{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T09:56:31Z","timestamp":1740131791664,"version":"3.37.3"},"reference-count":62,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Stabilization Support Program","award":["ZX20240460"],"award-info":[{"award-number":["ZX20240460"]}]},{"name":"Shenzhen Peacock Program","award":["ZX20230597"],"award-info":[{"award-number":["ZX20230597"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/tgrs.2024.3487643","type":"journal-article","created":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T17:31:37Z","timestamp":1730223097000},"page":"1-16","source":"Crossref","is-referenced-by-count":0,"title":["MCSDNet: Mesoscale Convective System Detection Network via Multiscale Spatiotemporal Information"],"prefix":"10.1109","volume":"62","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6178-6797","authenticated-orcid":false,"given":"Baoquan","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, Guangdong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-9308-7391","authenticated-orcid":false,"given":"Jiajun","family":"Liang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, Guangdong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rui","family":"Ye","sequence":"additional","affiliation":[{"name":"Intelligent Operation Center, Guizhou Power Grid Company Ltd., Guizhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chuyao","family":"Luo","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, Guangdong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1894-984X","authenticated-orcid":false,"given":"Xutao","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, Guangdong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1807-8581","authenticated-orcid":false,"given":"Yunming","family":"Ye","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, Guangdong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-1152-5909","authenticated-orcid":false,"given":"Xukai","family":"Fu","sequence":"additional","affiliation":[{"name":"Beijing Jinkai New Energy Environmental Technology Company Ltd., Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"doi-asserted-by":"publisher","key":"ref1","DOI":"10.1109\/TGRS.2012.2227762"},{"doi-asserted-by":"publisher","key":"ref2","DOI":"10.1097\/01.qco.0000244044.85393.9e"},{"doi-asserted-by":"publisher","key":"ref3","DOI":"10.1175\/MWR-D-10-05013.1"},{"doi-asserted-by":"publisher","key":"ref4","DOI":"10.3390\/atmos7090118"},{"doi-asserted-by":"publisher","key":"ref5","DOI":"10.1016\/j.atmosres.2019.06.023"},{"doi-asserted-by":"publisher","key":"ref6","DOI":"10.1029\/2020GL087232"},{"doi-asserted-by":"publisher","key":"ref7","DOI":"10.1029\/2020JD032848"},{"doi-asserted-by":"publisher","key":"ref8","DOI":"10.1109\/PRMVIA58252.2023.00033"},{"doi-asserted-by":"publisher","key":"ref9","DOI":"10.1109\/TGRS.2023.3298976"},{"doi-asserted-by":"publisher","key":"ref10","DOI":"10.1016\/j.rse.2011.10.028"},{"doi-asserted-by":"publisher","key":"ref11","DOI":"10.1007\/s00376-021-1223-7"},{"doi-asserted-by":"publisher","key":"ref12","DOI":"10.1002\/2016JD026183"},{"doi-asserted-by":"publisher","key":"ref13","DOI":"10.1049\/cp.2017.0139"},{"doi-asserted-by":"publisher","key":"ref14","DOI":"10.1109\/TGRS.2019.2907932"},{"doi-asserted-by":"publisher","key":"ref15","DOI":"10.1109\/TGRS.2023.3286826"},{"doi-asserted-by":"publisher","key":"ref16","DOI":"10.1109\/TGRS.2024.3387990"},{"doi-asserted-by":"publisher","key":"ref17","DOI":"10.1016\/j.knosys.2016.01.028"},{"doi-asserted-by":"publisher","key":"ref18","DOI":"10.1109\/IGARSS.2019.8898776"},{"doi-asserted-by":"publisher","key":"ref19","DOI":"10.1109\/TGRS.2019.2904868"},{"doi-asserted-by":"publisher","key":"ref20","DOI":"10.1109\/TGRS.2023.3330303"},{"doi-asserted-by":"publisher","key":"ref21","DOI":"10.1109\/TGRS.2024.3355755"},{"doi-asserted-by":"publisher","key":"ref22","DOI":"10.1109\/TGRS.2022.3144165"},{"doi-asserted-by":"publisher","key":"ref23","DOI":"10.1109\/TGRS.2024.3388199"},{"key":"ref24","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"},{"doi-asserted-by":"publisher","key":"ref25","DOI":"10.48550\/arXiv.2010.11929"},{"doi-asserted-by":"publisher","key":"ref26","DOI":"10.1109\/CVPR52729.2023.01800"},{"doi-asserted-by":"publisher","key":"ref27","DOI":"10.1175\/MWR2899.1"},{"doi-asserted-by":"publisher","key":"ref28","DOI":"10.1175\/jcli-d-18-0559.1"},{"doi-asserted-by":"publisher","key":"ref29","DOI":"10.1029\/2018JD029707"},{"doi-asserted-by":"publisher","key":"ref30","DOI":"10.1007\/s00382-018-4071-0"},{"doi-asserted-by":"publisher","key":"ref31","DOI":"10.1175\/1520-0493(1992)120<0392:SCODCS>2.0.CO;2"},{"doi-asserted-by":"publisher","key":"ref32","DOI":"10.1175\/1520-0493(1998)126<1630:lcvomc>2.0.co;2"},{"doi-asserted-by":"publisher","key":"ref33","DOI":"10.3390\/rs9070685"},{"doi-asserted-by":"publisher","key":"ref34","DOI":"10.1038\/nature14539"},{"doi-asserted-by":"publisher","key":"ref35","DOI":"10.1109\/TGRS.2024.3373033"},{"doi-asserted-by":"publisher","key":"ref36","DOI":"10.3390\/rs10111782"},{"doi-asserted-by":"publisher","key":"ref37","DOI":"10.1109\/IGARSS.2016.7729176"},{"doi-asserted-by":"publisher","key":"ref38","DOI":"10.1109\/TGRS.2024.3389089"},{"doi-asserted-by":"publisher","key":"ref39","DOI":"10.1007\/978-3-319-24574-4_28"},{"doi-asserted-by":"publisher","key":"ref40","DOI":"10.48550\/arXiv.1802.02611"},{"doi-asserted-by":"publisher","key":"ref41","DOI":"10.1109\/ICCV48922.2021.00986"},{"doi-asserted-by":"publisher","key":"ref42","DOI":"10.1038\/s41586-019-0912-1"},{"doi-asserted-by":"publisher","key":"ref43","DOI":"10.1016\/j.cviu.2018.04.007"},{"doi-asserted-by":"publisher","key":"ref44","DOI":"10.24963\/ijcai.2019\/317"},{"doi-asserted-by":"publisher","key":"ref45","DOI":"10.1007\/978-3-030-58604-1_26"},{"doi-asserted-by":"publisher","key":"ref46","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref47","first-page":"1","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":"ref48","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"},{"doi-asserted-by":"publisher","key":"ref49","DOI":"10.48550\/arXiv.2102.05095"},{"doi-asserted-by":"publisher","key":"ref50","DOI":"10.1109\/ICCV48922.2021.00676"},{"doi-asserted-by":"publisher","key":"ref51","DOI":"10.1109\/CVPR52688.2022.00320"},{"key":"ref52","article-title":"SimVP: Towards simple yet powerful spatiotemporal predictive learning","author":"Tan","year":"2022","journal-title":"arXiv:2211.12509"},{"doi-asserted-by":"publisher","key":"ref53","DOI":"10.48550\/ARXIV.1706.03762"},{"doi-asserted-by":"publisher","key":"ref54","DOI":"10.1109\/CVPR.2015.7298965"},{"doi-asserted-by":"publisher","key":"ref55","DOI":"10.1109\/ICCV.2017.324"},{"doi-asserted-by":"publisher","key":"ref56","DOI":"10.1109\/TGRS.2023.3288543"},{"key":"ref57","article-title":"Rethinking atrous convolution for semantic image segmentation","author":"Chen","year":"2017","journal-title":"arXiv:1706.05587"},{"doi-asserted-by":"publisher","key":"ref58","DOI":"10.1109\/ICIP42928.2021.9506731"},{"issue":"4","key":"ref59","doi-asserted-by":"crossref","first-page":"570","DOI":"10.1175\/1520-0434(1990)005<0570:TCSIAA>2.0.CO;2","article-title":"The critical success index as an indicator of warning skill","volume":"5","author":"Schaefer","year":"1990","journal-title":"Weather Forecasting"},{"doi-asserted-by":"publisher","key":"ref60","DOI":"10.1016\/j.rse.2019.03.039"},{"doi-asserted-by":"publisher","key":"ref61","DOI":"10.1016\/j.isprsjprs.2020.01.013"},{"doi-asserted-by":"publisher","key":"ref62","DOI":"10.1109\/CVPR52688.2022.00317"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/36\/10354519\/10737361.pdf?arnumber=10737361","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,7]],"date-time":"2024-12-07T05:40:49Z","timestamp":1733550049000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10737361\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":62,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2024.3487643","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"type":"print","value":"0196-2892"},{"type":"electronic","value":"1558-0644"}],"subject":[],"published":{"date-parts":[[2024]]}}}