{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,19]],"date-time":"2026-06-19T13:51:52Z","timestamp":1781877112937,"version":"3.54.5"},"publisher-location":"Singapore","reference-count":18,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819538263","type":"print"},{"value":"9789819538270","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"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\/978-981-95-3827-0_20","type":"book-chapter","created":{"date-parts":[[2026,6,19]],"date-time":"2026-06-19T13:04:18Z","timestamp":1781874258000},"page":"296-305","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Data-Driven Regional Weather Forecasting Guided by\u00a0Global Context"],"prefix":"10.1007","author":[{"given":"NingZi","family":"Hu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guang","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yi","family":"Han","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ying","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"XueRong","family":"Cui","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"JunXing","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiang","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,6,20]]},"reference":[{"key":"20_CR1","doi-asserted-by":"crossref","unstructured":"Bi, K., Xie, L.e.: Accurate medium-range global weather forecasting with 3D neural networks. Nature 619(7970), 533\u2013538 (2023)","DOI":"10.1038\/s41586-023-06185-3"},{"key":"20_CR2","unstructured":"Dosovitskiy, A.: An image is worth 16x16 words: transformers for image recognition at scale. arXiv preprint arXiv:2010.11929 (2020)"},{"issue":"1","key":"20_CR3","doi-asserted-by":"publisher","first-page":"7898","DOI":"10.1038\/s41598-022-11936-9","volume":"12","author":"J Frnda","year":"2022","unstructured":"Frnda, J., Durica, M., Rozhon, J., Vojtekova, M., Nedoma, J., Martinek, R.: Ecmwf short-term prediction accuracy improvement by deep learning. Sci. Rep. 12(1), 7898 (2022)","journal-title":"Sci. Rep."},{"key":"20_CR4","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition (2015). https:\/\/arxiv.org\/abs\/1512.03385"},{"key":"20_CR5","doi-asserted-by":"crossref","unstructured":"Kurth, T., et.al, S.: Fourcastnet: Accelerating global high-resolution weather forecasting using adaptive fourier neural operators. In: Proceedings of the Platform for Advanced Scientific Computing Conference, pp. 1\u201311 (2023)","DOI":"10.1145\/3592979.3593412"},{"issue":"6677","key":"20_CR6","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"},{"key":"20_CR7","doi-asserted-by":"crossref","unstructured":"Liu, Z., Lin, Y.: Swin transformer: hierarchical vision transformer using shifted windows. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 10012\u201310022 (2021)","DOI":"10.1109\/ICCV48922.2021.00986"},{"issue":"3","key":"20_CR8","doi-asserted-by":"publisher","first-page":"461","DOI":"10.1175\/1520-0493(2003)131<0461:LBCIRC>2.0.CO;2","volume":"131","author":"P Marbaix","year":"2003","unstructured":"Marbaix, P., Gall\u00e9e, H., Brasseur, O., van Ypersele, J.P.: Lateral boundary conditions in regional climate models: a detailed study of the relaxation procedure. Mon. Weather Rev. 131(3), 461\u2013479 (2003)","journal-title":"Mon. Weather Rev."},{"key":"20_CR9","unstructured":"Nguyen, T., Brandstetter, J., Kapoor, A., Gupta, J.K., Grover, A.: Climax: a foundation model for weather and climate. arXiv preprint arXiv:2301.10343 (2023)"},{"key":"20_CR10","unstructured":"Oskarsson, J., Landelius, T., Lindsten, F.: Graph-based neural weather prediction for limited area modeling. arXiv preprint arXiv:2309.17370 (2023)"},{"key":"20_CR11","doi-asserted-by":"crossref","unstructured":"Pu, Z., Kalnay, E.: Numerical weather prediction basics: Models, numerical methods, and data assimilation. Handbook of hydrometeorological ensemble forecasting, pp. 67\u201397 (2019)","DOI":"10.1007\/978-3-642-39925-1_11"},{"key":"20_CR12","unstructured":"Qin, H., Chen, Y., Jiang, Q., Sun, P., Ye, X., Lin, C.: Metmamba: Regional weather forecasting with spatial-temporal mamba model. arXiv preprint arXiv:2408.06400 (2024)"},{"key":"20_CR13","doi-asserted-by":"crossref","unstructured":"Rasp, S., Dueben, P.D., Scher, S., Weyn, J.A., Mouatadid, S., Thuerey, N.: Weatherbench: a benchmark data set for data-driven weather forecasting. J. Adv. Model. Earth Syst. 12(11), e2020MS002203 (2020)","DOI":"10.1029\/2020MS002203"},{"key":"20_CR14","doi-asserted-by":"crossref","unstructured":"Ronneberger, O., Fischer, P., Brox, T.: U-net: Convolutional networks for biomedical image segmentation (2015). https:\/\/arxiv.org\/abs\/1505.04597","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"20_CR15","unstructured":"Xu, P., et.al, G.: Yinglong: Skillful high resolution regional short term forecasting with boundary smoothing. arXiv preprint arXiv:2401.16254 (2024)"},{"issue":"8","key":"20_CR16","doi-asserted-by":"publisher","first-page":"304","DOI":"10.3390\/atmos9080304","volume":"9","author":"G Y\u00e1\u00f1ez-Morroni","year":"2018","unstructured":"Y\u00e1\u00f1ez-Morroni, G., Giron\u00e1s, J., Caneo, M., Delgado, R., Garreaud, R.: Using the weather research and forecasting (wrf) model for precipitation forecasting in an Andean region with complex topography. Atmosphere 9(8), 304 (2018)","journal-title":"Atmosphere"},{"key":"20_CR17","doi-asserted-by":"crossref","unstructured":"Yuan, X., et.al, K.: The interconnected global climate system-a review of tropical\u2013polar teleconnections. J. Climate 31(15), 5765\u20135792 (2018)","DOI":"10.1175\/JCLI-D-16-0637.1"},{"issue":"1","key":"20_CR18","doi-asserted-by":"publisher","first-page":"6706","DOI":"10.1038\/s41467-024-51241-9","volume":"15","author":"J Zhao","year":"2024","unstructured":"Zhao, J., Zhan, R., Wang, Y., Xie, S.P., Zhang, L., Xu, M.: Lapsed el ni\u00f1o impact on Atlantic and northwest pacific tropical cyclone activity in 2023. Nat. Commun. 15(1), 6706 (2024)","journal-title":"Nat. Commun."}],"container-title":["Lecture Notes in Computer Science","Database Systems for Advanced Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-95-3827-0_20","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,19]],"date-time":"2026-06-19T13:04:23Z","timestamp":1781874263000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-95-3827-0_20"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9789819538263","9789819538270"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-981-95-3827-0_20","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"20 June 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DASFAA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Database Systems for Advanced Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Singapore","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Singapore","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":"26 May 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 May 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"dasfaa2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/dasfaa2025.github.io","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}