Home > Publications database > Towards developing an operational Indian ocean dipole warning system for Southeast Asia > print

001     1048119
005     20251202203135.0
024 7 _ |a 10.1038/s41598-025-99261-9
|2 doi
024 7 _ |a 10.34734/FZJ-2025-04510
|2 datacite_doi
037 _ _ |a FZJ-2025-04510
082 _ _ |a 600
100 1 _ |a Jain, Shipra
|0 P:(DE-HGF)0
|b 0
|e Corresponding author
245 _ _ |a Towards developing an operational Indian ocean dipole warning system for Southeast Asia
260 _ _ |a [London]
|c 2025
|b Springer Nature
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1764677701_15938
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a Two strong positive Indian Ocean Dipole (IOD) events in 2019 and 2023 led to multiple disastersover Southeast Asia, highlighting the need for warnings of IOD events. This paper presents a stocktakeof the current criteria for IOD monitoring and prediction and describes the development of anIOD warning system for Southeast Asia. We examined how subjective choices such as observationaldatasets, baseline periods, and time averaging affect IOD event identification. Our findings indicatethat the choice of sea-surface temperature dataset and time averaging (monthly vs. 3-monthly mean)lead to marked differences in the Dipole Mode Index (DMI), the index used for the monitoring andprediction of IOD events, and hence between various centers on IOD state. The southern MaritimeContinent can experience the impact of the IOD on rainfall even when the IOD has not met the currentoperational criterion, suggesting a need for an impact-based threshold for the IOD. We assess the skillof models in capturing the strength and phase of the IOD and report errors in IOD predictions. Whilemost models are skillful in capturing the active phase of the IOD, many models have an overactiveIOD strength. Calibration of DMI-based monitoring products is therefore recommended for the mostskilful IOD predictions. Finally, we describe an objective standard operating procedure to assist climateforecasters in issuing timely alerts of IOD events.
536 _ _ |a 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511)
|0 G:(DE-HGF)POF4-5111
|c POF4-511
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef, Journals: juser.fz-juelich.de
700 1 _ |a Turkington, Thea
|0 P:(DE-HGF)0
|b 1
700 1 _ |a Tan, Wee Leng
|0 P:(DE-HGF)0
|b 2
700 1 _ |a Schwartz, Chen
|0 P:(DE-HGF)0
|b 3
700 1 _ |a Scaife, Adam A.
|0 P:(DE-HGF)0
|b 4
700 1 _ |a Shepherd, Theodore G.
|0 P:(DE-Juel1)192332
|b 5
|u fzj
773 _ _ |a 10.1038/s41598-025-99261-9
|g Vol. 15, no. 1, p. 14728
|0 PERI:(DE-600)2615211-3
|n 1
|p 14728
|t Scientific reports
|v 15
|y 2025
|x 2045-2322
856 4 _ |u https://juser.fz-juelich.de/record/1048119/files/Jain%202025.pdf
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:1048119
|p openaire
|p open_access
|p VDB
|p driver
|p dnbdelivery
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 5
|6 P:(DE-Juel1)192332
913 1 _ |a DE-HGF
|b Key Technologies
|l Engineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action
|1 G:(DE-HGF)POF4-510
|0 G:(DE-HGF)POF4-511
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-500
|4 G:(DE-HGF)POF
|v Enabling Computational- & Data-Intensive Science and Engineering
|9 G:(DE-HGF)POF4-5111
|x 0
914 1 _ |y 2025
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2024-12-18
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2024-12-18
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2024-12-18
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2024-12-18
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
|d 2024-12-18
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1040
|2 StatID
|b Zoological Record
|d 2024-12-18
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b SCI REP-UK : 2022
|d 2024-12-18
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0501
|2 StatID
|b DOAJ Seal
|d 2024-07-29T15:28:26Z
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0500
|2 StatID
|b DOAJ
|d 2024-07-29T15:28:26Z
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2024-12-18
915 _ _ |a Fees
|0 StatID:(DE-HGF)0700
|2 StatID
|d 2024-12-18
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2024-12-18
915 _ _ |a IF < 5
|0 StatID:(DE-HGF)9900
|2 StatID
|d 2024-12-18
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
|d 2024-12-18
915 _ _ |a Article Processing Charges
|0 StatID:(DE-HGF)0561
|2 StatID
|d 2024-12-18
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1150
|2 StatID
|b Current Contents - Physical, Chemical and Earth Sciences
|d 2024-12-18
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2024-12-18
915 _ _ |a Creative Commons Attribution CC BY 4.0
|0 LIC:(DE-HGF)CCBY4
|2 HGFVOC
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2024-12-18
920 1 _ |0 I:(DE-Juel1)JSC-20090406
|k JSC
|l Jülich Supercomputing Center
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)JSC-20090406
980 1 _ |a FullTexts

LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21