{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T14:58:20Z","timestamp":1776956300212,"version":"3.51.4"},"reference-count":45,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["42075139"],"award-info":[{"award-number":["42075139"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["42105001"],"award-info":[{"award-number":["42105001"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2017M621700"],"award-info":[{"award-number":["2017M621700"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004735","name":"Hunan Province Natural Science Foundation","doi-asserted-by":"publisher","award":["2021JJ30773"],"award-info":[{"award-number":["2021JJ30773"]}],"id":[{"id":"10.13039\/501100004735","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Fengyun Application Pioneering Project"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/tgrs.2022.3198851","type":"journal-article","created":{"date-parts":[[2022,8,15]],"date-time":"2022-08-15T19:46:02Z","timestamp":1660592762000},"page":"1-13","source":"Crossref","is-referenced-by-count":21,"title":["REMNet: Recurrent Evolution Memory-Aware Network for Accurate Long-Term Weather Radar Echo Extrapolation"],"prefix":"10.1109","volume":"60","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9015-5465","authenticated-orcid":false,"given":"Jinrui","family":"Jing","sequence":"first","affiliation":[{"name":"College of Meteorology and Oceanography, National University of Defense Technology, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9530-4925","authenticated-orcid":false,"given":"Qian","family":"Li","sequence":"additional","affiliation":[{"name":"College of Meteorology and Oceanography, National University of Defense Technology, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0103-5830","authenticated-orcid":false,"given":"Leiming","family":"Ma","sequence":"additional","affiliation":[{"name":"Shanghai Central Meteorological Observatory (SCMO), Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lei","family":"Chen","sequence":"additional","affiliation":[{"name":"Shanghai Central Meteorological Observatory (SCMO), Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0653-8373","authenticated-orcid":false,"given":"Lei","family":"Ding","sequence":"additional","affiliation":[{"name":"Department of Big Data Analysis, PLA Strategic Force Information Engineering University, Zhengzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1175\/1520-0426(1993)010<0785:ttitaa>2.0.co;2"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1175\/1520-0434(1998)013<0263:TSCIAT>2.0.CO;2"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.atmosres.2018.05.030"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1175\/1520-0450(1995)034<1286:NOMAGO>2.0.CO;2"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/S0022-1694(00)00352-8"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s00376-009-9093-4"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.3390\/atmos8030048"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.5194\/gmd-12-1387-2019"},{"key":"ref9","first-page":"1","article-title":"Deep learning for precipitation nowcasting: A benchmark and a new model","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Shi"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00937"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01518"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1175\/JTECH-D-16-0092.1"},{"key":"ref13","first-page":"1","article-title":"Convolutional LSTM network: A machine learning approach for precipitation nowcasting","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"28","author":"Shi"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-73603-7_2"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.5194\/gmd-13-2631-2020"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3390\/s19183988"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1029\/2021GL095302"},{"key":"ref18","first-page":"22009","article-title":"SEVIR: A storm event imagery dataset for deep learning applications in radar and satellite meteorology","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Veillette"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1029\/2020EA001621"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.5194\/isprs-archives-XLII-3-W9-89-2019"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3390\/rs14010024"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2019.2926776"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-021-03854-z"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9054232"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1029\/2019EA000812"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1175\/1520-0493(1998)126<0551:TTBONS>2.0.CO;2"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1175\/amsmonographs-d-18-0001.1"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.3390\/rs12142307"},{"key":"ref29","article-title":"Memory networks","author":"Weston","year":"2014","journal-title":"arXiv:1410.3916"},{"key":"ref30","first-page":"1","article-title":"End-to-end memory networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"28","author":"Sukhbaatar"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00729"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1088"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00854"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00932"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00307"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01182"},{"key":"ref37","first-page":"1","article-title":"Generative adversarial nets","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"27","author":"Goodfellow"},{"key":"ref38","article-title":"Large scale GAN training for high fidelity natural image synthesis","author":"Brock","year":"2018","journal-title":"arXiv:1809.11096"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.632"},{"key":"ref40","article-title":"Exact solutions to the nonlinear dynamics of learning in deep linear neural networks","author":"Saxe","year":"2013","journal-title":"arXiv:1312.6120"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1029\/2005GL023451"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1175\/MWR-D-20-0050.1"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3120218"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-45103-X_50"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/9633014\/09856702.pdf?arnumber=9856702","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,2]],"date-time":"2024-03-02T05:07:09Z","timestamp":1709356029000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9856702\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":45,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2022.3198851","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}