{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T15:59:15Z","timestamp":1780675155396,"version":"3.54.1"},"reference-count":54,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100011447","name":"Science and Technology Department of Sichuan Province","doi-asserted-by":"publisher","award":["2024ZYD0089"],"award-info":[{"award-number":["2024ZYD0089"]}],"id":[{"id":"10.13039\/501100011447","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003473","name":"Yibin University Science and Technology","doi-asserted-by":"publisher","award":["2024XJYY03"],"award-info":[{"award-number":["2024XJYY03"]}],"id":[{"id":"10.13039\/501100003473","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003473","name":"Yibin University Science and Technology","doi-asserted-by":"publisher","award":["2023YY02"],"award-info":[{"award-number":["2023YY02"]}],"id":[{"id":"10.13039\/501100003473","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003473","name":"Yibin University Science and Technology","doi-asserted-by":"publisher","award":["2023YY05"],"award-info":[{"award-number":["2023YY05"]}],"id":[{"id":"10.13039\/501100003473","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003473","name":"Yibin University Science and Technology","doi-asserted-by":"publisher","award":["2025XJZD01"],"award-info":[{"award-number":["2025XJZD01"]}],"id":[{"id":"10.13039\/501100003473","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/tgrs.2025.3621627","type":"journal-article","created":{"date-parts":[[2025,11,3]],"date-time":"2025-11-03T18:44:48Z","timestamp":1762195488000},"page":"1-18","source":"Crossref","is-referenced-by-count":1,"title":["SSRF-Net: A Stagewise Scheduled Rainfall Forecasting Network With an Asymmetric Architecture"],"prefix":"10.1109","volume":"63","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-2620-5770","authenticated-orcid":false,"given":"Wenjie","family":"Luo","sequence":"first","affiliation":[{"name":"College of Computer Science and Engineering, Chongqing University of Technology, Chongqing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8336-2661","authenticated-orcid":false,"given":"Chaorong","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology (School of Artificial Intelligence), Yibin University, Yibin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-1128-8322","authenticated-orcid":false,"given":"Xudong","family":"Ling","sequence":"additional","affiliation":[{"name":"College of Computer Science and Engineering, Chongqing University of Technology, Chongqing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chuanhu","family":"Deng","sequence":"additional","affiliation":[{"name":"College of Computer Science and Engineering, Chongqing University of Technology, Chongqing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhuo","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Computer Science and Engineering, Chongqing University of Technology, Chongqing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-021-03854-z"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-023-06184-4"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.5194\/gmd-12-4185-2019"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3056470"},{"issue":"1","key":"ref5","first-page":"2391","article-title":"Climate change 2021: The physical science basis","volume-title":"Proc. Contribution Work. Group I 6th Assessment Rep. Intergovernmental Panel Climate Change","volume":"2","author":"Masson-Delmotte"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.envsoft.2024.106001"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s11390-021-1103-8"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1175\/BAMS-D-11-00263.1"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1256\/qj.04.100"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.3390\/atmos8030048"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1175\/1520-0477(1998)079<2079:NTASR>2.0.CO;2"},{"key":"ref12","first-page":"802","article-title":"Convolutional LSTM network: A machine learning approach for precipitation nowcasting","volume-title":"Proc. Adv. Neural Inf. Process. Syst., Annu. Conf. Neural Inf. Process. Syst.","volume":"28","author":"Shi"},{"key":"ref13","first-page":"879","article-title":"PredRNN: Recurrent neural networks for predictive learning using spatiotemporal LSTMs","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Wang"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.5194\/gmd-13-2631-2020"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2021.01.036"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2025.3528423"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2020.3040648"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2021.08.036"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s12040-024-02508-8"},{"key":"ref21","article-title":"SSA-UNet: Advanced precipitation nowcasting via channel shuffling","author":"Turzi","year":"2025","journal-title":"arXiv:2504.18309"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2022.3162882"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.14711\/thesis-991013340437803412"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.3390\/rs17091550"},{"key":"ref25","first-page":"1","article-title":"Nowformer: A locally enhanced temporal learner for precipitation nowcasting","volume-title":"Proc. NeurIPS","author":"Park"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2024.3510693"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.3390\/rs16142685"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1175\/aies-d-23-0017.1"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.atmosres.2022.106500"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3100847"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1029\/2019EA000812"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN54540.2023.10191095"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2644615"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1029\/2024GL113699"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-023-06185-3"},{"key":"ref36","article-title":"FourCastNet: A global data-driven high-resolution weather model using adaptive Fourier neural operators","author":"Pathak","year":"2022","journal-title":"arXiv:2202.11214"},{"key":"ref37","article-title":"MetNet: A neural weather model for precipitation forecasting","author":"S\u00f8nderby","year":"2020","journal-title":"arXiv:2003.12140"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-022-32483-x"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1126\/science.adi2336"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-025-98944-7"},{"key":"ref41","first-page":"5622","article-title":"Deep learning for precipitation nowcasting: A benchmark and a new model","volume-title":"Proc. 31st Int. Conf. Neural Inf. Process. Syst.","author":"Shi"},{"key":"ref42","first-page":"1171","article-title":"Scheduled sampling for sequence prediction with recurrent neural networks","volume-title":"Proc. 29th Int. Conf. Neural Inf. Process. Syst.","volume":"1","author":"Bengio"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1029\/2020MS002203"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00949"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-67558-9_28"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-67389-9_44"},{"key":"ref48","first-page":"100007","article-title":"Fourier amplitude and correlation loss: Beyond using L2 loss for skillful precipitation nowcasting","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"37","author":"Yan"},{"key":"ref49","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014","journal-title":"arXiv:1412.6980"},{"key":"ref50","first-page":"5123","article-title":"PredRNN++: Towards a resolution of the deep-in-time dilemma in spatiotemporal predictive learning","volume-title":"Proc. PMLR Int. Conf. Mach. Learn.","author":"Wang"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00937"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN55064.2022.9892376"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i14.29521"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2025.3549678"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/36\/10807682\/11224360.pdf?arnumber=11224360","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,4]],"date-time":"2025-11-04T06:05:27Z","timestamp":1762236327000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11224360\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":54,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2025.3621627","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}