{"title":"基于真实环境的有效角动量预报赤道分量改进方法","authors":"Wei Miao, Xueqing Xu, Yonghong Zhou, Cancan Xu","doi":"10.1029/2024EA004174","DOIUrl":null,"url":null,"abstract":"<p>The findings from the Second Earth Orientation Parameters Prediction Comparison Campaign (2nd EOP PCC) suggest that integrating effective angular momentum (EAM) is vital for enhancing the accuracy of polar motion (PM) predictions. Building on Dill et al. (2021), https://doi.org/10.1029/2021ea002070, who identified systematic errors in the motion terms of atmospheric angular momentum (AAM), we discovered additional systematic errors in mass and motion terms of forecasts for the AAM, oceanic angular momentum (OAM) and hydrologic angular momentum (HAM), and promptly implemented corrections following their updates. During the hindcast experiment period from 20/5/2021 to 31/12/2023, and in the first three days in the <i>X</i> and <i>Y</i> directions, the proposed method showed advantages over the Helmholtz-Centre Potsdam—German Research Centre for Geosciences (GFZ) and Eidgenössische Technische Hochschule Zürich (ETH Zürich). Then, the corrected EAM forecasts and reference values were used in the PM forecasting experiments, which showed no improvement, likely due to the existing PM forecasting system and overcompensation. However, when employing the perfect analysis of GEAM (the difference between geodesic angular momentum (GAM) and EAM), the proposed method herein achieves a maximum improvement of 30.0% and 55.5% in the <i>X</i> direction and 8.4% and 48.4% in the <i>Y</i> direction, compared to the official EAM forecasts of GFZ and ETH Zürich. This fully demonstrates that improvements in both EAM and GEAM are essential for enhancing PM predictions, and the EAM forecasts corrected by the proposed method are more competitive than those of GFZ and ETH Zürich.</p>","PeriodicalId":54286,"journal":{"name":"Earth and Space Science","volume":"12 6","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2024EA004174","citationCount":"0","resultStr":"{\"title\":\"Method to Improve the Equatorial Components of Effective Angular Momentum Forecasts Based on Real Environments\",\"authors\":\"Wei Miao, Xueqing Xu, Yonghong Zhou, Cancan Xu\",\"doi\":\"10.1029/2024EA004174\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>The findings from the Second Earth Orientation Parameters Prediction Comparison Campaign (2nd EOP PCC) suggest that integrating effective angular momentum (EAM) is vital for enhancing the accuracy of polar motion (PM) predictions. Building on Dill et al. (2021), https://doi.org/10.1029/2021ea002070, who identified systematic errors in the motion terms of atmospheric angular momentum (AAM), we discovered additional systematic errors in mass and motion terms of forecasts for the AAM, oceanic angular momentum (OAM) and hydrologic angular momentum (HAM), and promptly implemented corrections following their updates. During the hindcast experiment period from 20/5/2021 to 31/12/2023, and in the first three days in the <i>X</i> and <i>Y</i> directions, the proposed method showed advantages over the Helmholtz-Centre Potsdam—German Research Centre for Geosciences (GFZ) and Eidgenössische Technische Hochschule Zürich (ETH Zürich). Then, the corrected EAM forecasts and reference values were used in the PM forecasting experiments, which showed no improvement, likely due to the existing PM forecasting system and overcompensation. 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引用次数: 0
摘要
第二次地球方向参数预测比较活动(2nd EOP PCC)的研究结果表明,积分有效角动量(EAM)对于提高极移(PM)预测的准确性至关重要。Dill等人(2021),https://doi.org/10.1029/2021ea002070发现了大气角动量(AAM)运动项的系统误差,在此基础上,我们发现了大气角动量(AAM)、海洋角动量(OAM)和水文角动量(HAM)预报的质量和运动项的额外系统误差,并在更新后及时实施了修正。在2021年5月20日至2023年12月31日的后投实验期间,在X和Y方向的前三天,该方法比Helmholtz-Centre pots坦- german Research Centre for Geosciences (GFZ)和Eidgenössische Technische Hochschule z rich (ETH z rich)更具优势。然后,将修正后的EAM预测值和参考值用于PM预测实验,结果表明,由于现有的PM预测系统和过度补偿,预测结果没有改善。然而,当采用GEAM(测地线角动量(GAM)与EAM之差)的完美分析时,与GFZ和ETH z rich的官方EAM预测相比,本文提出的方法在X方向上实现了30.0%和55.5%的最大改进,在Y方向上实现了8.4%和48.4%的最大改进。这充分表明EAM和GEAM的改进对于提高PM预测是必不可少的,并且通过所提出的方法修正的EAM预测比GFZ和ETH z rich的预测更具竞争力。
Method to Improve the Equatorial Components of Effective Angular Momentum Forecasts Based on Real Environments
The findings from the Second Earth Orientation Parameters Prediction Comparison Campaign (2nd EOP PCC) suggest that integrating effective angular momentum (EAM) is vital for enhancing the accuracy of polar motion (PM) predictions. Building on Dill et al. (2021), https://doi.org/10.1029/2021ea002070, who identified systematic errors in the motion terms of atmospheric angular momentum (AAM), we discovered additional systematic errors in mass and motion terms of forecasts for the AAM, oceanic angular momentum (OAM) and hydrologic angular momentum (HAM), and promptly implemented corrections following their updates. During the hindcast experiment period from 20/5/2021 to 31/12/2023, and in the first three days in the X and Y directions, the proposed method showed advantages over the Helmholtz-Centre Potsdam—German Research Centre for Geosciences (GFZ) and Eidgenössische Technische Hochschule Zürich (ETH Zürich). Then, the corrected EAM forecasts and reference values were used in the PM forecasting experiments, which showed no improvement, likely due to the existing PM forecasting system and overcompensation. However, when employing the perfect analysis of GEAM (the difference between geodesic angular momentum (GAM) and EAM), the proposed method herein achieves a maximum improvement of 30.0% and 55.5% in the X direction and 8.4% and 48.4% in the Y direction, compared to the official EAM forecasts of GFZ and ETH Zürich. This fully demonstrates that improvements in both EAM and GEAM are essential for enhancing PM predictions, and the EAM forecasts corrected by the proposed method are more competitive than those of GFZ and ETH Zürich.
期刊介绍:
Marking AGU’s second new open access journal in the last 12 months, Earth and Space Science is the only journal that reflects the expansive range of science represented by AGU’s 62,000 members, including all of the Earth, planetary, and space sciences, and related fields in environmental science, geoengineering, space engineering, and biogeochemistry.