{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,21]],"date-time":"2026-02-21T19:04:35Z","timestamp":1771700675332,"version":"3.50.1"},"reference-count":14,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2020,4,1]],"date-time":"2020-04-01T00:00:00Z","timestamp":1585699200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,4,1]],"date-time":"2020-04-01T00:00:00Z","timestamp":1585699200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,4,1]],"date-time":"2020-04-01T00:00:00Z","timestamp":1585699200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Basic Research Program of China","doi-asserted-by":"publisher","award":["2018YFB0504900"],"award-info":[{"award-number":["2018YFB0504900"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Basic Research Program of China","doi-asserted-by":"publisher","award":["2018YFB0504905"],"award-info":[{"award-number":["2018YFB0504905"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shenzhen Science and Technology Program","award":["JCYJ20170811160212033"],"award-info":[{"award-number":["JCYJ20170811160212033"]}]},{"name":"Shenzhen Science and Technology Program","award":["JCYJ20180507183823045"],"award-info":[{"award-number":["JCYJ20180507183823045"]}]},{"name":"Shenzhen Science and Technology Program","award":["JCYJ20170413105929681"],"award-info":[{"award-number":["JCYJ20170413105929681"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61602132"],"award-info":[{"award-number":["61602132"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Geosci. Remote Sensing Lett."],"published-print":{"date-parts":[[2020,4]]},"DOI":"10.1109\/lgrs.2019.2926776","type":"journal-article","created":{"date-parts":[[2019,7,26]],"date-time":"2019-07-26T19:47:21Z","timestamp":1564170441000},"page":"601-605","source":"Crossref","is-referenced-by-count":109,"title":["A Generative Adversarial Gated Recurrent Unit Model for Precipitation Nowcasting"],"prefix":"10.1109","volume":"17","author":[{"given":"Lin","family":"Tian","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1894-984X","authenticated-orcid":false,"given":"Xutao","family":"Li","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1807-8581","authenticated-orcid":false,"given":"Yunming","family":"Ye","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4773-7128","authenticated-orcid":false,"given":"Pengfei","family":"Xie","sequence":"additional","affiliation":[]},{"given":"Yan","family":"Li","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","first-page":"5617","article-title":"Deep learning for precipitation nowcasting: A benchmark and a new model","author":"shi","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10593-2_15"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.478"},{"key":"ref13","article-title":"Deep multi-scale video prediction beyond mean square error","author":"mathieu","year":"2015","journal-title":"arXiv 1511 05440"},{"key":"ref14","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2815613"},{"key":"ref3","first-page":"1","article-title":"Towards the blending of NWP with Nowcast&#x2014;Operation experience in B08FDP","author":"wong","year":"2009","journal-title":"Proceedings of WMO Symposium on Nowcasting"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.1994.8753425"},{"key":"ref8","first-page":"843","article-title":"Unsupervised learning of video representations using LSTMs","author":"srivastava","year":"2015","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/W14-4012"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s13143-010-1008-x"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhydrol.2003.11.011"},{"key":"ref9","first-page":"802","article-title":"Convolutional LSTM network: A machine learning approach for precipitation nowcasting","author":"shi","year":"2015","journal-title":"Proc Adv Neural Inf Process Syst"}],"container-title":["IEEE Geoscience and Remote Sensing Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8859\/9046933\/08777193.pdf?arnumber=8777193","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T16:45:19Z","timestamp":1651077919000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8777193\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,4]]},"references-count":14,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/lgrs.2019.2926776","relation":{},"ISSN":["1545-598X","1558-0571"],"issn-type":[{"value":"1545-598X","type":"print"},{"value":"1558-0571","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,4]]}}}