From speed to trust: ensuring transparency in AI-based extreme weather forecasts.

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Title: From speed to trust: ensuring transparency in AI-based extreme weather forecasts.
Authors: Wang X; School of Information Management, Central China Normal University, Wuhan, China., Qin Z; School of Information Management, Central China Normal University, Wuhan, China.
Source: Integrated environmental assessment and management [Integr Environ Assess Manag] 2026 Jan 01; Vol. 22 (1), pp. 319-320.
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 101234521 Publication Model: Print Cited Medium: Internet ISSN: 1551-3793 (Electronic) Linking ISSN: 15513777 NLM ISO Abbreviation: Integr Environ Assess Manag Subsets: MEDLINE
Database: MEDLINE Ultimate
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      – Type: doi
        Value: 10.1093/inteam/vjaf133
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      – Code: eng
        Text: English
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        StartPage: 319
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      – TitleFull: From speed to trust: ensuring transparency in AI-based extreme weather forecasts.
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            NameFull: Wang X
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            NameFull: Qin Z
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            – D: 01
              M: 01
              Text: 2026 Jan 01
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              Y: 2026
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              Value: 22
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