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Prospects of Predicting the Polar Motion Based on the Results of the Second Earth Orientation Parameters Prediction Comparison Campaign

Urheber*innen

Kur,  Tomasz
External Organizations;

Śliwińska‐Bronowicz,  Justyna
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Wińska,  Malgorzata
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/persons/resource/dobslaw

Dobslaw,  Henryk
1.3 Earth System Modelling, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Nastula,  Jolanta
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Partyka,  Aleksander
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Belda,  Santiago
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Bizouard,  Christian
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Boggs,  Dale
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Bruni,  Sara
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Chen,  Lue
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Chin,  Mike
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Dhar,  Sujata
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/persons/resource/dill

Dill,  R.
1.3 Earth System Modelling, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Duan,  PengShuo
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Ferrandiz,  Jose M.
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Gou,  Junyang
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Gross,  Richard
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Guessoum,  Sonia
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Han,  Songtao
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/persons/resource/rob

Heinkelmann,  R.
1.1 Space Geodetic Techniques, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Huang,  ChengLi
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/persons/resource/irrgang

Irrgang,  C.
1.3 Earth System Modelling, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Kudrys,  Jacek
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Li,  Jia
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Ligas,  Marcin
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Liu,  Lintao
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Lu,  Weitao
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Mayer,  Volker
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Miao,  Wei
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Michalczak,  Maciej
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Modiri,  Sadegh
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Otten,  Michiel
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Ratcliff,  Todd
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Raut,  Shrishail
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/persons/resource/saynisch

Saynisch-Wagner,  J.
1.3 Earth System Modelling, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Schartner,  Matthias
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Schoenemann,  Erik
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/persons/resource/schuh

Schuh,  H.
1.1 Space Geodetic Techniques, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Shahvandi,  M. Kiani
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Soja,  Benedikt
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Su,  Xiaoqing
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Thaller,  Daniela
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/persons/resource/mthomas

Thomas,  M.
1.3 Earth System Modelling, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Wang,  Guocheng
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Wu,  Yuanwei
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Xu,  CanCan
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Xu,  Xueqing
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Yang,  Xinyu
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Zhao,  Xin
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Zhou,  Zhijin
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5029170.pdf
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Zitation

Kur, T., Śliwińska‐Bronowicz, J., Wińska, M., Dobslaw, H., Nastula, J., Partyka, A., Belda, S., Bizouard, C., Boggs, D., Bruni, S., Chen, L., Chin, M., Dhar, S., Dill, R., Duan, P., Ferrandiz, J. M., Gou, J., Gross, R., Guessoum, S., Han, S., Heinkelmann, R., Huang, C., Irrgang, C., Kudrys, J., Li, J., Ligas, M., Liu, L., Lu, W., Mayer, V., Miao, W., Michalczak, M., Modiri, S., Otten, M., Ratcliff, T., Raut, S., Saynisch-Wagner, J., Schartner, M., Schoenemann, E., Schuh, H., Shahvandi, M. K., Soja, B., Su, X., Thaller, D., Thomas, M., Wang, G., Wu, Y., Xu, C., Xu, X., Yang, X., Zhao, X., Zhou, Z. (2024): Prospects of Predicting the Polar Motion Based on the Results of the Second Earth Orientation Parameters Prediction Comparison Campaign. - Earth and Space Science, 11, 11, e2023EA003278.
https://doi.org/10.1029/2023EA003278


Zitierlink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5029170
Zusammenfassung
Growing interest in Earth Orientation Parameters (EOP) resulted in various approaches to the EOP prediction algorithms, as well as in the exploitation of distinct input data, including the observed EOP values from various operational data centers and modeled effective angular momentum functions. Considering these developments and recently emerged new methodologies, the Second Earth Orientation Parameters Prediction Comparison Campaign (2nd EOP PCC) was pursued in 2021–2022. The campaign was led by Centrum Badań Kosmicznych Polskiej Akademii Nauk in cooperation with Deutsches GeoForschungsZentrum and under the auspices of the International Earth Rotation and Reference Systems Service. This paper provides the analysis and evaluation of the polar motion predictions submitted during the 2nd EOP PCC with the prediction horizons between 10 and 30 days. Our analysis shows that predictions are highly reliable with only a few occasional discrepancies identified in the submitted files. We demonstrate the accuracy of EOP predictions by (a) calculating the mean absolute error relative to polar motion observations from September 2021 through December 2022 and (b) assessing the stability of the predictions in time. The analysis shows unequal results for the x and y components of polar motion (PMx and PMy, respectively). Predictions of PMy are usually more accurate and have a smaller spread across all submitted files when compared to PMx. We present an analysis of similarity between the participants to indicate what methods and input data give comparable output. We also prepared the ranking of prediction methods for polar motion summarizing the achievements of the campaign.