{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T01:23:52Z","timestamp":1772846632714,"version":"3.50.1"},"reference-count":29,"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"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/tgrs.2024.3429525","type":"journal-article","created":{"date-parts":[[2024,7,18]],"date-time":"2024-07-18T17:32:14Z","timestamp":1721323934000},"page":"1-8","source":"Crossref","is-referenced-by-count":5,"title":["Nowcasting of Storms Using Predicted Integrated Water Vapor With a Machine Learning Technique and Satellite Brightness Temperature"],"prefix":"10.1109","volume":"62","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3027-0779","authenticated-orcid":false,"given":"Deepak S.","family":"Bisht","sequence":"first","affiliation":[{"name":"National Atmospheric Research Laboratory, Gadanki, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2980-2934","authenticated-orcid":false,"given":"T.","family":"Narayana Rao","sequence":"additional","affiliation":[{"name":"National Atmospheric Research Laboratory, Gadanki, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3930-6595","authenticated-orcid":false,"given":"N.","family":"Rama Rao","sequence":"additional","affiliation":[{"name":"Indian Institute of Space Science and Technology, Thiruvananthapuram, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0385-6640","authenticated-orcid":false,"given":"S. V.","family":"Chandrakanth","sequence":"additional","affiliation":[{"name":"National Atmospheric Research Laboratory, Gadanki, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.atmosres.2022.106548"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1038\/s41612-019-0098-0"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1029\/2012jd018174"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.5194\/nhess-15-2605-2015"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-017-12593-z"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2018.2839899"},{"key":"ref7","volume-title":"WMO Statement on the State of the Global Climate in 2017","year":"2017"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1029\/92JD01517"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3390\/atmos13071079"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1175\/2009jas2962.1"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1175\/1520-0442(2004)017<1517:RBWVPA>2.0.CO;2"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1002\/2016GL071980"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1002\/met.1735"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.2968124"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.3390\/rs14153746"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3390\/rs11232845"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.3390\/rs12244101"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.3390\/rs11080966"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1175\/JAMC-D-15-0161.1"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-28437-8"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2022.3217094"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.3390\/rs12162536"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.asr.2022.05.057"},{"key":"ref24","first-page":"820","article-title":"Improved extreme rainfall events forecasting using neural networks and water vapor measures","volume-title":"Proc. Int. Conf. Time Ser. Forecasting Papers","volume":"2","author":"Sangiorgio"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-56219-9_20"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1002\/qj.432"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1002\/2014JD021774"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1029\/95JB03048"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.5194\/nhess-7-327-2007"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/36\/10354519\/10601170.pdf?arnumber=10601170","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,10]],"date-time":"2024-08-10T05:27:08Z","timestamp":1723267628000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10601170\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2024.3429525","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}