{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,10]],"date-time":"2026-09-10T12:07:24Z","timestamp":1789042044071,"version":"build-2803163510"},"reference-count":33,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Ministry of Research and Technology\/Agency National Research and Innovation (KEMENRISTEK\/BRIN) of the Republic of Indonesia","award":["NKB 366\/UN2 RST\/HKP.05.00\/2021"],"award-info":[{"award-number":["NKB 366\/UN2 RST\/HKP.05.00\/2021"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/access.2026.3730270","type":"journal-article","created":{"date-parts":[[2026,9,2]],"date-time":"2026-09-02T19:05:18Z","timestamp":1788375918000},"page":"136071-136088","source":"Crossref","is-referenced-by-count":0,"title":["GenLUPIN: Physics-Informed Score-Based Diffusion in a Lagrangian Framework for Spectrally Consistent Precipitation Nowcasting"],"prefix":"10.1109","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-5129-2491","authenticated-orcid":false,"given":"Muhammad Farras","family":"Archi Maggaukang","sequence":"first","affiliation":[{"name":"Universitas Indonesia","place":["Depok, Indonesia"],"department":["Department of Electrical Engineering"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4648-6347","authenticated-orcid":false,"given":"Ajib Setyo","family":"Arifin","sequence":"additional","affiliation":[{"name":"Universitas Indonesia","place":["Depok, Indonesia"],"department":["Department of Electrical Engineering"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6320-003X","authenticated-orcid":false,"given":"Dadang","family":"Gunawan","sequence":"additional","affiliation":[{"name":"Universitas Indonesia","place":["Depok, Indonesia"],"department":["Department of Electrical Engineering"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.5194\/gmd-13-2631-2020"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-023-06184-4"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1175\/jtech-d-21-0013.1"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-021-03854-z"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3165153"},{"key":"ref6","article-title":"Latent diffusion models for generative precipitation nowcasting with accurate uncertainty quantification","author":"Leinonen","year":"2023","journal-title":"arXiv:2304.12891"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.02622"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1175\/2009WAF2222247.1"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2023.3238016"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.acags.2025.100296"},{"key":"ref11","first-page":"802","article-title":"Convolutional LSTM network: A machine learning approach for precipitation nowcasting","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"28","author":"Shi"},{"key":"ref12","first-page":"5617","article-title":"Deep learning for precipitation nowcasting: A benchmark and a new model","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NeurIPS)","author":"Shi"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1175\/WAF-D-16-0164.1"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.5194\/gmd-12-4185-2019"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1175\/1520-0450(2003)042<0381:ADASSA>2.0.CO;2"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.5194\/gmd-17-3839-2024"},{"key":"ref17","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NeurIPS)","volume":"33","author":"Ho"},{"key":"ref18","first-page":"1","article-title":"Score-based generative modeling through stochastic differential equations","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Song"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.2517520122"},{"key":"ref20","article-title":"Nowcast3D: Reliable precipitation nowcasting via gray-box learning","author":"Chen","year":"2025","journal-title":"arXiv:2511.04659"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.52202\/068431-1926"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.5334\/jors.119"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1175\/1520-0469(1948)005<0165:TDORWS>2.0.CO;2"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1256\/qj.04.100"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.21236\/ADA459827"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1175\/1520-0434(2000)015<0559:DOTCRP>2.0.CO;2"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1175\/2007MWR2123.1"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1175\/2008MWR2415.1"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2010.2103946"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00068"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.5194\/hess-20-505-2016"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1175\/1520-0493(2001)129<0550:IORHFV>2.0.CO;2"},{"key":"ref33","article-title":"Guidelines for nowcasting techniques","author":"Wang","year":"2017"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/11323511\/11675970.pdf?arnumber=11675970","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,9,10]],"date-time":"2026-09-10T11:12:15Z","timestamp":1789038735000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11675970\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":33,"URL":"https:\/\/doi.org\/10.1109\/access.2026.3730270","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}