{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T16:37:15Z","timestamp":1776443835759,"version":"3.51.2"},"reference-count":23,"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\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2018YFC1507801"],"award-info":[{"award-number":["2018YFC1507801"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2018YFF0300105"],"award-info":[{"award-number":["2018YFF0300105"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["6210023167"],"award-info":[{"award-number":["6210023167"]}],"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":["41871020"],"award-info":[{"award-number":["41871020"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Innovation Program of Public Meteorological Service Center","award":["M2021002"],"award-info":[{"award-number":["M2021002"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Geosci. Remote Sensing Lett."],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/lgrs.2021.3109259","type":"journal-article","created":{"date-parts":[[2021,9,6]],"date-time":"2021-09-06T20:23:09Z","timestamp":1630959789000},"page":"1-5","source":"Crossref","is-referenced-by-count":14,"title":["ATMConvGRU for Weather Forecasting"],"prefix":"10.1109","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7558-4448","authenticated-orcid":false,"given":"Tingzhao","family":"Yu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6595-3203","authenticated-orcid":false,"given":"Qiuming","family":"Kuang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ruyi","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2977911"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.2978439"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2021.3049673"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s00704-012-0661-7"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2017.01.002"},{"key":"ref6","first-page":"1","article-title":"An empirical evaluation of generic convolutional and recurrent networks for sequence modeling","volume":"abs\/1803.01271","author":"Bai","year":"2018","journal-title":"CoRR"},{"key":"ref7","first-page":"1","article-title":"Machine learning for precipitation nowcasting from radar images","volume":"abs\/1912.12132","author":"Agrawal","year":"2019","journal-title":"CoRR"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_44"},{"key":"ref9","first-page":"802","article-title":"Convolutional LSTM network: A machine learning approach for precipitation nowcasting","volume-title":"Proc. NIPS","author":"Shi"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2018.03.027"},{"key":"ref11","first-page":"5617","article-title":"Deep learning for precipitation nowcasting: A benchmark and A new model","volume-title":"Proc. NIPS","author":"Shi"},{"key":"ref12","first-page":"1","article-title":"Eidetic 3D LSTM: A model for video prediction and beyond","volume-title":"Proc. ICLR","author":"Wang"},{"key":"ref13","first-page":"879","article-title":"PredRNN: Recurrent neural networks for predictive learning using spatiotemporal LSTMs","volume-title":"Proc. NIPS","author":"Wang"},{"key":"ref14","first-page":"5110","article-title":"PredRNN++: Towards A resolution of the deep-in-time dilemma in spatiotemporal predictive learning","volume-title":"Proc. ICML","volume":"80","author":"Wang"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00937"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6819"},{"key":"ref17","first-page":"1","article-title":"MetNet: A neural weather model for precipitation forecasting","volume":"abs\/2003.12140","author":"S\u00f8nderby","year":"2020","journal-title":"CoRR"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2019.02.036"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01149"},{"key":"ref20","first-page":"1","article-title":"CrevNet: Conditionally reversible video prediction","volume":"abs\/1910.11577","author":"Yu","year":"2019","journal-title":"CoRR"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00191"},{"key":"ref22","first-page":"1","article-title":"Deep predictive coding networks for video prediction and unsupervised learning","volume-title":"Proc. ICLR","author":"Lotter"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00931"}],"container-title":["IEEE Geoscience and Remote Sensing Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8859\/9651998\/09530262.pdf?arnumber=9530262","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,11]],"date-time":"2024-01-11T22:50:36Z","timestamp":1705013436000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9530262\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/lgrs.2021.3109259","relation":{},"ISSN":["1545-598X","1558-0571"],"issn-type":[{"value":"1545-598X","type":"print"},{"value":"1558-0571","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}