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    Toward Future Reanalyses That Meet Evolving Needs in Science, Public Services, Policymaking, and Socioeconomic Activity


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    Nakamura, Hisashi, Kobayashi, Shinya, Wanzala, Maureen Anyango, Adloff, Fanny, Cheng, Lijing, Cobb, Alison, Dee, Dick, El Akkraoui, Amal, Fujiwara, Masatomo, Hersbach, Hans, Naoe, Hiroaki, Rani, S. Indira, Rayner, Nick, Simmons, Adrian, Slivinski, Laura, Tanaka, Taichu, Thorne, Peter, Yang, Chunxue, Yin, Yonghong, Ayinde, Akeem Shola, Banerjee, Abhirup, Bosilovich, Michael G., Buela, Leunell Chris Medrano, Dong, Bo, Fukui, Shin, Hirose, Nariaki, Ikeuchi, Hiroki, Krakauer, Nir, Lenouo, Andre, Niraula, Bimochan, Oikonomou, Charikleia L. G., Sekizawa, Shion, Sharma, Nischal, Yamazaki, Akira and Yoshida, Takuma (2025) Toward Future Reanalyses That Meet Evolving Needs in Science, Public Services, Policymaking, and Socioeconomic Activity. Bulletin of the American Meteorological Society, 106 (7). E1445-E1453. ISSN 1520-0477

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    Abstract

    The Sixth WCRP International Conference on Reanalysis (ICR6) What: Reanalysis producers, observation data providers, numerical modelers, and members of the user community came together to discuss progress, challenges, and future priorities with the aim of guiding the development and use of reanalysis data in science, public services, policymaking, and social/economic activity. When: 28 October–1 November 2024 Where: Tokyo, Japan
    Item Type: Article
    Additional Information: ICR6 was co-organized by WCRP, the Japan Meteorological Agency, “Climate change actions with co-creation powered by regional weather information and E-technology” (ClimCORE), and the University of Tokyo, and co-sponsored by the WCRP ESMO Core Project and SoftBank Corp. It was also supported by JST Grant JPMJPF2013 and funding from the German Federal Ministry of Research, Technology and Space (BMFTR) through the ESMO project (Grant 01LP2312A). Please note that the statements, findings, and recommendations are those of the authors and do not necessarily reflect the views of NOAA or the U.S. Department of Commerce.
    Keywords: Data assimilation; Reanalysis data; Climate services; Machine learning;
    Academic Unit: Faculty of Social Sciences > Geography
    Faculty of Social Sciences > Research Institutes > Irish Climate Analysis and Research Units, ICARUS
    Item ID: 21321
    Identification Number: 10.1175/BAMS-D-25-0126.1
    Depositing User: ICARUS Geography
    Date Deposited: 18 Mar 2026 15:43
    Journal or Publication Title: Bulletin of the American Meteorological Society
    Publisher: American Meteorological Society
    Refereed: Yes
    Related URLs:
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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