{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:10:47Z","timestamp":1740100247696,"version":"3.37.3"},"reference-count":10,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,7,11]],"date-time":"2021-07-11T00:00:00Z","timestamp":1625961600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,7,11]],"date-time":"2021-07-11T00:00:00Z","timestamp":1625961600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,11]],"date-time":"2021-07-11T00:00:00Z","timestamp":1625961600000},"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","doi-asserted-by":"publisher","award":["2018YFC1406205,2018YFC1406201"],"award-info":[{"award-number":["2018YFC1406205,2018YFC1406201"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,7,11]]},"DOI":"10.1109\/igarss47720.2021.9554662","type":"proceedings-article","created":{"date-parts":[[2021,10,13]],"date-time":"2021-10-13T21:49:09Z","timestamp":1634161749000},"page":"8468-8471","source":"Crossref","is-referenced-by-count":6,"title":["Cyclone Identify using Two-Branch Convolutional Neural Network from Global Forecasting System Analysis"],"prefix":"10.1109","author":[{"given":"Fan","family":"Meng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qingyu","family":"Tian","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Handan","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Danya","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tao","family":"Song","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref4","first-page":"426","article-title":"Teca: Petascale pattern recognition for climate science","author":"byna","year":"0","journal-title":"International Conference on Computer Analysis of Images and Patterns"},{"doi-asserted-by":"publisher","key":"ref3","DOI":"10.1126\/science.1115255"},{"key":"ref10","doi-asserted-by":"crossref","first-page":"363","DOI":"10.1175\/2009BAMS2755.1","article-title":"The international best track archive for climate stewardship (ib-tracs) unifying tropical cyclone data","volume":"91","author":"kenneth","year":"2010","journal-title":"Bulletin of the American Meteorological Society"},{"doi-asserted-by":"publisher","key":"ref6","DOI":"10.3390\/rs13091860"},{"doi-asserted-by":"publisher","key":"ref5","DOI":"10.3390\/rs12244068"},{"year":"2020","author":"hall","journal-title":"Github repository Noaa ai 2020 tutorial","key":"ref8"},{"doi-asserted-by":"publisher","key":"ref7","DOI":"10.1109\/TIP.2017.2766358"},{"doi-asserted-by":"publisher","key":"ref2","DOI":"10.1038\/nclimate1357"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1016\/j.pce.2016.01.001","article-title":"On the relationship between atmospheric water vapour transport and extra-tropical cyclones development","volume":"94","author":"juan","year":"2016","journal-title":"Physics and Chemistry of the Earth Parts A\/B\/C"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"2224","DOI":"10.1175\/MWR3160.1","article-title":"Serial clustering of extratropical cyclones","volume":"134","author":"pascal","year":"2006","journal-title":"Monthly Weather Review"}],"event":{"name":"IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium","start":{"date-parts":[[2021,7,11]]},"location":"Brussels, Belgium","end":{"date-parts":[[2021,7,16]]}},"container-title":["2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9553015\/9553016\/09554662.pdf?arnumber=9554662","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:47:09Z","timestamp":1652197629000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9554662\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,11]]},"references-count":10,"URL":"https:\/\/doi.org\/10.1109\/igarss47720.2021.9554662","relation":{},"subject":[],"published":{"date-parts":[[2021,7,11]]}}}