{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,11]],"date-time":"2026-07-11T10:28:54Z","timestamp":1783765734166,"version":"3.55.0"},"reference-count":39,"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":[{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U1811464"],"award-info":[{"award-number":["U1811464"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003453","name":"Guangdong Natural Science Foundation","doi-asserted-by":"publisher","award":["2018B030312002"],"award-info":[{"award-number":["2018B030312002"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Program for Guangdong Introducing Innovative and Entrepreneurial Teams","award":["2016ZT06D211"],"award-info":[{"award-number":["2016ZT06D211"]}]},{"name":"CCF-Baidu Open Fund","award":["OF2021032"],"award-info":[{"award-number":["OF2021032"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/tgrs.2024.3360636","type":"journal-article","created":{"date-parts":[[2024,1,31]],"date-time":"2024-01-31T18:34:28Z","timestamp":1706726068000},"page":"1-10","source":"Crossref","is-referenced-by-count":6,"title":["AdaNAS: Adaptively Postprocessing With Self-Supervised Neural Architecture Search for Ensemble Rainfall Forecasts"],"prefix":"10.1109","volume":"62","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9372-1453","authenticated-orcid":false,"given":"Yingpeng","family":"Wen","sequence":"first","affiliation":[{"name":"School of Computer Science, Sun Yat-sen University, Guangzhou, Guangdong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7449-3093","authenticated-orcid":false,"given":"Weijiang","family":"Yu","sequence":"additional","affiliation":[{"name":"School of Computer Science, Sun Yat-sen University, Guangzhou, Guangdong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9664-012X","authenticated-orcid":false,"given":"Fudan","family":"Zheng","sequence":"additional","affiliation":[{"name":"School of Computer Science, Sun Yat-sen University, Guangzhou, Guangdong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5582-1031","authenticated-orcid":false,"given":"Dan","family":"Huang","sequence":"additional","affiliation":[{"name":"School of Computer Science, Sun Yat-sen University, Guangzhou, Guangdong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nong","family":"Xiao","sequence":"additional","affiliation":[{"name":"School of Computer Science, Sun Yat-sen University, Guangzhou, Guangdong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2021.3054582"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1142\/9789812799685_0024"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1002\/met.1300"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1175\/2010MWR3425.1"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1175\/1520-0493(2001)129<2461:AOAPMS>2.0.CO;2"},{"key":"ref6","first-page":"4173","article-title":"Multi-model ensemble forecasts of the TC tracks over the western Pacific using the TIGGE dataset","volume-title":"Proc. 3rd Int. Conf. Inf. Sci. Eng.","author":"Zhi"},{"issue":"12","key":"ref7","first-page":"1445","article-title":"Situation and tendency of operational technologies in short-and medium-range weather forecast","volume":"42","author":"Dai","year":"2016","journal-title":"Meteor Mon"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1175\/2011JHM1347.1"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-statistics-062713-085831"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1175\/BAMS-88-10-1541"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1175\/MWR3097.1"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1175\/JHM-D-21-0096.1"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhydrol.2021.127301"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.advwatres.2021.103907"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i17.17756"},{"key":"ref16","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-642-39925-1","volume-title":"Handbook of Hydrometeorological Ensemble Forecasting","volume":"10","author":"Duan","year":"2019"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1175\/bams-d-19-0308.1"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/c2016-0-03244-8"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.106622"},{"key":"ref20","article-title":"PC-DARTS: Partial channel connections for memory-efficient architecture search","author":"Xu","year":"2019","journal-title":"arXiv:1907.05737"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01201"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01228-1_22"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00207"},{"key":"ref24","article-title":"ProxylessNAS: Direct neural architecture search on target task and hardware","author":"Cai","year":"2018","journal-title":"arXiv:1812.00332"},{"key":"ref25","first-page":"6105","article-title":"EfficientNet: Rethinking model scaling for convolutional neural networks","volume-title":"Proc. 36th Int. Conf. Mach. Learn.","author":"Tan"},{"key":"ref26","article-title":"DARTS: Differentiable architecture search","author":"Liu","year":"2018","journal-title":"arXiv:1806.09055"},{"key":"ref27","article-title":"Evaluating the search phase of neural architecture search","author":"Yu","year":"2019","journal-title":"arXiv:1902.08142"},{"key":"ref28","article-title":"NAS evaluation is frustratingly hard","author":"Yang","year":"2019","journal-title":"arXiv:1912.12522"},{"key":"ref29","article-title":"NAS-Bench-1Shot1: Benchmarking and dissecting one-shot neural architecture search","author":"Zela","year":"2020","journal-title":"arXiv:2001.10422"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01385"},{"key":"ref31","article-title":"Distilling optimal neural networks: Rapid search in diverse spaces","author":"Moons","year":"2020","journal-title":"arXiv:2012.08859"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00206"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00975"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1038\/323533a0"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref36","first-page":"11863","article-title":"SimAM: A simple, parameter-free attention module for convolutional neural networks","volume-title":"Proc. 38th Int. Conf. Mach. Learn.","volume":"139","author":"Yang"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.5555\/3295222.3295349"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00783"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.2307\/1392185"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/10354519\/10417089.pdf?arnumber=10417089","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,3]],"date-time":"2024-03-03T09:34:59Z","timestamp":1709458499000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10417089\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":39,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2024.3360636","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}