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

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

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 Creators:
Kur, Tomasz1, Author
Śliwińska‐Bronowicz, Justyna1, Author
Wińska, Malgorzata1, Author
Dobslaw, Henryk2, Author              
Nastula, Jolanta1, Author
Partyka, Aleksander1, Author
Belda, Santiago1, Author
Bizouard, Christian1, Author
Boggs, Dale1, Author
Bruni, Sara1, Author
Chen, Lue1, Author
Chin, Mike1, Author
Dhar, Sujata1, Author
Dill, R.2, Author              
Duan, PengShuo1, Author
Ferrandiz, Jose M.1, Author
Gou, Junyang1, Author
Gross, Richard1, Author
Guessoum, Sonia1, Author
Han, Songtao1, Author
Heinkelmann, R.3, Author              Huang, ChengLi1, AuthorIrrgang, C.2, Author              Kudrys, Jacek1, AuthorLi, Jia1, AuthorLigas, Marcin1, AuthorLiu, Lintao1, AuthorLu, Weitao1, AuthorMayer, Volker1, AuthorMiao, Wei1, AuthorMichalczak, Maciej1, AuthorModiri, Sadegh1, AuthorOtten, Michiel1, AuthorRatcliff, Todd1, AuthorRaut, Shrishail1, AuthorSaynisch-Wagner, J.2, Author              Schartner, Matthias1, AuthorSchoenemann, Erik1, AuthorSchuh, H.3, Author              Shahvandi, M. Kiani1, AuthorSoja, Benedikt1, AuthorSu, Xiaoqing1, AuthorThaller, Daniela1, AuthorThomas, M.2, Author              Wang, Guocheng1, AuthorWu, Yuanwei1, AuthorXu, CanCan1, AuthorXu, Xueqing1, AuthorYang, Xinyu1, AuthorZhao, Xin1, AuthorZhou, Zhijin1, Author more..
Affiliations:
1External Organizations, ou_persistent22              
21.3 Earth System Modelling, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146027              
31.1 Space Geodetic Techniques, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146025              

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Free keywords: Earth orientation parameters; predictions; polar motion; effective angular momentum; Earth orientation parameters prediction comparison campaign
 Abstract: 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.

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Language(s): eng - English
 Dates: 2024-11-052024
 Publication Status: Finally published
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1029/2023EA003278
GFZPOF: p4 T2 Ocean and Cryosphere
OATYPE: Gold Open Access
 Degree: -

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Title: Earth and Space Science
Source Genre: Journal, SCI, Scopus, oa
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Pages: - Volume / Issue: 11 (11) Sequence Number: e2023EA003278 Start / End Page: - Identifier: CoNE: https://gfzpublic.gfz-potsdam.de/cone/journals/resource/180712
Publisher: American Geophysical Union (AGU)
Publisher: Wiley