Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/118451
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dc.contributorDepartment of Land Surveying and Geo-Informatics-
dc.contributorResearch Institute for Land and Space-
dc.contributorMainland Development Office-
dc.creatorHu, J-
dc.creatorQu, X-
dc.creatorLi, P-
dc.creatorDing, M-
dc.creatorDai, J-
dc.creatorDing, X-
dc.creatorChen, W-
dc.date.accessioned2026-04-15T02:05:05Z-
dc.date.available2026-04-15T02:05:05Z-
dc.identifier.issn1539-4956-
dc.identifier.urihttp://hdl.handle.net/10397/118451-
dc.language.isoenen_US
dc.publisherWiley-Blackwell Publishing, Inc.en_US
dc.rights© 2026. The Author(s).This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.en_US
dc.rightsThe following publication Hu, J., Qu, X., Li, P., Ding, M., Dai, J., Ding, X., & Chen, W. (2026). PPP-RTK Atmospheric correction generation and service applicability: A case study during Typhoon Saola and moderate geomagnetic disturbances in Hong Kong. Space Weather, 24, e2025SW004854 is available at https://doi.org/10.1029/2025SW004854.en_US
dc.titlePPP-RTK atmospheric correction generation and service applicability : a case study during typhoon Saola and moderate geomagnetic disturbances in Hong Kongen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume24-
dc.identifier.issue3-
dc.identifier.doi10.1029/2025SW004854-
dcterms.abstractComplex space weather, such as typhoons and solar activity, can cause heavy rainfall and ionospheric disturbances, affecting the quality of Global Navigation Satellite System (GNSS) signals. Among GNSS positioning techniques, Precise Point Positioning Real-time Kinematic (PPP-RTK) uses atmospheric corrections and bias products to achieve fast convergence and high accuracy solutions, with the quality of ionospheric and tropospheric corrections being critical to PPP-RTK performance. While most research focuses on improving user positioning accuracy, few studies address PPP-RTK applicability under complex space weather. This study uses GNSS data from Hong Kong to generate and verify PPP-RTK corrections during Typhoon Saola and a moderate geomagnetic disturbance in solar cycle 25. Results show that derived tropospheric zenith wet delay (ZWD) aligns with historical rainfall data, and ZWD model residuals are positively correlated with the typhoon process, with standard deviations below 4 mm. The ionospheric interpolation errors increase before and after landfall, and the possible reason is that the ionospheric perturbations in the eye of the storm are fewer than those at the edges of the typhoon. Across days, ionospheric interpolation error standard deviations range from 5 to 10 cm. PPP-RTK validation using these corrections achieves 1–2 cm accuracy with near-instantaneous convergence in east and north directions, while 2–5 min are needed for the up direction to converge to 2–6 cm accuracy. The assessment and validation confirm the high precision of atmospheric corrections and the applicability of PPP-RTK during typhoon Saola and moderate geomagnetic disturbances in a dense network in Hong Kong.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationSpace weather, Mar. 2026, v. 24, no. 3, e2025SW004854-
dcterms.isPartOfSpace weather-
dcterms.issued2026-03-
dc.identifier.scopus2-s2.0-105032791880-
dc.identifier.eissn1542-7390-
dc.identifier.artne2025SW004854-
dc.description.validate202604 bcch-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_TAen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThis research is supported by the National Natural Science Foundation of China (Grants 42504050, 42374026, 42330717), the Research Funds for the Interdisciplinary Projects, CHU (Grant 300104240914), the Guangdong-Hong Kong Joint Laboratory for Marine Infrastructure (2025B1212150001), and the University Grants Committee of Hong Kong under the General Research Fund (15229622, 152318/22E, 152344/23E). We would like to appreciate Dr. Tong Liu at The Hong Kong Polytechnic University for calculating the ROTI values.en_US
dc.description.pubStatusPublisheden_US
dc.description.TAWiley (2026)en_US
dc.description.oaCategoryTAen_US
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