanography, 2020, 39(6):30-40.
[12] YANG S, ZHANG L, LIN M S, et al. Evaluation of sea surface wind products from scatterometer onboard the Chinese HY-2D satellite[J]. Remote Sensing, 2023, 15(3):852.
[13] 王东良, 姚小海, 孟雷, 等. 海洋二号卫星散射计风场产品真实性检验及分析[J]. 海洋预报, 2014, 31(4):47-53. WANG D L, YAO X H, MENG L, et al. Validation and analysis of wind field products of HY-2[J]. Marine Forecasts, 2014, 31(4):47-53.
[14] MAHRT L. Surface wind direction variability[J]. Journal of Applied Meteorology and Climatology, 2011, 50(1):144-152.
[15] 刘婷婷, 朱秀芳, 张世喆, 等. ERA5再分析地面气温数据在中国区域的适用性分析[J]. 热带气象学报, 2023, 39(1):78-88. LIU T T, ZHU X F, ZHANG S Z, et al. Applicability analysis of ERA5 reanalysis surface air temperature data in China[J]. Journal of Tropical Meteorology, 2023, 39(1):78-88.
[16] OSES N, AZPIROZ I, MARCHI S, et al. Analysis of Copernicus’ ERA5 climate reanalysis data as a replacement for weather station temperature measurements in machine learning models for olive phenology phase prediction[J]. Sensors, 2020, 20(21):6381.

服务与反馈：

【文章下载】【发表评论】【查看评论】【加入收藏】