{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T00:06:33Z","timestamp":1760832393853,"version":"build-2065373602"},"publisher-location":"Singapore","reference-count":19,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819534586","type":"print"},{"value":"9789819534593","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T00:00:00Z","timestamp":1760832000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T00:00:00Z","timestamp":1760832000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-981-95-3459-3_2","type":"book-chapter","created":{"date-parts":[[2025,10,18]],"date-time":"2025-10-18T02:22:30Z","timestamp":1760754150000},"page":"18-33","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Global Ocean Forecasting by\u00a0Structure-Aware Network with\u00a0Multi-scale Interactions"],"prefix":"10.1007","author":[{"given":"Haoming","family":"Jia","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yi","family":"Han","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guang","family":"Yu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiang","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ying","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,10,19]]},"reference":[{"key":"2_CR1","unstructured":"Chen, D., O\u2019Bray, L., Borgwardt, K.: Structure-aware transformer for graph representation learning. In: Proc. Int. Conf. Mach. Learn., pp. 3469\u20133489. PMLR (2022)"},{"key":"2_CR2","doi-asserted-by":"crossref","unstructured":"Chen, L., Zhong, X., Zhang, F., Cheng, Y., Xu, Y., Qi, Y., Li, H.: Fuxi: A cascade machine learning forecasting system for 15-day global weather forecast. npj Clim. Atmos. Sci. 6(1), 190 (2023)","DOI":"10.1038\/s41612-023-00512-1"},{"issue":"1","key":"2_CR3","doi-asserted-by":"publisher","first-page":"3845","DOI":"10.1038\/s41467-025-59173-8","volume":"16","author":"Y Chen","year":"2025","unstructured":"Chen, Y., et al.: Combined dynamical-deep learning enso forecasts. Nat. Commun. 16(1), 3845 (2025)","journal-title":"Nat. Commun."},{"issue":"1","key":"2_CR4","doi-asserted-by":"publisher","first-page":"2268","DOI":"10.1038\/s41467-025-57389-2","volume":"16","author":"Y Cui","year":"2025","unstructured":"Cui, Y., et al.: Forecasting the eddying ocean with a deep neural network. Nat. Commun. 16(1), 2268 (2025)","journal-title":"Nat. Commun."},{"issue":"1","key":"2_CR5","doi-asserted-by":"publisher","first-page":"887","DOI":"10.1038\/s41598-022-05002-7","volume":"12","author":"DG Evans","year":"2022","unstructured":"Evans, D.G., Frajka-Williams, E., Naveira Garabato, A.C.: Dissipation of mesoscale eddies at a western boundary via a direct energy cascade. Sci. Rep. 12(1), 887 (2022)","journal-title":"Sci. Rep."},{"key":"2_CR6","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proc IEEE Comput. Soc. Conf. Comput. Vision Pattern Recognit., pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"issue":"1","key":"2_CR7","doi-asserted-by":"publisher","first-page":"5101","DOI":"10.1038\/s41467-024-49411-w","volume":"15","author":"K Kontolati","year":"2024","unstructured":"Kontolati, K., Goswami, S., Em Karniadakis, G., Shields, M.D.: Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems. Nat. Commun. 15(1), 5101 (2024)","journal-title":"Nat. Commun."},{"key":"2_CR8","doi-asserted-by":"crossref","unstructured":"Kurth, T., et al.: Fourcastnet: accelerating global high-resolution weather forecasting using adaptive fourier neural operators. In: Proc. Platf. Adv. Sci. Comput. Conf., PASC, pp. 1\u201311. ACM, Davos, Switzerland, June 2023","DOI":"10.1145\/3592979.3593412"},{"issue":"6677","key":"2_CR9","doi-asserted-by":"publisher","first-page":"1416","DOI":"10.1126\/science.adi2336","volume":"382","author":"R Lam","year":"2023","unstructured":"Lam, R., et al.: Learning skillful medium-range global weather forecasting. Science 382(6677), 1416\u20131421 (2023)","journal-title":"Science"},{"issue":"1","key":"2_CR10","doi-asserted-by":"publisher","first-page":"6387","DOI":"10.1038\/s41467-023-42113-9","volume":"14","author":"Y Liu","year":"2023","unstructured":"Liu, Y., Donat, M.G., England, M.H., Alexander, L.V., Hirsch, A.L., Delgado-Torres, C.: Enhanced multi-year predictability after el ni\u00f1o and la ni\u00f1a events. Nat. Commun. 14(1), 6387 (2023)","journal-title":"Nat. Commun."},{"key":"2_CR11","doi-asserted-by":"crossref","unstructured":"Liu, Z., et al.: Swin transformer: hierarchical vision transformer using shifted windows. In: Proc IEEE Int Conf Comput Vision, pp. 9992\u201310002. IEEE, Montreal, QC, Canada, October 2021","DOI":"10.1109\/ICCV48922.2021.00986"},{"issue":"5","key":"2_CR12","doi-asserted-by":"publisher","first-page":"340","DOI":"10.1038\/s43017-021-00155-x","volume":"2","author":"GA Meehl","year":"2021","unstructured":"Meehl, G.A., et al.: Initialized earth system prediction from subseasonal to decadal timescales. Nat. Rev. Earth Environ. 2(5), 340\u2013357 (2021)","journal-title":"Nat. Rev. Earth Environ."},{"key":"2_CR13","doi-asserted-by":"publisher","DOI":"10.3389\/frai.2022.923932","volume":"5","author":"A Muhamed Ali","year":"2022","unstructured":"Muhamed Ali, A., Zhuang, H., Ibrahim, A.K., Wang, J.L., Ch\u00e9rubin, L.M.: Deep learning prediction of two-dimensional ocean dynamics with wavelet-compressed data. Front. Artif. Intell. 5, 923932 (2022)","journal-title":"Front. Artif. Intell."},{"key":"2_CR14","unstructured":"Nguyen, T., Brandstetter, J., Kapoor, A., Gupta, J.K., Grover, A.: Climax: a foundation model for weather and climate. In: Proc. Mach. Learn. Res., pp. 25904\u201325938 (2023)"},{"issue":"2188","key":"2_CR15","doi-asserted-by":"publisher","first-page":"20150772","DOI":"10.1098\/rspa.2015.0772","volume":"472","author":"T Palmer","year":"2016","unstructured":"Palmer, T.: A personal perspective on modelling the climate system. Proc. R. Soc. A 472(2188), 20150772 (2016)","journal-title":"Proc. R. Soc. A"},{"issue":"1","key":"2_CR16","doi-asserted-by":"publisher","first-page":"2660","DOI":"10.1038\/s41467-022-30280-0","volume":"13","author":"MR Payne","year":"2022","unstructured":"Payne, M.R., et al.: Skilful decadal-scale prediction of fish habitat and distribution shifts. Nat. Commun. 13(1), 2660 (2022)","journal-title":"Nat. Commun."},{"issue":"45","key":"2_CR17","doi-asserted-by":"publisher","first-page":"22512","DOI":"10.1073\/pnas.1911130116","volume":"116","author":"B Wang","year":"2019","unstructured":"Wang, B., et al.: Historical change of el ni\u00f1o properties sheds light on future changes of extreme el ni\u00f1o. Proc. Natl. Acad. Sci. U. S. A. 116(45), 22512\u201322517 (2019)","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"key":"2_CR18","unstructured":"Wang, X., et al.: Xihe: a data-driven model for global ocean eddy-resolving forecasting. arXiv preprint:2402.02995 (2024)"},{"key":"2_CR19","unstructured":"Xiong, W., et al.: Ai-goms: large ai-driven global ocean modeling system. arXiv preprint: 2308.03152 (2023)"}],"container-title":["Lecture Notes in Computer Science","Advanced Data Mining and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-95-3459-3_2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,18]],"date-time":"2025-10-18T02:22:35Z","timestamp":1760754155000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-95-3459-3_2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,19]]},"ISBN":["9789819534586","9789819534593"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-981-95-3459-3_2","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,10,19]]},"assertion":[{"value":"19 October 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ADMA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Advanced Data Mining and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Kyoto","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Japan","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 October 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 October 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"adma2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/adma2025.github.io\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}