主办单位:中国气象局沈阳大气环境研究所
国际刊号:ISSN 1673-503X
国内刊号:CN 21-1531/P

气象与环境学报 ›› 2025, Vol. 41 ›› Issue (3): 44-51.doi: 10.3969/j.issn.1673-503X.2025.03.006

• 论文 • 上一篇    

风网格实况分析产品在黑龙江省的检验评估

刘松涛1, 高梦竹1, 齐铎1, 王承伟1, 石慕真2   

  1. 1. 黑龙江省气象台, 黑龙江哈尔滨 150030;
    2. 黑龙江省生态气象中心, 黑龙江哈尔滨 150030
  • 收稿日期:2024-11-27 修回日期:2025-04-22 发布日期:2025-09-29
  • 通讯作者: 王承伟,女,正高级工程师,E-mail:279731363@qq.com。 E-mail:279731363@qq.com
  • 作者简介:刘松涛,男,1980年生,高级工程师,主要从事数值预报解释应用和智能网格预报技术研究,E-mail:19019754@qq.com。
  • 基金资助:
    中国气象局复盘总结专项项目(FPZJ2023-038)、黑龙江省气象局“智能网格预报及数值模式释用”创新团队和国家重点研发计划(2018YFC1507305)和黑龙江省自然科学基金联合引导项目(LH2022D0217)共同资助。

Evaluation and validation of gridded wind field analysis products in Heilongjiang Province

LIU Songtao1, GAO Mengzhu1, QI Duo1, WANG Chengwei1, SHI Muzhen2   

  1. 1. Heilongjiang Meteorological Observatory, Harbin 150030, China;
    2. Heilongjiang Eco-meteorological Center, Harbin 150030, China
  • Received:2024-11-27 Revised:2025-04-22 Published:2025-09-29

摘要: 利用2020年1月1日00:00至2024年12月25日00:00黑龙江省910个地面观测站的逐小时观测数据为真值,采用METEVA检验工具、双线性插值方法等,对国家级逐小时5 km分辨率的10 m风网格实况分析产品开展检验评估。结果表明:总体来看,该产品在黑龙江省内平均误差、绝对误差及均方根误差较低,且保持较好的一致性,说明该产品在黑龙江省具有较好的适用性。从误差空间分布上看,西部平原和东南部山区准确率相对较低,其他地区风速平均误差在±2 m·s-1以内的准确率在85%以上,这可能与东南部山区地形复杂性、西部平原下垫面性质差异大有关。从全年变化看,风速(风力等级)总体为负偏差,4—5月表现更为明显,冬季相对较好,风矢量也表现出相同特征;风向检验则表现为春季相对较好,夏季相对差。在日变化方面,白天(08:00—18:00)风速负偏差较大,夜间较小;0~1级风误差最小,2级以上风负偏差随等级递增,≥7级误差日变幅显著增大。

关键词: 风网格实况分析产品, 站点观测, 逐小时, 检验评估

Abstract: Using hourly ground observation data from 910 stations in Heilongjiang Province from 00:00 on 1 January 2020 to 00:00 on 25 December 2024 as the benchmark,the national-level hourly 10 m wind gridded live analysis product with a 5km resolution was evaluated by utilizing tools such as the METEVA validation tool and bilinear interpolation methods.The results indicate that this product exhibits low mean error,absolute error,and root mean square error within Heilongjiang Province,maintaining good consistency.Overall,the product demonstrates good applicability in Heilongjiang Province.In terms of spatial error distribution,the accuracy is relatively lower in the western plains and southeastern mountainous regions,while in the other regions,the accuracy for errors within ±2 m·s-1 exceeds 85%.This may be attributed to the complex topography in the southeastern mountains and the significant variations in underlying surface properties of the western plains.From the perspective of annual variations,wind speed (wind force grade) generally exhibits negative deviations,particularly pronounced from April to May,while it performs relatively better in winter,with wind vectors displaying similar characteristics.The wind direction tests show better results in spring compared to summer.In terms of diurnal variations,the negative deviation of wind speed is larger during the daytime (08:00-18:00) and smaller at night.The smallest error is observed for winds of grade 0-1,while the negative deviation increase with winds for grade ≥2,and the diurnal variation amplitude becomes significantly larger with winds for grade ≥ 7.

Key words: Gridded wind field analysis products, Station observation, Hourly, Verification and evaluation

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